TANGO Project partners contributed substantially to ECML PKDD 2025 (Porto, 15–19 September 2025), showcasing research excellence and community leadership across two workshops and one conference track.
WorkshopS highlights
🔷 Hybrid Human-Machine Learning and Decision Making (HLDM’25)
TANGO researchers co-organised the third edition of the HLDM workshop, advancing methods for effective human–AI teaming, explainability, and decision support. The event fostered exchange between academic and industrial stakeholders on hybrid intelligence and rigorous evaluation.
🔷 AIDEM 2025 – Artificial Intelligence, Data Analytics and Democracy
Co-located with ECML-PKDD, AIDEM 2025 convened scholars and practitioners to discuss AI’s implications for democratic processes, online information integrity, and governance. The workshop featured an invited talk by Prof. Matteo Magnani (Uppsala University) and sessions on disinformation, content moderation, algorithmic accountability, and citizen-centred oversight of AI.
Nectar Track: contributions at the interface of disciplines
TANGO Project partners also supported the Nectar Track, which provides concise overviews of recent advances originally published in other venues, helping bridge communities and accelerate knowledge transfer.
Key figures shared by the track chairs:
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Submissions: 52 (plus 1 withdrawn)
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Accepted oral + poster: 30 (57%)
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Accepted poster: 16 (31%)
Popular topics included bias & fairness, ensemble learning, interpretability & explainability, learning theory, and time series. Nectar presentations were distributed across parallel sessions rather than a single standalone event. Background on the track’s objectives is available on the conference website.
Why this matters for TANGO
Across these fora, TANGO advanced the European agenda for reliable, human-centred, and societally beneficial AI, bringing:
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Methodological innovations (hybrid human–AI decision making)
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Policy-relevant debate (AI & democracy)
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Cross-disciplinary knowledge sharing (Nectar Track)
to Europe’s flagship machine learning and data science conference.
🔗 Useful links
