WORKER SAFETY for INAIL
Development of a statistical model to support the assessment of the risk of workers in confined and / or suspicious polluting environments for the National Institute for Labor Insurance and Occupational Diseases (INAIL). The project, through the implementation of a robust statistical model in MATLAB embedded in a website developed by Research Center for Safety and Risk Prevention of Modena and Reggio Emilia University, helps operators to understand, basing on time series, the risk of injury or death associated with performing a particular task in a given environment. This model was used to develop a best practices protocol for workers safety.
Primefish for horizon2020 project
PrimeFish is an European project which belongs to Horizon 2020 programme. The overall objective of PrimeFish is to enhance the economic sustainability of European fisheries and aquaculture sectors. In PrimeFish an innovative decision support framework was developed, containing statistical models that can be used by the industry and policymakers to predict consequences based on existing knowledge and simulation / forecasting models.
Dema a JRC Project for European Commission
Ensuring energy market integrity and transparency is an important issue in the European energy wholesale framework. The Detection of Energy Market Abuse project aims to conduct quantitative analyses addressed to identifying patterns for the development of a model for market abuse detection. The main tasks of the research are the creation of a database including data from different wholesale markets and the development of instruments of comparison and anomalies detection. The project is supported by the Energy Directorate General of the European Commission and is conducted in collaboration with the Agency for the Cooperation of Energy Regulators (ACER).
AMT a JRC Project for European Commission
Automated monitoring of external trade data is a tactical operational activity by the Anti-Fraud Office of the European Union, in support of its own investigation directorate and the Member States. In this framework, the Automated Monitoring Tool (AMT) project sequence advance applications for the systematic statistical detection of patterns of antifraud relevance in large volumes of trade and other relevant data. AMT complements work already undertaken in the multi-annual anti-fraud activity of the Joint Research Centre, project Statistics and Information Technology for Anti-fraud, Security and Trade (SITAF-ST, https://ec.europa.eu/jrc/en/research-topic/antifraud). AMT is financed under the EU Hercule III Programme, which aims at promoting activities to protect the financial interests of the European Union.