I don’t seem to have a handle on this blogging thing, yet. I have a long and rambling draft for a post about publishing, which has been languishing for months now. Meanwhile the NIGMS just released a Request-For-Information on “Team Science”. That seems as good an excuse as any to write something here. They even provided me with a nice outline, and an introduction:
The National Institute of General Medical Sciences (NIGMS) seeks input on team-based scientific research and the manner in which this activity could be supported by the Institute. This Request for Information (RFI) will assist NIGMS in considering needs and opportunities in team science at the multi-investigator, institutional, regional and national level. Comments are invited from any interested party.
Hey, I’m an interested party, so let’s do it. The RFI is broken into six areas, and I’ll structure my post likewise. But first, a general overview of where I’m coming from (since I haven’t posted anything else on this blog and you might not know).On the off chance that the NIGMS doesn’t read this blog, I’ll also email this to them.
The idea of team scienceThat is, big interdisciplinary groups working on large projects sounds great, but when it gets implemented there are some challenges. Most of those challenges boil down to how we publish science, how we evaluate scientists, and how we train students and evaluate their work. All of these issues deserves their own essays, but in short:
Because of those points, I don’t think team science is a good use of funding. The goals of such a grant are not aligned with the interests of the individual labs. Unless universities and funding agencies are going to seriously change how they evaluate scientists, big teams don’t really work in academia.
So, after laying down that thesis statement, I’ll go over the sections of the RFI.
Interest in team science
Comment on the appropriateness and usefulness of team-based research to address particular areas of biomedical science. This may include comments on the relative importance of team science in your field and your own experiences with team science.
Not just appropriate and useful, I think team-based research is essential! There are so many open questions in biology that involve the intersection of many fields. The big challenge is in integrating the collective knowledge of so many different specialties.
I don’t think that big grants given to specific groups is the best way to achieve that goal. In any funding system it’s hard to pick winners—with a smaller number of large grants, that problem is compounded. The big-grant approach heavily favors the large institutionsLike UCSF, for one. We have a lot of these grants that have faculty studying a wide range of related topics and can come together to apply for major grants.
The most important thing the NIGMS can do to support team science is to set up and administer common resources. Rather than try to fund large consortia, build scientific clearing-houses that facilitate teamwork. And revamp funding criteria to reward scientists that play supporting roles on many projects.
Management and advisory structures in team science
Comment on the types of management structures within a project that would enable an effective team science program. This may include the organizational structure, leadership models, and use of advisory boards or external review groups. Comments on challenges and solutions for issues such as the training needed for effective team science leadership, approaches for maintaining communication within and between teams, and strategies for maintaining team effectiveness are welcome.
Alluded to in the previous section: the best way to manage and advise teams of scientists is to let them form on an ad-hoc basis, without management. Fund individual PIs on the merits of their own workI think the MIRA is a great start, including their service to helping other labs. If the NIGMS provides support to make team-based science efficient and rewarding, PIs will figure out how to do it on their own.
This may include comments on recruiting team members, the importance of training students or mentoring junior PIs involved in team science, the value of diversity in team science, and the challenges of recognizing individual efforts on team-based research within a university or research institute setting.
As I said at the top, I don’t think trainees and junior PIs can thrive as cogs in a huge machine. But in a decentralized system they can be cogs in a smaller machine: their lab. If it is possible to reach out to collaborators easily, and they have incentives for providing assistance, it should be possible for small labs to engage in team science without being lost in the crowd.
Resources and infrastructure
Comment on the resources and infrastructure that are needed to support team science, including teams consisting of groups from multiple institutions. This may include comments on technical and administrative cores, both those currently available at your institution and those that would need to be established to support team science.
This is where NIGMS can make the biggest impact, but not necessarily at the institutional level. Institutions should be able to facilitate collaboration within their own walls. What the NIGMS can facilitate is collaboration between institutions, by helping groups share results and feedback. One way to do that is to build common resources for sharing results, methods, reagents, and data. The NCBI does this for lots of computational dataalthough it could be much improved and they’re an indispensable part of biomedical research because of it. Whenever the NIGMS identifies a problem worth of targeted grants, they should consider what common resources they can provide to the community, rather than assembling a dream team.
Collaboration is hard for much the same reason that team science in general is hard: it is difficult to align the interests of two research groups so that they work together effectively. I think the major obstacles is that the minimum unit of research that is useful to a scientist is the publication, and a publication is a large investment of time and effort. This means that the activation energy for collaborating is very high.I had more to put here, but the short version is: the farther you get from first/corresponding author, the less likely it’ll be worth the effort, and so it’s a lower priority. Thus there’s a limit to the size of collaborations
If the NIGMS really wants to encourage team science in a systematic way, it needs to develop a way to track, quantify, and reward collaboration at all levels. Providing a small part of ten projects must be as valuable as spearheading one. And this contribution can’t just be recorded in author lists, which are subjective and inaccurate. We need a better way to record who helped with what on which piece of research, so that we can evaluate and reward the scientists who make an impact in many different areas: the team players.
Assessment of team science
This may include factors that should be considered in the peer review of team science-based grant applications, the value of interim reviews during the funding period, the importance of outreach activities, and the appropriate quantitative and qualitative measures of the success and impact of team science.
This bit goes out the window if you take my advice and stop providing grants to giant groups of PIs. Reward individual PIs for their work, based on its scientific merit. And don’t do it based on specific project proposals, because they never work on what they say anyway.
Comments on past or current NIGMS team-based programs and funding mechanisms
Comments are welcome on the advantages or disadvantages of programs and grant mechanisms such as the National Centers for Systems Biology (P50), Centers for Injury and Peri-Operative Research (P50), Centers for HIV/AIDS-Related Structural Biology (P50), COBRE Centers (P20), Glue Grants (U54), the Protein Structure Initiative (U54), and Program Projects (P01).
UCSF has/had two P50 grants that I’m somehow associated with: one for a Systems Center and one for a HARC Center. My impression of those grants is that they certainly funded a bunch of projects, but they weren’t the proximal cause of any team science. PIs have areas of research and trainees need their own publications. Collaborations happen when they further those goals and not otherwise.
Many projects at UCSF involve multiple labs working together, but that tends to be determined (and should be determined) by the scientific questions, not by the funding source. If the P50 grants were replaced with stable funding for many labs, I don’t think the outcome would be less collaborative, and the scientific output would likely be higher.
I’m not sure! In the end, I’m suggesting that the NIGMS step back from these team science grants and focus on labs. I think the biggest things I propose are somewhat tangential to this RFI: fund labs rather than projects, reward small units of collaboration/supporting work, and good things happen.
But that’s why I used this RFI as inspiration for a blog post in the first place: the questions NIGMS is asking were about the topics I wanted to discuss anyway.