
Contact Information
Research Areas
Additional Campus Affiliations
Associate Professor, School of Information Sciences
Associate Professor, National Center for Supercomputing Applications (NCSA)
Associate Professor, College of Law
Associate Professor, Computer Science
Associate Professor, Coordinated Science Lab
Recent Publications
Krafczyk, M. S., Shi, A., Bhaskar, A., Marinov, D., & Stodden, V. (2021). Learning from reproducing computational results: Introducing three principles and the Reproduction Package. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197), [20200069]. https://doi.org/10.1098/rsta.2020.0069
Schweinsberg, M., Feldman, M., Staub, N., van den Akker, O. R., van Aert, R. C. M., van Assen, M. A. L. M., Liu, Y., Althoff, T., Heer, J., Kale, A., Mohamed, Z., Amireh, H., Venkatesh Prasad, V., Bernstein, A., Robinson, E., Snellman, K., Amy Sommer, S., Otner, S. M. G., Robinson, D., ... Luis Uhlmann, E. (2021). Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis. Organizational Behavior and Human Decision Processes, 165, 228-249. https://doi.org/10.1016/j.obhdp.2021.02.003
Zhang, P., Jiang, Y., Wei, A., Stodden, V., Marinov, D., & Shi, A. (2021). Domain-specific fixes for flaky tests with wrong assumptions on underdetermined specifications. In Proceedings - 2021 IEEE/ACM 43rd International Conference on Software Engineering, ICSE 2021 (pp. 50-61). (Proceedings - International Conference on Software Engineering). IEEE Computer Society. https://doi.org/10.1109/ICSE43902.2021.00018
Chapp, D., Stodden, V., & Taufer, M. (2020). Building a vision for reproducibility in the cyberinfrastructure ecosystem: Leveraging community efforts. Supercomputing Frontiers and Innovations, 7(1), 112-119. https://doi.org/10.14529/js200106
Chard, K., Gaffney, N., Hategan, M., Kowalik, K., Ludäscher, B., McPhillips, T., Nabrzyski, J., Stodden, V., Taylor, I., Thelen, T., Turk, M. J., & Willis, C. (2020). Toward enabling reproducibility for data-intensive research sing the whole tale platform. In I. Foster, G. R. Joubert, L. Kucera, W. E. Nagel, & F. Peters (Eds.), Parallel Computing: Technology Trends (pp. 766-778). (Advances in Parallel Computing; Vol. 36). IOS Press BV. https://doi.org/10.3233/APC200107