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Nature Forum on Empowering Data as a New Asset

In an upcoming Nature Conference, Forum on Empowering Data as A New Asset, Heng Xu will join a panel of industry leaders, data economists and policy makers to discuss about...

Provost’s Distinguished Lecture

Professor Heng Xu will be featured in one of the two events in the Fall 2022 Provost’s Distinguished Lecture Series in American University. She will deliver a talk titled “What...

Talks at MPI Sympoisium

Heng Xu and Nan Zhang will speak at the Interdisciplinary Symposium on Human and Societal Aspects in Computing organized by the Max Planck Institute for Security and Privacy on October 25-26, 2022, in Bochum, Germany.

University Faculty Award

Professor Heng Xu was awarded the 2021-2022 American University Faculty Award for Outstanding Scholarship, Research, Creative Activity, and other Professional Contributions. The annual award is given to a faculty member who has achieved distinction as a scholar as documented through...

Change Can't Wait San Francisco Panel on AI Governance

Professor Heng Xu joined a panel of experts to discuss AI Governance in the Change Can’t Wait San Francisco event on March 11, 2022.

Working Paper - Fairness of Ratemaking for Catastrophe Insurance

We posted on SSRN a working paper by Nan Zhang and Heng Xu, addressing the problem of fair ratemaking in catastrophe insurance.

Organic Data and the Design of Studies

We recently published a book chapter, “Organic Data and the Design of Studies”, in collaboration with Dr. Le Zhou (University of Minnesota), in Data, Methods and Theory in the Organizational...

Privacy Measurement Project

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...

From Contextualizing to Context-Theorizing

In an article forthcoming at Management Science, we developed a conceptual framework and its associated methodological instantiation for assessing how context-oriented nuances influence privacy concerns.