Call for Papers: AI For Human Resources and Public Employment Services (AI4HR&PES) Workshop at ECML-PKDD 2026

Dear Colleagues,

We are pleased to announce the Call for Papers for the AI4HR&PES workshop, which will take place in conjunction with ECML-PKDD 2026 in Naples, Italy. This workshop aims to explore the challenges of the contemporary job market and human resources management through data-driven solutions.

Important Dates:
- Paper Submission Deadline: June 5th, 2026 - AoE at 23:59
- Notification of Acceptance: June 26th, 2026 - AoE at 23:59
- Workshop date: September 11th, 2026

Topics of Interest: We invite contributions on all aspects of data-driven solutions or AI in human resources and labor market contexts, including but not limited to:

- Labour market data analysis and classification
- Skill extraction and forecasting
- Detection and inclusion of vulnerable groups in the job market
- Algorithmic fairness and data privacy in labour market applications
- Applications of large language models (LLMs) in HR
- Applications of NLP to the labour market data

We welcome submissions from academia, industry, and government agencies, focusing on both theoretical and practical aspects of the topics mentioned above. We encourage ethical considerations to be explicitly addressed in all contributions.

Accepted paper types include:
1. Recent results published elsewhere.
2. Previously unpublished novel research results.
3. Previously unpublished position papers.
4. Previously unpublished concise surveys.

Submissions are handled via CMT: https://cmt3.research.microsoft.com/ECMLPKDDWT2026/Track/20/Submission/Create Workshop website: https://ai4hrpes.github.io/ecmlpkdd2026/

For any inquiries, please contact us at: [email protected]. We look forward to your contributions and to an engaging workshop!

Best regards,
Alex Mara, on behalf of the AI4HR&PES Workshop Organizing Committee


[cid:28c55738-4730-4346-93e2-24b1dddafebf]

Dr. Alexandru C. Mara

Postdoctoral Researcher

www.dru-mara.github.io<http://www.dru-mara.github.io>



Department of Electronics and Information Systems (ELIS)

Artificial Intelligence and Data Analytics (AIDA) Lab: www.aida.ugent.be<http://www.aida.ugent.be>

Office location: 7th floor, AA Tower
Ghent University - Technologiepark-Zwijnaarde 122 - 9052 Ghent - Belgium

    ----------------------------------------------------------------------------------------
    To unsubscribe from CHI-ANNOUNCEMENTS send an email to:
     mailto:[email protected]

    To manage your SIGCHI Mailing lists or read our polices see:
     https://sigchi.org/operations/listserv/
    ----------------------------------------------------------------------------------------