KDD 2024 – Research Track: Call for Papers
KDD is the premier Data Science conference, hosting both a Research and an Applied Data Science Track. A paper should either be submitted to the Research Track or the Applied Data Science Track but not both. The conference will take place in Barcelona, from August 25 to 29, 2024.
Important Dates
- Abstract Deadline: Feb 1, 2024
- Paper Deadline: Feb 8, 2024
- Author/Reviewer Interaction and Reviewer Discussion: Apr 4-18, 2024
- Notification: May 16, 2024
- Camera-ready: Jun 19, 2024
- Conference: Aug 25-29, 2024
All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone. For an important announcement about future KDDs, please see the end of this CFP.
Submission Site
We will use OpenReview to manage the submissions and reviewing. All listed authors must have an up-to-date OpenReview profile, properly attributed with current and past institutional affiliation, homepage, Google Scholar, DBLP, ORCID, LinkedIn, Semantic Scholar (wherever applicable). Here is information on how to create an OpenReview profile. The OpenReview profile will be used to handle conflict of interest and paper matching. Submissions will not be made public on OpenReview during the reviewing period.
Abstracts and papers can be submitted through OpenReview.
Scope
For the research track, we invite submission of papers describing innovative research on all aspects of knowledge discovery and data science, ranging from theoretical foundations to novel models and algorithms for data science problems in science, business, medicine, and engineering. Visionary papers on new and emerging topics are also welcome, as are application-oriented papers that make innovative technical contributions to research. Topics of interest include, but are not limited to:
- Data Science: Methods for analyzing social networks, time series, sequences, streams, text, web, graphs, rules, patterns, logs, IoT data, spatio-temporal data, biological data, scientific and business data; recommender systems, computational advertising, multimedia, finance, bioinformatics.
- Big Data: Large-scale systems for data analysis, machine learning, optimization, sampling, summarization; parallel and distributed data science (cloud, map-reduce, federated learning); novel algorithmic and statistical techniques for big data; algorithmically-efficient data transformation and integration.
- Foundations: Models and algorithms, asymptotic analysis; model selection, dimensionality reduction, relational/structured learning, matrix and tensor methods, probabilistic and statistical methods; deep learning, transfer learning, representation learning, meta learning, reinforcement learning; classification, clustering, regression, semi-supervised learning, self-supervised learning, few shot learning and unsupervised learning; personalization, security and privacy, visualization; fairness, interpretability, ethics and robustness.
Submission Guidelines
Deadlines. The submission deadlines are strict and no extensions, regardless of circumstances, will be allowed. Placeholder or dummy abstracts are forbidden.
Authorship. The ACM has an authorship policy stating who can be considered an author in a submission as well as the use of generative AI tools. Every person named as the author of a paper must have contributed substantially to the work described in the paper and/or to the writing of the paper and must take responsibility for the entire content of a paper.
- Maximum authorship. In the research track, the number of submissions allowed per author is limited to 7 (seven) maximum. If more than 7 papers are submitted with the same person listed as an author, the additional papers submitted after the first 7 by submission id, will be desk-rejected.
- Authorship changes. The full list of author names, including the ordering, must be finalized at the point of submission. There cannot be any addition, removal, or reordering of authors after submission time. The only changes allowed are the correction of spelling mistakes or new affiliation.
Anonymity. The review process will be double-blind. The submitted document should omit any author names, affiliations, or other identifying information. This may include, but is not restricted to acknowledgments, self-citations, references to prior work by the author(s), and so on. Please use the third-person to refer to your own prior work. You may explicitly refer in the paper to organizations that provided datasets, hosted experiments, or deployed solutions and tools.
Formatting Requirements. Submissions must be in English, in double-column format, and must adhere to the ACM template and format (also available in Overleaf); Word users may use the Word Interim Template. The recommended setting for LaTeX is:
\documentclass[sigconf,anonymous,review]{acmart}
Submissions must be a single PDF file: 8 (eight) pages as main paper, followed by references and an optional Appendix that has no page limits. The Appendix can contain details on reproducibility, proofs, pseudo-code, etc. The first 8 pages should be self-contained, since reviewers are not required to read past that.
Originality and Concurrent Submissions. Submissions must present original work—this means that papers under review at or published/accepted to any peer-reviewed conference/journal with published proceedings cannot be submitted. Submissions that have been previously presented orally, as posters or abstracts-only, or in non-archival venues with no formal proceedings, including workshops or PhD symposia without proceedings, are allowed. Authors may submit anonymized work that is already available as a preprint (e.g., on arXiv or SSRN) without citing it. The ACM has a strict policy against plagiarism, misrepresentation, and falsification that applies to all publications.
Ethical Use of Data and Informed Consent. Authors are encouraged to include a section on the ethical use of data and/or informed consent of research subjects in their paper, when appropriate. You and your co-authors are subject to all ACM Publications Policies, including ACM’s Publications Policy on Research Involving Human Participants and Subjects (posted in 2021). Please ensure all authors are familiar with these policies.
Please consult the regulations of your institution(s) indicating when a review by an Institutional Ethics Review Board (IRB) is needed. Note that submitting your research for approval by such may not always be sufficient. Even if such research has been approved by your IRB, the program committee might raise additional concerns about the ethical implications of the work and include these concerns in its review.
Submissions that do not follow these guidelines or do not view or print properly, will be desk-rejected.
Reviewing Process
Reviewing. Each submission will receive at least three independent reviews, overseen by an Area Chair (AC). At least one author per submission should commit to be a reviewer and submit all their reviews on time. If an author of a submission does not submit all the reviews in time for the rebuttal stage, no author of that submission will see the reviews of that submission during the rebuttal stage.
Rebuttal. Authors will have the chance to provide a response to the reviews during an author-reviewer discussion period. The ACs will consider the authors’ responses to the points raised by the reviewers to inform acceptance decisions.
Decision. A range of factors including technical merit, originality, potential impact, quality of execution, quality of presentation, related work, reproducibility of results, and ethics, will be used by the ACs to make a recommendation. The PC Chairs will make the final decisions.
Transparency. By submitting paper(s) to KDD 2024, the authors agree that the reviews, meta-reviews, and discussions will be made public in OpenReview for all accepted papers.
Conflict of Interest (COI) Policy
All authors and reviewers must declare conflicts of interest in OpenReview. A domain conflict (entered in Education & Career History) must be declared for employment at the same institution or company, regardless of geography/location, currently or in the last 12 months. A personal conflict should be declared when the following associations exist:
- candidate for employment at the same institution or company
- co-author on book/paper or co-PI on a funded grant/research proposal in the last 24 months
- active collaborator
- family relationship or close personal relationship
- graduate advisee/advisor relationship, regardless of time elapsed since graduation
- deep personal animosity
In general, we expect authors, PC, the organizing committee, and other volunteers to adhere to ACM’s Conflict of Interest Policy as well as the ACM’s Code of Ethics and Professional Conduct.
Publication and Presentation Policies
Publication. All accepted papers will be allowed the same maximum page length in the proceedings (12 pages, of which 9 are content pages), which will be published by ACM and will be accessible via the ACM Digital Library. That is, only 3 pages for the references and Appendix are allowed for all accepted papers. Accepted papers will require a further revision to meet the requirements of the camera-ready format required by ACM. Camera-ready versions of accepted papers can and should include all information to identify authors, and should acknowledge any funding received that directly supported the presented research. The rights retained by authors who transfer copyright to ACM can be found here.
Reproducibility. Authors are strongly encouraged to make their code and data publicly available after the review process. We are encouraging the (optional) use of the “Artifacts Available” badge in ACM’s Digital Library. If you release any code, dataset, or similar artifact to accompany your paper, and host it in a publicly available, archival repository for research artifacts that provides a Document Object Identifier (DOI), you are welcome to apply for this badge. A special subcommittee will check the artifacts of all accepted papers for availability and relatedness to the paper after the acceptance notification.
Registration. To be included in the proceedings, every accepted paper must be covered by a distinct conference registration, e.g., two multi-authored papers require two registrations, even if they have overlapping authors. This registration must be Full Conference (5-day) or Main Conference (3-day) registration, at the standard (non-student) in-person rate, payment of which must be completed by the camera-ready deadline. This registration requirement applies universally, regardless of attendance or presentation mode.
Presentation. Every accepted paper must be presented at the conference. No-show papers may be withdrawn from the proceedings.
Official Publication Date. The official publication date is the date the proceedings are made available in the ACM Digital Library. This date for KDD 2024 is on or after August 25, 2024. The official publication date affects the deadline for any patent filings related to published work.
Program Committee Co-Chairs
Email: KDD24-pc-chairs@acm.org
Flavio Chierichetti (Sapienza University of Rome)
Danai Koutra (University of Michigan, Ann Arbor / Amazon)
Ravi Kumar (Google)
KDD 2025
Going forward, KDD will have multiple submission deadlines per year. KDD 2025 will have two deadlines, one on August 8, 2024 and another on February 8, 2025 (with abstract deadlines a week before the full paper submission deadlines). More details will be posted soon. Email: KDD25-pc-chairs@acm.org