In this survey, we summarize recent developments in research fueled by the growing adoption of automated bidding strategies in online advertising. We explore the challenges and opportunities that have arisen as markets embrace this autobidding and cover ...

Matching, capturing allocation of items to unit-demand buyers, or tasks to workers, or pairs of collaborators, is a central problem in economics. Indeed, the growing prevalence of matching-based markets, many of which online in nature, has motivated much ...

This note provides a survey for the Economics and Computation community of some recent trends in the field of information elicitation. At its core, the field concerns the design of incentives for strategic agents to provide accurate and truthful ...

Which varieties or brands of a product should a retailer stock on its shelf? Carrying a large variety caters to more customers' needs, but could cannibalize the sales of high-end brands and also cause an inventory nightmare. Assortment optimization aims ...

We provide an overview of research on causal inference in the presence of strategic agents. Work in this area uses tools from econometrics, statistics, machine learning, and game theory to infer causal relationships between treatments and outcomes of ...

Traditionally, AI has been modeled within economics as a technology that impacts payoffs by reducing costs or refining information for human agents. Our position is that, in light of recent advances in generative AI, it is increasingly useful to model AI ...

Policymakers are often concerned about inequalities in the markets they control. In this letter, I argue that mechanism design has not responded sufficiently to the need for a comprehensive theory of inequality-aware market design. I review some of my ...

Customers can access hundreds of reviews for a single product in online marketplaces. Buyers often use reviews from other customers that share their type---such as height for clothing or skin type for skincare products---to estimate their values, which ...

This letter provides an overview of our recent work on COVID-19 testing mechanisms that appeared at EC'23. Large-scale testing is crucial in pandemics but resources are often prohibitively constrained. We study a scenario in which a population under ...

I argue that further integration between Decision Theory and the methods of quantifying complexity and evaluating performance in Computer Science is valuable. I review [Lanzani 2024] as an illustration of this combination.

The fourth annual ACM SIGecom Winter Meeting took place on February 15, 2024. Organized by Sigal Oren and Ran Shorrer, this year's meeting brought together researchers from economics, computer science, and adjacent fields to focus behavioral models. The ...

Please send solutions to the author by e-mail, with the title of this puzzle in the subject header. By agreement with the editors, the best solution will be published in the next issue of SIGecom Exchanges, provided that that solution is of sufficiently ...

This is a solution to Vincent Conitzer's puzzle "Communicating to Plan Noam Nisan's 60th Birthday Workshop", which appeared as below in the July 2022 issue of SIGecom Exchanges.

Michael, Moshe, and Shahar---i.e., a constant number of organizers---are ...

A surge of recent work has focused on analyzing the performance of algorithms guided by predictions, aiming to enhance their worst-case performance guarantees with improved guarantees when the predictions are accurate. This "learning-augmented" framework ...

We discuss the application of deep reinforcement learning to economic domains in general, and to bargaining on eBay in particular.

Models in economics and game theory often assume that people behave as if they can solve very complex problems, which can lead to misleading conclusions. To address this, I propose that we supplement the theory of rational choice with a theory of ...

In 1979, Weitzman introduced Pandora's box problem as a framework for sequential search with costly inspections. Recently, there has been a surge of interest in Pandora's box problem, particularly among researchers working at the intersection of ...

The second annual ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'22) was held from October 6-9 at George Mason University in Arlington, VA, USA. This was the first in-person version of the conference: the first ...

The third annual ACM SIGecom Winter Meeting took place on February 22, 2023. Organized by Scott Kominers and Matt Weinberg, this year's meeting brought together researchers from economics, computer science, and adjacent fields to focus on Web3, ...

In his winter meeting tutorial, Juba Ziani presented an overview of recent advancements in the rapidly evolving field of algorithmic fairness. Dr. Ziani is an assistant professor at the School of Industrial and Systems Engineering at Georgia Institute of ...