Data Club: 4th seminar

on the May 30, 2018

May 30, from 16:00 to 18:00
The Data Club is opened to PhD candidates, master degree students and post-docs working in the data field. For this third session of the Data Club, Marc Ohlmann will speak about "Graphical models and ecology: linking ecological theory to statistical models". Drinks are served during the second part of the session.

Each month, the Data Club organizes one working session of 2 hours, on Wednesdays, from 4:00 to 6:00, at the IMAG building.

Presentations made by young researchers will last 30 to 40 min, on Data topics that can be useful to many people. It will be followed by 20 min for discussion. Then, we will have 1 hour for refreshment and network.
We welcome potential speakers for the monthly talks. If you are interested, please contact Ferielle Podgorski


May 30: "Graphical models and ecology : linking ecological theory to statistical models" by Marc Ohlmann

Biogeography is a science that had its foundations in the scientific expeditions of Von Humboldt in Central America at the beginning of the XIXth century. It aims to describe and understand the patterns of species spatial distributions. Biotic interactions between organisms have long been ignored in biogeographic models partially because sampling biotic interactions is time consuming. However, they might be of prime importance in understanding and predicting biodiversity. Inferring species interaction network from spatial data (ie presence absence of species in multiple locations) is still an open questions. Several statistical tools around graphical models and especially bayesian networks have been explored to infer species interaction network. Nevertheless, analysing the structure of such objects using classic theory (i.e. theory built using continuous time dynamical models like Lotka-Volterra model) is confusing since they do not represent the same models. In other words, we aim to link ecological theory with statistical models. We propose to generalize an existing ecological theory (Trophic Theory of Island Biogeography) using several models of dynamic Bayesian networks. We will explore stationary distributions of theses objects. We will emphasize on the link between the structure of the network and the expected number of species observe using both simulated and ecological data.


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The Data Club will also organize events with companies.

You are from a company and you would like to meet students working on data? Please contact Ferielle Podgorski

Published on May 15, 2018

Practical informations


at the salle de réunion, IMAG building, ground floor.