EURO PhD School on
Data Driven Decision Making
and
Optimization

June 13-22, 2022, Institute of Mathematics of the University of Seville

About

About

This EURO PhD School (EPS) will focus on giving participants advanced training on Data Driven Decision Making. There will be a methodological as well as an applied component to this EPS. Methodological training on the role of Mathematical Optimization in Data Science will be given in the format of lectures and computer workshops. The lectures will highlight the mathematical and statistical modeling and numerical optimization behind data analysis and data visualization tools. The computer workshops will make this knowledge actionable. Applications of the acquired knowledge to the modeling of specific industrial problems will be presented by professionals from industry and worked out by the PhD students. Mathematical and statistical models and numerical solution approaches will be developed and communicated, following a collaborative approach, in which the PhD students will work in small groups under the guidance of the instructors. The training of the EURO PhD School on Data Driven Decision Making and Optimization is eligible for 5 ECTS.

Where

Institute of Mathematics of the University of Seville

When

June 13-22, 2022

Program



Confirmed Speakers

Ilker Birbil

Ilker Birbil

University of Amsterdam, The Netherlands

Martina Fischetti

Martina Fischetti

Joint Research Center of the European Union, Spain

Dolores Romero Morales

Dolores Romero Morales

Copenhagen Business School, Denmark

EPS @ the beach

EPS @ the beach

EPS @ the heart of Seville

EPS @ the heart of Seville

The final version of the program can be found here Download the pdf

Scientific committee

Bart Baesens

Prof. Bart Baesens

Faculty of Economics and Business of the Katholieke Universiteit Leuven, Belgium

Emilio Carrizosa

Prof. Emilio Carrizosa

Institute of Mathematics of the University of Seville, Spain

Vanesa Guerrero

Dr. Vanesa Guerrero

Department of Statistics of the University Carlos III of Madrid, Spain

Belén Martín-Barragán

Dr. Belén Martín-Barragán

Business School of the University of Edinburgh, UK

Emilia Martínez Serrano

Emilia Martínez Serrano

Repsol Technology Lab, Spain.

Dario Pacino

Dr. Dario Pacino

Technical University of Denmark, Denmark

Federico Perea Rojas-Marcos

Dr. Federico Perea Rojas-Marcos

University of Seville, Spain

Nils Ploug

Mr. Nils Ploug

Director of Social Statistics at Statistics Denmark, Denmark

Dolores Romero Morales

Prof. Dolores Romero Morales

Copenhagen Business School, Denmark

Richard Weber

Prof. Richard Weber

University of Chile, Chile

Organizing committee

Víctor Blanco

Dr. Víctor Blanco

Institute of Mathematics of the University of Granada, Spain

Rafael Blanquero

Dr. Rafael Blanquero

Institute of Mathematics of the University of Seville, Spain

Emilio Carrizosa

Prof. Emilio Carrizosa

Institute of Mathematics of the University of Seville, Spain

Antonia Castaño

Dr. Antonia Castaño

Faculty of Sciences of the University of Cádiz, Spain

Dolores Jiménez

Prof. Dolores Jiménez Gamero

Institute of Mathematics of the University of Seville, Spain

Salvador Pineda

Dr. Salvador Pineda

Department of Electrical Engineering of the University of Malaga, Spain

Pepa Ramírez Cobo

Dr. Pepa Ramírez Cobo

Faculty of Sciences of the University of Cádiz, Spain

Alfonso Suarez

Dr. Alfonso Suárez Llorens

Faculty of Sciences of the University of Cádiz, Spain

Venue

Location info and gallery

Seville, Spain

Institute of Mathematics of the University of Seville

Celestino Mutis building, first floor

Avenida de la Reina Mercedes

Sponsors

With the support of

This PhD School has been financed in part by EURO, DORS, SEIO, ECMI, math-in, Copenhagen Business, Universidad de Sevilla, and research projects EC H2020 MSCA RISE NeEDS (Grant agreement ID: 822214), FQM-329, US-1381178 (Proyectos I+D+i FEDER Andalucía), P18-FR-2369 (Junta de Andalucía, Spain) and PID2019-110886RB-I00 (funded by MCIN/AEI/10.13039/501100011033, Spain). This support is gratefully acknowledged.