Nectar Track —————— The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), the flagship European machine learning and data science conference (15-19 September 2025), invites submissions to the Nectar Track.
The goal of the Nectar Track is to offer conference attendees a compact overview of recent scientific advances at the frontier of machine learning and data mining with other disciplines, as already published in related conferences and journals. For researchers from other disciplines, the Nectar Track offers a place to present their work to the ECML-PKDD community and to raise the community’s awareness of AI and data science results and open problems in their field. We invite senior and junior researchers to submit summaries of their own work published in various fields, including but not limited to artificial intelligence, generative AI, big data analytics, bioinformatics, cyber security, games, computational linguistics, natural language processing, large language models, information retrieval, computer vision and image analysis, geoinformatics, health informatics, database theory, human-computer interaction, ethical aspects of artificial intelligence, information and knowledge management, robotics, pattern recognition, statistics, social network analysis, theoretical computer science, uncertainty in AI, network science, complex systems science, and computationally oriented sociology, economy and biology, as well as critical data science/studies.
Acceptance criteria will also take into account the publication date (no more than 18 months old) and the quality of the conference venue or journal. The authors of accepted papers are expected to attend the conference and present their work. Accepted Nectar contributions will be presented as oral presentations but not included in the conference proceedings.
Key Dates and Deadlines ———————————— EXTENDED Submission Deadline: ***** JULY 7th, 2025 ***** Author Notification: July 21st, 2025
*All deadlines expire on 23:59 AoE (UTC – 12)
Submission Guidelines ———————————— Submission site: cmt3.research.microsoft.com/ECMLPKDD2025
Submissions must be extended abstracts of 2-4 pages (including references) and should be based on published work. The corresponding original publication(s) should be clearly indicated. The relevance of the work in the context of machine learning and data mining should be clearly motivated. Submissions should be formatted according to the Author instructions, style files and copyright form that can be found in the “Lecture Notes in Computer Science” (LNCS) Series. submitted through the conference Microsoft CMT submission site (select from the menu the Nectar track).
Contact —————— For further information, please see the conference website or contact: ecml-pkdd-2025-nectar-track-chairs@googlegroups.com
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt — Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt

Dear Colleagues,
Following requests from the community, we are extending the submission deadline for the Workshop on Responsible Healthcare using Machine Learning (RHCML 2025), co-located with ECML PKDD in Porto, Portugal.
New submission deadline: June 26, 2025 (23:59 AoE)
Workshop Details: September 19, 2025 | @ ECML PKDD, Porto, Portugal | rhcml.github.io/
Submission Options:
Full Papers: max 16 pages for comprehensive research Short Papers: max 8 pages for focused contributions Extended Abstracts: max 4 pages for early-stage work or position papers Submit via: CMT → Track: Workshop on Responsible Healthcare using Machine Learning (RHCML)
We welcome submissions on a wide range of topics addressing the responsible use of machine learning in healthcare, including but not limited to: Fairness and bias mitigation in healthcare AI, privacy-preserving machine learning (federated learning, differential privacy), explainability and interpretability, responsible use of LLMs in clinical contexts, human-in-the-loop systems, and ethical implications of healthcare AI.
The healthcare AI community needs diverse perspectives to tackle these challenges responsibly. Whether you’re from machine learning, healthcare, public policy, or clinical practice, we welcome your interdisciplinary contributions.
Questions? Contact us at rhcml-org@googlegroups.com or reach out to me directly at pratik.gajane@gmail.com.
We look forward to your valuable contributions to this important conversation!
Best regards, Pratik Gajane On behalf of the RHCML 2025 Organizing Committee
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt
— Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt

Nectar Track —————— The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), the flagship European machine learning and data science conference (15-19 September 2025), invites submissions to the Nectar Track.
The goal of the Nectar Track is to offer conference attendees a compact overview of recent scientific advances at the frontier of machine learning and data mining with other disciplines, as already published in related conferences and journals. For researchers from other disciplines, the Nectar Track offers a place to present their work to the ECML-PKDD community and to raise the community’s awareness of AI and data science results and open problems in their field. We invite senior and junior researchers to submit summaries of their own work published in various fields, including but not limited to artificial intelligence, generative AI, big data analytics, bioinformatics, cyber security, games, computational linguistics, natural language processing, large language models, information retrieval, computer vision and image analysis, geoinformatics, health informatics, database theory, human-computer interaction, ethical aspects of artificial intelligence, information and knowledge management, robotics, pattern recognition, statistics, social network analysis, theoretical computer science, uncertainty in AI, network science, complex systems science, and computationally oriented sociology, economy and biology, as well as critical data science/studies.
Acceptance criteria will also take into account the publication date (cutoff date—up to 18 months old) and the quality of the conference venue or journal. The authors of accepted papers are expected to attend the conference and present their work. Accepted Nectar contributions will be presented as oral presentations but not included in the conference proceedings.
Key Dates and Deadlines ———————————— Submission Deadline: June 30th, 2025 Author Notification: July 14th, 2025
*All deadlines expire on 23:59 AoE (UTC – 12)
Submission Guidelines ———————————— Submission site: cmt3.research.microsoft.com/ECMLPKDD2025
Submissions must be extended abstracts of 2-4 pages (including references) and should be based on published work. The corresponding original publication(s) should be clearly indicated. The relevance of the work in the context of machine learning and data mining should be clearly motivated. Submissions should be formatted according to the Author instructions, style files and copyright form that can be found in the “Lecture Notes in Computer Science” (LNCS) Series. submitted through the conference Microsoft CMT submission site (select from the menu the Nectar track).
Contact —————— For further information, please see the conference website or contact: ecml-pkdd-2025-nectar-track-chairs@googlegroups.com
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt — Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt

Have you ever considered participating in the leading European forum for machine learning research, best practices, and key developments across the field?
ECMLPKDD 2025, taking place from September 15 to 19 in Porto, is your opportunity to engage in discussions with top experts and thought leaders in machine learning and data mining.
Don’t miss the chance to be part of this major event — register now in this link ecmlpkdd.org/2025/ to secure the best rates!
Best Regards,
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt
— Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt