Comparison of statistical techniques for the analysis of ”omics” data

This report refers to a project which has been assigned to a group of students in the MSc in Mathematics at Università degli Studi di Milano during a modeling seminar, in the academic year 2017/18. They faced the following problem. A group of biochemists in the University of Milan conducted an experiment testing the effect […]

A Markov Chain approach to evaluate the impact of CAP Greening on land use in Lombardy region

A recent reform has redesigned Common Agricultural Policy (CAP) contents over the programming period 2015-2020, introducing important changes in the funding strategies, called “Greening”, which reward “agricultural practices beneficial for the climate and the environment” (EU regulation 1307/2013), namely i) arable crops diversification, ii) maintenance of permanent grassland and iii) ecological focus areas (EFA). These […]

RealForAll: Real-time measurements and forecasting for successful prevention and management of seasonal allergies in Croatia-Serbia cross-border region (project ID: HR-RS151)

Exposure to aeroallergens is associated with allergic rhinitis and asthma that significantly reduce quality of life and have a notable economic impact on society in the Croatia-Serbia cross-border region (Figure 1). Numerous sources of allergenic airborne pollen are present in the region resulting in exposure to strong allergens (e.g. birch trees, grass, common ragweed) on […]

Workshop Mathematics for Big Data: presentations are online

The kickoff workshop of the ECMI SIG “Mathematics for Big Data” took place at University of Novi Sad on May 31 – June 1, 2017. The workshop was attended by more than 80 participants, coming from all Europe and also Australia. We had 14 speakers presenting talks ranging from optimization, learning and statistics for Big […]

Workshop Mathematics for Big Data

Dates: May 31- June 1, 2017 Place: University of Novi Sad, Serbia The availability of huge amounts of data is often considered as the fourth industrial revolution we are living right now. The increase in data accumulation allows us to tackle a wide range of social, economic, industrial and scientific challenges. But extracting meaningful knowledge […]