Call for Lecture-Style Tutorials

Description

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 2026. 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 covering all stages of the data science and machine learning lifecycle, including but not limited to: data cleaning and preparation, data transformation, data mining, inference, learning, scalability, explainability, data privacy, and generative models, with particular emphasis on their roles in data science practice and the effective 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.

All tutorials will be part of the main conference technical program. To alleviate the burden on tutors, we do not require the survey paper in the tutorial submission like the past two years. Lecture-style tutorials will be 3 hours in duration (half day).

See examples from past lecture-style tutorials: KDD 2023KDD 2024KDD 2025

Key Dates

Abstract submission: March 8, 2026

Full proposal submission: March 15, 2026

Notification: May 6, 2026

Tutorial materials/website: July 1, 2026

Conference: August 9-13, 2026

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 information, containing the following details respectively:

Abstract (in the application form): Include a descriptive title and a concise abstract of the proposed tutorial. 

Tutorial Description Paper (PDF file):

Submission Information

Proposals should be submitted to https://cmt3.research.microsoft.com/KDDTutorials2026

Note that there is a mandatory abstract submission on March 8, 2026 followed by the proposal submission on March 15, 2026.

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

Tutorial Materials

Upon acceptance, the tutors are required to prepare the following materials and submit them by July 1, 2026:

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 1, 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.

Attendance

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.

Copyright Information

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

Lecture Style Tutorial Co-Chairs

Meng Jiang (mjiang2@nd.edu)

U Kang (ukang@snu.ac.kr)

Contact email: KDD26-lecture-style-tutorial-chairs@acm.org