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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.

Heng Xu Heng Xu
11 Mar 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.

Robust Analytics Lab Robust Analytics Lab
01 Mar 2022

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...

Robust Analytics Lab Robust Analytics Lab
01 Mar 2022

MISQ Impact Award

Professor Heng Xu received the inaugural Impact Award from MIS Quarterly for her article “Information Privacy Research: An Interdisciplinary Review” (joint work with Tamara Dinev and the late H. Jeff Smith).

Heng Xu Heng Xu
01 Dec 2021

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...

Robust Analytics Lab Robust Analytics Lab
29 Nov 2021

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.

Robust Analytics Lab Robust Analytics Lab
01 Sep 2021

Woman of Achievement Award

Heng Xu received The Woman of Achievement Award from the IEEE International Conference on Big Data Security on Cloud, for her “substantial contributions either in research, product development or mentoring”...

Heng Xu Heng Xu
01 May 2021

RSA Conference Panel on "AI meets cybersecurity"

In an upcoming RSA Conference webcast, Heng Xu will join a panel of experts to discuss “AI meets cybersecurity: crossing the streams and how to manage the dynamic results”.

Heng Xu Heng Xu
02 Feb 2021

Implications of Anonymization on Disparity Detection

In an article forthcoming at Management Science, we examined the extent to which data anonymization could mask the gross statistical disparities between sub-populations in the data.

Robust Analytics Lab Robust Analytics Lab
18 Jan 2021