2025 Decentralization Conference on Artificial Intelligence, Mechanism Design and Human Behavior: Experiments and Theory
Tony Kwasnica
Hello,
This year The College of Social Science and Public Policy at Florida State and the XSFS lab will be hosting the 2025 NBER/CEME Decentralization Conference. We are looking to explore the exciting interactions between mechanism design, experimental economics and artificial intelligence. Please see the call below and do not hesitate to contact us with any questions regarding the conference.
In addition to the conference, Tanya Rosenblat and Tony Kwasnica are editing a volume of Research in Experimental Economics on the topic. Papers submitted to the conference will be given preferred consideration but we also seek contributions that might not be presented.
More information and submissions can be made at https://sites.google.com/view/aiexperimentaleconomics/home
Hope to see you in Tallahassee!
Tony, Tonya, and Scott
Call for Papers
NBER/CEME Decentralization Conference
Artificial Intelligence, Mechanism Design and Human Behavior: Experiments and Theory
Hosted by the College of Social Science and Public Policy at Florida State University and the XS/FS experimental laboratory
April 24-26, 2025
Artificial Intelligence (AI) approaches have garnered substantial popular and academic interest recently. Not the least among those concerns relate to how human behavior will be impacted by AI. Likewise, the experimental economics method has a long history of helping people understand behavior when traditional theoretical models might be lacking. In fact, there are numerous examples of experimental economics research that could be considered foundational to the nascent AI approach. For example, studies on agent traders in markets, models of learning, Turing tournaments, and evolutionary learning are areas where experiments have played a critical role.
Following the 2024 Decentralization Conference it was concluded that “the challenges and opportunities created by AI and distributed ledgers reinvigorate many of the core themes and questions that have animated this conference for the past fifty years. The mechanism design community possesses tools, insights, and theories that can advance our understanding of these technologies and guide their implementation and regulation.” Likewise, the experimental laboratory has played a critical role in examining these mechanisms to determine whether attractive theoretical properties translate to practice and, if not, how mechanism theory might evolve.
The objective of this symposium and to further explore the potential collaborations and contributions between mechanism design theory, experimental economics method and artificial intelligence research. Topics of interests include (but are not limited to):
Human and computer interaction
AI assisted forecasting, decision making, and strategy formation
Behavioral responses to AI agents
AI attempts to mimic human behavior
Design of mechanisms with AI based participants
AI approaches to experiment design
Machine learning approaches to experimental data analysis
Behavior on distributed networks
Researchers from diverse disciplines including economics, computer science, psychology, and sociology are encouraged to attend and potentially submit an extended abstract/paper for consideration. Papers that utilize a mix of theory and experiments or experimental data are of particular interest but purely theoretical or empirical analyses will be considered.
We will accept 8-10 well-developed and promising extended abstracts/papers for presentation at the conference. Invited speakers will have reasonable travel and lodging expenses covered. Since the conference would like to facilitate new research in these areas, a limited number of modest travel grants will be provided to early career scholars or graduate students wishing to attend.
Paper Submission Deadline: January 31, 2025
Final Agenda Announced: February 10, 2025
Local Organizing Committee:
Luke Boosey (Florida State University)
Anthony Kwasnica (Florida State University)
Mark Isaac (Florida State University)
Scientific Committee:
Scott Page (Michigan)
Tanya Rosenblat (Michigan)
Anthony Kwasncia (Florida State)
REE Volume Call
Volume of Research in Experimental Economics
Title/Subtitle: Artificial Intelligence and Experimental Methods
Artificial Intelligence (AI) approaches have garnered substantial popular and academic interest recently. Not the least among those concerns relate to how human behavior will be impacted by AI. Likewise, the experimental economics method has a long history of helping people understand behavior when traditional theoretical models might be lacking. The objective of this edited volume of Research in Experimental Economics is to further explore the potential collaborations and contributions between the experimental economics method and artificial intelligence research.
Researchers from diverse disciplines including economics, computer science, psychology, and
sociology are encouraged to submit papers for consideration. While original research is preferred, retrospective or meta analyses of previous work will be
considered when of high quality and potential impact. For example, surveys of early experimental contributions to the nascent AI literature would be particularly welcome. Likewise, AIs such as large-language models provide unique sandboxes for prototyping experimental
designs and analyzing multi-modal experimental data from human participants (such as
unstructured chat logs, audio and video). Articles that demonstrate the state of the art and make it accessible to experimental researchers would be particularly interesting as we expect such contributions to have a high impact as this area develops.
Topics of interests include (but are not limited to):
● Piloting experimental design using large-language model simulators
● AI attempts to mimic human behavior
● AI approaches to experimental data analysis
● Human and computer interaction
● Behavioral responses to AI agents
● Design of mechanisms with AI based participants
● AI assisted forecasting and decision making
● Behavior on distributed networks
Presenters at the 2025 NSF/CEME Decentralization Conference will be invited to submit a full length version of their paper no later than 6 weeks following the conference for consideration for publication in an edited volume of Research in Experimental Economics. Authors not wishing to attend the conference but seeking publication in this volume are asked to submit an extended abstract/paper no later than X with anticipated initial signal of acceptance by Y. If you have any questions about whether a particular topic would be a good fit for this volume, we invite you to contact the co-editors (emails below) for feedback.
Following submission, papers will undergo at least one round of review with anticipation of final acceptance of papers no later than September 15, 2025.
Co-Editors of volume in Research in Experimental Economics on Artificial Intelligence
Tanya Rosenblat (University of Michigan)
Anthony Kwasnica (Florida State University)
More information and submissions available at: https://sites.google.com/view/aiexperimentaleconomics/home