Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO2022)

Association for Computing Machinery

Conference

October 6, 2022 to October 9, 2022
9:00am to 5:00pm
Washington, DC

EAAMO22 - logo bannerBIDS Faculty Affiliate Rediet Abebe – Assistant Professor of Computer Science at UC Berkeley – leads the Executive Organizing Committee for the second ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO2022), which aims to highlight work where techniques from algorithms, optimization, and mechanism design, along with insights from the social sciences and humanistic studies, can help improve equity and access to opportunity for historically disadvantaged and underserved communities. 

The conference is organized by the Mechanism Design for Social Good (MD4SG) and builds on the MD4SG technical workshop series and tutorials at conferences including ACM EC, ACM COMPASS, ACM FAccT and WINE. The conference will feature keynote talks, panels, and contributed presentations across numerous fields. In line with the MD4SG core values of bridging research and practice, the conference will bring together researchers, policy-makers, and practitioners in various government and non-government organizations, community organizations, and industry to build multi-disciplinary pipelines. Questions about the conference may be directed to ec22@eaamo.org.

Speaker(s)

Rediet Abebe

Assistant Professor, Computer Science, UC Berkeley

Rediet Abebe is an Assistant Professor of Computer Science at the University of California, Berkeley, and a Junior Fellow (2019-22) at the Harvard Society of Fellows. Abebe holds a Ph.D. in computer science from Cornell University and graduate degrees in mathematics from Harvard University and the University of Cambridge. Her research is in artificial intelligence and algorithms, with a focus on equity and justice concerns. Abebe is a co-founder and co-organizer of the multi-institutional, interdisciplinary research initiative Mechanism Design for Social Good (MD4SG). Her dissertation, Designing Algorithms for Social Good, received the 2020 ACM SIGKDD Dissertation Award and an honorable mention for the ACM SIGEcom Dissertation Award for offering the foundations of this emerging research area. Abebe's work has informed policy and practice at the National Institute of Health (NIH) and the Ethiopian Ministry of Education. She has been honored in the MIT Technology Review's 35 Innovators Under 35 list as a pioneer and the Bloomberg 50 list as a one to watch. Her work has been featured in BBC, ELLE, Forbes, and Shondaland and presented at venues including the National Academy of Sciences, United Nations, and Museum of Modern Art. Abebe also co-founded Black in AI, a non-profit organization tackling representation and equity issues in AI. Her research is influenced by her upbringing in her hometown of Addis Ababa, Ethiopia.