The ECMI Students Competition 2020 has been won by two European teams of students, named “Aula Chisini”, composed by Davide FOCCHI, Luca FORLANI, Agnese RADAELLI – Università degli Studi di Milano, and “BILBOMAT”, composed by Carlos Javier PEÑA – University of Bilbao. We realized an interview with the winners, and […]
Read moreFriday, October 30, 2020 at 10:00 hrs (CET). We are happy to announce the video conference COVER – COVid-19 Empirical Research organized by the Center of Excellence in Economics and Data Science of the Department of Economics, Management and Quantitative Methods and by the Data Science Research Center, Università degli Studi di Milano, […]
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Current farming practices require a uniform application of pesticides in order to protect crop plants from pest and disease. These treatments are typically repeated at regular time intervals. However, it is well known that several pests and diseases exhibit an uneven spatial distribution, with typical patch structures evolving around localized […]
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The outbreak of the Covid-19 epidemics in early 2020 has caused an unprecedented effort of the scientific community to produce models that could monitor and predict the evolution of the epidemics in a reliable way, also to advice governments to take actions which could mitigate the burden of hospitals to […]
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ECMI Webinar – April 29, 2020 The COVID-19 pandemic is currently generating considerable activity among applied and industrial mathematicians across Europe. The mathematics of modelling, simulation, and optimisation in all its various forms has experienced an unusual level of attention from authorities and from the media. In recent weeks, separate […]
Read moreThe Journal of Mathematics in Industry, with the support of the European Consortium for Mathematics in Industry – ECMI , has decided to publish a special issue entitled: Mathematical models of the spread and consequences of the SARS-CoV-2 pandemics. Effects on health, society, industry, economics and technology. This is a call […]
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We have developed a method, called Experts Method, to forecast the evolution of a multivariate set of time series, of big dimension, and with partially censored data. It has been applied to the data provided by the H2020 Big Data Horizon Prize 2017 (http://ec.europa.eu/research/horizonprize/index.cfm?prize=bigdata). The data subject to the forecast […]
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My name is Filipa Valdeira, I am from Lisbon (Portugal) where I have completed an Integrated Master in Aerospace Engineering, with a specialization in Systems and Control. During the last year of the degree, I conducted my Master’s Thesis on the topics of optimization and statistics. This sparked my interest […]
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My name is Rongjiao Ji, I am currently a first-year PhD student in the PhD school in Mathematical Sciences, Universita’ degli Studi di Milano (Italy), and I am enrolled in the Marie Skłodowska-Curie Action – Innovative Training Network/European Industrial Doctorate BIGMATH. I received my master degree in Probability and Statistics […]
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We are happy to announce the birth of the Data Science Research Center, a new coordinated research center of Università degli Studi di Milano. The primary objective of the Data Science Research Center (DSRC) is to integrate the competences and research activities in computer science, statistics and mathematics of the […]
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