The 15th international conference on Scalable Uncertainty Management (SUM 2022) will take place on October 17-19, 2022, at Université Paris-Dauphine - PSL, in Paris, France.
Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities.
An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference.
NEWS:
Opening of the SUM 2022 conference: Monday, October 17 at 8:30 a.m. (registration+ coffee/tea+"croissants")
The conference will be in-person only at Université Paris-Dauphine, in room Raymond Aron
Strike on Tuesday, October 18
There is a strike call for Tuesday, October 18.
The RATP (Paris public transport network) declares on its website :
"Concerning the call for a one-day strike on Tuesday, October 18, RATP expects the following traffic : Normal or almost normal traffic on all metro and bus lines".
please see for the details: https://www.ratp.fr/infos-trafic
We think that taxis/uber should not be impacted. You have the possibility to rent bikes (vélib: https://www.velib-metropole.fr).
Registration is open. Registration Fees:
Price includes participation at the conference, coffee breaks, lunches, gala dinner and social event.
Confirmed Invited Talks:
- Gabriele Kern-Isberner (Technische Universität Dortmund) - Cognitive Logics, and the Relevance of Nonmontonic Formal Logics for Human-Centred AI
- Silja Renooij (Utrecht University) - Surfing the waves of explanation
- Francesca Toni (Imperial College London) - Learning Argumentation Frameworks
Confirmed Tutorials:
- Denis Bouyssou (CNRS, Université Paris Dauphine)- How to use bibliometric indices (if you really must)
- Tanya Braun (University of Münster) - A Glimpse into Statistical Relational AI: The Power of Indistinguishability
- Jean-Guy Mailly (Université Paris Cité) - On Incompleteness in Abstract Argumentation: Complexity and Expressiveness
- Anne Laurent (Université de Montpellier) - Data Lakes: a new Paradigm for Data Platforms and current Challenges
- Michael Poss (CNRS, Université de Montpellier) - An introduction to discrete robust optimization
- Jeremy Rohmer (BRGM) - Dealing with imperfect knowledge in natural hazard assessments: beyond classical probabilities and challenges
- Diedrich Wolter (University of Bamberg) - Faithful Geometric Models for Integrating Learning and Reasoning
- Christophe Gonzales (Aix Marseille Université) - Decision under uncertainty
Proceedings : Accepted long and short papers will appear in the proceedings published by Springer in the Lecture Notes in Artifical Intelligence (LNAI) series.
Previous SUM proceedings can be found by following this link:
https://link.springer.com/conference/sum
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