Victor Shnayder and David C. Parkes. 2016. “Practical Peer Prediction for Peer Assessment.” In Proc. of the 4th AAAI Conference on Human Computation and Crowdsourcing, (HCOMP).

Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, and David C. Parkes. 2016. “Informed Truthfulness in Multi-Task Peer Predictions.” In Proceedings of the 17th ACM Conf. on Economics and Computation (EC16), Pp. 179-196.

Harikrishna Narasimhan, Shivani Agarwal, and David C. Parkes. 2016. “Automated Mechanism Design without Money via Machine Learning.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 433-439.

Victor Shnayder, Rafael M. Frongillo, and David C. Parkes. 2016. “Measuring Performance Of Peer Prediction Mechanisms Using Replicator Dynamics.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 2611-2617.

Harikrishna Narasimhan and David C. Parkes. 2016. “A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms.” In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI’16).

Brandon K. Liu, David C. Parkes, and Sven Seuken. 2016. “Personalized Hitting Time for Informative Trust Mechanisms Despite Sybils.” In Proceedings of the 15th International Conference on Autonomous Agent & Multiagent Systems (AAMAS’16), Pp. 1124-1132.

Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, and David Parkes. 2016. “Informed Truthfulness for Multi-Task Peer Prediction.” In Proc. of the HCOMP Workshop on Mathematical Foundations of Human Computation.

Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Kevin Leyton-Brown, David C. Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, and Astro Teller. 2016. "Artificial Intelligence and Life in 2030." One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel.

Panos Toulis and David C. Parkes. 2016. “Long-term causal effects via behavioral game theory.” In Annual Conference on Neural Information Processing Systems (NIPS).

Debmalya Mandal and David C. Parkes. 2016. “Correlated Voting.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 366-372.

Debmalya Mandal, Matthew Leifer, David C. Parkes, Galen Pickard, and Victor Shnayder. 2016. “Peer Prediction with Heterogeneous Tasks.” In Proc. of the NIPS Workshop on Crowdsourcing and Machine Learning.

Hongyao Ma, Valentin Robu, N Ali, and David C. Parkes. 2016. “Incentivizing Reliability in Demand-Side Response.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 352-358.

Paul Duetting, Felix Fischer, and David C. Parkes. 2016. “Truthful Outcomes from Non-Truthful Position Auctions.” In Proceedings of the 17th ACM Conf. on Economics and Computation (EC16), Pp. 813.

Hongyao Ma, Reshef Meir, and David C. Parkes. 2016. “Social Choice for Agents with General Utilities.” In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI’16), Pp. 345-351.

Reshef Meir and David C. Parkes. 2016. “When are Marginal Congestion Tolls Optimal?” In Proceedings of the Ninth International Workshop on Agents in Traffic and Transportation (ATT 2016) 2016.