Faculty

Wanda Orlikowski has received the 2023 Lifetime Service Achievement Award from the Academy of Management Communication, Digital Technology, and Organization (CTO) Division.

This award recognizes individuals who "have made outstanding service contributions to the CTO community over the course of their career,” and Orlikowski’s exemplary and long-standing research and mentoring contributions to the field were particularly cited.

The award was presented (photo here) during the AOM Annual Meeting in Boston.

Swati Gupta, incoming assistant professor of Operations Research and Statistics, has received a CAREER Award from the National Science Foundation (NSF) for her project entitled “Advancing Equity in Selection Problems Through Bias-Aware Optimization.”

CAREER Awards are the NSF’s “most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” whose activities “should build a firm foundation for a lifetime of leadership in integrating education and research.”

The project abstract is included here.

Mohammed Fazel-Zarandi (Senior Lecturer in Operations Research/Statistics; Research Scientist) won an MIT Sloan School Outstanding Teacher Award for the 2022-2023 academic year. Kerry Siani (Assistant Professor of Finance) also won an Outstanding Teacher Award.  Each year, students nominate instructors for these teaching awards and the final recipients are chosen based on the quantity and quality of their nominations. Deputy Dean Michael Cusumano thanked the winners of this year’s teaching awards for “exemplifying the dedication to pedagogical excellence that is so central to our mission at MIT Sloan.”

Andrew Sutherland (Ford International Career Development Associate Professor of Accounting) and Alexandre Jacquillat (Class of 1942 Career Development Assistant Professor; Assistant Professor of Operations Research/Statistics) were each awarded the 2023 Jamieson Prize for Excellence in Teaching. The Jamieson Prize for Excellence in Teaching Award is the most prestigious teaching prize offered by the school. The award was established in 2006 and is awarded each year to two MIT Sloan faculty members, as well as two electrical engineering and computer science faculty members, for their contributions to educational excellence at MIT. The Jamieson faculty prize is selected by a review committee at MIT.

Alexandre Jacquillat (Class of 1942 Career Development Assistant Professor; Assistant Professor of Operations Research/Statistics) and Andrew Sutherland (Ford International Career Development Associate Professor of Accounting) were each awarded the 2023 Jamieson Prize for Excellence in Teaching. The Jamieson Prize for Excellence in Teaching Award is the most prestigious teaching prize offered by the school. The award was established in 2006 and is awarded each year to two MIT Sloan faculty members, as well as two electrical engineering and computer science faculty members, for their contributions to educational excellence at MIT. The Jamieson faculty prize is selected by a review committee at MIT.

Kara Blackburn (Senior Lecturer in Managerial Communication) was named winner of the Sloan School Teacher of the Year for the 2022-2023 academic year. Each year, students nominate instructors for these teaching awards and the final recipients are chosen based on the quantity and quality of their nominations. Deputy Dean Michael Cusumano thanked the winners of this year's teaching awards for “exemplifying the dedication to pedagogical excellence that is so central to our mission at MIT Sloan.”

David Gamarnik, Nanyang Technological University Professor of Operations Research, has been named a 2023 Fellow of the Institute of Mathematical Statistics (IMS). Each Fellow is assessed by a committee of peers to have demonstrated distinction in research (in statistics or probability) or leadership that has profoundly influenced the field. This honor recognizes Gamarnik’s contributions to discrete probability, including the theory of random graphs, algorithms, and computations, as well as queueing theory.
 

Jackson Lu has received the 2022 Gordon Allport Intergroup Relations Prize from the Society for the Psychological Study of Social Issues (SPSSI). This award recognizes “the best paper or article of the year on intergroup relations” and was named for Dr. Gordon W. Allport, an SPSSI founder and past president who is widely considered one of the founding fathers of the fields of social psychology and personality psychology.

Lu’s winning paper, entitled “Disentangling Stereotypes From Social Reality: Astrological Stereotypes and Discrimination in China,” was co-authored with Xin Lucy Liu (Peking University), Hui Liao (University of Maryland, College Park), and Lei Wang (Peking University).

Jackson Lu is a winner of the 2022 SAGE Early Career Trajectory Award from the Society for Personality and Social Psychology (SPSP) in collaboration with SAGE Publications. This award recognizes “outstanding achievements by early career scholars (between 4 and 6 years post-PhD) in social and personality psychology, including contributions to teaching, research, or service to the field.” Recipients (only five across the span of social and personality psychology fields) were announced in the fall of 2022.

The MIT Sloan Sustainability Initiative’s Aggregate Confusion Project won the Institutional Investor’s 2022 Allocators’ Choice Award for Partnership of the Year.

The MIT award winners are:
Jason Jay (team leader; director of the Sustainability Initiative; senior lecturer);
Florian Berg (project co-founder; research scientist);
Julian Koelbel (project co-founder; research affiliate);
and Roberto Rigobon (Society of Sloan Fellows Professor of Management and Professor of Applied Economics).

In addition to the MIT team, the initiative includes the Massachusetts Pension Reserves Investment Management Board, Qontigo, MFS Investment Management, AQR Capital Management, and Asset Management One. The project works to reduce the level of noise in ESG (environmental, social, and governance) measurement by improving data available to managers and allocators.  More information about the MIT Sloan Sustainability Initiative’s Aggregate Confusion Project is online here.