Why Science is broken (and how to fix it)
1 September, 2011 | Morgan Giddings |
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Bell Labs was a remarkable enterprise which, according to Wikipedia, contributed to the development of cell phones, wlan (wifi), semiconductors, compression algorithms, and many more developments that changed the way people interact with technology.
Bell Labs worked well because they brought together innovative thinkers, and let them innovate. People there didn’t have to write grant proposals, teach students, serve on committees, or work on translational research that would supposedly yield immediate “marketability”.
WLAN/wifi technology for example was first developed in 1990, yet was not widely adopted in the market for another 15 years; a “translation” time of more than a decade.
Universities were also the source of many innovations, because at their best, they also let scientists go into the lab to innovate. here were teaching duties and the occasional grant proposal that had to be written, but it wasn’t the constant treadmill of publishing, writing grants, and translation into immediate relevancy.
In a frequent scenario, university researchers would come up with some brilliant new idea and play with it for years, eventually spinning it out into a company if it continued to be promising.
But now, it seems like the whole endeavor has lost sight of the fact that all innovation and science takes time.
The current mantra in university-based biomedical research is “translation.” While translation of science into the clinic is a laudable goal, the question is, are universities and university faculty really equipped for that task?
I argue that on the whole they are just about the most poorly equipped of any entity to do this. Here’s why:
- Bureaucracy. Every university I’ve encountered has piles upon piles of bureaucratic red tape, which gets worse as time goes on. This inhibits all the stuff that one needs to move rapidly in an area like translation. That includes being nimble about personnel management, budget management, and technology coordination.
- Mixed missions. Universities require their faculty to play an ever larger array of roles, disallowing focus on their core strengths as innovators. Faculty must be fundraisers, promoters, managers, teachers, paper pushers, committee participants, and on top of all of that, come up with innovations that can be immediately applied.
- Science by committee. The fate of grants are determined by committees. Committee-based logic is generally anathema to innovation. Innovations are always considered dangerous and risky until they become mainstream–then they are no longer innovations. The NIH and NSF try to allow more innovation into grants, but there are ever more “coordinated” projects being funded by these agencies, where on top of the individual research is layered various committees and reviews that decide which science is good and which isn’t.
When was the last time a Nobel Prize was awarded for science planned and executed by a committee? Committees are rarely innovative. They are reactive. They are a good way of implementing checks and balances, but to try to force them to lead the way in innovation is ludicrous.
The history of computer languages makes this clear: while there have been various attempts to define languages by committee, nearly all have failed. Nikalus Wirth, creator of the PASCAL language walked out on the design committee for its predecessor Algol because it had become far too complicated.
I see the same thing happening in the “big science” projects I’ve been involved with. Ever more complexity gets added by each committee discussion, slowing down innovation and burdening faculty with ever more committee work (on top of their many other roles).
This is not the way to make science work effectively. I suspect that if it continues in this direction, eventually the whole endeavor will just collapse from its own weight. I don’t see that as a good thing.
The whole system has gone berserk, and needs to get back to basics. The basics are simple: good people doing great innovative research, and then letting companies or institutes step in to do the translational part. Specifically:
- Funding must change from a short-period, project-by-project basis to one where we fund good scientists to go innovate, without having to justify to a committee exactly how their innovation may play out. It is extraordinarily rare that anyone can correctly predict how any particular innovation will impact the world, and having committees attempt to perform this function is ludicrous*. As I teach people: “nobody has a crystal ball, but they like you to pretend convincingly that you do.” The charade must stop if science is to truly progress beyond minor incremental advances.
- Faculty must be allowed to focus on their core strength, which is doing innovative science, as well as teaching others how to do it. All other functions should be done by others who are trained in those things. Universities need to realize that they are shooting themselves in the foot by forcing faculty to be administrators, fund raisers, promoters, managers, and paper pushers.
- We need to understand the focus on short-term translation for the fallacy that it is, and stop asking grant applicants to focus on this. Science is almost never translational in the short term. Only once ideas are of sufficient maturity that they are no longer innovative is it time to translate them into beneficial applications.
- Scientists need to get a whole lot better at communicating the value of science to the world, and in the process, communicating to people that good science takes time and money, but it is a worthwhile investment that has myriad payoffs.
- Science needs to start being fun again. Science should enrich and inspire people, especially younger generations. An example is space travel. For decades it inspired legions of young scientists, yet now it seems like an ever more remote pipe dream (unless you’re a multimillionare who can buy yourself a short ride into space). While focusing on fixing disease is laudable, isn’t it just as important to give younger generations something to look forward to, aside from just increasingly complex and expensive cures to diseases?
People ask me all the time why I gave up a tenured faculty job at a major research university, as if I were insane. Given what is going on in science, am I really all that insane? The system is broken, and needs fixing. I’ve figured out that it is very difficult to fix it from the inside, because then I’d be beholden to the very same organizations that require deep criticism (universities and funders). Perhaps I’ll have better luck on the outside.
And, a last note: if you still believe that science can be fun, then I hope you’ll stick with it. I know that there’s a lot of angst, and that things seem bleak. But at some point it will have to get better, and those that do stick with it will be the scientific leaders of the future. And if you want to maximize your chances of making it through, you can grab the free science career foundry report.
*How many sci-fi writers predicted the advent of the iPhone? Sci fi writers are often seen as “futurists,” yet even their crystal balls are quite weak.
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Thank you for this essay. I will be the third scientist leaving academia this year in our department. Here’s to Real Life Beyond Today’s Academic Science!
Elvira, I’m sorry to hear about so many departures from academia…. but it is not surprising. It is really too bad that more people are not standing up and taking notice. But I suspect that nobody at “higher levels” of government or media have any clue how bad it really is.
nice post.
I just met a former student of our lab. We talked a bit about job: she is now doing a job in a private company, a job that requires no specific qualification; and she work much less and earns more money than me… If we add, on top of what you mentioned, that my contract ends in march and that my boss was unemployed when I started my post doc, I would say that working in Science is only for those who thinks they cannot do anything else,; and I am afraid, I am one of those 😉
On your comment about SciFi and i-phone, I would say that what is described in hyperion is very close to what the i-phone is doing: 24h a day contact to a nearly unlimited source of information, and request to this database being made via what you see… I will still need to be directly attached and connected to our brain to be like in Dan Simmons “crystall ball”! But of course, the i-phone is not only doing that, it is a game console, too.
#3 is not possible until #4 is successfully completed (“world” being, most importantly, the US Congress). As it stands now both NIH and NFS are not supposed to fund projects without immediate benefits to the society, such as translational benefits, “broader impacts” etc.
This is an excellent analysis of the state of science in the U.S. Unfortunately, the people who make policy decisions at NIH and NSF are so entrenched in the system that they cannot bring about meaningful change. All the debates on improving the NIH grant system in 2007 led to the same viciously competitive procedure, except that the applicants now have fewer pages to describe the experiments they will most likely not perform in the next five years. They will be too busy generating preliminary data for the next “innovative” grant application. These games we are forced to play have to stop so we can focus on our science.
Are Francis Collins or Subra Suresh listening to any of this? I challenge them to an open debate on these pages.
Good points. However this is impossible as long as there are far more faculty applying for grants than money. This situation has been severely critiqued recently. It arises because faculty sizes are often based on local decisions and money, whereas funding of biomedical research is primarily national. There is no downside to departments hiring more and more faculty to increase the chances of at least someone getting a grant, and then throwing the ‘losers’ to the dogs. This is an extremely difficult situation to change, as I believe it is rooted in the historical origins of academic reseach in the monastic system, in which there was effectively no central control or planning (but also no central funding). Contrast that to contemporary professions with an historical basis in the guild system that emphasizes central control of total numbers of trainees and their payment. there are advantages and disadvantages to both systems, but academic biomedicine today is skewed way too far to one side.
On the one hand, government organizations and the general public expect academic university-based researchers to improve the translation of their research into economically useful outcomes. On the other hand, the current grant-funding system does not really facilitate innovative research. Low risk research proposals get what little funding is available, and from my own observations, grant panel peer review does not take kindly to applicants that may have not have purely academic aspirations. Moreover, government laboratories and universities have become increasingly concerned with even more onerous guidelines about conflict of interest and actively discourage their faculty from starting or working with commercial enterprises. Most biotech companies are actually founded by such entrepreneurs that have the knowledge, vision and resolve to bring their ideas to the market place. Industry provides most of the life sciences jobs available for university graduates.
Thanks for a nice post, Morgan. From a student’s perspective, I’d have to agree. I recently graduated from UNC Chapel Hill in the sciences, and I left with a lot of complaints about my education, that are probably a result of the points you made above. My science professors were researchers first and foremost, which often made them inaccessible to students because of their super busy schedules. When I approached a Chemistry professor in her office hours after class and asked about a difficult concept, she looked at me mockingly and asked “Well, did you read the book?” I felt a lot of times like I had to teach myself everything, because the professors didn’t have the time/energy to help me. I don’t blame them, because they really are juggling a lot. When I joined a lab my junior year, my contact with the PI was pretty limited, much to my disappointment. I had hoped to foster a better relationship, because I’d set my sights on grad school, but my PI had a lot of students she was managing, and a million other things on her plate at any given time. I always felt rushed during our conversations. From these experiences, I became discouraged from and less excited about science, and I’m working hard to shed these biases to get back to the passion I used to feel for it.