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Examining Trust and Reliability at the Intersection of Computer Science and Law

During a two-day workshop in October, IDEAL explored reliability and trust in machine learning and artificial intelligence systems through the lens of computer science, law, and policy.

United statesDanielw linna jrWalterp murphyAbdelnasser rashidSarah lawskyMudd hallMesrob ohannessianPaul gowderGyorgy turanTom lynchAravindan vijayaraghavanRobert sloanDanielb rodriguezJason hartlineNorthwestern roberta buffett institute for global affairsInstitute for data

Strong Northwestern CS Presence at the ACM Conference on Economics and Computation

Northwestern faculty members Piotr Dworczak, Jason Hartline, Annie Liang, Jessica Hullman, Zhaoran Wang, and several current and former Northwestern CS students and postdoctoral fellows participated in the event.

United statesKellogg schoolAdrienne barrisJason hartlineWilliamr kenan jrYifan wuAnnie liangLos angelesEddie dekelKonstantin makarychevSamir khullerLiren shanYale universityJay lu university of californiaStanford graduate school of businessUniversity of colorado boulder

Showcasing the Work and Perspectives of Early-Career Researchers

On December 9-10, the Northwestern CS Theory Group and IDEAL co-hosted the Junior Theorists Workshop as part of the Quarterly Theory Workshop series.

Stanford universityUnited statesCollege parkUniversity of chicagoUniversity of illinois at chicagoAditi laddhaAdrienne barrisJason hartlineShravas raoAnnie liangBenjamin golubKiran shiragurYingkai liKonstantin makarychevXiao wangSamir khuller

Hartline Named 2021 Economic Theory Fellow

Economic Theory Fellows are selected for their scientific excellence, high ethical standards, and scholarly achievement.

University of chicagoUnited statesKellogg schoolMichael kearnsAdrienne barrisJason hartlineChristos papadimitriouSamir khullerNimrod megiddoMccormick school of engineeringSociety for the advancement of economic theoryToyota technological institute at chicagoInstitute for dataWeinberg college of artsNorthwestern cs theory group quarterly workshopNorthwestern kellogg school of management

Exploring New Directions on Robustness in Machine Learning

On November 16, IDEAL hosted a workshop focused on new directions on robustness in machine learning as part of the fall 2021 special quarter organized and moderated by a multi-institutional team including Professor Aravindan Vijayaraghavan.

University of chicagoUnited statesUniversity of illinois at chicagoGautam kamathJason hartlineKamalika chaudhuriMark sellkePranjal awasthiYu chengJinshuo dongKonstantin makarychevYury makarychevAravindan vijayaraghavanChao gaoMccormick school of engineeringTransdisciplinary research in principles of data science

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