Publications

Forthcoming
Guan, Y., Tingley, D., Romney, D., Jamal, A., & Keohane, R. (Forthcoming). Chinese views of the United States: evidence from Weibo. International Relations of the Asia-Pacific. Publisher's Version
Obradovich, N., Tingley, D., & Rahwan, I. (Forthcoming). Effects of environmental stressors on daily governance. Proceedings of the National Academy of Sciences. Publisher's Version
Mahajan, A., Tingley, D., & Wagner, G. (Forthcoming). Fast, cheap, and imperfect? U.S. public opinion about solar geoengineering. Environmental Politics.
Olivola, C., Tingley, D., & Todorov, A. (Forthcoming). Republican Voters Prefer Candidates Who Have Conservative-Looking Faces: New Evidence from Exit Polls. Political Psychology.
Spilker, G., Bernauer, T., Kim, I. S., Milner, H., Osgood, I., & Tingley, D. (Forthcoming). Trade at the Margin: Estimating the Economic Implications of Preferential Trade Agreements. Review of International Organizations. tradeatmargin.pdf
Mildenberger, M., & Tingley, D. (Forthcoming). Beliefs about Beliefs: The Importance of Second-Order Opinions for Climate Politics. British Journal of Political Science. mildenbergertingley_bjps.pdf
Kim, I. S., Milner, H., Bernauer, T., Spilker, G., Osgood, I., & Tingley, D. (Forthcoming). Firms’ Preferences over Multidimensional Trade Policies: Global Production Chains, Investment Protection and Dispute Settlement Mechanisms. International Studies Quarterly. Publisher's Version
Horowitz, M., Stewart, B., Tingley, D., Bishop, M., Resnick, L., Roberts, M., Chang, W., et al. (Forthcoming). What Makes Foreign Policy Teams Tick: Explaining Variation in Group Performance At Geopolitical Forecasting. Journal of Politics. teamwork.pdf
Chilton, A., Milner, H., & Tingley, D. (Forthcoming). Reciprocity and Public Opposition to Foreign Direct Investment. British Journal of Political Science. cmt-mergers.pdf
Roberts, M., Stewart, B., & Tingley, D. (Forthcoming). stm: R Package for Structural Topic Models. Journal of Statistical Software. Publisher's Version
2018
Rosen, Y., Rushkin, I., Rubin, R., Munson, L., Ang, A., Weber, G., Lopez, G., et al. (2018). The Effects of Adaptive Learning in a Massive Open Online Course on Learners’ Skill Development. Learning at Scale. Publisher's Version adaptivelas2018.pdf
Yeomans, M., Kindel, A., Mavon, K., Reich, J., Stewart, B., & Tingley, D. (2018). Engagement Across Political Differences in Massive Open Online Courses. International Journal of Artificial Intelligence in Education , https://doi.org/10.1007/s40593-017-0161-0. Publisher's Version engagementacrossdifference.pdf
Williams, J., Rafferty, A., Tingley, D., Ang, A., Lasecki, W., & Kim, J. (2018). Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments. Computer Human Interaction . 36th Annual ACM Conference on Human Factors in Computing Systems. Publisher's Version
Kertzer, J., & Tingley, D. (2018). Political Psychology in International Relations: Beyond the Paradigms. Annual Review of Political Science , 319–339. psyir.pdf
2017
Whitehill, J., Mohan, J., Seaton, D., Tingley, D., & Rosen, Y. (2017). MOOC Dropout Prediction: How to Measure Accuracy? Proceedings of the Fourth (2017) Association for Computing Machinery on Learning @ Scale. whitehill-mooc.pdf
Ang, A., Rosen, Y., Fredericks, C., Rushkin, I., Lopez, G., Tingley, D., & Blink, M. J. (2017). Designing Adaptive Assessments in MOOCs . Proceedings of the Fourth (2017) Association for Computing Machinery on Learning @ Scale.
Williams, J., Rafferty, A., Lasecki, W., Ang, A., Tingley, D., & Kim, J. (2017). Connecting Instructors and Learning Scientists via Collaborative Dynamic Experimentation . ACM CHI Conference on Human Factors in Computing Systems.
Williams, J., Rafferty, A., Maldonado, S., Ang, A., Tingley, D., & Kim, J. (2017). ``Tools for Dynamic Experimentation and Personalization. Proceedings of the Fourth (2017) Association for Computing Machinery on Learning @ Scale.
Lopez, G., Seaton, G., Ang, A., Chuang, I., & Tingley, D. (2017). `Google BigQuery for Education: Framework for Parsing and Analyzing edX MOOC Data' . Proceedings of the Fourth (2017) Association for Computing Machinery on Learning @ Scale.
Rushkin, I., Rosen, Y., Ang, A., Fredericks, C., Tingley, D., Blink, M. J., & Lopez, G. (2017). Adaptive Assessment Experiment in a HarvardX MOOC. Educational Data Mining . International Conference on Educational Data Mining.

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