Machine learning has emerged as a popular tool for personnel selection, leveraging data to enhance hiring processes. An article forthcoming at Personnel Psychology studies the potential of machine learning in...
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...
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....
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”.
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...
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.
We posted on SSRN a working paper co-authored by Heng Xu and Nan Zhang, “From Contextualizing to Context-Theorizing: Assessing Context Effects in Privacy Research”.
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...
An article co-authored by Heng Xu, Nan Zhang, and Le (Betty) Zhou was recently accepted for publication at the Journal of Management. In the article, we provide an overview of...
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...
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...
The Robust Analytics Lab in the Kogod School of Business at the American University in Washington, D.C. is looking for an exceptional candidate to fill a postdoctoral fellow position. The initial term of this position is one year with the...
We gratefully acknowledge the Defense Advanced Research Projects Agency (DARPA) for their support on our project “Theore: Theory-Driven Curation and Reusable Evaluation of Research Claims in social and behavioral studies”.
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...
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...
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...
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.
Selecting the best items in a dataset is a common task in data exploration. However, the concept of “best” lies in the eyes of the beholder - different users may...
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...
We gratefully acknowledge the National Science Foundation for their support on our project 1850605, “RR: Establishing and Boosting Confidence Levels for Empirical Research Using Twitter Data”.
As part of our efforts for developing a toolset that enables robust analytics over social media such as Twitter, we published at Github the cached-throttled-req package under GPL-3.0 license. It...
The National Academies of Sciences, Engineering, and Medicine today released a new report on “Open Science By Design: Realizing a Vision for 21st Century Research”, which introduces a framework of...
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...
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