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There are newer efforts from funding organizations and agencies incentivizing collaborative research. I refer to collaborative research as research that requires the engagement from more than one institution, community, and/or economic sector, for example: participatory research, reciprocal research, convergence science, research-practice partnerships, university-industry partnerships, cross-disciplinary research and more. Compared to more traditional research, the formation of collaborative research ideas, roles of collaborators, and budgets alone take longer to develop before they are ready to present to funders. And if funded, research outcomes are harder to control and predict and the level of communication required across collaborators is higher in terms of keeping the vision forward (e.g., goals, roles, timeline) and in terms of effective research administration (e.g., budgeting, ethical reviews, documentation, compliance).Then, to broaden perspectives and participation in research, newer efforts also encourage non-traditional researchers to engage or lead collaborative research. I refer to a non-traditional researcher as someone who earned a PhD but for whom research is not a part of their current role, and who is at an institution that does not have research enterprise infrastructure to support them in accessing research funding easily or at all (e.g., a grants office). In this paper, I discuss a case study of collaborative research I lead for eight years, involving K-12 teachers, community college faculty, university researchers, and non-academic organizations in terms of the planning and coordination required compared to traditional research. I will also provide suggestions to lower barriers to access funding for and deliver on this type of research.
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Findings and Recommendations of the May 2022 US-UK AI Workshop
Findings and recommendations from a two-day virtual summit funded by the National Science Foundation (NSF) and the Engineering and Physical Sciences Research Council (EPSRC) to enhance collaborative efforts on research and innovation between the US and UK in developing AI solutions for mutual benefit.
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- Award ID(s):
- 2218819
- PAR ID:
- 10390650
- Date Published:
- Journal Name:
- May 2022 US-UK AI Workshop
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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