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Reconcile Paradoxical Findings Through an Analytical Lens

In an article forthcoming at MIS Quarterly, we launched an interdisciplinary inquiry into the feasibility of leveraging advanced analytical techniques to collectively reason about the conflicting findings in behavioral research....

CACM Research Highlight

In the research highlights section of the February 2021 issue, Communications of the ACM (CACM) published an article co-authored by Nan Zhang, “Scalable Signal Reconstruction for a Broad Range of Applications”.

Panel on Using Sensitive Data to Counter Bias and Discrimination

Heng Xu, co-director of the Robust Analytics Lab, will join a panel of experts discussing the use of sensitive data in research to counter hidden bias and discrimination at the...

ITSS Leadership Award in Intelligence and Security Informatics

Heng Xu was awarded the IEEE Intelligent Transportation Systems Society (ITSS) Leadership Award in Intelligence and Security Informatics for 2021 for her “recognized sustained leadership in fields such as cybersecurity...

Upcoming Talk at UCSD Health

Heng Xu and Nan Zhang, co-directors of the Robust Analytics Lab, will give a (virtual) presentation at the University of California San Diego Health Department of Biomedical Informatics (DBMI) lecture...

Disentangling Effect Size Heterogeneity in Meta-analysis - A Latent Mixture Approach

An article co-authored by Nan Zhang, Mo Wang, and Heng Xu was recently accepted for publication at Psychological Methods. In the article, we leveraged the recent advances in theoretical machine...

Working Paper - Implications of Data Anonymization on the Statistical Evidence of Disparity

We posted on SSRN a working paper by Heng Xu and Nan Zhang, addressing the implications of data anonymization on the statistical evidence of disparity.

Facebook Live: COVID-19's Implications for Cybersecurity

Update: See Kogod News for a report of the event.

Upcoming Talk at Harvard Privacy Tools Working Group

Heng Xu and Nan Zhang, co-directors of the Robust Analytics Lab, will give a (virtual) presentation to the Harvard Privacy Tools project working group, Berkman Klein Center for Internet &...