AGEP National Research Conference 2020: Sustaining, Institutionalizing and Scaling AGEP Alliance Models and Initiatives

NSF AGEP Alliance Conference Proposal: Building AGEP partnerships through experiential learning The Alliances for Graduate Education and the Professoriate (AGEP) program funds research that explores the development, implementation, and investigation of models that will transform the advancement of historically underrepresented minorities (URMs) in Science, Technology, Engineering and Mathematics (STEM) disciplines and/or education research. This conference will advance knowledge about research as it relates to the AGEP program by emphasizing sustainability, institutional change, and scaling of AGEP interventions and programs. Over 200 PIs and co-PIs of funded AGEP awards will: 1) disseminate, adopt and adapt research findings, tools, and program resources generated by AGEP alliances; 2) intentionally identify and begin construction of opportunities for large-scale AGEP alliance formation. Two and a half days of conference sessions will be experiential learning based – conference participants will learn through their reflections on how other AGEP Alliances do their work. Sessions will focus on three broad themes: intervention / initiative design, evaluation tools, and institutional change. There will also be action-oriented workshops facilitated by members of the organizing committee that will explore opportunities to create new initiatives and develop collaborations between AGEP alliances. We will follow a collective impact approach - deliberately working to align mutually reinforcing activities to identify synergies and nascent collaborations. Intellectual merit - This conference will advance knowledge of AGEP research findings within the AGEP community both in the dissemination of research results as well as in the dissemination of our practices within our programs. Though research and program outcomes are often well-documented, sustainability and institutional change within and across institutions is harder to achieve. Making the leap from listeni