Causality in Extremes

Causality in Extremes

Date: February 12 - 16, 2024.

Location: Campus Uni Mail, Université de Genève, Geneva, Switzerland. 

Venue: Mini-courses and lectures will be in room Uni Mail MR060.

Streaming: The Workshop and Mini-Courses will be streamed on Zoom. To follow them from abroad please register by sending an email to gsem-causality-extremes@unige.ch (include your name and affiliation). 

Deadlines:  Registration for Workshop and/or Mini-Courses: October 31, 2023. Abstract submission will open later.

Registration: There is no registration fee, but in-person participants will be selected based on their profile and interest in the workshop. There is the possibility of presenting a poster, which can be indicated during the registration process. 

Invited speakers: 

• Carlos Améndola (TU Berlin)

• Manuela Brunner (ETH Zürich)

• Gloria Buriticá (University of Geneva)

• Abdelaati Daouia (Toulouse School of Economics)

• Erich Fischer (ETH Zürich)

• Nicola Gnecco (University of California, Berkeley)

• Leonard Henckel (University College Dublin)

• Niki Kilbertus (TU Munich)

• Jonathan Koh (University of Bern)

• Linda Mhalla (EPFL)

• Philippe Naveau (LSCE)

• Niklas Pfister (University of Copenhagen)

• Frank Röttger (TU Eindhoven)

• Xinwei Shen (ETH Zürich)

• Sebastian Sippel (University of Leipzig)

• Mats J. Stensrud (EPFL)

• Stijn Vansteelandt (Ghent University)

• Alexander J. Winkler (Max Planck Institute for Biogeochemistry)

• Johanna Ziegel (University of Bern)

• Jakob Zscheischler (Helmholtz Centre for Environmental Research - UFZ)

Organizers: Gloria Buriticá (UNIGE), Sebastian Engelke (UNIGE), Jonas Peters (ETH Zürich), Frank Röttger (TU Eindhoven).

Our aim is to bring together researchers from the fields of extremes, causality and applied fields (e.g., climate and environmental sciences) to foster discussions on pressing research questions, such as

• How to properly define causal effects in extremes?

• Which frameworks for causality and extremes already exist?

• What are the causal extreme value questions in domain sciences?

• How to do conditional independence testing for extremes?

• What are suitable benchmark data sets?

• Estimating extremal behavior from data is hard. Estimating causal structure from data is hard. Does this make estimation of causal structures in extremes impossible?

• etc.

• Young researchers can apply for funding that covers shared-room accommodation in Geneva, and breakfast and lunches during the entire week.

• Eligible candidates are young researchers in statistics, machine learning, climate science or a related field with a keen interest in the conference topics.

• To apply, fill in the registration form and provide a CV and a reference's contact details. The reference should send us a two-line endorsement at gsem-causality-extremes@unige.ch before November 7, 2023.

• Deadline: October 31, 2023.