Call for Lecture-Style Tutorials


Continuing the tradition of bridging the gap between research and real-world applications, we are excited to announce a call for proposals for lecture-style tutorials at KDD 2024. A lecture-style tutorial will cover the state-of-the-art research, development and applications in a specific data mining related area, and stimulate and facilitate future work.

We invite original tutorial contributions in all aspects of the data science and machine learning lifecycle, including but not limited to: data cleaning and preparation, data transformation, mining, inference, learning, scalability, explainability, data privacy, generative models and especially how they relate to data science, and dissemination of results.

Tutorials on interdisciplinary directions, bridging scientific research and applied communities, novel and fast growing directions, and significant applications are highly encouraged. We encourage tutorials in areas that may be different from the usual KDD mainstream, but are still very much related to the KDD mission and objectives of gaining insight from data.

In order to maximize the impact and visibility of accepted tutorials, as well as recognize the high-quality of the presented tutorials, this year we are introducing the survey paper component in the tutorial submission, an 8-page paper which will accompany the tutorial and will be published as part of KDD 2024 proceedings.

All tutorials will be part of the main conference technical program, and are available free of charge to the attendees of the conference.

Lecture-style tutorials will be 3 hours in duration.

See examples from past lecture-style tutorials: KDD 2021, KDD 2022, KDD 2023

Key Dates

All deadlines will be at 11:59 PM Pacific Standard Time.

Tutorial Proposal

We invite proposals from researchers, creators, experienced practitioners and tutors of data mining systems and tools. Each submission must include the following documents, containing the following details respectively:

  1. Abstract
    1. Include a descriptive title and a concise abstract of the proposed tutorial
  2. Tutorial Description and Logistics
    1. Title
    2. Target audience and prerequisites for the tutorial (e.g. audience expertise)
    3. Tutors (name, affiliation, email, address, phone)
    4. Tutors’ short bio and expertise related to the tutorial (up to 200 words per tutor)
      1. List of in-person presenters, i.e., tutors who will attend KDD and present part of the tutorial
      2. List of contributors, i.e., tutors who will only help prepare the tutorial material
    5. Corresponding tutor with her/his email address
    6. Overlap statement: If the tutorial or a similar/highly related tutorial has been presented before (either by the same author(s) or by others): A list of forums, their event dates and locations, the number of participants, and the similarities/differences of prior tutorials to the one proposed for prior KDDs (up to 100 words for each entry)
    7. Strategies that you plan to employ to encourage audience participation and interactivity throughout the tutorial presentation
    8. A brief discussion of the potential societal impacts of your tutorial
    9. Page limit: 2 pages (excluding references) in KDD 2024 template
  3. Survey Paper
    1. A comprehensive paper (maximum 8 pages) which captures the material covered in the tutorial in survey paper form. This paper will be included in the KDD 2024 proceedings and must follow the same template as the KDD 2024 paper submissions

Submission Information

Proposals should be submitted to under the “Lecture-Style” Track. 

Note that there is a mandatory abstract submission on March 14, 2024 followed by the proposal submission on March 21, 2024. The final proposal submission should contain all three documents listed above (Abstract, Tutorial Description and Logistics, and Survey Paper).

Tutorial Materials

Upon acceptance, the tutors are required to prepare the following materials and submit them by July 10, 2024:

Camera Ready Submission

The camera-ready version of the Survey Paper is due on June 9th 2024

Important Guidelines & Policies

Conditional Acceptances

Tutorial proposal acceptance is conditioned on (a) the prompt delivery of high-quality tutorial materials by the stated deadline of July 10th, and (b) the attendance and presentation in-person of all the stated presenters (see below). Tutorials which fail to meet both conditions may be rejected post-notification.


For each accepted tutorial, we expect all the in-person presenters listed in the tutorial proposal to attend the conference in person and present the tutorial. All the tutorials should be in person, and all presenters must be in person. In case one or more of the presenters cannot attend in person, this will be handled on a case-by-case basis by the organizers who will attempt to work with the tutorial proposers to identify a potential solution, however the default action will be to reject the tutorial if a solution that leads to a high-quality in-person presentation cannot be reached.

Overlap Statement

In the tutorial proposal submission, proposers must make clear whether the proposed tutorial has been presented at some other venue before or whether it is currently being considered to appear at a different venue in parallel to KDD. Even though such overlap or prior presentation does not disqualify a tutorial submission, the proposers should clearly describe the overlap and clarify what (if anything) is different and/or new in the KDD version.

Survey Paper Originality

The survey paper will be published in the conference proceedings by ACM and also appear in the ACM Digital Library. As a result it is a requirement that itself or substantially overlapping versions of it have not been published at another archival venue (e.g., conference with proceedings or a journal). Exceptions include papers at workshops without proceedings, arXiv submissions, and surveys part of technical reports or university theses.

Copyright Information

The rights retained by authors who transfer copyright to ACM can be found here.

Lecture Style Tutorial Co-Chairs 

Albert Bifet (Télécom Paris)

Alessandra Sala (Shutterstock)

Vagelis Papalexakis (University of California Riverside)

Contact email: