# Call for Tutorials
The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) will take place in Hong Kong, China, on June 9-12, 2026. We invite proposals for half-day (3 hours) tutorials from active researchers in both academia and industry who are experienced and engaging presenters. Ideally, a tutorial will cover the state-of-the-art research, development, and applications in a specific data mining domain, to stimulate and facilitate future work. Tutorials on interdisciplinary areas, novel and fast-growing directions, and significant applications are highly encouraged.

## Important Dates
Proposal due: February 10, 2026
Tutorial notification: February 28, 2026
Submission of tutorial notes: April 25, 2026
*All deadlines are 23:59 Pacific Standard Time (PST)

## Proposal
Formatting Template: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

All the Manuscripts must be prepared and submitted in accordance with the above format. Usage of other formats may lead to disqualification of paper for the conference.

A tutorial proposal should include the following and should not exceed 5 pages excluding references:

## Title
Abstract
Tutorial outline, including background, goals and objectives
Presenters' name, affiliation, address, email, phone
A biographical sketch of the presenter(s)
References
A list of up to 20 most important references that will be covered in the tutorial.

## Submission
Please prepare a PDF (maximum five pages) that contains the aforementioned contents and send it to pakdd2026.tutorial@gmail.com.

Proposals will be evaluated by the tutorial co-chairs based on merit and relevance. The tutorial presenters will be required to provide comprehensive tutorial notes prior to the event, which will be published on the PAKDD website. Tutorials are expected to be scheduled on the day before the main PAKDD conference, June 9, 2026. All presenters named in the proposal are expected to attend physically to present the tutorial. For each accepted tutorial proposal, the PAKDD organizing committee may provide support for the tutorial lecturer attendance in the form of ONE Workshop, Tutorial, or Consortium Only (i.e. 9 June only) registration to the conference. Tutorial lecturers should contact the local team at pakdd2026.reg@gmail.com for obtaining the complimentary registration with specific tutorial and lecturer information.

## Tutorial Co-Chairs of PAKDD2026
Jianliang Xu Hong Kong Baptist University
Gao Cong Nanyang Technological University
Sinno Jialin Pan Chinese University of Hong Kong
pakdd2026.tutorial@gmail.com


# Call for Applications - Doctoral Consortium
The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) will take place in Hong Kong SAR, China, on June 9-12, 2026. The PAKDD2026 organizing committee invites students to apply for the doctoral consortium. The Doctoral Consortium (DC) provides an opportunity for doctoral students to discuss and explore their research interests and career objectives with a panel of established researchers in knowledge discovery and data mining. Doctoral students expect to interact with other researchers through participation in conference events and receive feedback on their current research and guidance on future research directions.

All PhD students are welcome to apply! PAKDD 2026 will be held exclusively in person. All accepted presentations must be delivered on-site.

## Important Dates
Submission Deadline: February 10, 2026
Acceptance Notification: March 6, 2026
Submission of Camera Version: March 25, 2026
*All deadlines are 23:59 Pacific Standard Time (PST)

## Application Instructions
Submission Materials

1. Cover Sheet
A one-page information sheet that includes the following:

Your full name
Email address
Affiliation: department, university, country
Personal home page (URL)
(Optional) Your gender
Country of Citizenship
Are you a member of an underrepresented minority ethnic group? If so, please specify.
Expected graduation date
Your thesis advisor's full name
Your thesis advisor's contact details (title, department, affiliation, and email address)
List of up to 5 keywords to help us select reviewers for your application
2. Thesis Summary
The summary (maximum three pages) should include the thesis title, the research questions being investigated, significance of this problem, key challenges, and important related work. Describe the proposed research plan and anticipated thesis contribution. Include a brief timeline and the planned work in your dissertation study.

Remember that the audience for your thesis summary includes people who are knowledgeable about data science, but are not necessarily experts in the specific topic of your thesis. Introduce the content at a high level so that the general data science researchers can understand, but also include sufficient low-level details so that the experts will appreciate your unique contribution.

The thesis summary is limited to three pages, in Springer format, including references.

Springer LNCS/LNAI manuscript submission guidelines and formatting template

All the manuscripts must be prepared and submitted in accordance with the above format. The use of generative AI models (e.g., large language models (LLMs)) must be explicitly disclosed and explained in the submission form. LLMs may only be employed for grammatical error correction. If generative AI is used at any stage of the paper-writing process, the authors should assume full responsibility for all content, including checking for plagiarism and correctness of the entire submission. Misuse of LLMs may lead to disqualification of application for the DC.

3. Curriculum Vita
Include a CV (at most one page) that describes your background, relevant experience (e.g., research, education, employment), and a list of your publications (including those under review and planned to be submitted) if you have any.

4. Advisor's Support Letter
The letter should describe the status of your thesis research and progress through your graduate program.

5. (Optional) Questions
A short (at most one-page) statement of what you expect to gain from presenting and participating in the DC and what specific questions you may have.

Please combine the documents into one PDF document with at most seven pages in total (1-page cover sheet, 3-page thesis summary, at most 1-page CV, 1-page support letter from advisor, and 1-page questions).

Note that DC thesis summaries will not be included in the conference proceedings but are available on the PAKDD2026 webpage. All participants selected to present their work at the Doctoral Consortium are expected to be present throughout the consortium.

All doctoral consortium applications should be submitted to https://cmt3.research.microsoft.com/PAKDDDC2026

## Doctoral Consortium Co-Chairs of PAKDD2026
Xiao Huang Hong Kong Polytechnic University
Byron Choi Hong Kong Baptist University