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Kimberly Eck; Japera Hemming; Alicia Castro; Adrienne Celaya; Camille Coley; Marta Collier-Youngblood; Samuel Darko; Tasha R. Inniss; James J. Kohler; Shelia McClure; Jacob Levin; Mike Marcinkowski; Erica Pitre; Michael Spires; Barbara L. E. Walker; Quyen Wickham; Trent Willbrand – Research Management Review, 2025
To leverage the research development expertise of its members and address the national inequity in funding between the top 150 institutions of higher education (IHEs by total research expenditures) and the broader cohort of IHEs, including all Historically Black Colleges and Universities (HBCUs), emerging research institutions (ERIs), and other…
Descriptors: Black Colleges, Research and Development, Capacity Building, Consultation Programs
Jessica Benson-Egglenton; Matthew Flinders – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: Although research-to-policy (R2P) fellowships are increasingly used to facilitate mobility, promote knowledge-exchange, and support evidence-based policy making, the evaluation of these initiatives in terms of (multi-level) impacts and broader 'ecosystem effects' remains under-researched. Aims and objectives: The aim of this article is…
Descriptors: Program Effectiveness, Pilot Projects, Research and Development, Theory Practice Relationship
Nicola Buckley; Kathryn Oliver – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: This paper provides insights into 'Policy to Research' (P2R) Fellowships and related programmes within the 'relationship' model of academic-policy engagement, which provide structured opportunities for policy officials to interact with academic researchers. Aims and objectives: Information is provided on P2R Fellowship and similar…
Descriptors: Foreign Countries, Research and Development, Theory Practice Relationship, Program Descriptions
Jiang Li; Chen Zhu; Mark Goh – Research Evaluation, 2025
Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…
Descriptors: Foreign Countries, Research and Development, COVID-19, Pandemics