Please Join UMass ADVANCE for this first in a series of four capstone webinars 

Presenting UMass ADVANCE research and proven practices on faculty collaboration and equity.

Equitable Decision Making

October 17, 2022 from 4:00-5:00pm eastern

With Drs. Laurel Smith-Doerr and James Allan, UMass ADVANCE

Making decisions fairly and equitably has an enormous impact on the departmental climate as well as career outcomes for faculty. This webinar provides strategies for how departments can set the stage for equity in shared decision-making, in ways that lead to greater transparency and inclusive decisions that do not simply reflect the loudest voices. This session covers UMass ADVANCE tools and checklists for approaches to equitably shared decision-making and faculty governance and will leave ample time for Q&A.

 

 P1

Laurel Smith-Doerr is a Professor of Sociology and Principal Investigator of the $3.1M NSF ADVANCE-Institutional Transformation grant at UMass Amherst. Her scholarship focuses on organizations and knowledge production in science and technology to understand persistent inequalities by gender and race and how to disrupt them. Smith-Doerr has served as an NSF program officer and in elected leadership roles in sociology and science studies associations. She not only studies collaboration, but also works collaboratively, and values meaningful collaboration between social and natural sciences to solve hard problems. 

 

 

 P2

James Allan is a Professor for the Manning College of Information and Computer Sciences (CICS) at UMass Amherst. He recently stepped down from serving seven years as Chair of CICS. He is the Director of the Center for Intelligent Information Retrieval and a co-PI for UMass ADVANCE. His research focuses on information retrieval, event-based information organization, as well as minimally interactive retrieval and organization. He also explores how novelty can be incorporated into retrieval algorithms, techniques for querying across languages, and methods for recognizing controversial or misleading information in text on the internet.