Design of an Active Learning System with Human Correction for Content Analysis

Yan, J. L. S., McCracken, N., & Crowston, K.. (2014). Design of an Active Learning System with Human Correction for Content Analysis. In Workshop on Interactive Language Learning, Visualization, and Interfaces, 52nd Annual Meeting of the Association for Computational Linguistics. Presented at the Workshop on Interactive Language Learning, Visualization, and Interfaces, 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore, MD.

Optimizing Features in Active Machine Learning for Complex Qualitative Content Analysis

Yan, J. L. S., McCracken, N., Zhou, S., & Crowston, K.. (2014). Optimizing Features in Active Machine Learning for Complex Qualitative Content Analysis. In Workshop on Language Technologies and Computational Social Science, 52nd Annual Meeting of the Association for Computational Linguistics. Presented at the Workshop on Language Technologies and Computational Social Science, 52nd Annual Meeting of the Association for Computational Linguistics , Baltimore, MD.

My paper was selected as one of the best published information systems papers of 2012

As announced at ICIS 2013 in December 2013, my paper with Mary Beth Watson-Manheim and Katherine M. Chudoba (, Information Systems Journal, Volume 22, Issue 1, 29-52) was selected as one the best published information systems papers of 2012.

Presentation at the National Academy of Science

I was invited to give a response to two papers on "Technology and Design for Team Science" in the Workshop on Institutional and Organizational Supports for Team Science, part of the National Academies .

ICPSR challenge grant for research data management

Jian Qin and I were awarded one of four one-year challenge grants from ICPSR's Sloan-funded project on "Building Community Engagement in Data Citation and Open Access to Data," to support innovative research on topics related to the management and stewardship of research data (see the press release ).

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