How Can We Introduce Team Science Within Disciplinary Thinking?

There is much discussion these days about the so-called “Team Science” which involves co-operation among multiple disciplines on Big Science topics. In some circles, this is also called a “convergent” approach wherein many disciplines come together to solve a major problem.  Whether we call it Team Science or Convergence, this involves working across disciplines which are sometimes known by other names (trans-disciplinary, multi-disciplinary or interdisciplinary). Team Science involve large projects that are global (e.g., climate science, biomedical sciences, health, the environment, energy, sustainability, etc.) which require multiple teams from different disciplines to co-operate.  However, most universities are ill-equipped to bring this to fruition since faculty are inherently comfortable working with those from one’s discipline. Let us investigate the potential reasons for this.

IMG_4392To begin with let us consider how Science as a discipline came into being during the Enlightenment period. During the early stages, when understanding nature was the only motive there were citizen scientists who did not call themselves the member of a specific discipline.  They were pure artisans who had to know everything and there were no boundaries to their investigations.  Some were brilliant artists who ventured to do investigations of natural phenomena, and they were not loath to asking others for help in deciphering ideas.  Thus came the flood of ideas from Galileo Galilee, Leonardo da Vinci, Isaac Newton and many others. We can call them generalists and not specialists.  They were truly trans-disciplinary in their approach.  Wealthy individuals who dabbled in amateur science, and royalty who believed in helping their subjects through knowledge transfer supported these efforts and in some cases they were self-funded (individually wealthy).  However, as knowledge became the purview of not one or a few but belonged to everyone, there came the need to understand principles based on inductive or deductive approaches. These were promoted due to the need to categorize vast knowledge generated and distributed via printed media and place them in the appropriate context. However, during the early development of the scientific enterprise, there was clear recognition that one could move smoothly from one set to another based on the appropriate need to explain any phenomena.  As the eighteenth century approached, science became more and more precise and also more compartmentalized.  Generalists were being replaced by specialists. For two centuries since then, knowledge has been segregated into categories with less and fewer interactions between them. Universities came of age during this time reflecting this tendency; they were built on silos known as colleges or departments. Problems that were of importance during these times were mostly not of global scope, although they were basic and general. Fundamental questions did not require teams working together, but one or two generalists working independently.  Wars and ravages did not help.  Only in the mid-20th century (after reestablishment of peace) did global problems begin to be addressed.

Global problems that are now of relevance include environmental and climate science, public health and medicine, agriculture and food security, fundamental physics, and economic issues, all of which involve Big Data and Big Science. Not to be overlooked, other creative activities in the arts and humanities also are moving towards large groups collaborating on solving problems of societal nature.  Most of the research that done within the major research universities in the United States occur within a disciplinary boundary.  For example, let us consider the top 10 universities that presently receive 20% of the total government research funds. All of these universities are still fundamentally built on the premise that each discipline, courses and curricula are specialized; one can call this the “silo” effect. Within each of these disciplines, we have teams that are incredibly productive, but they lack the incentive or motive to look beyond their realm. That aspect of the research university culture is increasingly challenged as many of the problems require interactions and contributions from each of these specialized groups separately or in concert. Too many of our present day faculty find it difficult since the reward of tenure and promotion is still mostly dependent on their contributions to their discipline.  In other words, the existing system does not allow teams to explore outside their area.  Several issues have to be addressed within existing research universities to facilitate these interactions. Not only does this involve creating centers and institutes that are by their very design multidisciplinary, but involves changes in reward, promotion and tenure practices that will clearly catalyze unhindered participation by young investigators.  Both in natural sciences and engineering (40% in 2010) and social sciences (50%) there is increasing evidence of references to other disciplines. The number of papers with large teams (100s to 1000s of authors) has begun to appear since the last decade.  Government and industry funding increasingly flow towards large multidisciplinary grants and contracts.  Traditional research universities (even those in the top half) have to retool their approach to facilitate their researchers to participate in this “Team Science” endeavor. Controversial issues include the following:

  • Change faculty hiring practices so that they are no longer based on disciplines but “focal areas” of need so they have no “home” departments,
  • Hire based on research and not teaching needs,
  • Review principles of authorship and attribution in multi-author articles,
  • Emphasize trans-disciplinary research activities for young faculty including changing promotion and tenure criteria,
  • Provide adequate support and mentoring to those with no particular “home” departments,
  • Discuss salary structures to provide incentives based on research,
  • Encourage building partnerships among the arts and humanities faculty for building creativity-focused programs that address societal issues and,
  • Relax the intellectual property and commercialization protocols at institutions.

I present the above list to encourage further discussions on how a modern research university can handle both traditional single discipline-based research as well as trans-disciplinary research. For public Land Grant universities this is important both for the sake of societal impact and institutional relevance.  If not, large multidisciplinary research funds are going to be increasingly flowingly only towards the top research universities that can easily accommodate the change in sources of funding and the rest of the universities will remain just “bit” players in research since “basic” research funds are becoming increasingly hard to win.

Entrepreneurs, Inventors and Knowledge Generators – Can They Co-exist in a Public Research University?

There is considerable on-going discussion these days of universities being engines of economic development in their communities. Private universities are by design easily tuned to this, but most public research universities have distinctly different missions. Many of the public ones are land-grant, sea-grant or space-grant universities and they have as their primary mission educating the citizenry and going after knowledge that benefit the entire mankind. These were easily maintained during the earlier times when research money was doled out only for the sake of research with no special desire to bring out products that benefit everyone. Even when there was a desire to make research pertinent to society, we followed a “linear” model such as that suggested by Vannevar Bush, where basic research led to applied research which further was scaled-up for large scale applications. This formed the underpinnings of both NSF and NIH models of university research funding. During those times the intellectual property reverted to funding agencies if the principal investigator did not seek patent protections. Of course, since Government was too lethargic in allowing public use of such IP, there was much consternation at the amount of innovations that were not commercialized. The Bayh-Dole Act changed all that when IP rights were transferred to the universities that received funding. This led to the proliferation of Tech Transfer offices at universities.

 Today we see a very different role for public universities that are also research universities. There is the expectation that even though the state support for higher education has declined to about 10-30% of total funds, the university is supposed to carry out research using non-state dollars and get them translated immediately to “products”. This is wholly unrealistic since much of the basic research funding does not immediately translate to any useful product. It may take 10 or more years, in some cases, to realize any benefit from basic research. Moreover for every $2 million spent on research just 1 patent is realizable. Entrepreneurs and inventors have to be on the same page and quite patient as basic inventions go through the “valley of death” before any potential large scale efforts become successful. For this to happen venture capitalists and others should be willing to put up the initial investment that may be risky. Many of the states do not have this engine of economic development in tune with their long term economic development objectives. This mis-match is detrimental to any entrepreneurial business development. Only few states such as Massachusetts, California, Texas, Florida, North Carolina, etc. have created such structures. Others are just imitators with so little capital that this remains a pipe-dream. Yet, most economic development departments tout this as their lofty aim. The return on investment that states expect on their meager higher education spending is totally

There is great truth in the statement that government (via public tax dollars) spending is the primary risk taker in research. Take any major development, e. g., the iPhone and you will see that every major component in it was developed from basic research supported by federal dollars. Indeed major corporations are major benefactors from the public tax-dollar funds that supported university research. This has been the norm since major corporations divested their internal basic research laboratories and in turn started to depend on academic laboratories for major breakthroughs. All that is happening nowadays is that entrepreneurs scan the patent lists to support promising ideas to develop into successful small businesses, which in turn get acquired by large corporations. Thus university research is ever more important in this ecosystem.

In spite of these obvious realities most Tech Transfer offices at universities do not make money; in fact, they lose money. Without sustained support for these offices, the universities are at a disadvantage in concluding successful IP negotiations. Yet, most universities shout from their rooftops that they have easy to work with Tech Transfer operations; only very few have such working offices. It is a shame that industry do not see it important to support universities’ efforts to rework the IP regulations emanating from the federal government. This will positively impact the budding university-industry partnerships. In times of limited funding prospects, such university-industry-government linkages are important to keep our country at the top of the innovation ecosystem. We are the envy of the world when it comes to innovations and we should strive to maintain that superiority as other developing nations play catchup.