{"id":10574,"date":"2016-08-15T00:00:00","date_gmt":"2016-08-15T04:00:00","guid":{"rendered":"http:\/\/localhost\/thenewatlantis.com\/publications\/saving-science"},"modified":"2020-09-26T14:04:23","modified_gmt":"2020-09-26T18:04:23","slug":"saving-science","status":"publish","type":"article","link":"https:\/\/www.thenewatlantis.com\/publications\/saving-science","title":{"rendered":"Saving Science"},"content":{"rendered":"\n<p class=\"has-drop-cap\">Science, pride of modernity, our one source of objective knowledge, is in deep trouble. Stoked by fifty years of growing public investments, scientists are more productive than ever, pouring out millions of articles in thousands of journals covering an ever-expanding array of fields and phenomena. But much of this supposed knowledge is turning out to be contestable, unreliable, unusable, or flat-out wrong. From metastatic cancer to climate change to growth economics to dietary standards, science that is supposed to yield clarity and solutions is in many instances leading instead to contradiction, controversy, and confusion. Along the way it is also undermining the four-hundred-year-old idea that wise human action can be built on a foundation of independently verifiable truths. Science is trapped in a self-destructive vortex; to escape, it will have to abdicate its protected political status and embrace both its limits and its accountability to the rest of society.<\/p>\n\n\n\n<p class=\"ArticleText\">The story of how things got to this state is difficult to unravel, in no small part because the scientific enterprise is so well-defended by walls of hype, myth, and denial. But much of the problem can be traced back to a bald-faced but beautiful lie upon which rests the political and cultural power of science. This lie received its most compelling articulation just as America was about to embark on an extended period of extraordinary scientific, technological, and economic growth. It goes like this:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>Scientific progress on a broad front results from the free play of free intellects, working on subjects of their own choice, in the manner dictated by their curiosity for exploration of the unknown.<\/p><\/blockquote>\n\n\n\n<p style=\"display: block; float: right; margin: 5px 10px 10px 10px; text-align: center;\"><img decoding=\"async\" loading=\"lazy\" src=\"http:\/\/www.thenewatlantis.com\/wp-content\/uploads\/legacy\/20160816_TNA49SarewitzEndlessFrontierCoverw300.jpg\" width=\"300\" height=\"464\" border=\"0\"><br><span class=\"article_image_caption\" style=\"display: block; width: 300px;\"><i>\u201cThe free play of free intellects &#8230; dictated by their curiosity\u201d<\/i><\/span><\/p>\n\n\n\n<p class=\"ArticleText\">So deeply embedded in our cultural psyche that it seems like an echo of common sense, this powerful vision of science comes from Vannevar Bush, the M.I.T. engineer who had been the architect of the nation\u2019s World War II research enterprise, which delivered the atomic bomb and helped to advance microwave radar, mass production of antibiotics, and other technologies crucial to the Allied victory. He became justly famous in the process. Featured on the <a href=\"http:\/\/content.time.com\/time\/covers\/0,16641,19440403,00.html\">cover of <i>Time<\/i> magazine<\/a>, he was dubbed the \u201cGeneral of Physics.\u201d As the war drew to a close, Bush envisioned transitioning American science to a new era of peace, where top academic scientists would continue to receive the robust government funding they had grown accustomed to since Pearl Harbor but would no longer be shackled to the narrow dictates of military need and application, not to mention discipline and secrecy. Instead, as he put it in his July 1945 report <a href=\"https:\/\/archive.org\/stream\/scienceendlessfr00unit#page\/n3\/mode\/2up\"><i>Science, The Endless Frontier<\/i><\/a>, by pursuing \u201cresearch in the purest realms of science\u201d scientists would build the foundation for \u201cnew products and new processes\u201d to deliver health, full employment, and military security to the nation.<\/p>\n\n\n\n<p class=\"ArticleText\">From this perspective, the lie as Bush told it was perhaps less a conscious effort to deceive than a seductive manipulation, for political aims, of widely held beliefs about the purity of science. Indeed, Bush\u2019s efforts to establish the conditions for generous and long-term investments in science were extraordinarily successful, with U.S. federal funding for \u201cbasic research\u201d rising <a href=\"http:\/\/www.nsf.gov\/statistics\/2016\/nsb20161\/uploads\/1\/7\/at04-07.pdf\">from $265 million in 1953 to $38 billion in 2012<\/a>, a twentyfold increase when adjusted for inflation. More impressive still was the increase for basic research at universities and colleges, which rose <a href=\"http:\/\/www.nsf.gov\/statistics\/2016\/nsb20161\/uploads\/1\/7\/at04-03.pdf\">from $82 million to $24 billion<\/a>, a more than fortyfold increase when adjusted for inflation. By contrast, government spending on more \u201capplied research\u201d at universities was much less generous, rising <a href=\"http:\/\/www.nsf.gov\/statistics\/2016\/nsb20161\/uploads\/1\/7\/at04-08.pdf\">to just under $10 billion<\/a>. The power of the lie was palpable: \u201cthe free play of free intellects\u201d would provide the knowledge that the nation needed to confront the challenges of the future.<\/p>\n\n\n\n<p class=\"ArticleText\">To go along with all that money, the beautiful lie provided a politically brilliant rationale for public spending with little public accountability. Politicians delivered taxpayer funding to scientists, but only scientists could evaluate the research they were doing. Outside efforts to guide the course of science would only interfere with its free and unpredictable advance.<\/p>\n\n\n\n<figure class=\"wp-block-image alignwide size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"674\" src=\"http:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2016\/08\/TNA49-Sarewitz-VannevarBush.jpg\" alt=\"\" class=\"wp-image-17140\" srcset=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2016\/08\/TNA49-Sarewitz-VannevarBush.jpg 1024w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2016\/08\/TNA49-Sarewitz-VannevarBush-640x421.jpg 640w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption>Vannevar Bush<br><a rel=\"noreferrer noopener\" href=\"http:\/\/www.gettyimages.com\/detail\/news-photo\/prof-vannevar-bush-of-mit-testifying-during-the-johnson-news-photo\/50345791#prof-vannevar-bush-of-mit-testifying-during-the-johnson-hearings-picture-id50345791\" target=\"_blank\">Hank Walker\/The LIFE Picture Collection\/Getty Images<\/a><\/figcaption><\/figure>\n\n\n\n<p class=\"ArticleText\">The fruits of curiosity-driven scientific exploration into the unknown have often been magnificent. The recent discovery of gravitational waves \u2014 an experimental confirmation of Einstein\u2019s theoretical work from a century earlier \u2014 provided a high-publicity culmination of billions of dollars of public spending and decades of research by large teams of scientists. Multi-billion dollar investments in space exploration have yielded similarly startling knowledge about our solar system, such as the recent evidence of flowing water on Mars. And, speaking of startling, anthropologists and geneticists have used genome-sequencing technologies to offer evidence that early humans interbred with two other hominin species, Neanderthals and Denisovans. Such discoveries heighten our sense of wonder about the universe and about ourselves.<\/p>\n\n\n<div class=\"lazyblock-general-highlight-Z1cBX6a wp-block-lazyblock-general-highlight\"><div class=\"block-tna-highlight block-offset-float print:hidden\">\r\n\t<div class=\"py-8 px-6 text-center bg-almost-white\">\r\n\t  \t\t<h3>Daniel Sarewitz Discusses <br \/>\u201cSaving Science\u201d<br \/><br \/><\/h3>\n<ul>\n<li><a href=\"https:\/\/soundcloud.com\/tnajournal\/interview-about-saving-science\"><i>The<\/i><i> New<\/i><i> At<\/i><i>lantis<\/i><\/a><\/li>\n<li><a href=\"https:\/\/asunow.asu.edu\/20160826-solutions-asu-daniel-sarewitz-saving-science\">ASU Now<\/a><\/li>\n<li><a href=\"http:\/\/www.wbur.org\/onpoint\/2016\/08\/31\/science-discovery-research-sarewitz\">NPR\u2019s On Point<\/a><\/li>\n<li><a href=\"https:\/\/www.c-span.org\/video\/?414918-5\/washington-journal-daniel-sarewitz-role-science\">C-SPAN\u2019s Washington Journal<\/a><\/li>\n<li><a href=\"http:\/\/www.realclearradio.org\/shows\/big-science-bubble\/\">RealClear Radio Hour<\/a><\/li>\n<li><a href=\"https:\/\/soundcloud.com\/user-723097380\/sarewitz-saves-science\">ASU\u2019s FutureThink Podcast<\/a><\/li>\n<\/ul>\t<\/div>\r\n<\/div>\r\n<\/div>\n\n\n<p class=\"ArticleText\">And somehow, it would seem, even as scientific curiosity stokes ever-deepening insight about the fundamental workings of our world, science managed simultaneously to deliver a cornucopia of miracles on the practical side of the equation, just as Bush predicted: digital computers, jet aircraft, cell phones, the Internet, lasers, satellites, GPS, digital imagery, nuclear and solar power. When Bush wrote his report, nothing made by humans was orbiting the earth; software didn\u2019t exist; smallpox still did.<\/p>\n\n\n\n<p class=\"ArticleText\">So one might be forgiven for believing that this amazing effusion of technological change truly was the product of \u201cthe free play of free intellects, working on subjects of their own choice, in the manner dictated by their curiosity for exploration of the unknown.\u201d But one would be mostly wrong.<\/p>\n\n\n\n<p class=\"ArticleText\">Science has been important for technological development, of course. Scientists have discovered and probed phenomena that turned out to have enormously broad technological applications. But the miracles of modernity in the above list came not from \u201cthe free play of free intellects,\u201d but from the leashing of scientific creativity to the technological needs of the U.S. Department of Defense (DOD).<\/p>\n\n\n\n<p class=\"ArticleText\">The story of how DOD mobilized science to help create our world exposes the lie for what it is and provides three difficult lessons that have to be learned if science is to evade the calamity it now faces.<\/p>\n\n\n\n<p class=\"ArticleText\">First, scientific knowledge advances most rapidly, and is of most value to society, not when its course is determined by the \u201cfree play of free intellects\u201d but when it is steered to solve problems \u2014 especially those related to technological innovation.<\/p>\n\n\n\n<p class=\"ArticleText\">Second, when science is not steered to solve such problems, it tends to go off half-cocked in ways that can be highly detrimental to science itself.<\/p>\n\n\n\n<p class=\"ArticleText\">Third \u2014 and this is the hardest and scariest lesson \u2014 science will be made more reliable and more valuable for society today not by being protected from societal influences but instead by being brought, carefully and appropriately, into a direct, open, and intimate relationship with those influences.<\/p>\n\n\n<div class=\"lazyblock-section-break-Z1FbEHC wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tHow DOD Gave Science Its Mojo\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">A<\/span>lmost immediately after World War II, the Department of War \u2014 soon renamed the Department of Defense \u2014 began to harness together the complete set of players necessary to ensure the United States would have all the technologies needed to win the Cold War. This is what President Eisenhower, in 1961, <a href=\"http:\/\/www.c-span.org\/video\/?15026-1\/eisenhower-farewell-address\">would call the \u201cmilitary-industrial complex\u201d<\/a> and what today would be termed, more broadly, the \u201cnational innovation system.\u201d It includes everything from university laboratories and scientists, to the small and large companies that develop and commercialize innovations, to the users of those innovations \u2014 in this case, the military itself. DOD was able to catalyze rapid innovation because money was, more or less, no object; the mission \u2014 ensuring that America\u2019s military technologies were better than anyone else\u2019s \u2014 was all that mattered.<\/p>\n\n\n\n<p class=\"ArticleText\">How do you create materials for jet engines and fuselages that are lighter and more durable under extreme conditions? How do you obtain high-resolution images of an enemy\u2019s military facilities from an orbiting satellite? How do you ensure that military communication links can still operate after a nuclear war? These are the types of questions that the military needed to have answered, questions that demanded advances in fundamental knowledge as well as technological know-how. DOD\u2019s needs provided not just investments in but also a powerful focus for advances in basic research in fields ranging from high-energy physics to materials science to fluid dynamics to molecular biology.<\/p>\n\n\n\n<figure><iframe loading=\"lazy\" src=\"https:\/\/w.soundcloud.com\/player\/?url=https:\/\/api.soundcloud.com\/tracks\/278715964&amp;auto_play=false&amp;hide_related=false&amp;show_comments=true&amp;show_user=true&amp;show_reposts=false&amp;visual=true\" scrolling=\"no\" style=\"margin:10px 0 10px 10px\" width=\"68%\" height=\"350\" frameborder=\"no\" align=\"right\"><\/iframe><\/figure>\n\n\n\n<p class=\"ArticleText\">At the same time, protected from both the logic of the marketplace and the capriciousness of politics by the imperative of national defense, DOD was a demanding customer for some of the most advanced technological products that high-tech corporations could produce. For example, the first digital computer \u2014 built in the mid-1940s to calculate the trajectories of artillery shells and used to design the first hydrogen bomb \u2014 cost about $500,000 (around $4.7 million today), operated billions of times more slowly than modern computers, took up the space of a small bus, and had no immediate commercial application. Who but the Pentagon would buy such a crazy thing? But DOD also supported the science needed to keep innovation going. In the late 1950s and well into the 1960s, as the role for computers in military affairs was growing but the science wasn\u2019t keeping up, DOD\u2019s Advanced Research Projects Agency essentially created computer science as an academic discipline by funding work at M.I.T., Carnegie Mellon, Stanford, and other institutions.<\/p>\n\n\n\n<p class=\"ArticleText\">Another example: The earliest jet engines, back in the 1940s, needed to be overhauled <a href=\"https:\/\/archive.org\/stream\/jetpropulsionpro00nevi#page\/n5\/mode\/2up\">about every hundred hours<\/a> and were <a href=\"https:\/\/books.google.com\/books?id=Hg5BB5V2hd4C&amp;pg=PA69&amp;lpg=PA69&amp;dq=\">forty-five times less fuel-efficient<\/a> than piston engines. Why waste public money on such a technology? Because military planners knew that jet power promised combat performance greatly superior to planes powered by piston engines. For decades the <a href=\"http:\/\/www.dtic.mil\/dtic\/tr\/fulltext\/u2\/a211347.pdf\">Air Force and Navy funded research and development<\/a> in the aircraft industry to continually drive improvement of jet engines. Meanwhile, the Boeing Company could take the jet-engine-powered aerial fuel tanker it was developing for the Air Force and use a similar design for its 707 passenger jet, the first truly safe and reliable commercial jet aircraft.<\/p>\n\n\n\n<p class=\"ArticleText\">And another: AT&amp;T\u2019s Bell Labs, where the transistor effect was discovered, could use the demands (and investments) of the Army Signal Corps for smaller and more reliable battlefield communication technologies to improve scientific understanding of semiconducting materials as well as the reliability and performance of transistors. It was military purchases that kept the new transistor, semiconductor, and integrated-circuit industries afloat in the early and mid-1950s. As historian Thomas Misa explained in <a href=\"https:\/\/www.amazon.com\/Military-Enterprise-Technological-Change-Merritt\/dp\/026219239X\/ref=as_sl_pc_qf_sp_asin_til?tag=thenewatl-20&amp;linkCode=w00&amp;linkId=765c7ea86bcfca1c30a277d131708482&amp;creativeASIN=026219239X\">his study<\/a> of DOD\u2019s role in stimulating the development of transistors: \u201cBy subsidizing engineering development and the construction of manufacturing facilities &#8230; the military catalyzed the establishment of an industrial base\u201d \u2014 helping to create the technological and industrial backbone for the information age. And new weapons such as missile systems and ever-more powerful nuclear warheads continued to drive the development of and demand for increasingly sophisticated and reliable electronic components such as microprocessors and supercomputers.<\/p>\n\n\n\n<p class=\"ArticleText\">Today, DOD continues to push rapid innovation in select areas, including robotics (especially for drone warfare) and human enhancement (for example, to improve the battlefield performance of soldiers). But through a combination of several factors \u2014 including excessive bureaucratic growth, interference from Congress, and long-term commitments to hugely expensive and troubled weapons systems with little civilian spillover potential, such as missile defense and the F-35 joint strike fighter \u2014 the Pentagon\u2019s creativity and productivity as an innovator <a href=\"https:\/\/www.amazon.com\/Trillions-Military-Technology-Pentagon-Innovates\/dp\/1403984263\/ref=as_li_ss_tl?ie=UTF8&amp;linkCode=ll1&amp;tag=thenewatl-20\">has significantly dissipated<\/a>.<b><\/b><\/p>\n\n\n\n<p class=\"ArticleText\">Yet the scientific and technological foundations that DOD helped to create during the Cold War continue to support the American economy. To take just one example, of the thirteen areas of technological advance that were essential to the development of the iPhone, eleven \u2014 including the microprocessor, GPS, and the Internet \u2014 can be traced back to vital military investments in research and technological development.<\/p>\n\n\n\n<p class=\"ArticleText\">Americans lionize the scientist as head-in-the-clouds genius (the Einstein hero) and the inventor as misfit-in-the-garage genius (the Steve Jobs or Bill Gates hero). The discomfiting reality, however, is that much of today\u2019s technological world exists because of DOD\u2019s role in catalyzing and steering science and technology. This was industrial policy, and it worked because it brought all of the players in the innovation game together, disciplined them by providing strategic, long-term focus for their activities, and shielded them from the market rationality that would have doomed almost every crazy, over-expensive idea that today makes the world go round. The great accomplishments of the military-industrial complex did not result from allowing scientists to pursue \u201csubjects of their own choice, in the manner dictated by their curiosity,\u201d but by channeling that curiosity toward the solution of problems that DOD wanted to solve.<\/p>\n\n\n\n<p class=\"ArticleText\">Such goal-driven industrial policies are supposed to be the stuff of Soviet five-year plans, not market-based democracies, and neither scientists nor policymakers have had much of an appetite for recognizing DOD\u2019s role in creating the foundations of our modern economy and society. Vannevar Bush\u2019s beautiful lie has been a much more appealing explanation, ideologically and politically. Not everyone, however, has been fooled.<\/p>\n\n\n<div class=\"lazyblock-section-break-2sxd1O wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tWar on Cancer\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">F<\/span>ran Visco was diagnosed with breast cancer in 1987. A Philadelphia trial lawyer intimidated by no one, she chose to be treated with a less toxic chemotherapy than the one her doctor recommended. She also started volunteering for a local breast cancer patient-support group, which soon led to an invitation to the organizing meeting of what came to be called the National Breast Cancer Coalition. NBCC was conceived as a political advocacy organization that would provide a unified voice for local patient groups across the nation \u2014 an approach that appealed to Visco\u2019s activist nature. She became the organization\u2019s first president, and has ever since been a national leader for mobilizing science, medicine, policy, and politics around the goal of eliminating the disease.<\/p>\n\n\n\n<p class=\"ArticleText\">Visco was a child of the lie. \u201cAll I knew about science was that it was this pure search for truth and knowledge.\u201d So, logically enough, she and the other activists at NBCC started out by trying to get more money for breast cancer research at the country\u2019s most exalted research organization, the National Institutes of Health\u2019s National Cancer Institute. But Visco was also a child of the Sixties with a penchant for questioning authority, and she wanted to play an active role in figuring out how much money was needed for research and how best to spend it. She and her NBCC colleagues identified a community of cancer researchers that they thought were particularly innovative, and brought everyone together in February 1992 to discuss what was needed to find cures more quickly and how much it would cost.<b> <\/b>Together, the advocates and scientists determined that $300 million of new money could be absorbed and well spent by the scientific community \u2014 a goal that found strong support in Congress. Meanwhile, Visco and other patient-advocates began to immerse themselves deeply in the science so they could \u201chave a seat at the table and figure out how those dollars should be spent.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Through an accident of congressional budgeting, it turned out that the only way to meet the $300 million goal was to have most of the money allocated to the Department of Defense. So in November 1992, Congress appropriated $210 million for a peer-reviewed breast cancer research program to be administered by the Army. The initial plan was to have most of the money transferred to the National Cancer Institute, but when Visco and her NBCC colleagues met with NCI officials to discuss how best to spend the new dollars, Director Sam Broder explained how difficult it was to influence the momentum of science because priorities were established by the bottom-up interests of the research community itself. This, Visco said, \u201cgave us absolutely no comfort that he was going to do anything differently.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">When Visco went to DOD, \u201cit was a completely different meeting.\u201d With Major General Richard Travis, the Army\u2019s research and development director, \u201cit was, \u2018you know, we\u2019re the Army, and if you give us a mission, we figure out how to accomplish that mission.\u2019\u201d It was, \u201c\u2018Ladies, I\u2019m going to lead you into battle and we\u2019re going to win the war.\u2019\u201d<\/p>\n\n\n\n<figure class=\"wp-block-image alignwide size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"683\" src=\"http:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2016\/08\/TNA49-Sarewitz-FranVisco-1.jpg\" alt=\"\" class=\"wp-image-17145\" srcset=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2016\/08\/TNA49-Sarewitz-FranVisco-1.jpg 1024w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2016\/08\/TNA49-Sarewitz-FranVisco-1-640x427.jpg 640w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption>\u201cAt some point, you really have to save a life\u201d: Fran Visco speaks at an NBCC event at the U.S. Capitol in 2007.<br><a rel=\"noreferrer noopener\" href=\"http:\/\/www.gettyimages.com\/event\/the-national-breast-cancer-coalition-holds-news-conference-73717979#coalition-president-fran-visco-speaks-at-the-national-breast-cancer-picture-id73733173\" target=\"_blank\"><cite>Nancy Ostertag\/Getty Images<\/cite><\/a><\/figcaption><\/figure>\n\n\n\n<p class=\"ArticleText\">Although Visco was at first \u201cterrified\u201d to find herself working with the military, she also found it refreshing and empowering \u2014 a \u201cfantastic collaboration and partnership.\u201d NCI leaders had reminded Visco that she was an activist and a patient, not a peer. But Gen. Travis told her and her colleagues, \u201cYou want a seat at the table, I\u2019ll make sure you have a seat at the table.\u201d The Army welcomed the participation of patient-activists in the planning process for the breast cancer program, directly involved them in the final selection of scientific projects to be funded, and eventually even brought them into the processes for reviewing the merits of various research proposals.<\/p>\n\n\n\n<p class=\"ArticleText\">DOD\u2019s can-do approach, its enthusiasm about partnering with patient-advocates, and its dedication to solving the problem of breast cancer \u2014 rather than simply advancing our scientific understanding of the disease \u2014 won Visco over. And it didn\u2019t take long for benefits to appear. During its first round of grantmaking in 1993\u201394, the program funded research on a new, biologically based targeted breast cancer therapy \u2014 a project that had already been turned down multiple times by NIH\u2019s peer-review system because the conventional wisdom was that targeted therapies wouldn\u2019t work. The DOD-funded studies led directly to the development of the drug Herceptin, one of the most important advances in breast cancer treatment in recent decades.<\/p>\n\n\n\n<p class=\"ArticleText\">According to Dennis Slamon, the lead scientist on that project, the openness of the DOD program to funding projects like his that went against mainstream scientific beliefs was due to the patient-activists. \u201cAbsolutely, unequivocally, no question. The scientific community, perhaps even myself included, were skeptical that it was going to be doable \u2014 that a bunch of laypeople, who weren\u2019t trained in-depth in science, were going to sit at the table and really be involved in the peer-review process in a meaningful way. And we could not have been more wrong.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">There have been few major advances in breast cancer treatment since then, but one of the most promising \u2014 a targeted therapy called palbociclib \u2014 was funded by the same DOD program and was approved by the FDA in 2015 after successful clinical trials. Despite the objections of scientists advising the program, patient-advocates also pushed DOD to ramp up funding for immunological approaches to curing breast cancer, including support for vaccine research too unconventional to be supported by either NCI or the pharmaceutical industry.<\/p>\n\n\n\n<p class=\"ArticleText\">NBCC\u2019s collaboration with DOD exemplifies how science can be steered in directions it would not take if left to scientists alone. But that turned out not to be enough. Twenty years into the Army\u2019s breast cancer program, Visco found herself deeply frustrated. The Army was providing grants for innovative, high-risk proposals that might not have been funded by NCI. But that\u2019s where the program\u2019s influence ended. What Visco and Gen. Travis had failed to appreciate was that, when it came to breast cancer, the program lacked the key ingredient that made DOD such a successful innovator in other fields: the money and control needed to coordinate all the players in the innovation system and hold them accountable for working toward a common goal. And so, as NBCC and other groups brought more and more money into the research system through their effective lobbying campaigns, it grew clear to Visco that the main beneficiaries were individual scientists attracted by the new funding \u2014 not breast cancer patients. To be sure, the DOD support for innovative research is \u201cbetter than what\u2019s happening at NCI and NIH, but it\u2019s not better <i>enoug<\/i><i>h<\/i> &#8230; it\u2019s innovation within the existing system.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Ultimately, \u201call the money that was thrown at breast cancer created more problems than success,\u201d Visco says. What seemed to drive many of the scientists was the desire to \u201cget above the fold on the front page of the <i>New York Times<\/i>,\u201d not to figure out how to end breast cancer. It seemed to her that creativity was being stifled as researchers displayed \u201ca lemming effect,\u201d chasing abundant research dollars as they rushed from one hot but ultimately fruitless topic to another. \u201cWe got tired of seeing so many people build their careers around one gene or one protein,\u201d she says. Visco has a scientist\u2019s understanding of the extraordinary complexity of breast cancer and the difficulties of making progress toward a cure. But when it got to the point where NBCC had helped bring $2 billion to the DOD program, she started asking: \u201cAnd what? And what is there to show? You want to do this science <i>and wha<\/i><i>t<\/i>?\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">\u201cAt some point,\u201d Visco says, \u201cyou really have to save a life.\u201d<\/p>\n\n\n<div class=\"lazyblock-section-break-Z1UvL05 wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tThe Measure of Progress\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">F<\/span>or much of human history, technology advanced through craftsmanship and trial-and-error tinkering, with little theoretical understanding. The systematic study of nature \u2014 what we today call science \u2014 was a distinct domain, making little or no contribution to technological development. Yet technology has contributed in obvious ways to scientific advance for centuries, as practical tools such as lenses, compasses, and clocks allowed scientists to study nature with ever greater accuracy and resolution. The relationship only started to swing both ways, with science contributing to technological advancement as well as benefiting from it, in the nineteenth century as, for example, organic chemistry both emerged from and found application in the German dye-making industry.<\/p>\n\n\n\n<p class=\"ArticleText\">And as the Industrial Revolution came to link technological innovation to historically unprecedented economic growth, scientists began to make many important contributions to fundamental knowledge by studying phenomena whose existence was brought to light only because of the new technologies of an industrializing world. Efforts to improve the performance of steam engines, wine manufacturing, steel-making, and telephone communication \u2014 to name just a few \u2014 guided much scientific inquiry, and, in some cases led to entirely new fields of basic research, such as thermodynamics, bacteriology, and radio astronomy. New technologies also provided discipline and focus for areas of fundamental science that had been progressing slowly, as vaccines did for immunology and airplanes did for theoretical aerodynamics.<\/p>\n\n\n\n<p class=\"ArticleText\">Science has been such a wildly successful endeavor over the past two hundred years in large part because technology blazed a path for it to follow. Not only have new technologies created new worlds, new phenomena, and new questions for science to explore, but technological performance has provided a continuous, unambiguous demonstration of the validity of the science being done. The electronics industry and semiconductor physics progressed hand-in-hand not because scientists, working \u201cin the manner dictated by their curiosity for exploration of the unknown,\u201d kept lobbing new discoveries over the lab walls that then allowed transistor technology to advance, but because the quest to improve technological performance constantly raised new scientific questions and demanded advances in our understanding of the behavior of electrons in different types of materials.<\/p>\n\n\n\n<p class=\"ArticleText\">Or, again, consider how the rapid development of computers beginning in the 1950s, catalyzed by DOD, led to the demand for new types of theories and knowledge about how to acquire, store, and process digital information \u2014 a new science for a new technology. Thirty years later, computer scientists were probing phenomena in a rapidly developing technological realm that had never existed before \u2014 cyberspace and the World Wide Web \u2014 and were asking questions that could never have been imagined, let alone answered, before. The National Science Foundation funded basic research into this new, technology-created realm, including grants to two graduate students in computer science at Stanford University who wanted to understand how best to navigate the novel and expanding landscape of digital information. They published their results in the 1998 article \u201c<a href=\"http:\/\/dx.doi.org\/10.1016\/S0169-7552(98)00110-X\">The Anatomy of a Large-Scale Hypertextual Web Search Engine<\/a>.\u201d The abstract begins: \u201cIn this paper, we present Google &#8230;\u201d \u2014 the web-search protocol that led to the corporate empire whose technologies are today woven into the fabric of daily life, and whose economic and social influence is every bit as powerful as the great railroad, steel, automobile, and telecommunications corporations of previous technological revolutions. Technology led; science followed.<\/p>\n\n\n\n<p class=\"ArticleText\">If, as Visco says, \u201cat some point you really have to save a life,\u201d it will be a technology, perhaps a vaccine or drug, that does the job. Technology is what links science to human experience; it is what makes science real for us. A light switch, a jet aircraft, or a measles vaccine, these are cause-and-effect machines that turn phenomena that can be described by science \u2014 the flow of electrons, the movement of air molecules, the stimulation of antibodies \u2014 into reliable outcomes: the light goes on, the jet flies, the child becomes immune. The scientific phenomena <i>must<\/i> be real or the technologies would not work.<\/p>\n\n\n\n<p class=\"ArticleText\">Vannevar Bush\u2019s beautiful lie makes it easy to believe that scientific imagination gives birth to technological progress, when in reality technology sets the agenda for science, guiding it in its most productive directions and providing continual tests of its validity, progress, and value. Absent their real-world validation through technology, scientific truths would be mere abstractions. Here is where the lie exercises its most corrupting power: If we think that scientific progress is best pursued by \u201cthe free play of free intellects,\u201d we give science a free pass to define progress without reference to the world beyond it. But if there is nothing by which to measure scientific progress outside of science itself, how can we know when our knowledge is advancing, standing still, or moving backwards?<\/p>\n\n\n\n<p class=\"ArticleText\">It turns out that we cannot.<\/p>\n\n\n<div class=\"lazyblock-section-break-21K6aN wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tEinstein, We Have a Problem\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">T<\/span>he science world has been buffeted for nearly a decade by growing revelations that major bodies of scientific knowledge, published in peer-reviewed papers, may simply be wrong. Among recent instances: a cancer cell line used as the basis for over a thousand published breast cancer research studies was <a href=\"http:\/\/www.the-scientist.com\/?articles.view\/articleNo\/26748\/title\/A-case-of-mistaken-identity\/\">revealed to be<\/a> actually a skin cancer cell line; a biotechnology company was <a href=\"http:\/\/dx.doi.org\/10.1038\/483531a\">able to replicate<\/a> only six out of fifty-three \u201clandmark\u201d published studies it sought to validate; a test of more than one hundred potential drugs for treating amyotrophic lateral sclerosis in mice was <a href=\"http:\/\/dx.doi.org\/10.1038\/507423a\">unable to reproduce<\/a> any of the positive findings that had been reported from previous studies; a compilation of nearly one hundred fifty clinical trials for therapies to block human inflammatory response <a href=\"http:\/\/dx.doi.org\/10.1073\/pnas.1222878110\">showed that<\/a> even though the therapies had supposedly been validated using mouse model experiments, every one of the trials failed in humans; a statistical assessment of the use of functional magnetic resonance imaging (fMRI) to map human brain function <a href=\"http:\/\/dx.doi.org\/10.1073\/pnas.1602413113\">indicated that<\/a> up to 70 percent of the positive findings reported in approximately 40,000 published fMRI studies could be false; and an article assessing the overall quality of basic and preclinical biomedical research <a href=\"http:\/\/dx.doi.org\/10.1161\/CIRCRESAHA.114.303819\">estimated that<\/a> between 75 and 90 percent of all studies are not reproducible. Meanwhile, <a href=\"http:\/\/dx.doi.org\/10.1126\/science.aac4716\">a painstaking effort<\/a> to assess the quality of one hundred peer-reviewed psychology experiments was able to replicate only 39 percent of the original papers\u2019 results; annual mammograms, once the frontline of the war on breast cancer, have been shown to confer <a href=\"http:\/\/dx.doi.org\/10.1136\/bmj.g366\">little benefit<\/a> for women in their forties; and, of course, we\u2019ve all been relieved to learn after all these years that saturated fat actually <a href=\"http:\/\/dx.doi.org\/10.7326\/M13-1788\">isn\u2019t that bad for us<\/a>. The number of retracted scientific publications <a href=\"http:\/\/dx.doi.org\/10.1038\/478026a\">rose tenfold<\/a> during the first decade of this century, and although that number still remains in the mere hundreds, the growing number of studies such as those mentioned above suggests that poor quality, unreliable, useless, or invalid science may in fact be the norm in some fields, and the number of scientifically suspect or worthless publications may well be counted in the hundreds of thousands annually. While most of the evidence of poor scientific quality is coming from fields related to health, biomedicine, and psychology, the problems are likely to be as bad or worse in many other research areas. For example, a survey of statistical practices in economics research <a href=\"http:\/\/dx.doi.org\/10.1111\/joes.12032\">concluded that<\/a> \u201cthe credibility of the economics literature is likely to be modest or even low.\u201d<\/p>\n\n\n\n<figure class=\"wp-block-image size-medium\"><img decoding=\"async\" loading=\"lazy\" width=\"1280\" height=\"1984\" src=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-FloatingScientistsCOLOR-1280x1984.jpg\" alt=\"\" class=\"wp-image-14753\" srcset=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-FloatingScientistsCOLOR-1280x1984.jpg 1280w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-FloatingScientistsCOLOR-640x992.jpg 640w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-FloatingScientistsCOLOR-991x1536.jpg 991w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-FloatingScientistsCOLOR-1321x2048.jpg 1321w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-FloatingScientistsCOLOR-600x930.jpg 600w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-FloatingScientistsCOLOR.jpg 1500w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><figcaption><a rel=\"noreferrer noopener\" href=\"http:\/\/morganrayschweitzer.com\/\" target=\"_blank\"><cite>Morgan Ray Schweitzer<\/cite><\/a><\/figcaption><\/figure>\n\n\n\n<p class=\"ArticleText\">What is to be made of this ever-expanding litany of dispiriting revelations and reversals? Well, one could celebrate. \u201cInstances in which scientists detect and address flaws in work constitute evidence of success, not failure,\u201d a group of leaders of the American science establishment \u2014 including the past, present, and future presidents of the National Academy of Sciences \u2014 <a href=\"http:\/\/dx.doi.org\/10.1126\/science.aab3847\">wrote in <i>Science<\/i><\/a> in 2015, \u201cbecause they demonstrate the underlying protective mechanisms of science at work.\u201d But this happy posture ignores the systemic failings at the heart of science\u2019s problems today.<\/p>\n\n\n\n<p class=\"ArticleText\">When it works, science is a process of creating new knowledge about the world, knowledge that helps us understand how what we thought we knew was incomplete or even wrong. This picture of success doesn\u2019t mean, however, that we should reasonably expect that most scientific results are unreliable or invalid at the moment they are published. What it means, instead, is that the results of research \u2014 however imperfect \u2014 are reliable in the context of the existing state of knowledge, and are thus a definite step toward a better understanding of our world and a solid foundation for further research. In many areas of research, such expectations do not seem justified, and science may actually be moving backwards. Richard Horton, editor-in-chief of <i>The Lancet<\/i>, <a href=\"http:\/\/dx.doi.org\/10.1016\/S0140-6736(15)60696-1\">puts it like this<\/a>:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>The case against science is straightforward: much of the scientific literature, perhaps half, may simply be untrue. Afflicted by studies with small sample sizes, tiny effects, invalid exploratory analyses, and flagrant conflicts of interest, together with an obsession for pursuing fashionable trends of dubious importance, science has taken a turn towards darkness.<\/p><\/blockquote>\n\n\n\n<p class=\"PostBlockquotetext\">C. Glenn Begley and John Ioannidis \u2014 researchers who have been courageous and visionary in exposing systemic weakness in biomedical science \u2014 concluded <a href=\"http:\/\/dx.doi.org\/10.1161\/CIRCRESAHA.114.303819\">in a January 2015 article<\/a> that \u201cit is impossible to endorse an approach that suggests that we proceed with an ongoing research investment that is producing results the majority of which cannot be substantiated and will not stand the test of time.\u201d Similarly, an <a href=\"http:\/\/dx.doi.org\/10.1371\/journal.pbio.1002165\">economic analysis<\/a> published in June 2015 estimates that $28 billion per year is wasted on biomedical research that is unreproducible. Science isn\u2019t self-correcting; it\u2019s self-destructing.<\/p>\n\n\n\n<p class=\"ArticleText\">Part of the problem surely has to do with the pathologies of the science system itself. Academic science, especially, has become an onanistic enterprise worthy of Swift or Kafka. As a university scientist you are expected to produce a continual stream of startling and newsworthy findings. Here\u2019s how the great biologist <a href=\"https:\/\/www.amazon.com\/Consilience-Knowledge-Edward-Osborne-Wilson\/dp\/067976867X\/ref_=as_sl_pc_ss_til&amp;tag=thenewatl-20\">E.&nbsp;O. Wilson describes<\/a> the life of an academic researcher:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>You will need forty hours a week to perform teaching and administrative duties, another twenty hours on top of that to conduct respectable research, and still another twenty hours to accomplish really important research\u2026. Make an important discovery, and you are a successful scientist in the true, elitist sense in a profession where elitism is practiced without shame\u2026. Fail to discover, and you are little or nothing.<\/p><\/blockquote>\n\n\n\n<p class=\"PostBlockquotetext\">The professional incentives for academic scientists to assert their elite status are perverse and crazy, and promotion and tenure decisions focus above all on how many research dollars you bring in, how many articles you get published, and how often those articles are cited in other articles.<\/p>\n\n\n\n<p class=\"ArticleText\">To bring in research grants, you need to show that your previous grants yielded \u201c<a href=\"https:\/\/www.nsf.gov\/about\/transformative_research\/\">transformative<\/a>\u201d results and that your future work will do the same. To get papers published, you need to cite related publications that provide support for your hypotheses and findings. Meanwhile, the peers who review funding proposals and journal articles are playing in the same system, competing for the same funds, motivated by the same incentives. To get the research done you need graduate students and postdoctoral fellows to do most of the grunt work of running experiments and collecting data, which is how they get trained and acculturated to become the next generation of academic scientists behaving the same way. Universities \u2014 competing desperately for top faculty, the best graduate students, and government research funds \u2014 hype for the news media the results coming out of their laboratories, encouraging a culture in which every scientist claims to be doing path-breaking work that will solve some urgent social problem. (Scientists themselves are complicit in the hype machine: according to <a href=\"http:\/\/dx.doi.org\/10.1136\/bmj.h6467\">one study<\/a>, the frequency of positive words like \u201cinnovative,\u201d \u201cnovel,\u201d \u201crobust,\u201d and \u201cunprecedented\u201d in biomedical research publications in 2014 was nearly nine times as high as it was forty years earlier.) The scientific publishing industry exists not to disseminate valuable information but to allow the ever-increasing number of researchers to publish more papers \u2014 now on the order of a couple million peer-reviewed articles per year \u2014 so that they can advance professionally. As of 2010, about 24,000 peer-reviewed scientific journals were being published worldwide to accommodate this demand.<\/p>\n\n\n\n<p class=\"ArticleText\">These figures would not have shocked the historian of science and physicist Derek de Solla Price, who more than half a century ago observed that \u201cscience is so large that many of us begin to worry about the sheer mass of the monster we have created.\u201d In his book <i>Little Science, Big Science<\/i> (1963), Price noted presciently that the number of scientists was growing so fast that it could only lead to a \u201cscientific doomsday\u201d of instability and stress, and that exponential growth of the scientific enterprise would bring with it declining scientific originality and quality, as the number of truly great scientists was progressively drowned out by the much more rapidly increasing number of merely competent ones.<\/p>\n\n\n\n<p class=\"ArticleText\">One cumulative result of these converging stresses (a result that Price did not anticipate) is a well-recognized pervasive bias that infects every corner of the basic research enterprise \u2014 a bias toward the new result. Bias is an inescapable attribute of human intellectual endeavor, and it creeps into science in many different ways, from bad statistical practices to poor experimental or model design to mere wishful thinking. If biases are random then they should more or less balance each other out through multiple studies. But as <a href=\"http:\/\/dx.doi.org\/10.3310\/hta14080\">numerous<\/a> <a href=\"http:\/\/dx.doi.org\/10.1126\/science.1255484\">close<\/a> <a href=\"http:\/\/dx.doi.org\/10.1371\/journal.pone.0010068\">observers<\/a> of the scientific literature have shown, there are powerful sources of bias that push in one direction: come up with a positive result, show something new, different, eye-catching, transformational, something that announces you as part of the elite.<\/p>\n\n\n\n<p class=\"ArticleText\">Yet, to fixate on systemic positive bias in an out-of-control research system is to miss the deeper and much more important point. The reason that bias seems able to infect research so easily today is that so much of science is detached from the goals and agendas of the military-industrial innovation system, which long gave research its focus and discipline. Nothing is left to keep research honest save the internal norms of the professional, peer-review system itself. And how well are those norms holding up? A <a href=\"http:\/\/dx.doi.org\/10.1038\/533452a\">survey<\/a> of more than 1,500 scientists published by <i>Nature<\/i> in May 2016 shows that 80 percent or more believe that scientific practice is being undermined by such factors as \u201cselective reporting\u201d of data, publication pressure, poor statistical analysis, insufficient attention to replication, and inadequate peer review. In short, we are finding out what happens when objective inquiry is guided by Bush\u2019s beautiful lie. \u201cScientific doomsday\u201d indeed.<\/p>\n\n\n<div class=\"lazyblock-section-break-Z2lbQAj wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tLemmings Studying Mice\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">A<\/span> neuroscientist by training, Susan Fitzpatrick worries a lot about science and what Price called the \u201csheer mass of the monster.\u201d \u201cThe scientific enterprise used to be small, and in any particular area of research everyone knew each other; it had this sort of artisanal quality,\u201d she says. \u201cBut gradually the system became more professionalized, it got more and more money, it made bigger and bigger promises. So the qualities that make scientific research reliable, honest, got undermined by the need to feed the beast, and the system got too big to succeed.\u201d She worries especially about what this change will mean for the quality and value of the science being done in her field.<\/p>\n\n\n\n<p class=\"ArticleText\">As president of the James S. McDonnell Foundation, which funds research on cognition and the brain, Fitzpatrick is concerned about where research dollars are flowing. Just as Visco observed what she called the \u201clemming effect\u201d \u2014 researchers running from one hot topic to the next \u2014 Fitzpatrick also sees science as driven by a circular, internal logic. \u201cWhat the researcher really wants is something reliable that yields to their methods,\u201d something that \u201ccan produce a reliable stream of data, because you need to have your next publication, your next grant proposal.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">For example, scientists commonly use mouse brains to study neurodegenerative diseases like Parkinson\u2019s or Alzheimer\u2019s, or to study behavioral problems such as addictiveness or attention deficit disorders. What\u2019s great about mice is that they yield to scientists\u2019 methods. They can be bred in virtually limitless quantity, with particular traits designed into them, such as a gene mutation that triggers Alzheimer\u2019s-like symptoms. This allows researchers to test specific hypotheses about, say, the genetics or neurochemistry of a mouse-brain disease.<\/p>\n\n\n\n<p class=\"ArticleText\">More than <a href=\"http:\/\/www.alzforum.org\/research-models\/search?species[]=319&amp;diseases[]=145&amp;genes=&amp;types=&amp;keywords-entry=&amp;keywords=#results\">one hundred different strains of mice<\/a> have been developed for the purpose of studying Alzheimer\u2019s, and numerous chemical compounds <a href=\"http:\/\/dx.doi.org\/10.1016\/j.neurobiolaging.2012.02.027\">have been shown<\/a> to slow the course of Alzheimer\u2019s-like symptoms in mice. Yet despite the proliferation of mouse and other animal models, only one out of 244 compounds that made it to the trial stage in the decade between 2002 and 2012 was approved by the FDA as a treatment for humans \u2014 a <a href=\"http:\/\/www.dx.doi.org\/10.1186\/alzrt269\">99.6 percent failure rate<\/a>, and even the one drug approved for use in humans during that period <a href=\"http:\/\/dx.doi.org\/10.1136\/bmjopen-2015-010767\">doesn\u2019t work very well<\/a>. And why should it be otherwise? The last common ancestor of humans and mice lived <a href=\"http:\/\/dx.doi.org\/10.3389\/neuro.05.005.2008\">80 million years ago<\/a>. \u201cYou\u2019re using animals that don\u2019t develop neurodegenerative disease on their own,\u201d explains Fitzpatrick. \u201cEven aged mice don\u2019t develop Alzheimer\u2019s disease.\u201d So researchers force some characteristic to develop \u2014 such as beta-amyloid plaques on the mouse\u2019s brain, or age-related cognitive decline \u2014 but that\u2019s not the same as the human disease in question, \u201cbecause the process whereby you create that model is not the pathogenesis of the disease. Your treatment is focused on how you created the model, not how the disease occurs naturally.\u201d There is little reason to believe that what\u2019s being learned from these animal models will put us on the right path to understanding \u2014 let alone curing \u2014 human brain disorders.<\/p>\n\n\n\n<p class=\"ArticleText\">Not that such concerns are likely to put a damper on the research. A search for article titles or abstracts containing the words \u201cbrain\u201d and \u201cmouse\u201d (or \u201cmice\u201d or \u201cmurine\u201d) in the NIH\u2019s <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/advanced\">PubMed database<\/a> yields over 50,000 results for the decade between 2005 and 2015 alone. If you add the word \u201crat\u201d to the mix, the number climbs to about 80,000. It\u2019s a classic case of looking for your keys under the streetlight because that\u2019s where the light is: the science is done just because it can be. The results get published and they get cited and that creates, Fitzpatrick says, \u201cthe sense that we\u2019re gaining knowledge when we\u2019re not gaining knowledge.\u201d<\/p>\n\n\n\n<figure class=\"wp-block-image alignfull size-medium\"><img decoding=\"async\" loading=\"lazy\" width=\"1280\" height=\"1984\" src=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MouseBrainCOLOR-1280x1984.jpg\" alt=\"\" class=\"wp-image-14751\" srcset=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MouseBrainCOLOR-1280x1984.jpg 1280w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MouseBrainCOLOR-640x992.jpg 640w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MouseBrainCOLOR-991x1536.jpg 991w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MouseBrainCOLOR-1321x2048.jpg 1321w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MouseBrainCOLOR-600x930.jpg 600w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MouseBrainCOLOR.jpg 1500w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><figcaption><a rel=\"noreferrer noopener\" href=\"http:\/\/morganrayschweitzer.com\/\" target=\"_blank\"><cite>Morgan Ray Schweitzer<\/cite><\/a><\/figcaption><\/figure>\n\n\n\n<p class=\"ArticleText\">But it\u2019s worse than that. Scientists cite one another\u2019s papers because any given research finding needs to be justified and interpreted in terms of other research being done in related areas \u2014 one of those \u201cunderlying protective mechanisms of science.\u201d But what if much of the science getting cited is, itself, of poor quality? Consider, for example, <a href=\"http:\/\/dx.doi.org\/10.1126\/science.1217697\">a 2012 report<\/a> in <i>Science<\/i> showing that an Alzheimer\u2019s drug called bexarotene would reduce beta-amyloid plaque in mouse brains. Efforts to reproduce that finding have since failed, as <i>Science<\/i> <a href=\"http:\/\/dx.doi.org\/10.1126\/science.aae0310\">reported<\/a> in February 2016. But in the meantime, the paper has been cited in <a href=\"https:\/\/scholar.google.com\/scholar?hl=en&amp;as_sdt=20005&amp;sciodt=0,9&amp;cites=12610089640139262504&amp;scipsc=&amp;as_ylo=2012&amp;as_yhi=2015\">about 500 other papers<\/a>, many of which may have been cited multiple times in turn. In this way, poor-quality research metastasizes through the published scientific literature, and distinguishing knowledge that is reliable from knowledge that is unreliable or false or simply meaningless becomes impossible.<\/p>\n\n\n\n<p class=\"ArticleText\">A scientific model allows you to study a simplified version, or isolated characteristics, of a complex phenomenon. This simplification is sometimes justified, for instance, if the cause-and-effect relations being studied in the model (say, the response of an airfoil to turbulence in a wind tunnel) operate in the same way in the more complex context (an airplane flying through a storm). In such cases you can have some confidence that what you\u2019ve learned from the model can be applied to the actual problem at hand. Fitzpatrick thinks that such reasoning is not justified when using mouse brains to model human neurodegenerative disease.<\/p>\n\n\n\n<p class=\"ArticleText\">But her concerns about this way of approaching brain science have more devastating implications when the models are extended still further to explore the neurological aspects of human behavioral dysfunction:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>Because these questions are incredibly complex and we\u2019re trying to reduce it to some biological models, you have to create proxies. A neuroscientist can\u2019t directly study what makes somebody commit a crime, so instead they say, \u201cOh I know what it is, these people have a lack of inhibitory control.\u201d So now that\u2019s something I can put my arm around, so I need a task that I can reliably deliver in the laboratory as a marker for inhibitory control. \u201cOh, and we have one, there\u2019s this reaction-time task \u2026\u201d Now we\u2019re studying something, calling it something else, creating a causal hypothesis about people\u2019s behavior that\u2019s made up of tenuous links.<\/p><\/blockquote>\n\n\n\n<p class=\"PostBlockquotetext\">The problem, as Fitzpatrick explains it, is that in this space between the proxy \u2014 say, measuring inhibitory control in a mouse, or for that matter a person \u2014 and a complex behavior, such as drug addiction, lies a theory about what causes crime and addiction and anti-social behavior. The theory \u201chas ideological underpinnings. It shapes the kind of questions that get asked, the way research gets structured, the findings that get profiled, the person that gets asked to give the big speech.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Fitzpatrick is observing what happens when the interplay between science and technology is replaced by the \u201cfree play of free intellects.\u201d Scientists can never escape the influence of human bias. But human bias doesn\u2019t have much room to get a foothold when research is tightly linked to the performance of a particular technology \u2014 through, say, the desire for lighter, stronger automobile engines, or for faster, more efficient web search engines.<\/p>\n\n\n\n<p class=\"ArticleText\">Technology keeps science honest. But for subjects that are incredibly complex, such as Alzheimer\u2019s disease and criminal behavior, the connection between scientific knowledge and technology is tenuous and mediated by many assumptions \u2014 assumptions about how science works (mouse brains are good models for human brains); about how society works (criminal behavior is caused by brain chemistry); or about how technology works (drugs that modify brain chemistry are a good way to change criminal behavior). The assumptions become invisible parts of the way scientists design experiments, interpret data, and apply their findings. The result is ever more elaborate theories \u2014 theories that remain self-referential, and unequal to the task of finding solutions to human problems.<\/p>\n\n\n\n<p class=\"ArticleText\">All this may go some way toward explaining why the rate of failure of pharmaceutical interventions for Alzheimer\u2019s is so high. When mouse models are used to explore theories of human brain health and behavior, there is no reliable way to assess the validity of the science or the assumptions underlying it. This is not to say that scientists should just start conducting on humans the experiments they now perform on mice. But as Fitzpatrick emphasizes, the huge amount of mouse-brain research now being done is a reflection of the internal dysfunction of the research system, not of the potential for the \u201cfree play of free intellects\u201d to help alleviate the human suffering caused by neurological disease and dysfunction.<\/p>\n\n\n<div class=\"lazyblock-section-break-Z5vPoy wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tBut Is It Science?\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">P<\/span>roblems of values, assumptions, and ideology are not limited to neuroscience but are pervasive across the scientific enterprise. Just as Derek Price recognized the threat to science from its unsustainable growth decades before the symptoms became painfully apparent, so was the threat of ideology in science flagged long ago by the physicist Alvin Weinberg. A bona fide member of the military-industrial complex, Weinberg ran the Oak Ridge National Laboratory \u2014 originally part of the Manhattan Project \u2014 and was a tireless advocate for nuclear energy. Involved as he was in the early political debates over nuclear power, he was concerned about the limits of what science could tell us about complex social and political issues.<\/p>\n\n\n\n<p class=\"ArticleText\">In his 1972 article \u201c<a href=\"http:\/\/dx.doi.org\/10.1007\/BF01682418\">Science and Trans-Science<\/a>,\u201d Weinberg observed that society would increasingly be calling upon science to understand and address the complex problems of modernity \u2014 many of which, of course, could be traced back to science and technology. But he accompanied this recognition with a much deeper and more powerful insight: that such problems \u201chang on the answers to questions that can be asked of science and yet <i>which cannot be answered by science<\/i>.\u201d He called research into such questions \u201ctrans-science.\u201d If traditional sciences aim for precise and reliable knowledge about natural phenomena, trans-science pursues realities that are contingent or in flux. The objects and phenomena studied by trans-science \u2014 populations, economies, engineered systems \u2014 depend on many different things, including the particular conditions under which they are studied at a given time and place, and the choices that researchers make about how to define and study them.<b> <\/b>This means that the objects and phenomena studied by trans-science are never absolute but instead are variable, imprecise, uncertain \u2014 and thus always potentially subject to interpretation and debate.<\/p>\n\n\n\n<p class=\"ArticleText\">By contrast, Weinberg argues, natural sciences such as physics and chemistry study objects that can be characterized by a small number of measurable variables. For example, in classical physics, once the position, velocity, and forces acting on a physical object are known, the movement of that object \u2014 be it a pebble or a planet \u2014 may be predicted. (This is not the case in quantum physics, in which the position and velocity of individual particles can no longer be measured simultaneously with precision. But, Weinberg points out, \u201ceven in quantum physics, we can make precise predictions\u201d about statistical distributions of molecules or atoms or particles.) Moreover, the objects of study \u2014 whether the mass of an electron, the structure of a molecule, or the energy released by a chemical reaction \u2014 can be precisely defined and unambiguously characterized in ways that all scientists can generally agree upon. As Weinberg puts it: \u201cEvery hydrogen atom is the same as every other hydrogen atom.\u201d<b><\/b><\/p>\n\n\n\n<p class=\"ArticleText\">This combination of predictable behavior and invariant fundamental attributes is what makes the physical sciences so valuable in contributing to technological advance \u2014 the electron, the photon, the chemical reaction, the crystalline structure, when confined to the controlled environment of the laboratory or the engineered design of a technology, behaves as it is supposed to behave pretty much all the time.<\/p>\n\n\n\n<p class=\"ArticleText\">But many other branches of science study things that cannot be unambiguously characterized and that may not behave predictably even under controlled conditions \u2014 things like a cell or a brain, or a particular site in the brain, or a tumor, or a psychological condition. Or a species of bird. Or a toxic waste dump. Or a classroom. Or \u201cthe economy.\u201d Or the earth\u2019s climate. Such things may differ from one day to the next, from one place or one person to another. Their behavior cannot be described and predicted by the sorts of general laws that physicists and chemists call upon, since their characteristics are not invariable but rather depend on the context in which they are studied and the way they are defined. Of course scientists work hard to come up with useful ways to characterize the things they study, like using the notion of a species to classify biologically distinct entities, or GDP to define the scale of a nation\u2019s economy, or IQ to measure a person\u2019s intelligence, or biodiversity to assess the health of an ecosystem, or global average atmospheric temperature to assess climate change. Or they use statistics to characterize the behavior of a heterogeneous class of things, for example the rate of accidents of drivers of a certain age, or the incidence of a certain kind of cancer in people with a certain occupation, or the likelihood of a certain type of tumor to metastasize in a mouse or a person. But these ways of naming and describing objects and phenomena always come with a cost \u2014 the cost of being at best only an approximation of the complex reality. Thus scientists can breed a strain of mouse that tends to display loss of cognitive function with aging, and the similarities between different mice of that strain may approximate the kind of homogeneity possessed by the objects studied by physics and chemistry. This makes the mouse a useful subject for research. But we must bear the cost of that usefulness: the connection between the phenomena studied in that mouse strain and the more complex phenomena of human diseases, such as Alzheimer\u2019s, is tenuous \u2014 or even, as Susan Fitzpatrick worries, nonexistent.<\/p>\n\n\n\n<figure class=\"wp-block-image size-medium\"><img decoding=\"async\" loading=\"lazy\" width=\"1280\" height=\"1984\" src=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MicroscopeCOLOR-1280x1984.jpg\" alt=\"\" class=\"wp-image-14752\" srcset=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MicroscopeCOLOR-1280x1984.jpg 1280w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MicroscopeCOLOR-640x992.jpg 640w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MicroscopeCOLOR-991x1536.jpg 991w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MicroscopeCOLOR-1321x2048.jpg 1321w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MicroscopeCOLOR-600x930.jpg 600w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-MicroscopeCOLOR.jpg 1500w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/><figcaption><a rel=\"noreferrer noopener\" href=\"http:\/\/morganrayschweitzer.com\/\" target=\"_blank\"><cite>Morgan Ray Schweitzer<\/cite><\/a><\/figcaption><\/figure>\n\n\n\n<p class=\"ArticleText\">For Weinberg, who wanted to advance the case for civilian nuclear power, calculating the probability of a catastrophic nuclear reactor accident was a prime example of a trans-scientific problem. \u201cBecause the probability is so small, there is no practical possibility of determining this failure rate directly \u2014 i.e., by building, let us say, 1,000 reactors, operating them for 10,000 years and tabulating their operating histories.\u201d Instead of science, we are left with a m\u00e9lange of science, engineering, values, assumptions, and ideology. Thus, as Weinberg explains, trans-scientific debate \u201cinevitably weaves back and forth across the boundary between what is and what is not known and knowable.\u201d More than forty years \u2014 and three major reactor accidents \u2014 later, scientists and advocates, fully armed with data and research results, continue to debate the risks and promise of nuclear power.<\/p>\n\n\n\n<p class=\"ArticleText\">To ensure that science does not become completely infected with bias and personal opinion, Weinberg recognized that it would be essential for scientists to \u201cestablish what the limits of scientific fact really are, where science ends and trans-science begins.\u201d But doing so would require \u201cthe kind of selfless honesty which a scientist or engineer with a position or status to maintain finds hard to exercise.\u201d Moreover, this is \u201cnot at all easy since experts will often disagree as to the extent and reliability of their expertise.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Weinberg\u2019s pleas for \u201cselfless honesty\u201d in drawing the lines of expertise have gone largely unheeded, as scientists have, over the past forty years, generally sought not to distinguish trans-science from science but to try \u2014 through what amounts to a modern sort of alchemy \u2014 to transmute trans-science into science. In fact, the great thing about trans-science is that you can keep on doing research; you can, as Fitzpatrick says, create \u201cthe sense that we\u2019re gaining knowledge when we\u2019re not gaining knowledge,\u201d without getting any closer to a final or useful answer.<\/p>\n\n\n\n<p class=\"ArticleText\">In the absence of a technological application that can select for useful truths that work in the real world of light switches, vaccines, and aircraft, there is often no \u201cright\u201d way to discriminate among or organize the mass of truths scientists create. This is why, to take another endlessly contested example, after decades of intensive research about the effects of salt reduction on health, there is much <i>less<\/i> clarity today than in 1972, when a <a href=\"http:\/\/ajcn.nutrition.org\/content\/25\/2\/231.extract\">paper<\/a> reported: \u201cThe evidence that salt induces permanent and fatal hypertension is direct, quantitative, and unequivocal in the rat.\u201d Four decades later, the head of the Centers for Disease Control and Prevention was <a href=\"http:\/\/dx.doi.org\/10.7326\/0003-4819-152-8-201004200-00214\">affirming<\/a> that one hundred thousand deaths per year in the United States can be attributed to too much dietary sodium, even as <a href=\"http:\/\/dx.doi.org\/10.1002\/14651858.CD004022.pub3\">a major meta-analysis<\/a> of 167 randomized controlled trials and 13 population studies since 1950 found no clear connection between salt reduction and health outcomes. Scientists and interest groups line up on both sides of the salt debate, avidly impugning the motives and research of those they disagree with.<\/p>\n\n\n\n<p class=\"ArticleText\">The profusion of partial truths, each defended by its own set of experts, is what comes to pass when science tries to answer trans-scientific questions like: Are genetically engineered crops necessary for feeding a burgeoning global population? Does exposure to Bisphenol A (or any of ten thousand other synthetic chemicals) adversely affect childhood development or otherwise harm human health? Do open markets benefit all trading partners? What will be the future economic costs of a warming climate to a particular nation or region? Does standardized testing improve educational outcomes? Why is obesity rising in America, and what can be done about it?<b><\/b><\/p>\n\n\n\n<p class=\"ArticleText\">If both scientific research and political debates over such questions seem to drag on endlessly, surely one reason is that we have the wrong expectations of science. Our common belief is that scientific truth is a unitary thing \u2014 there is one fact of the matter, that\u2019s why the light always goes on when I flip the switch. But trans-scientific questions often reveal multiple truths, depending in part on what aspects of an issue scientists decide to do research on and how they go about doing that research. There is no point in asking who is right in such cases; the best we can hope for is to understand why experts are disagreeing, which often hinges on highly technical choices about how to carry out research and analyze data, not to mention the hidden biases that help determine those choices. Consider the question \u201cAre genetically modified crops more productive than conventional crops?\u201d Some researchers prefer to answer this question by looking at field trials that allow variables like weather and soil type to be carefully controlled. Others prefer surveys of actual farms, because they reflect real-world variability. These two approaches often yield <a href=\"http:\/\/dx.doi.org\/10.1016\/j.shpsc.2015.02.002\">contradictory results<\/a>, and there is no way of adjudicating based on the data which of the two provides a better guide to the future.<\/p>\n\n\n\n<p class=\"ArticleText\">Sometimes the problem is not that it is hard to come up with facts, but that it is all too easy. This is why science almost never provides a solution to politically controversial issues. Usually it does the opposite, providing peer-reviewed and thus culturally validated truths that can be selected and assembled in whatever ways are necessary to support the position and policy solution of your choice. If this observation seems implausible or overstated, consider that after forty years of research on the risks and benefits of mammograms, their effectiveness is more contested than ever; similarly, after more than <a href=\"http:\/\/www.gao.gov\/assets\/320\/317627.pdf\">twenty-five years and $15 billion<\/a> of research to assess the safety of the Yucca Mountain nuclear waste repository site in Nevada, nothing has resulted beyond political gridlock. In neither case does the science add up to a unitary truth. What we have, instead, is trans-science that \u201cweaves back and forth across the boundary between what is and what is not known and knowable.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">There is a very good reason why the problem of poor-quality science is showing up most conspicuously in biomedical research. Even as government funding for biomedical science in the United States <a href=\"https:\/\/www.whitehouse.gov\/sites\/default\/files\/microsites\/ostp\/Fy 2015 R&amp;D.pdf\">equals that of all other fields of research combined<\/a>, diseases remain uncured, pharmaceutical innovation has slowed to a crawl, and corporate investments are extremely risky because of the staggering failure rates of new drug trials. Biomedical science is failing the truth-test of technology. But the more difficult and dangerous threat to science comes from areas of research where the stakes are high but the validity of the science cannot be determined \u2014 precisely because it is not closely tied to technological progress toward a specific, shared goal (like curing breast cancer). In these cases, science delivers partial truths, any one of which can advance the career of a researcher and attract a constituency of believers among scientists, political interest groups, and members of the public alike.<\/p>\n\n\n\n<p class=\"ArticleText\">Even the vaunted scientific consensus around climate change \u2014 which largely rests on fundamental physics that has been well understood for more than a century \u2014 applies only to a narrow claim about the discernible human impact on global warming. The minute you get into questions about the rate and severity of future impacts, or the costs of and best pathways for addressing them, no semblance of consensus among experts remains. Mathematical models of future rates and consequences of climate change are <a href=\"https:\/\/www.amazon.com\/Simulating-Nature-Philosophical-Computer-Simulation-Uncertainties\/dp\/146650062X\/ref=as_li_ss_tl?s=books&amp;ie=UTF8&amp;qid=1466780048&amp;sr=1-1&amp;keywords=Simulating+Nature:+A+Philosophical+Study+of+Computer-Simulation+Uncertainties+and+Their+Role+in+Climate+Science+and+Policy+Advice&amp;linkCode=ll1&amp;tag=thenewatl-20\">highly sensitive to assumptions<\/a> about things that are totally unpredictable (such as trends in economic growth or technological innovation), and so the models spew out endless streams of trans-scientific facts that allow for claims and counterclaims, all apparently sanctioned by science, about how urgent the problem is and what needs to be done. If we were instead to exercise the \u201cselfless honesty\u201d advocated by Weinberg and own up to the assumptions that led us to the results of the climate (or mouse) models, then we would have to abandon any claim to an absolute, scientific truth that gives those results their legitimacy in society.<\/p>\n\n\n<div class=\"lazyblock-section-break-1nedem wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tDatageddon\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">T<\/span>hese difficulties are about to get much worse. Many fields of science are now staking their futures on what is sometimes called \u201cbig data\u201d \u2014 the creation of enormous new data sets enabled by new technological tools for collecting, storing, and analyzing virtually infinite amounts of information. So, for example, we are told that President Obama\u2019s <a href=\"https:\/\/web.archive.org\/web\/20160616232604\/https:\/www.whitehouse.gov\/the-press-office\/2013\/04\/02\/fact-sheet-brain-initiative\">Brain Initiative<\/a> will \u201copen new doors to explore how the brain records, processes, uses, stores, and retrieves vast quantities of information, and shed light on the complex links between brain function and behavior.\u201d The Obama administration\u2019s <a href=\"https:\/\/web.archive.org\/web\/20160620101114\/https:\/www.whitehouse.gov\/precision-medicine\">Precision Medicine Initiative<\/a> will \u201ctailor treatment and prevention strategies to people\u2019s unique characteristics, including their genome sequence, microbiome composition, health history, lifestyle, and diet.\u201d The international <a href=\"http:\/\/www.futureearth.org\/themes\/dynamic-planet\">Future Earth project<\/a> will seek \u201cto observe, monitor, explain and model the state of the planet and its societies,\u201d so that decision-makers can \u201cmove towards prediction and informed management of the Earth system.\u201d The <a href=\"https:\/\/www.nsf.gov\/funding\/pgm_summ.jsp?pims_id=13440\">National Ecological Observatory Network<\/a> will seek the same for ecosystems by deploying \u201cmeasurement infrastructure and cyberinfrastructure that deliver standardized, calibrated data to the scientific community through a single, openly accessible data portal.\u201d The <a href=\"http:\/\/ceoas.oregonstate.edu\/ooi\/\">Ocean Observatories Initiative<\/a> will \u201cmeasure the physical, chemical, geological, and biological variables in the ocean and seafloor &#8230; for improved detection and forecasting of environmental changes and their effects on biodiversity, coastal ecosystems, and climate.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">The imperative of technological advance focuses scientific inquiry, and provides a test for the validity of new scientific knowledge. Big data does the opposite, casting science into a sea of data with few constraints on where it might drift. The difficulty with this way of doing science is that for any large body of data pertaining to a complex problem with many variables, the number of possible causal links between variables is inestimably larger than the number a scientist could actually think up and test. For example, researchers have identified more than <a href=\"http:\/\/www.visualcomplexity.com\/vc\/project.cfm?id=622\">a hundred variables<\/a> that may influence obesity, from genes to education to job stress to how fast you eat to whether you were breastfed. Exploring the relations between even some small number of combined variables would give you billions of possible hypotheses to test. The likelihood that you will happen upon one that reveals important causal relations is thus extremely small, while the opportunities for introducing bias or discovering meaningless correlations abound. So even if you get a positive result, it will likely be spurious. As John Ioannidis explains in his famous 2005 article \u201c<a href=\"http:\/\/journals.plos.org\/plosmedicine\/article?id=10.1371\/journal.pmed.0020124\">Why Most Published Research Findings Are False<\/a>,\u201d the problem of searching for a small number of possible true relationships in large data sets \u201ctotally reverses the way we view scientific results. Traditionally, investigators have viewed large and highly significant effects with excitement, as signs of important discoveries. Too large and too highly significant effects may actually be more likely to be signs of large bias in most fields of modern research.\u201d But no matter \u2014 once you have a positive finding, the web puts the world\u2019s scientific literature at your beck and call, and you can effortlessly trawl for peer-reviewed published papers to lend credibility to your discovery. And even if you do happen to confirm a real causal link, for it to be <i>useful<\/i> you would probably have to connect it to other such links, each of which is itself unlikely to be true. Perhaps obese people with less education, more job stress, and a specific genetic marker do eat more quickly than others, but the reason they are obese may be due to something else entirely, say, not having time to exercise because they live far from work.<\/p>\n\n\n\n<p class=\"ArticleText\">If mouse models are like looking for your keys under the street lamp, big data is like looking all over the world for your keys because you can \u2014 even if you don\u2019t know what they look like or where you might have dropped them or whether they actually fit your lock.<\/p>\n\n\n\n<p class=\"ArticleText\">So another reason why biomedical science is out in front of other fields in terms of revelations of irreproducibility and false results may be that it staked its future on big data earlier than other areas of science \u2014 especially through mapping of the human genome, which pretty much everyone agrees has been an incredibly powerful catalyst for scientific research while generating <a href=\"http:\/\/dx.doi.org\/10.1371\/journal.pbio.1002195\">unfathomably huge amounts of data<\/a> but, at best, yielding <a href=\"http:\/\/dx.doi.org\/10.1038\/464649a\">modest health care benefits<\/a>. As Michelle Gittelman, a professor of management at Rutgers University who studies pharmaceutical innovation, <a href=\"http:\/\/dx.doi.org\/10.1016\/j.respol.2016.01.007\">puts it<\/a> in a recent paper:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>The biotechnology revolution was bound to fail, given the limits of predictive science to solve problems in complex natural phenomena\u2026. [T]he experience of genetics in medical research has demonstrated that a moving frontier in scientific knowledge does not translate to a corresponding advance in technological innovation.<\/p><\/blockquote>\n\n\n\n<p class=\"PostBlockquotetext\">Indeed, she suggests that \u201cthe application of genetics and molecular science to medical discovery could hinder, rather than accelerate, progress.\u201d The situation with regard to cancer is summed up in a 2014 <a href=\"http:\/\/dx.doi.org\/10.1016\/j.cell.2014.03.004\">essay in the journal <i>Cell<\/i><\/a>&nbsp;by M.I.T.\u2019s Robert Weinberg, a leading cancer researcher: \u201cThe data that we now generate overwhelm our abilities of interpretation, and the attempts of the new discipline of \u2018systems biology\u2019 to address this shortfall have to date produced few insights into cancer biology beyond those revealed by simple, home-grown intuition.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Blinded by the lie, enthralled by the power of new technologies not to solve discrete problems but to gather, store, test, and analyze billions of terabytes of data about everything that goes on anywhere \u2014 from Earth\u2019s core to the human brain to the outer atmosphere \u2014 and religiously dedicated to the notion that more information, more peer-reviewed publications, and more funding is always a step in the right direction, whatever direction that may be, the scientific community and its supporters are now busily creating the infrastructure and the expectations that can make unreliability, knowledge chaos, and multiple conflicting truths the essence of science\u2019s legacy.<\/p>\n\n\n\n<p class=\"ArticleText\">Science is in a pincer grip, squeezed between revelations that entire areas of scientific inquiry are no good, and the willy-nilly production of unverifiable knowledge relevant to the unanswerable questions of trans-science. Even as the resulting chaos compromises technological progress \u2014 aimed at, say, preventing or curing breast cancer \u2014 the boundary between objective truth and subjective belief appears, gradually and terrifyingly, to be dissolving.<\/p>\n\n\n<div class=\"lazyblock-section-break-Z1E7CKf wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tManaging for Truth\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">F<\/span>or twenty years Jeff Marqusee had to come up with practical solutions to environmental problems for the Department of Defense. His approach was nothing short of heresy. \u201cYou want to actually <i>manage<\/i> research.\u201d With a Ph.D. from M.I.T., Marqusee too is a child of the lie. \u201cCulturally I was very much trained as a basic scientist. I did statistical physics. My thesis was about as esoteric and useless as you can be. It was fun.\u201d He genuflects, as we all must, but then moves on: \u201cYou don\u2019t need to manage the lone guy that\u2019s brilliant. That ain\u2019t the problem.\u201d Most scientists aren\u2019t Einstein or E.&nbsp;O. Wilson, and most research doesn\u2019t have the potential by itself to be particularly earth-shattering. If people expect scientific research \u2014 even basic, long-term research \u2014 to contribute to a larger goal, there must be some mechanism of accountability for driving it toward that goal. Like Visco and Fitzpatrick, Marqusee thinks that the absence of such accountability has led to \u201ca system which produces far too many publications\u201d and has \u201ctoo many mouths to feed.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">When Marqusee talks about the need to \u201cmanage research\u201d he doesn\u2019t mean telling scientists how they should do their work, or even what they should work on; he means making sure that the science that\u2019s being done makes sense in terms of the goal to which it is supposed to contribute. The types of questions Marqusee needed to have answered at DOD were essentially trans-scientific \u2014 the necessary truths and effective solutions were contextual, varying from one situation to the next. They were biased toward the local and specific, rather than career-enhancing discoveries. To figure out, for example, \u201chow to protect my soldiers\u201d from poisons like lead, cadmium, and chromium in the soil on military bases, he first had to understand questions like: How does the dry, poor-quality soil typical of many military bases affect soldiers\u2019 exposure to toxic chemicals? And how, in turn, do soldiers\u2019 diets affect their stomach chemistry and the toxicity of various chemicals once they enter the body?<\/p>\n\n\n\n<p class=\"ArticleText\">Marqusee\u2019s programs devised methods for cleaning up polluted groundwater that were more cost-effective than those developed by other government agencies or previously used by the private sector. His office funded research that allowed the Environmental Protection Agency to tighten standards for lead exposure on Army bases. He supported ecological research on how best to protect the endangered red-cockaded woodpecker, which nests in forests on military bases in the southeastern United States \u2014 and improved both the ecosystem and military training in the process. \u201cIt turns out, if you treat your landscape to maintain good habitat for red-cockaded woodpeckers, you also create a forest which is a helluva a lot prettier, more resilient \u2014 and better for dismounted training. But you just have to be careful during certain weeks, when there is certain nesting behavior happening, that you\u2019re not firing small arms next to them.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">The scientific knowledge necessary to solve these sorts of problems would never be spontaneously generated by \u201cthe free play of free intellects.\u201d Marqusee came to realize that if he funded scientists and left them alone to do their work, he\u2019d end up with a lot of useless knowledge and a lot of unsolved problems. It\u2019s not as though he didn\u2019t fund rigorous, fundamental research: \u201cSure we wanted to have high-quality publications, we wanted to advance the scientific field, but why? Because we had a problem we wanted to solve.\u201d The beautiful lie insists that scientists ought to be accountable only to themselves. Marqusee\u2019s advice to his staff was precisely the contrary: \u201cHave no constituency in the research community, have it only in the end-user community.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Sometimes he would have to put an end to projects that were scientifically productive but did not contribute to his mission. One such project \u2014 \u201ca basic research project, great proposal\u201d \u2014 promised to develop indicators that could show when activities on a military facility were having adverse effects on a protected animal species before it suffered severe population decline. But during a project review Marqusee came to understand that the researcher was simply identifying and measuring \u201call sorts of biomarkers \u2014 steroidal stress levels, dozens of them,\u201d and that in the end he would find lots of correlations, just as you can find a million reasons for why Americans are growing obese or why public school performance isn\u2019t improving or why lack of inhibitory control will make you a drug-addled criminal. Such findings would surely have stimulated debate and more research, leading to more publications and professional advancement \u2014 but they would not have helped a military base manager predict the specific causes of the decline of a particular species.<\/p>\n\n\n\n<p class=\"ArticleText\">\u201cSo we killed the project.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">And yet &#8230; \u201cThe scientist was looking at some very innovative biomarkers. And there might have been some unanticipated spin-off which might have been useful \u2014 which is always the justification for all basic research, right? NSF would have never killed the project.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Right. Not only would the National Science Foundation never have killed it, but it exemplifies the big data spirit that is fast becoming the new face of science.<\/p>\n\n\n\n<p class=\"ArticleText\">But if your constituency, to use Marqusee\u2019s term, is society, not scientists, then the choice of what data and knowledge you need has to be informed by the real-world context of the problem to be solved. The questions you ask are likely to be very different if your end goal is to solve a concrete problem, rather than only to advance understanding. That\u2019s why the symbiosis between science and technology is so powerful: the technology provides focus and discipline for the science. But Vannevar Bush\u2019s beautiful lie has led to institutional cultures organized and incentivized around pursuing more knowledge, not solving problems. Marqusee quips that the best way to reorient scientists would be to \u201cpay them to care about the problem.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Or maybe just send them to the Peace Corps before they go to graduate school. At least that\u2019s what A.&nbsp;J. Kumar did, after getting his undergraduate degree in physics at Stanford. Working in a small South African village for two years, Kumar began to see science as a way to leverage his impact on the world, and this made him skeptical of the culture of the lie. Like Marqusee, Kumar understands and appreciates the role of fundamental science, but he also recognizes how the logic of the lie justifies \u201cdigging down deeper and deeper on a single subject without stopping to ask why we\u2019re doing it in the first place.\u201d He thinks there\u2019s \u201croom for more intentionality in how we do science.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">In the applied physics Ph.D. program at Harvard, Kumar started with an interest in linking science to health care needs in poor countries. He quickly focused on a specific question: \u201cHow do we bring the information that we get from studying blood into low-resource settings?\u201d The question pushed him in two directions: into the social context, to see what needs could be met with better information on blood; and into the science, to see what theories and tools could provide that information. So he talked to doctors who had experience working in Africa, and he talked to scientists in his lab and elsewhere, and this eventually led to a convergence between the two: a technique to separate proteins using a simple type of centrifuge that had been around for fifty years. This technique could be used for separating blood cells, which could potentially help diagnose sickle-cell disease, a health problem that lacked a quick, cheap, portable, and reliable diagnostic procedure. Kumar wraps up the story with modest alacrity: \u201cSo we were able to get some collaborators, start researching, doing the first experiments, and getting initial positive results,\u201d showing that sickle-cell could reliably be diagnosed by density separation. \u201cThis allowed us to really charge forward and start the quest for funding, clinical validation, and trials, which took up the rest of my Ph.D.\u201d The test he came up with can be done on-site in fifteen minutes, and it costs less than a dollar. Kumar was a one-man medical-industrial complex, coordinating all aspects of the research process, including commercial development, and using technological performance as a ruthless arbiter of scientific progress. In short, he made his research accountable to the end-user rather than to his scientific peers.<\/p>\n\n\n\n<figure class=\"wp-block-image alignwide size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"1000\" height=\"750\" src=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-AJKumar-w1000.jpg\" alt=\"\" class=\"wp-image-14758\" srcset=\"https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-AJKumar-w1000.jpg 1000w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-AJKumar-w1000-640x480.jpg 640w, https:\/\/www.thenewatlantis.com\/wp-content\/uploads\/2020\/08\/TNA49-Sarewitz-AJKumar-w1000-600x450.jpg 600w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><figcaption>\u201cMore intentionality in how we do science\u201d: A. J. Kumar in Zambia demonstrating the sickle-cell test<br><cite>Courtesy A. J. Kumar<\/cite><br><\/figcaption><\/figure>\n\n\n\n<p class=\"ArticleText\">This is really all that Fran Visco is asking for. Of course ending breast cancer is a vastly more complex scientific and organizational problem than finding a cheap and fast way to diagnose sickle-cell disease. But that would seem to be all the more reason why, after all the billions spent \u2014 and with forty thousand women a year still dying from the disease in the United States alone \u2014 someone needed to be accountable for driving the system toward a solution.<\/p>\n\n\n\n<p class=\"ArticleText\">So Visco and her colleagues decided that NBCC would shoulder that burden and start managing the science itself. \u201cWe just got tired after all of these years of seeing so much that really wasn\u2019t going to make a big difference. We have no interest in the continued funding of these things.\u201d Working first with the patient-advocacy community, NBCC identified a key question that it thought could focus research: How could you develop a preventative vaccine for breast cancer? In March 2010, NBCC brought together a diverse group of scientists to see if this was a question that could decisively be pursued given the current state of knowledge; the group\u2019s consensus view was that it could and it should.<\/p>\n\n\n\n<p class=\"ArticleText\">Lacking a big checkbook to fund research directly, NBCC instead began to bring scientists together to compare ideas and results, foster collaborations that weren\u2019t happening but should have been, and accelerate the process of developing and testing a vaccine. It set a deadline \u2014 <a href=\"http:\/\/www.breastcancerdeadline2020.org\/about-the-deadline\/artemis-project.html\">2020<\/a> \u2014 for ending breast cancer and staked its credibility on achieving at least major progress by that date. The deadline has been much criticized by the mainstream research community \u2014 \u201cDiscovery does not answer to deadlines\u201d was the predictable dismissal in a <a href=\"http:\/\/dx.doi.org\/10.1038\/491637a\"><i>Nature<\/i> editorial<\/a>. Visco totally gets this; it\u2019s how scientists evade accountability. The deadline is NBCC\u2019s ballsy and high-risk alternative. Visco rejects the idea that after decades of research and billions in funding, ending breast cancer can still be a matter of just waiting for someone to make an unexpected discovery. \u201cWe decided that we just needed to take control because we have an agenda, our agenda is to end breast cancer and save lives and that\u2019s it.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">NBCC has attracted about thirty scientists, many of them from leading cancer research groups, to work on the Artemis vaccine project, now in its sixth year. \u201cThese are people who never would have collaborated and never would have been asking this question if it weren\u2019t for us,\u201d says Visco. They have selected the antigens that will be targeted by the vaccine, and are starting to plan for clinical trials, to think about how they can ensure affordability and access if the trials succeed, and even to explore the idea of starting up a nonprofit vaccine company. With the vaccine effort successfully underway, NBCC also started a second leg of the Artemis Project, this one focused on stopping breast cancer from metastasizing to other parts of the body, a problem that had, like vaccine research, mostly been neglected by the mainstream research community.<\/p>\n\n\n\n<p class=\"ArticleText\">The Artemis Project is different from science-as-usual in many ways. It is small, collaborative, and focused not on producing good science for its own sake, nor on making a profit, but on solving a problem. It takes its research agenda from patient advocates, not from scientists. Accountability to the end user \u2014 past, present, and future breast cancer patients \u2014 is built into the program. Frank Calzone, who for twenty years worked at the biotechnology company Amgen, ultimately as a scientific executive director, and who is a longtime technical advisor to NBCC, sees the Artemis vaccine effort as combining the focus and deadlines of industry with the openness and collaboration of academia. \u201cIt\u2019s an industry-academic hybrid, with advocates in charge, which is what\u2019s unique.\u201d Above all he credits the patient-advocates for understanding and driving the science in ways it wouldn\u2019t otherwise have gone. \u201cThey\u2019re about primary breast cancer prevention. Nobody\u2019s ever considered that feasible in the vaccine world or the pharmacology world.\u201d In 2010, when Artemis was just getting organized, \u201cthere were traditional immunologists who said we\u2019re crazy.\u201d Six years later, Calzone finds himself \u201cvery impressed that we learn things that I would have never foreseen about the tractability of this approach.\u201d He credits Visco: \u201cFran, by focusing on something impossible, has gotten people interested in revisiting dogma.\u201d<\/p>\n\n\n\n<p class=\"ArticleText\">Will the vaccine succeed? No one can know, but it\u2019s the wrong question. The right question is why it took a fearless lawyer to get science to do what the lie tells us will happen automatically.<\/p>\n\n\n<div class=\"lazyblock-section-break-1mtxI2 wp-block-lazyblock-section-break\"><div class=\"block-tna-section-break mt-12 pt-2 mb-6\">\r\n  <div class=\"mb-12 pb-2 flex justify-center\">\r\n    <svg class=\"fill-current\" height=\"1\" width=\"91\" viewBox=\"0 0 91 1\">\r\n      <path d=\"M91 .5L62.706 1H28.447L0 .5 28.447 0h34.259L91 .5z\"\/>\r\n    <\/svg>\r\n  <\/div>\r\n\t<h5 class=\"leading-none font-callunasans font-bold text-center text-almost-black text-lg\">\r\n\t\tReturning to Our World\t<\/h5>\r\n<\/div><\/div>\n\n\n<p class=\"has-drop-cap 2ndDropCap\"><span class=\"tallcap\">I<\/span>s science today just the latest candidate for inclusion in the growing list of failing institutions that seems to characterize our society? As with democratic politics, criminal justice, health care, and public education, science\u2019s organization and culture are captured by a daunting, self-interested inertia, and a set of values reflecting a world that no longer exists.<\/p>\n\n\n\n<p class=\"ArticleText\">Yet science does have advantages over other sclerotic institutions. Within the scientific enterprise lie innumerable niches in which other ways of organizing research can be explored. Yes, the system that each year generates <a href=\"http:\/\/www.nsf.gov\/statistics\/infbrief\/nsf12303\/\">twenty-five thousand<\/a> promising new Ph.D. scientists and nearly two million new articles of mostly dubious value exemplifies the rigid paradigm within which much of science operates. But Kumar notes a \u201chunger\u201d among the young scientists he knows to do more than just add to the piles of esoteric knowledge. Their challenge will be to find the niches in the system that allow them to contribute something more, allowing the system to evolve, gradually, in a better direction. Indeed, an especially hopeful attribute of science is that it can be leveraged even by individuals and small organizations to have big impacts, as Visco, Marqusee, and Kumar have shown.<\/p>\n\n\n\n<p class=\"ArticleText\">In the future, the most valuable science institutions will be closely linked to the people and places whose urgent problems need to be solved; they will cultivate strong lines of accountability to those for whom solutions are important; they will incentivize scientists to care about the problems more than the production of knowledge. They will link research agendas to the quest for improved solutions \u2014 often technological ones \u2014 rather than to understanding for its own sake. The science they produce will be of higher quality, because it will have to be. The current dominant paradigm will meanwhile continue to crumble under the weight of its own contradictions, but it will also continue to hog most of the resources and insist on its elevated social and political status. The renowned chemist George Whitesides (who, perhaps not coincidentally, was Kumar\u2019s Ph.D. advisor) <a href=\"http:\/\/www.economist.com\/node\/21537051\">argued<\/a> in <i>The<\/i> <i>Economist<\/i> in 2012 that, in the past century or so, purely curiosity-driven science has delivered only one or two fundamentally transformational breakthroughs (quantum mechanics and perhaps genomics), and that, given this performance record, keeping science separate from technology \u201cmay or may not be an affordable luxury.\u201d A different way to put it might be that the sort of undisciplined exploration that Vannevar Bush was peddling back in 1945 should be seen now in much the same light as space travel, support for the arts or for public monuments, and wilderness protection. However worthwhile and ennobling it may be for its own sake, it cannot be justified in terms of solving problems or guiding policy decisions \u2014 or even of leading toward verifiable truth.<\/p>\n\n\n\n<p class=\"ArticleText\">In this light, Susan Fitzpatrick faces a particularly difficult challenge. She wants the philanthropic foundation that she leads to maximize the potential for neuroscience to help reduce human suffering, but she doesn\u2019t think that this field has much to say yet about lessening the terrible burdens of most brain diseases. She thinks that much of neuroscience has been seduced by what she terms the \u201cdogma\u201d of reductionism. \u201cEveryone is convinced that if you can find the genetic molecular explanation for something now then you understand it and hence you can fix it, even though there is literally no evidence for this.\u201d She wants to insulate the scientists that the foundation funds from some of the cultural pressures to do research that quickly leads to publishable results, and provide them time \u201cto ask important questions, be careful about what they\u2019re doing, be skeptical of their own results.\u201d One project underway looks at extreme long-term survivors of malignant brain cancer to see how their tumors interact with the rest of the body and other environmental influences. Why do treatment technologies that are ineffective for most patients show positive results for a very few? It\u2019s a problem that links technological performance to scientific advance \u2014 the sweet spot for fundamental research.<\/p>\n\n\n\n<p class=\"ArticleText\">But Fitzpatrick also wonders if biomedical science undervalues other kinds of research that could offer solutions to pressing problems. \u201cThere\u2019s not a lot of research on how best to socially, emotionally, environmentally, support Alzheimer\u2019s patients, that might ameliorate their own anxiety, their own stress \u2014 maybe the disease, as horrible as it is, would be less horrible through a better care structure, but we do very little research on that.\u201d Perhaps for now, research to help people with these diseases ought to aim at more practical questions. \u201cI don\u2019t think you can tell people \u2018Well, we\u2019ve got another forty years of research that we\u2019re going to have to do\u2019 when we also don\u2019t know if there are better ways of supporting people.\u201d And maybe in the process of understanding how better to help patients, scientists will discover things about the course of the disease and its varieties that can lead to effective therapies. \u201cWhat\u2019s been lost is the continual back-and-forth between the science and the real disease\u201d that has, historically, been the source of major medical advances.<\/p>\n\n\n\n<p>Advancing according to its own logic, much of science has lost sight of the better world it is supposed to help create. Shielded from accountability to anything outside of itself, the \u201cfree play of free intellects\u201d begins to seem like little more than a cover for indifference and irresponsibility. The tragic irony here is that the stunted imagination of mainstream science is a consequence of the very autonomy that scientists insist is the key to their success. Only through direct engagement with the real world can science free itself to rediscover the path toward truth.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Daniel Sarewitz on why scientists must come out of the lab and into the real world<\/p>\n","protected":false},"author":1,"featured_media":14762,"template":"","article_type":[13],"noteworthy_people":[],"topics":[2264,5048,5044,5004,5014],"_links":{"self":[{"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/article\/10574"}],"collection":[{"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/article\/10574\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/media\/14762"}],"wp:attachment":[{"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/media?parent=10574"}],"wp:term":[{"taxonomy":"article_type","embeddable":true,"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/article_type?post=10574"},{"taxonomy":"noteworthy_people","embeddable":true,"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/noteworthy_people?post=10574"},{"taxonomy":"topics","embeddable":true,"href":"https:\/\/www.thenewatlantis.com\/wp-json\/wp\/v2\/topics?post=10574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}