Wednesday, September 25, 2024

[DMANET] October 14, 16.30-17.30 CET, @ the newly created EURO OSS on Operational Research and Machine Learning

Dear colleagues,

EURO – The Association of European Operational Research Societies has a new instrument, the EURO Online Seminar Series (EURO OSS), and we are pleased that on October 14, 16.30-17.30 CET, Prof Anita Schöbel (President of EURO) will open the EURO OSS on Operational Research and Machine Learning, https://euroorml.euro-online.org/, followed by the talk of Prof Bart Baesens on "Using AI for Fraud Detection: Recent Research Insights and Emerging Opportunities".

To receive the link to participate online, please join the mailinglist https://forms.gle/YWLb6EPKRQnQert68.

The EURO OSS on Operational Research and Machine Learning is an online seminar series with the goal to brand the role of Operational Research in Artificial Intelligence. The format is a weekly session that takes place every Monday, 16.30-17.30 (CET). It is 100% online-access, and it will have leading speakers from Operational Research, as well as neighbouring areas, that will cover important topics such as explainability, fairness, fraud, privacy, etc. We also have the YOUNG EURO OSS on Operational Research and Machine Learning. In each YOUNG session, three junior academics will show their latest results in this burgeoning area. The Online Seminar Series is free thanks to the support given by EURO, as well as Universidad de Sevilla (US) and Copenhagen Business School (CBS). This is gratefully acknowledged.

To follow us
Website: https://euroorml.euro-online.org/
Link to register mailinglist: https://forms.gle/YWLb6EPKRQnQert68
LinkedIn: https://www.linkedin.com/company/euroorml/
X (formerly Twitter): @euroorml

Kind regards,
The organizers of the EURO OSS on Operational Research and Machine Learning
Emilio Carrizosa, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Nuria Gómez-Vargas, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Thomas Halskov, Copenhagen Business School
Dolores Romero Morales, Copenhagen Business School

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