News & Events

NeEDS Workshop on Data and Decisions in COVID-19 times

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Join us on the upcoming online NeEDS Workshop on Data and Decisions in COVID-19 times and learn more about the work of our NeEDS researchers as well as external participants.



Colleagues from CARTO, Instituto de Estadística y Cartografía de Andalucía, KU Leuven, Centraal Bureau voor de Statistiek, Danmarks Statistik, Università degli Studi di Milano, Universidad de Chile, and Universidad de Sevilla will present contributions from Data Science, Official Statistics and Mathematical Optimization to enhance Data Driven Decision Making in current COVID19 times.

July 1, 2020, 2pm – 5pm CEST

To register, please click here.


Fighting COVID-19 through spatial Data Science and geospatial data

Giulia Carella, from CARTO

Regional official statistics in COVID19 times

Iria Enrique Regueira, from Institute of Statistics and Cartography of Andalusia

Three applications of digital tools for infectious disease control

Klaas Nelissen, from Katholieke Universiteit Leuven

Innovation during a pandemic: Official statistics in the time of COVID-19

Laust Hvas Mortensen, from Statistics Denmark & University of Copenhagen

Critical Limitations of Digital Epidemiology: Why COVID-19 Apps Are Useless

Jonas Klingwort, from University of Duisburg-Essen

Modeling and analysis of mitigation strategies and their effects for the COVID-19 outbreak in Chile

Hector Ramírez Cabrera, from University of Chile

Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model

Alessandra Micheletti, from University of Milan

Short-Term Predictions of the Evolution of COVID-19 based on Sparse Ensemble Methods

Sandra Benítez-Peña, Cristina Molero del Río,  María Remedios Sillero Denamiel , from University of Seville

COVID-19 Predictions – A Sparse Ensemble Method

Our NeEDS Team at IMUS, Universidad de Sevilla, continues to do great work in regards to predicting the Evolution of COVID-19.  As Project Coordinator, Dolores Romero Morales, has recently stated in an interview with CBS WIRE:

“Our contribution to the collaboration is that we’re trying to build an accurate predictor for the different metrics related to Covid-19.”

“This means we’re building an algorithmic calculator that we can feed with the number of people who are in intensive care, how many hospital beds are occupied as well as how many people are carrying the virus at any given time.”

“And based on all these types of data, we’re developing a predictor using state-of-the-art machine learning methodology.”

Our NeEDS researchers – Remedios Sillero Denamiel, Cristina Molero del Río and Sandra Benítez-Peña – elaborate further on their approach to Short-Term Predictions of the Evolution of COVID-19 in this presentation:



NeEDS Secondment Videos 2019

As for so many others at the moment, our travel activities have come to a halt due to COVID-19.  While we are keeping the project going from our home desks, have a look at our NeEDS Secondment Videos from 2019 and listen to what our secondees have worked on and continue to work on.

There will be more to come in the next years.

Jeanette Walldorf from Copenhagen Business School talks about her secondment at DUKE University

Marcela Galvis Restrepo from Copenhagen Business School talks about her secondment at Geographica

Yu Zhang from Oxford University talks about his secondment at Centraal Bureau voor de Statistiek

Remedios Sillero Denamiel from Universidad de Sevilla talks about her secondment at Danmark Statistik

Sandra Benítez-Peña from Universidad de Sevilla talks about her secondment at Danmark Statistik

Thomas Ashley from Universidad de Sevilla talks about his secondment at Danmark Statistik

Cristina Molero del Río from Universidad de Sevilla talks about her secondment at Danmark Statistik

Jonas Klingwort from Centraal Bureau voor de Statistiek talks about his secondment at Universidad de Sevilla

Luis Aburto from Universidad de Chile talks about his secondment at Katholieke Universiteit Leuven.

Faruk Hasic from Katholieke Universiteit Leuven talks about his secondment at Universidad de Chile.



More Women in Science

Last week, February 11th, we celebrated the International Day of Women and Girls in Science. Our partners at IMUS, Universidad de Sevilla, even opened their doors for the local News team from CSN2 Sevilla for some exclusive interviews with our female Maths-enthusiasts.

Amongst them, our NeEDS Secondee Cristina Molero del Río who talked about a real life problem that she has worked on together with other colleagues at IMUS during the 2019 NeEDS Modelling Week. The problem she addressed regarded the fountains of the city of Seville and the prevention of contamination of their water. In order to do so, a mathematical model was developed to predict the chlorine level of a fountain, that is the basis to regulate its pH level and thus control the contamination of the water. Watch the full News Section here (in Spanish, start minute 04:45).

As the UN points out, only 30 per cent of researchers worldwide are women. These are numbers that need to change and we are proud to be contributing to equal opportunities for women and girls in science. The NeEDS consortium has a very balanced gender ratio and continuously works to foster and sustain gender balance and equal opportunities. In 2019, 9 of our 19 secondees were female, and we look forward to facilitate even more secondments for female scientists over the next years.

For more insights into the contributions of our female participants, check out our slides on STEM NeEDS Women.

Dolores Romero Morales appointed Editor-in-Chief of TOP, the Operations Research Journal of the Spanish Society of Statistics and Operations Research

2020 starts with exciting news:

Together with her colleague Antonio Alonso Ayuso from Universidad Rey Juan Carlos de Madrid, our NeEDS Project Coordinator, Dolores Romero Morales, has been appointed new Editor-in-Chief of TOP, the Operations Research Journal of the Spanish Society of Statistics and Operations Research.

With theory and methodology of Operations Research, and the practice of Data Driven Decision Making through innovative applications as its focus, TOP is a highly relevant journal for all NeEDS members and enthusiasts and we congratulate Dolores to her appointment!

Coming up: NeEDS Modelling Week at EURO PhD School, Universidad de Sevilla, July 10-19, 2020




10-19 July 2020, at the Institute of Mathematics of the University of Seville

Register here.

The EURO PhD School (EPS) will focus on giving participants advanced training on Data Driven Decision Making.

The EURO PhD School (EPS) will be focused on giving participants advanced training on the use of Data Science to aid Data Driven Decision Making. There will be two main components in this EPS. First, 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 modelling and numerical optimization behind data analysis and data visualization tools. The computer workshops will put this knowledge in action. Second, 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 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.


Chairs of the Scientific Committee

Prof. Emilio Carrizosa

IMUS-Institute of Mathematics of the University of Seville, Spain


Prof. Dolores Romero Morales

Copenhagen Business School, Denmark

Workshop on Privacy Preserved Data Sharing at Statistics Netherlands, November 1st

On November 1st, NeEDS member Statistics Netherlands is organising a 1-day workshop to share knowledge and gathered expertise, methodological challenges in the area of Privacy Preserved Data Sharing, and to jointly look at the most implementable solutions.

A total of 5 cases will be presented on topics such as synthetic data generation, machine learning via SMPC and pseudonomisation.

NeEDS participant Jeanette Walldorf to win annual Fonnesbech PhD award 2019

Jeanette Walldorf, PhD Student at the department of Economics (CBS), has received this year’s Fonnesbech PhD award for extraordinary research which is estimated to be on an international top level. The PhD award totals 140.000 DKK and it is awarded to a PhD scholar at CBS to finance one year’s salary.

Jeanette at Duke University, September 2019

Jeanette is currently enjoying a 4-month long secondment at Duke University as part of the NeEDS project where she is working within Work Package 2 on cutting-edge modelling to improve performance and develope novel measures of interpretability.

In the name of the NeEDS Team, congratulations to Jeanette!

Coming up: Conference on Data Science for Better Decisions, December 17th

On Tuesday 17 December 2019, Statistics Flanders and NeEDS member Statistics Netherlands jointly organise this one-day international conference on how data science can contribute to better official statistics for decision making.

As stated on Statistic Flanders’ webpage, the conference will adress questions such as how can new data sources and techniques help in supporting better decisions in a fast-moving digital environment? What are the opportunities from the boom in the availability of data to inform policy decisions, and what are the risks in using new tools and techniques to handle big data sources?

The conference will take place in Brussels, on the Tour & Taxis site (Havenlaan 86C, 1000 Brussel) and will be held in English. For free registration and a closer look at the program, please follow the link.

NeEDS Workshop On the Latest Advances in Machine Learning to Deal with Complex Data


Click on image to read the workshop’s full programme

Together with three visiting ESR’s from Universidad de Sevilla – María Remedios Sillero Denamiel, Cristina Molero-Río and Sandra Benítez-Peña – the NeEDS Project Coordinator, Dolores Romero Morales, presented the latest advances in machine learning to deal with complex data. With 28 guests from industry and academia, the workshop was a great success that allowed lively discussions and insights into the researchers’ works and progresses within the NeEDs project.