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ACM

Twenty-Third ACM Conference on Economics and Computation (EC)

Location: University of Colorado Boulder , United States

Submission deadline: 2/10/2022

Conference dates: 7/11/2022 - 7/15/2022

Research H-index
25

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 5 9 13 6
Computer Science 97 77 173 24
Business and Management 29 2 2 1
Economics and Finance 1 14 19 6

Call for Papers

The ACM Special Interest Group on Electronic Commerce (SIGecom) solicits submissions for presentation at the 23rd ACM Conference on Economics and Computation (EC’22), the premier venue for research at the interface of economics and computer science. Submissions are due on February 10, 2022. The conference website is available here: https://ec22.sigecom.org/

EC’22 is currently planned as a primarily in-person event, taking place from July 11 through July 15, 2022 at the University of Colorado Boulder. Some components (e.g., poster sessions and tutorials) may be held either virtually or in a hybrid format. Presenters of accepted papers who cannot (or do not feel comfortable to) travel will have the option to present their paper virtually. Full details of the call for papers are available here: https://ec22.sigecom.org/call-for-contributions-acm/papers/

Each paper submission must select one of four methodological tracks and up to two content areas as described below. Submissions will be evaluated according track specific criteria, and a Track Chair will ensure that consistent reviewing standards are applied to all papers in a track. For each paper, an Area Chair, who is a content area expert, will shepherd the paper through the review process. The full list of Track Chairs and Area Chairs can be found here: https://ec22.sigecom.org/committees-acm/program-committee/

EC’22 will use the following four tracks:

Theory: Typical papers in this track make progress on existing theoretical problems, propose new ones, or introduce significant new techniques that could be applied more broadly. These papers are often similar in methodology to papers that are published in FOCS, STOC, SODA, ICALP, JACM, Econometrica, JET, TE, or Math of OR. Theory Track Chairs: Robert Kleinberg (Cornell University) and Aaron Roth (University of Pennsylvania)

Applied Modeling: Typical papers in this track propose and analyze novel models that capture real-world phenomena or provide fresh perspectives on previously studied applied problems. These papers are often similar in methodology to papers that are published in Operations Research, Management Science, RAND Journal of Economics, or MSOM. Applied Modeling Track Chair: Gabriel Weintraub (Stanford University)

Empirics: Typical papers in this track draw significant insights from real or synthetic data, through access to new data sources or experiments, or through novel analysis of existing data sources. These papers are often similar in methodology to papers that are published in the Journal of Marketing Research, Management Science, Organization Science, Strategic Management Journal, Experimental Economics, Quantitative Marketing and Economics, Review of Economics and Statistics, or MSOM. Empirics Track Chair: Georgios Zervas (Boston University)

AI: Typical papers in this track study the design or analysis of intelligent agents or intelligent systems, broadly construed. These papers are often similar in methodology to papers that are published in AAAI, IJCAI, NeurIPS, ICML, ICLR, UAI, TARK, AAMAS, AIJ, JAIR, JMLR, or MLJ. AI Track Chair: Kevin Leyton-Brown (University of British Columbia)


EC’22 will use the following areas:

Mechanism design

Auctions and pricing

Market design and matching markets

Contract design

Online platforms and applications

Econometrics, ML, and data science

Equilibria, learning, and dynamics in games

Social choice and voting theory

Social networks and social learning

Fair division

Market equilibria

Crowdsourcing and information elicitation

Privacy, algorithmic fairness, social good, and ethics

Blockchain and cryptocurrencies

Behavioral economics and bounded rationality

Overview

This ranking presents a comprehensive assessment of scientific conferences within the field of Business and Management. Curated by Research.com—a foremost authority in science research across all major disciplines and a trusted source of data on scientific contributions since 2014—this ranking exemplifies both credibility and depth of analysis in evaluating academic events.

The position of each conference in the ranking is determined by a unique bibliometric score formulated by Research.com. This score integrates both the estimated h-index and the number of leading scientists who have contributed to the respective conference over the preceding three years, providing a nuanced measure of a conference’s scientific impact. The Impact Score values referenced in this ranking were gathered as of 2024-11-27, ensuring the data reflects the latest trends in the academic community.

The ranking process encompassed an extensive review of over 216 conferences, meticulously selected following a rigorous evaluation of more than 727 scientific documents authored during the past three years by 2177 prominent and highly respected scientists within Business and Management. This thorough approach highlights the expertise and analytical rigor employed in creating these conference rankings.

For a detailed overview of the methodology and the criteria used in calculating the ranking scores, please refer to our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at Economics and Computation (based on the number of publications) are:

  • S. Matthew Weinberg (12 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Michal Feldman (12 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Yannai A. Gonczarowski (10 papers) absent at the last edition,
  • Itai Arieli (10 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Yakov Babichenko (10 papers) published 2 papers at the last edition, 1 less than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at Economics and Computation (based on the number of publications) are:

  • Stanford University (54 papers) published 16 papers at the last edition, 4 more than at the previous edition,
  • Columbia University (52 papers) published 22 papers at the last edition, 11 more than at the previous edition,
  • Microsoft (52 papers) published 7 papers at the last edition, 1 less than at the previous edition,
  • Harvard University (42 papers) published 8 papers at the last edition, 1 more than at the previous edition,
  • Massachusetts Institute of Technology (34 papers) published 11 papers at the last edition, 2 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 1.46% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 62.96% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.37% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.56% of all publications and 11.11% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Academic Institutions providing Accounting Education Programs in California

Continuing the subject of Economics and also to enhance the interdisciplinary nature of the discipline, it could be insightful to consider the connection between economics and accounting, especially in an educational context. If you are pursuing research in economics and looking for grounding knowledge of accounting, consider enrolling in available academic programs. California has various academic institutions known for their comprehensive business education, including Accounting. Rankings of the **[best accounting programs in California](/education/accounting-schools-in-california)** have been established based on a comprehensive evaluation of the institutions. They take into account factors such as academic reputation, admission selectivity, faculty qualifications, and graduation outcomes to provide a comprehensive ranking of the programs. These programs equip students with technical skills for analyzing, interpreting, and communicating financial information, often intersecting with the principles of economics. The exposure and understanding of these accounting theories and practices could be beneficial for researchers in the Economics and Computation sector. The integration of the diverse fields bolster the interdisciplinary approach towards problem-solving. In turn, it empowers the researchers to examine and interpret economic phenomena from a different lens, thus contributing to a more holistic overview of the field.

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