Featured Stories

EIC for ACM TMIS

Heng Xu was appointed by the Association for Computing Machinery (ACM) Publications Board to a three-year term (May 15, 2024 - May 14, 2027) as the Editor-in-Chief for the ACM Transactions on Management Information Systems....

01 May 2024

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 and Experiences with Digital Privacy...

29 Nov 2021

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Social Justice Best Paper Award

A paper co-authored by Heng Xu and Nan Zhang, “Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning,” published at Information Systems Research, has been honored with the INFORMS...

Robust Analytics Lab Robust Analytics Lab
20 Oct 2024

Is AI Useful for Scientific Assessments?

On September 25, 2024, Dr. Heng Xu was invited to speak on “AI Landscape and Tools for Scientific Assessments” to the Committee to Advise the U.S. Global Change Research Program...

Heng Xu Heng Xu
25 Sep 2024

AI and State/Local Government Services and Equity

On August 22, 2024,Dr. Heng Xu moderated a discussion session titled “AI Peer-to-Peer Series: AI and State and Local Government Services and Equity,” organized by the National Academy of Sciences’...

Heng Xu Heng Xu
22 Aug 2024

Navigating the AI Landscape

On April 9, 2024, Dr. Heng Xu was invited, along with Rayid Ghani (Carnegie Mellon University) and Santiago Garces (Boston’s Chief Innovation Officer), to speak at an event titled “Navigating...

Heng Xu Heng Xu
09 Apr 2024

National Academies Board on Human-System Integration

Dr. Heng Xu will join leaders in science, engineering, and industry to serve on the Board on Human-Systems Integration, National Academies of Science, Engineering, and Medicine. The board was established...

Heng Xu Heng Xu
01 Feb 2024

Goal Orientation for Fair Machine Learning Algorithms

A key challenge facing the use of Machine Learning (ML) in organizational selection settings (e.g., the processing of loan or job applications) is the potential bias against (racial and gender)...

Robust Analytics Lab Robust Analytics Lab
22 Jan 2024

CES APA Panel on What Firms Need to Know about Privacy

Heng Xu joined a panel of experts hosted by the American Psychological Association (APA) at CES 2024 to discuss about what companies need to know about how people understand privacy....

Heng Xu Heng Xu
09 Jan 2024

Information privacy - Challenges and opportunities for technology and measurement

We recently published a book chapter, “Information privacy: Challenges and opportunities for technology and measurement”, in Technology and Measurement around the Globe edited by Drs. Louis Tay, Sang Eun Woo,...

Robust Analytics Lab Robust Analytics Lab
09 Nov 2023

Working Paper - Theorizing about the Complexity of Privacy Phenomena - A Configurational Approach

We posted on SSRN a working paper by Heng Xu and Nan Zhang, addressing challenges facing the theorization of complex privacy phenomena.

Robust Analytics Lab Robust Analytics Lab
06 Nov 2023