events

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...

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’...

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.

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...

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...

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....

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.

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.

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”.

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...

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...

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 &...

Robustness in Social Media Studies

On Tuesday, February 4, Nan Zhang gave a talk on robustness in social media studies at DAISY 2020, a Workshop on Trans-disciplinary Data Science in the University of Florida. The...

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.

AU Ed Talk: Data in the everyday

Heng Xu, co-director of the Robust Analytics Lab, will deliver one of the four AU Ed Talks in this year’s All American Weekend. Her talk, “Data in the Everyday”, will...

Talk at UMD: Privacy Contextualization: the Good, the Bad, and the Ugly

Heng Xu, co-director of the Robust Analytics Lab, will give a talk at the iSchool, University of Maryland, College Park, titled “Privacy Contextualization: the Good, the Bad, and the Ugly”....

Sep 26: Cybersecurity & Privacy Forum: Bridging Research & Practice

Update: See the event re-cap article in Kogod News.

Sep 27-28: Symposium on Privacy-Aware Computing

Nan Zhang, co-director of the Robust Analytics Lab, is co-chairing the technical program for this year’s IEEE Symposium on Privacy-Aware Computing (IEEE PAC) along with Joe Valacich, Eller College of...

Oct 9: KCGC Advisory Committee Meeting

The Kogod Cybersecurity Governance Center held its annual advisory committee meeting on Tuesday, October 9, 2018. Dr. Heng Xu, the Director of KCGC, shared with the advisory committee members the...

Talk on Reliable Research in Business Workshop

Heng Xu and Nan Zhang, Co-directors of Robust Analytics Lab, recently gave a joint talk titled “Open Data + Robust Workflow: Towards Reproducible Empirical Research on Organic Data” in the...