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UM Data Science Research Seminar

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The UM Data Science Research Seminar Series are monthly sessions organised by the Institute of Data Science, on behalf of the UM Data Science Community, in collaboration with different departments across UM with the aim to bring together data scientists from Maastricht University to discuss breakthroughs and research topics related to Data Science.

This session is organised in collaboration with the School of Business and Economics' Data-Driven Decision-Making group on 19 September, 2019 from 12:00 - 1:00pm.

Schedule

12.00 - 12.40

Talk by Tom Heskes

Professor of Artificial Intelligence at the Institute for Computing and Information Sciences (iCIS), Radboud University Nijmegen. See https://www.cs.ru.nl/~tomh/

Title: Causal discovery from "big data"

Abstract: 
Discovering causal relations from data lies at the heart of most scientific research today. In apparent contradiction with the adagio “correlation does not imply causation”, recent theoretical insights indicate that such causal knowledge can also be derived from purely observational data, instead of only from controlled  experimentation. In the “big data” era, such observational data is abundant and being able to actually derive causal relationships from  very large data sets would open up a wealth of opportunities for improving business, science, government, and healthcare. In this talk, I will sketch how insights from statistics and machine  learning may lead to novel approaches for robust discovery of relevant causal relationships with applications in health and genomics.

Slides from the talk are available here.

For questions or concerns, please contact us via info-ids@maastrichtuniversity.nl.

Organizers

D3M Team

  • Nalan Bastürk

IDS

 

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