EURO – The Association of European Operational Research Societies has a new instrument: the EURO Online Seminar Series (EURO OSS), and this is the page of the EURO OSS on Operational Research and Machine Learning, with website https://euroorml.euro-online.org/ and link to register to the mailinglist at 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 Operations 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 has 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 EURO OSS on Operational Research and Machine Learning is organized by Emilio Carrizosa (IMUS – Instituto de Matemáticas de la Universidad de Sevilla) and Dolores Romero Morales (CBS – Copenhagen Business School) with the collaboration of PhD students Nuria Gómez-Vargas (IMUS) and Thomas Halskov (CBS). 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 receive news from us, please follow this link https://forms.gle/YWLb6EPKRQnQert68 to register to the mailing list. You will then receive information about our upcoming seminars and the link to participate online. Our seminars are on Mondays, 16.30-17.30 CET, and we typically send the link on Monday morning.
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Euro Online Seminar Series On Operational Research And Machine Learning's website is https://euroorml.euro-online.org/
Euro Online Seminar Series On Operational Research And Machine Learning's LinkedIn profile is https://www.linkedin.com/company/euroorml
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Euro Online Seminar Series On Operational Research And Machine Learning's categories are Higher Education
