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AMA Best Paper Award

Heng Xu and Nan Zhang recently received a Best Paper Award from the Consumer 360° Track of the 2019 American Marketing Association (AMA) Summer Academic Conference for paper “How Much Choice is Too Much? A Machine Learning Based Meta-Analysis of...

SIGMOD Research Highlight Award

Nan Zhang and coauthors (A. Asudeh, J. Augustine, A. Nazi, S. Thirumuruganathan, G. Das and D. Srivastava) recently received a Research Highlight Award from ACM SIGMOD for their paper “Efficient...

Panel on Methodological Advances for Research Using Organic Data @ SIOP 2019

Heng Xu and Nan Zhang participated as panelists in discussions of the recent methodological developments in research using organic data, a panel at SIOP 2019 organized by Professor Betty Zhou...

Presentation on “Privacy Disparity” @ Data & Society

Heng Xu and Nan Zhang visited Data & Society Research Institute in New York City and discussed how various privacy preserving techniques may disproportionately suppress information for minorities or mask...

Panel on Cybersecurity Challenges and Opportunities

Heng Xu, co-director of the Robust Analytics Lab, will join a panel of expert discussing “Into the Cyber domain. A view from Academia and industry” at an Embassy of Italy’s...

Presentation on “Robust Data Analytics” @ AU Winter Academy Luncheon

Nan Zhang, co-director of the Robust Analytics Lab, gave a talk on robust data analytics at the American University’s inaugural Winter Academy Luncheon in Fort Lauderdale, Florida on Friday, March...

Kogod Business Briefing: Robust Analytics

Nan Zhang, co-director of the Robust Analytics Lab, discussed the importance of ensuring robustness in the data analytics process in Kogod Business Briefing on February 13, 2019.

How your friends affect your privacy on Twitter

Among the existing solutions for protecting privacy on social media, a popular doctrine is privacy self-management, which asks users to directly control the sharing of their personal information through privacy...

Privacy disparity? Addressing privacy concerns in health disparity research

Background: Most research on identifying and understanding health disparities focused on measurement strategies and analytics design over administrative and survey data. What has received less attention, however, is the complex...