Alliances for Graduate Education and the Professoriate Predominately Undergraduate Institutions (AGEP-PUI)

The Alliances for Graduate Education and the Professoriate (AGEP), funded by the National Science Foundation (NSF), is a collaboration between Stony Brook University (lead Institution), Brookhaven National Laboratory, Farmingdale State College, and Suffolk County Community College. Partners in the AGEP Predominately Undergraduate Institutions (PUI) Alliance work toward developing, implementing, studying, institutionalizing, evaluating and disseminating a model for training and support for STEM doctoral dissertators interested in faculty careers.
Program participants may follow one of two paths as AGEP PUI scholars:
- Path 1: PhD >> Faculty Position at PUI
- Path 2: PhD >> Postdoctoral Training >> Faculty Position at PUI
Brookhaven Lab supports the AGEP PUI Alliance in a unique role as a Federally Funded Research and Development Center (FFRDC) with
- Research Engagement and Capacity Development
- FFRDC Access and Collaborations
- Pedagogical Support and Experience
- FFRDC Community Engagement
In addition, participants in the program benefit from programmatic elements such as:
- Laboratory Events and Workshops
- Pedagogical Training and Mentored Micro-Teaching Experiences in Informal Learning Settings
- Near-Peer and Brookhaven Lab Community Interactions
- Professional Development Training
Partners
Stony Brook University
NSF-AGEP Leadership:
- Karian Wright, Principal Investigator
- Monica Bugallo, Co-Principal Investigator
- Bonita London, Co-Principal Investigator (Research Study)
- Lisa Ospitale, Program Manager
Suffolk County Community College
NSF-AGEP Leadership:
- Wesley Francillon, Principal Investigator
- Nina A Leonhardt, Program Coordinator
- Candice J. Foley, Program Consultant
Farmingdale State College
NSF-AGEP Leadership:
- Paolo Castillo, Principal Investigator
- Christopher Malone, Co-Principal Investigator
- Tracy Callender, Co-Principal Investigator
- Nafeeza K Uddin Schmid, Program Coordinator
This project is supported by the National Science Foundation under Grant Nos. 1821083, 1821005 & 1820997