Professorial Advancement Initiative (PAI) - Search Committees

Faculty Hiring Committee Training

Big Ten Academic Alliance institutions seek to explore a scalable, systematic change to the university URM hiring culture through partnership with campus experts and actively engaging with STEM departments. Through PAI, we offer diversity hiring workshops to faculty search committees. While many campuses have established training opportunities, we will provide additional training from resources from across all Big Ten Academic Alliance universities.

Our training program is for participating PAI institution faculty and administrators that are serving as a faculty search committee chair or member, department heads, and administrators working with search committees. Whether you need a half-day program or a two-day program, we can work with you to identify the best training for your campus.

Topics covered include but are not limited to:

  • Running a search
  • Diversity of a search committee
  • Unconscious bias and the impact on candidate evaluation
  • Strategies for managing unconscious bias
  • Running fair and effective on-campus and final interviews
  • Impartial evaluation of candidate

View Training Video Library

Big Ten Academic Alliance Directory

The Big Ten Academic Alliance Directory is a listing of PAI participants. The Directory is designed to increase the visibility of postdoctoral scholars who bring diverse perspectives and experiences to higher education. Directory is promoted among hiring committees at Big Ten Academic Alliance member universities. The searchable, online database is a publicly accessible recruitment tool for any faculty search committee.

University of Illinois  •  Indiana University • University of Iowa  •  University of Michigan  •  Michigan State University  •  University of Minnesota  •  University of Nebraska-Lincoln  •  Northwestern University  •  Ohio State University  •  Pennsylvania State University  •  Purdue University  •  University of Wisconsin-Madison

This material is based upon work supported by the National Science Foundation under AGEP-Transformation #1309028 and #1309173. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

NSF-PAI-LOGO 1309028, 1309173