The Eighth International Conference on Algorithmic Decision Theory has been held on October 14-16, 2024 in the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) at Rutgers University, Piscataway, NJ, USA. The general chairs have been David Pennock and Lirong Xia, and the program chairs have been Rupert Freeman and Nicholas Mattei. The program has included 26 papers on topics such as game theory and decision making, preference theory, voting theory, as well as allocations, matching, clustering, and facility location. Furthermore, ADT 2024 has featured three invited talks: Jenn Wortman Vaughan (Microsoft Research) has explored the impact of uncertainty expression on decision making with generative AI, Tracy Liu (Tsinghua University) has discussed economic rationality of humans and AI, and Hervé Moulin (University of Glasgow) has shown how to divide a commons with tight guarantees. As in previous years, the conference proceedings were published as a volume of Springer’s Lecture Notes of Artificial Intelligence.

The Seventh International Conference on Algorithmic Decision Theory has been held on November 3-5, 2021 in Toulouse, France as a hybrid conference. The program chairs have been David Rios Insua and Dimitris Fotakis and the local organizing committee consisted of Umberto Grandi, Sylvie Doutre, Laurent Perrussel, Pascale Zaraté, and Rachael Colley. A bit more than two third of the participants physically met onsite at the University of Toulouse 1 Capitole in a spacious auditorium while respecting all sanitary measures. The conference was preceded by a PhD day and thus allowed a large number of PhD students to participate at this event. The conference program included three invited talks by Edith Elkind, Christophe Labreuche, and Battista Biggio as well as twenty-seven regular talks. The talks covered topics such as preference elicitation and modeling, preference aggregation, computational social choice, voting, coalition formation, fair division and resource allocation, stable matchings, and participatory budgeting. The conference proceedings have been published as Volume 13023 of the Lecture Notes in Artificial Intelligence series.

The Sixth International Conference on Algorithmic Decision Theory has been held on October 25-27, 2019 at Duke University, Durham, NC, USA. The conference has been organized by Vince Conitzer, Sasa Pekec, Alexis Tsoukiàs, and K. Brent Venable. As the previous editions, the conference has brought together researchers and practitioners coming from diverse areas of Artificial Intelligence, Computer Science, Economics, and Operations Research in order to improve the theory and practice of modern decision support. The conference featured three invited talks, a tutorial, and nineteen regular presentations. The topics included preference elicitation and aggregation, voting, mechanism design and games, decision making over complex domains, and various applications. The conference proceedings have been published as Volume 11834 of the Lecture Notes in Artificial Intelligence series.

The Fifth International Conference on Algorithmic Decision Theory has been held on October 25 - 27, 2017 in Luxembourg and has been organized by Raymond Bisdorff (conference chair) and Jörg Rothe (program chair). The conference provided a multi-disciplinary forum to discuss algorithmic challenges of modern decision support system. The twenty-five papers covered topics such as preferences and multi-criteria decision aiding, decision making and voting, game theory and decision theory, and allocation and matching. Three invited talks provided interesting insights into novel paradigms for mechanism design, decision making in presence of the Internet of Things, and deceased organ matching. The conference furthermore included a poster session, an excellent banquet, and was preceded by a doctoral consortium. The conference proceedings have been published as Volume 10576 of the Lecture Notes in Artificial Intelligence series.