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INPUT Research Meetings

Description

The monthly research meetings are dedicated to a specific topic that concerns the application of statistics, data science, and computational science in medicine, epidemiology, or the natural sciences.

Participants

The meetings are aimed at a core group of researchers from ISPM, CSH, ARTORG, and IMSV. INPUT Research Meetings are a satellite event of the Bern Data Science Initiative (BeDSI) and researchers from other institutes and faculties are welcome to participate. Please contact [email protected] for further details or if you would like to be added to our mailing list.

Upcoming meetings

Date Time Location Topic Presenter
TBD 10:00-11:30 TBD Estimating Failure Probabilities: An Energy-Based Model Approach [Dr. Lea Friedli] (IMSV)

Past meetings

Date Time Location Topic Presenter
November 3, 2023 10:00-11:30 Hybrid: 324, Mittelstrasse 43 (Zoom) Mathematical Modeling of the Spread of Infectious Diseases in Humans and Animals Prof. Angel Manuel Ramos del Olmo] (Universidad Complutense de Madrid)
June 9, 2023 10:00-11:30 Hybrid: 320, Mittelstrasse 43 (Zoom) Non-Markovian modelling and COVID-19 epidemic Bastien Reyné (ETE modelling team, University of Montpellier, CNRS, IRD)
April 14, 2023 10:00-11:30 Hybrid: 320, Mittelstrasse 43 (Zoom) Multilocus modelling approaches in evolutionary epidemiology Dr. David McLeod (IEE)
February 3, 2023 10:00-11:30 Hybrid: 120, Mittelstrasse 43 (Zoom) Quantifying and reducing uncertainties on target parameter regions with Gaussian Process models Prof. Dr. David Ginsbourger (IMSV)
December 16, 2022 10:00-11:30 Hybrid: 320, Mittelstrasse 43 (Zoom) Valid sequential inference on probability forecast performance Prof. Dr. Johanna Ziegel (IMSV)
November 25, 2022 10:00-11:30 Hybrid: 116, Mittelstrasse 43 (Zoom) Learning from data to model the Earth system and predict climate impacts on the biosphere Prof. Benjamin Stocker (GIUB)
October 28, 2022 10:00-11:30 Hybrid: 216, Mittelstrasse 43 (Zoom) The architecture of planetary systems: a machine learning approach Prof. Dr. Yann Alibert (CSH)
September 16, 2022 10:00-11:30 Hybrid: 228, Mittelstrasse 43 (Zoom) Early Warning Signals in Epidemiological Data Dr. Judith Bouman (ISPM)
July 15, 2022 10:00-11:30 Hybrid: 320, Mittelstrasse 43 (Zoom) A Guided Tour Through the Transformers Landscape Dr. Lewis Tunstall (Hugging Face)
June 17, 2022 10:00-11:30 Hybrid: 320, Mittelstrasse 43 (Zoom) Data-Centric AI Tools Dr. Kevin Schawinski (Modulos)
May 20, 2022 10:00-11:30 Hybrid: 224, Mittelstrasse 43 (Zoom) A simple, interactive Gaussian process regression introduction in Python Dr. Brett Morris (CSH)
March 25, 2022 10:00-11:30 Online (Zoom) Application of time series methods in public health Dr. Ana Vicedo-Cabrera (ISPM)
February 18, 2022 10:00-11:30 Online (Zoom) Inference methods using GPUs Dr. Simon Grimm (CSH/ISPM)
January 21, 2022 10:00-11:30 Online (Zoom) Utilizing electronic health records for epidemiological surveillance PD Dr. Christian Althaus (ISPM)

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