Veronica Chesi – NeEDS – Network of European Data Scientists

The International Day of Women and Girls in Science

Today we celebrate the 2024 International Day of Women and Girls in Science (#IDWGS2024) and we are proud to introduce you to some of the amazing women who work in the EC H2020 RISE NeEDS project. They are making a difference in the fields of #OperationsResearch and #DataScience with their research and innovation.

We are grateful to ALL of you for inspiring the next generation of boys and girls with your examples of female leadership and excellence in science!
Thanks to:
Marta Boczoń
Margot Geerts
Nuria Gómez Vargas
Montserrat Heiras Nilsson
Natalia Khorunzhina
Kseniia Kurishchenko
Jasone Ramírez Ayerbe

Dolores Romero Morales gave a plenary speech at ORBEL38

Dolores Romero Morales gave a plenary speech at the 38th Annual Conference of the Belgian Operational Research Society, University of Antwerp, February 8-9, 2024, to present the NeEDS work on explainability and fairness in machine learning.

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Season 7 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

Tentative Program

All talks are 16.30-17.30 CET

February 12, 2024

Shiqian Ma, Rice University, USA

Title: Decentralized Bilevel Optimization

Link to talk: https://eu.bbcollab.com/guest/16aa78a6789c46c39744a51293653b13

February 19, 2024

Stanislav Uryasev, Stony Brook University, USA

Title: Risk Quadrangle and Applications: Support Vector Regression (SVR)

Link to talk: https://eu.bbcollab.com/guest/a4b0f61d3ca245c28f1a4b183a48b800

February 26, 2024

Nathan Kallus, Cornell University, USA

Title: Learning and Optimization: Separate or Integrate?

Link to talk: https://eu.bbcollab.com/guest/5f6b2827c847432ab35034deb752df08

March 4, 2024

XIV YOUNG

Nathan Justin (University of Southern California, USA)

Title: Learning Optimal Classification Trees Robust to Distribution Shifts

José Ángel Martín Baos (University of Castilla-La Mancha, Spain)

Title: Can machine learning methods effectively model travel mode choice? Beyond predictive performance
Ioana Molan (Trier University, Germany)

Title: Learning the Follower’s Objective Function in Sequential Bilevel Games

Link to talk: https://eu.bbcollab.com/guest/f36b823fbfc74849848d66808d8db459

March 11, 2024

Pooja Dewan, Vice President, Chief Data and Analytics Officer, Otis Elevator Company, USA

Title: Role of Analytics Professionals in Building a Data Driven Culture

Link to talk: https://eu.bbcollab.com/guest/8d60cb95de7e431e83be6381f82e4e23

March 18, 2024

Bernardino Romera Paredes, Google DeepMind, UK

Title: FunSearch: Discovering new mathematics and algorithms using Large Language Models

Link to talk: https://eu.bbcollab.com/guest/5cd1f5545f6642939131e5035de434d3

April 8, 2024

XV YOUNG

Cheng Peng (Stony Brook University, USA)

Title: Factor Model of Mixtures

Haofeng Zhang (Columbia University, USA)

Title: Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Giulia Di Teodoro (Sapienza University of Rome, Italy)

Title: Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree

Link to talk: https://eu.bbcollab.com/guest/3ef5ca638bf54c85aee046eb54559d2e

April 22, 2024

Güzin Bayraksan, Department of Integrated Systems Engineering, The Ohio State University, USA

Title: Integrating Stochastic Optimization and Machine Learning via Residuals

Link to talk: https://eu.bbcollab.com/guest/1b732023cea64e6da05b1e0d4d587578

April 29, 2024

XVI YOUNG

Nuria Gómez Vargas (University of Sevilla, Spain)

Title: A predict-and-optimize approach to profit-driven churn prevention

Maria Eduarda Pinheiro (Trier University, Germany)

Title: Mixed-Integer Quadratic Optimization and Iterative Clustering Techniques for Semi-Supervised Support Vector Machines

Bahar Taşkesen (EFPL, Switzerland)

Title: Reliable Data-driven Decision Making

Link to talk: https://eu.bbcollab.com/guest/f61afb4993e9440bb387b74ef86355d7

May 6, 2024

Pierre Pinson, Imperial College, UK

Title: Online learning and decision-making for renewables participating in electricity markets

Link to talk: https://eu.bbcollab.com/guest/c4046bb5460245e48247284d998a25c2

Looking forward to e-seeing you there!

The organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

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

Season 6 of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

Tentative Program

October 2, 2023

Prof Mike Baiocchi, Stanford University, USA

Title: Outcome Reasoning: the under-discussed engine powering black box development

Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/c8ae1469ed034fddb17cddcde67972ac

October 9, 2023

YOUNG

Caroline Spieckermann, Technical University of Munich, Munich, Germany

Title: A Graph Neural Network-based Reduce-then-Optimize Heuristic for the Fixed-Charge Transportation Problem

Miaolan Xie, Cornell University, USA

Title: Reliable Adaptive Stochastic Optimization with High Probability Guarantees

Quan Zhou, Imperial College London, UK

Title: Frontier Challenges in AI: The case of algorithmic bias in forecasting tools

Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/e6d83628f37b4f65adfb6062ee093be2

October 23, 2023

Prof Daniel Kuhn, EPFL, Switzerland
Title: Metrizing Fairness
Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/6e6638bbdd854181b21637e1e8c02e43

October 30, 2023

Prof Yael Grushka-Cockayne, University of Virginia, USA

Title: Challenges of Combining Forecasts from Correlated Sources

Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/c1702ac72a8244e6b0f93cf5befdb42c

November 6, 2023

Prof Adam Elmachtoub, Columbia University, USA

Title: Smart Predict-then Optimize for Contextual Linear Optimization: Theory and Computation

Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/40a20d4cc309494fa78f3d0b88102365

November 13, 2023

Prof Martin Schmidt, Trier University, Germany

Title: The Minimum Sum-of-Squares Clustering Problem: Robustification and Global Optimization Techniques

Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/0a4bbb97d3fa49c589ec644496e0e769

November 20, 2023

Prof Emilia Gomez, Joint Research Centre, European Commission & Universitat Pompeu Fabra, Spain

Title: Scientific challenges, practical methodologies and policy perspectives for trustworthy AI

Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/186b1c65f74b4189ad852fb9ab0e137e

November 27, 2023

Prof Jordi Castro, Universitat Politecnica de Catalunya, Spain

Title: An interior-point solver for large structured optimization and (data science and alternative) applications

Link to talk: https://eu.bbcollab.com/collab/ui/session/guest/e80c02d25f9b489f8f3c6e644edb9c3d

December 4, 2023

Prof Bilge Atasoy, Delft University of Technology, The Netherlands

Title: Adaptive Transport Systems through Operations Research, Behavioral Modeling and Machine Learning

Link to talk: https://eu.bbcollab.com/guest/0953c0928387448397ba36a45eaef74d

Looking forward to e-seeing you there!

The organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

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

Generative AI Day at the Escuela Politécnica de Ingeniería de Gijón

Do you want to know more on Generative AI?

Since the launch of ChatGPT in March this year, just six months ago, the Artificial Intelligence landscape has changed on a global scale and has started a revolution in all sectors. Generative AI represents a new scenario of possibilities and capabilities in all areas.

At Inetum they are already working on different solutions based on this technology to experiment and create new use cases that can be applied on a day-to-day basis, always with the idea of putting technology at the service of people and society.

And with this same objective, the Inetum Chair and the University of Oviedo are organising this conference on Generative AI at the Polytechnic School of Gijón on October 4 2023, where they invite you to participate.

Among the speakers the NeEDS partner Min Chen, Professor of Scietific Visualisation at the University of Oxford, will participate in the discussion.

Emilio Carrizosa gave a plenary speech at Optimization2023

Emilio Carrizosa gave a plenary speech at Optimization2023, to present the NeEDS work on counterfactual explanation for machine learning. The main objective of the Optimization 2023 conference is to bring together researchers and practitioners from different areas and backgrounds, but with common interests in Optimization.

This meeting has international recognition as an important forum of discussion and exchange of ideas. It is the 10th edition of a series of international conferences in optimization organized in Portugal under the auspices of APDIO (the Portuguese Operations Research Society).

The conference took place in the University of Aveiro, July 24-26, 2023. Read more here.

3rd NeEDS Workshop on the Latest Advances in Machine Learning to Deal with Complex Data

Click here to register

NeEDS contribution to IFORS2023, Santiago de Chile (Chile), July 10-14, 2023

Dolores Romero Morales gave a keynote speech at the 23^rd IFORS Triennial Conference in Santiago, Chile, July 10 – 14, 2023, to present the NeEDS work on explainability and fairness in Machine Learning. This is the flagship conference of the International Federation of Operational Research Societies (IFORS), that is held every three years alternating with the EURO and the International INFORMS conferences. Read more here.