Publications

• Gelauff, L.L. & Goel, A. (submitted). Opinion Change or Differential Turnout: Changing Opinions on the Austin Police Department in a Budget Feedback Process
• Wellings, T., Heravan, F.B., Sharma, A., Gelauff, L.L., Haenggli, R. & Pournaras, E. (2023). Fair and Inclusive Participatory Budgeting: Voter Experience with Cumulative and Quadratic Voting Interfaces. arXiv:2308.04345
• Gelauff, L.L., Nikolenko, L., Sakshuwong, S., Fishkin, J., Goel, A., Munagala, K., and Siu, A. (2023). Achieving Parity with Human Moderators: A Self-Moderating Platform for Online Deliberation. In The Routledge Handbook of Collective Intelligence for Democracy and Governance, edited by Stephen Boucher, Carina Antonia Hallin, and Lex Paulson, 202–21. Routledge International Handbooks. New York: Routledge, 2023
• Gelauff, L.L. & Goel, A. (2022). Opinion Change or Differential Turnout: Austin’s Budget Feedback Exercise and the Police DepartmentEAAMO '22: Equity and Access in Algorithms, Mechanisms, and Optimization
• Gelauff, L.L., Goel, A., Im, S. & Munagala, K. (2022). Representational Robustness in Social Choice. Extended abstract presented at ACM Collective Intelligence 2022
• Guo, K., Gelauff, L.L. & Goel, A. (2022). Newton Zoning Exercise 2022 Report. Technical Report.
• Shen, Z., Korolova, A., Gelauff, L.L., Goel A. & Munagala, K. (2021). Robust Allocations with Diversity Constraints. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 13, 2021
• Gelauff, L.L., Kim, D. & Goel, A. (2021). The City of Austin FY 2022 Budget Survey - Report. Technical Report.
• Gelauff, L.L., Goel, A., Munagala, S. & Yandamuri, S. (2020). Advertising for Demographically Fair Outcomes arXiv:2006.03983.
• Gelauff, L.L., Reamer, S.T. & Goel, A. (2020). The City of Long Beach FY 2021 Budget Exercise Final Report. Technical Report.
• Chen, Y., Gelauff, L.L., Goel & Goel, A. (2020). The City of Austin FY 2021 Budget Survey - Report. Technical Report.
• Fishkin, J., Garg, N., Gelauff, L.L., Goel, A., Siu, A. & Yandamuri, S. (2019). Deliberative Democracy with the Online Deliberation Platform. AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2019. Demo.
• Garg, N., Gelauff, L.L., Sakshuwong, S. & Goel, A. (2019). Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates. AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2019
• Goel, A., Krishnaswamy, A. K., Sakshuwong, S. and Aitamurto, T. (2019). Knapsack Voting for Participatory Budgeting. To appear in the Transactions of Economics and Computation.
• Garg, N., Kamble, V., Goel, A., Marn, D., & Munagala, K. (2019). Iterative Local Voting for Collective Decision-making in Continuous Spaces. Journal of Artificial Intelligence Research 64, 315-355.
• Fain, B., Goel, A., Munagala, K., & Prabhu, N. (2019). Random Dictators with a Random Referee: Constant Sample Complexity Mechanisms for Social Choice. AAAI 2019
• Goel, A., Krishnaswamy, A. K., Hulett, R. (2018). Relating Metric Distortion and Fairness of Social Choice Rules. 13th Workshop on the Economics of Networks, Systems and Computation (NetEcon)
• Goel, A., Krishnaswamy, A. K. (2018). Implementing the Lexicographic Maxmin Bargaining Solution 14th Conference on Web and Internet Economics (WINE)
• Garg, N., Goel, A., Plaut, B. (2018). Markets for Public Decision Making. 14th Conference on Web and Internet Economics (WINE)
• Gelauff, L. L., Sakshuwong, S., Garg, N., Goel, A. (2018) Comparing voting methods for budget decisions on the ASSU ballot. Technical Report.
• Aitamurto, T., & Saldivar, J. (2017) Motivating Participation in Crowdsourced Policymaking: The Interplay of Epistemic and Interactive Aspects. Proceedings of ACM on Human-Computer Interaction 1 (2) Article 18.
• Garg, N., Kamble, V., Goel, A., Marn, D., & Munagala, K. (2017). Collaborative Optimization for Collective Decision-making in Continuous Spaces. In Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee
• Goel, A., Krishnaswamy, A. K., & Munagala, K. (2017). Metric distortion of social choice rules: Lower bounds and fairness properties. In Proceedings of the 2017 ACM Conference on Economics and Computation
• Aitamurto, T. and Saldivar, J. (2017) Examining the Quality of Crowdsourced Deliberation: Respect, Reciprocity and Lack of Common-Good Orientation. CHI’17 Extended Abstracts, May 06-11, 2017, Denver, CO, USA.
• Aitamurto, T. and Chen, K. (2017) The Value of Crowdsourcing in Public Policy-Making: Epistemic, Democratic and Economic Value. Journal of Theory and Practice of Legislation. 5 (1) 55-72.
• Goel, A., Krishnaswamy, A. K., & Sakshuwong, S. (2016). Budget aggregation via knapsack voting: welfare-maximization and strategy-proofness. Collective Intelligence 2016.
• Goel, A., Krishnaswamy, A. K., Sakshuwong, S., & Aitamurto, T. (2016). Knapsack voting: Voting mechanisms for participatory budgeting.
• Brandon Fain, Ashish Goel, Kamesh Munagala: The Core of the Participatory Budgeting Problem. WINE 2016: 384-399
• Aitamurto, T., Landemore, H. and Saldivar Galli, J. (2016) Unmasking the Crowd: Participants’ Motivation Factors, Expectations, and Profile in a Crowdsourced Law Reform. Information, Communication & Society. Online First, September 2016.
• Aitamurto, T. and Landemore, H. (2016) Crowdsourced deliberation: The case of the crowdsourced off-road traffic law in Finland. Policy & Internet, 8 (2) 174-196.
• Goel, A., Krishnaswamy, A. K., Sakshuwong, S., & Aitamurto, T. (2015). Knapsack voting. Collective Intelligence 2015.
• Dandekar, P., & Lee, D. T. Opinion Formation as Convex Cost Minimization. (Submitted).
• Lee, D. T. (2015). Efficient, Private, and ε-Strategyproof Elicitation of Tournament Voting Rules. Appeared in the 24th International Joint Conference on Artificial Intelligence (IJCAI). Jul 2015.
• Aitamurto, T., Landemore, H., Lee, D. T., & Goel. (2014). Crowdsourced Off-Road Traffic Law Experiment In Finland. Report about idea crowdsourcing and evaluation. Publications of the Committee for the Future, the Parliament of Finland. 1/2014.
• Dandekar, P., Dutta, D., & Goel, A. (2014). Deliberative decision-making in convex environments. In preparation.
• Lee, D.T., Aitamurto, T., Landemore, H., & Goel, A. (2014). Crowdsourcing for Participatory Democracy: Efficient Elicitation of Social Choice Functions. Poster in Conference on Collective Intelligence 2014. It received a Notable Paper Award at HCOMP 2014, the second Association for the Advancement of Artificial Intelligenceconference on Human Computation and Crowdsourcing.
• Goel, A., Lee, D.T. (2014). Large-scale decision-making via small group interactions: the importance of triads. Appeared in the Workshop on Social Computing and User Generated Content 2013. Also will appear in the Workshop on Computational Social Choice 2014.
• Aitamurto, T., & Landemore, H. (2013). Democratic participation and deliberation in crowd sourced legislative processes: the case of the law on off-road traffic in Finland. Communities and Technologies: Workshop on Large-Scale Idea Management and Deliberation Systems. 2013. ACM.
• Aitamurto, T. (2012). Crowdsourcing for democracy: New era in policy-making. Committee for the future, Parliament of Finland. 2012.
• Dandekar, P., Goel, A., & Lee, D. T. (2013) Biased Assimilation, Homophily, and the Dynamics of Polarization. Proceedings of the National Academy of Sciences, March 2013. Also appeared as an extended abstract at the Conference on Web and Internet Network Economics 2012.
• Goel, A., Lee, D. T. (2012). Triadic Consensus: A Randomized Algorithm for Voting in a Crowd. Conference on Web and Internet Network Economics 2012. Also appeared in the Workshop on Social Computing and User Generated Content 2012.