Yeomans, M., Kantor, A., & Tingley, D. (Forthcoming). politeness: Detecting Politeness Features in Text”. R Journal.

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

Mahajan, A., Tingley, D., & Wagner, G. (Forthcoming). Fast, cheap, and imperfect? U.S. public opinion about solar geoengineering. Environmental Politics. fastcheapimperfect.pdf

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

Tingley, D. (2019). Public Perceptions of Solar Geoengineering with Implications for Governance. In Governance of the deployment of solar geoengineering . Harvard Project on Climate Agreements. Publisher's Version

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

Obradovich, N., Tingley, D., & Rahwan, I. (2018). Effects of environmental stressors on daily governance. Proceedings of the National Academy of Sciences , 115 (35), 8710-8715. Publisher's Version

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

Olivola, C., Tingley, D., & Todorov, A. (2018). Republican Voters Prefer Candidates Who Have Conservative-Looking Faces: New Evidence from Exit Polls. Political Psychology , 35 (9), 1157-1171.

Kertzer, J., & Tingley, D. (2018). Political Psychology in International Relations: Beyond the Paradigms. Annual Review of Political Science , 319–339. psyir.pdf

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.