We gratefully acknowledge Meta Research for their generous support of our project “Addressing biases in measurement of self-reported privacy constructs”, which was selected as part of the 2021 People’s Expectations...
We gratefully acknowledge the National Science Foundation and Amazon for their generous support of our project “Using Machine Learning to Address Structural Bias in Personnel Selection”, which was selected as part of the NSF Program on Fairness in Artificial Intelligence...
The Robust Analytics Lab in the Kogod School of Business at the American University in Washington, D.C. is looking for an exceptional candidate to fill a postdoctoral fellow position. The initial term of this position is one year with the...
We gratefully acknowledge the Defense Advanced Research Projects Agency (DARPA) for their support on our project “Theore: Theory-Driven Curation and Reusable Evaluation of Research Claims in social and behavioral studies”.
We gratefully acknowledge the National Science Foundation for their support on our project 1850605, “RR: Establishing and Boosting Confidence Levels for Empirical Research Using Twitter Data”.
We gratefully acknowledge the National Science Foundation for their support on our project 1801539, “SaTC: CORE: Medium: Situation-Aware Identification and Rectification of Regrettable Privacy Decisions”.
Heng Xu, co-director of the Robust Analytics Lab, is a co-PI of a recently awarded National Science Foundation project, 1823633: “RR: The Generalizability and Replicability of Twitter Data for Population...
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