Monica Pratesi (chair holder, University of Pisa)

Monica Pratesi is full Professor of Statistics, University of Pisa, and she was holder of the Jean Monnet Chair “Small Area Methods for Monitoring of Poverty and Living Conditions in EU” (2015-2018). She is member of the Board of the Ph.D. Programme in “Data Science” of the University of Pisa, member of the Board of the PhD program in Applied Statistics – University of Florence (Italy) and member of the Board of European Master in Official Statistics jointly organized by Eurostat and European Statistical System. She is the PI for the University of Pisa on the Inclusive Growth Infrastructure Diffusion (InGrid-2) and on the MAKing Sustainable development and WELL-being frameworks work for policy analysis projects both funded by the EU’s H2020 Framework Programme (MAKSWELL). She is the Director of the Tuscan Universities Research Centre ASESD “Camilo Dagum”. Since 2016 she is Member of the Governing Board of Italian National Institute of Statistics (Istat). She is President elected of the Italian Statistical Society (SIS) and Vice President elected of the International Association of Survey Statisticians.

Christian Morabito (Save the Children)

Christian Morabito is lead researcher for the international NGO Save the Children on developing indicators to measure multidimensional child poverty and educational poverty and inequality in Italy and Europe. During the course of his career he  worked with UNDP and UNESCO and the World Bank in managing poverty reduction and educational programmes in Sub-Saharan Africa. His main areas of specialization are: inequalities, in particular social inequalities, intergenerational transmission of disadvantage and policy responses particularly early education and child care, development aid, research, programme and project design, identification and formulation, management, appraisal, monitoring and evaluation.

Mariola Chrzanowska (Warsaw University of Life Sciences)

Mariola Chrzanowska is Assistant professor at the Department of Econometrics and Statistics of Warsaw University of Life Sciences – Faculty of Applied Informatics and Mathematics of the Warsaw University of Life Sciences – SGGW. Her main activities and responsibilities include research on regional, local and rural development, local self-government and entrepreneurship, preparing and conducting lectures in quantitative area: econometrics, statistics, forecasting. Supervising MA and postgraduate courses students, organization of domestic and international conferences Reviewer  in the scientific journal: Quantitative Methods in Economic, and statistics editor in Annals of Marketing Management & Economics. Management Committee Member COST ACTION  European Cooperation for Statistics of Network Data Science (CA15109). Management Committee Member  COST ACTION Measuring homelessness in Europe (CA15218)

Nina Drejerska (Warsaw University of Life Sciences)

Nina Drejerska is assistant professor at the Department of European Policy and Marketing, Faculty of Economic Sciences of the Warsaw University. Member of the Advisory Group for National Contact Point for Research Programmes of the European Union Institute of Fundamental Technological Research Polish Academy of Sciences. She was coordinator of the project and summer school in Bioeconomy, Euroleague for Life Sciences, Ref. No.: ELLS fund 2017-2, Evaluator under the H2020 calls, and member of the Management Committee COST ACTION IS1104 “The EU in the new complex geography of economic systems: models, tools and policy evaluation” She was the project coordinator of EU regional policy in a micro perspective, 542717-LLP-1-2013-1-PL-AJM-MO Lifelong Learning Call for Proposals 2013, Jean Monnet Programme, Key Activity 1

Marina Gandolfo (ISTAT)

Marina Gandolfo is Head of International Affairs Division (Istat, Rome), formerly Responsible for International Relations (Istat, Rome) and Head of Unit for Technical Support on Control system and Training (Istituto Promozione Industriale, Rome). Member of the UNECE Steering Group for Sustainable Development Goals and chair of the TF on Capacity Development (TGCAP); Member of the Paris 21 Board. Member of the Joint Subgroup of the High-level group for Partnership, Coordination and Capacity-building for Statistics for the 2030 Agenda for Sustainable Development and the Inter-agency and expert group on SDG indicators. Peer reviewer in the second round of peer reviews 2014-2015 in EU on the implementation of European statistics Code of practice. Reviewer into the global assessment process of Costa Rica’s statistical system and statistics for the accession to OECD.

Vincenzo Mauro (University of Macerata)

Vincenzo Mauro is Assistant Professor of statistics in the Department of Economics and Management at the University of Pisa. Previously, he obtained a research grant on Human Development in the Department of Economics and Management at the University of Florence and he worked as Senior Researcher in the Institute of Education at the University of London. Among his main interests, he develops models based on casual inference for impact evaluation of policies and the development of indicators for the measurement of multidimensional poverty and well-being in international contexts. He is member of the Italian Statistical Society (SIS) and reviewer for international journals like Social Indicator Research, Oxford Development Studies, World Development

Maria Pia Sorvillo (ISTAT)

Maria Pia Sorvillo is coordinator of the area “Development and integration of Well-being and SDGs indicators” (Istat, Division for data analysis and social, economic and environmental research – Rome), formerly Head of Unit “Training activities for external users” (High school for training in statistics and in socio-economic analysis – Istat). Member of the EMOS Board  (Eurostat); Member of the Steering committee of the Master QoLexity; EU representative at OECD (PIAAC Board) and at the OECD, UNESCO and Eurostat wg for the revision of the International Standard Classification of Education; Member of the CES-Steering group on migration statistics; Istat representative at OECD and Eurostat working groups Italy representative at the EC for the discussion of Recommendations on migration statistics; Member of the scientific committee of the  UN-ECE / Eurostat Joint Working group on Population projections.

Nikos Tzavidis (University of Southampton)

Nikos Tzavidis is a Professor of Statistical Methodology within Social Sciences: Social Statistics & Demography at the University of Southampton. His interest in Official and Survey statistics started when he joined Eurostat‘s Research and Development Unit after completing his MSc in Statistics. Since completing his PhD in Statistics, he held posts at the Institute of Education, University of London and at the University of Manchester. His research expertise lies in the theory and applications of small area estimation, M-quantile and quantile regression, robust estimation for random effects models and in the analysis of complex survey, in particular multilevel and longitudinal, data. His research is supported by the European Union’s 7th Framework Programme, the British Academy and the Economic and Social Research Council in the UK. PI for the University of Southampton on the Small Area Methods for Poverty and Living Conditions Estimates (SAMPLE) and on the Inclusive Growth Infrastructure Diffusion (InGrid) projects both funded by the EU’s 7th Framework Programme. He is also extensively involved in consultancy work for National Statistical Institutes and Government Departments in the UK (Office for National Statistics), Europe (Central Bureau of Statistics, Netherlands) and overseas (National Council for the Evaluation of Social Development Policy, Mexico). Fellow of the Royal Statistical Society, elected member of the International Statistical Institute (ISI) council member of the International Association of Survey Statisticians (IASS) and Associate Editor for the Journal of the Royal Statistical Society Series A, the Journal of Official Statistics and the International Statistical Review. He currently serves as an academic assessor for the UK Government Statistical Service Fast Stream Scheme and as the external examiner for the MSc in Social Research Methods and Statistics at the University of Manchester.

Jan van den Brakel (Maastricht University School of Business)

Jan van den Brakel is Special Professor of Survey Methodology at Maastricht University School of Business and Economics, Senior Methodologist at the Statistical Department of Statistics Netherlands and Associate Editor of Survey Methodology Journal and Statistica Neerlandica. The purpose of his research is to apply econometric models to survey data to improve the accuracy of the aforementioned design-based methods. In addition, he studies and develops methods that account for the complexity of the sample design in the econometric modeling and analysis of sample data. Among other topics, he works at: Sampling, weighting, variance estimation, Design and analysis of experiments embedded in probability samples, Inference with data obtained with mixed mode data collection, Small area estimation, time series modelling of series observed through repeated surveys, Inference for official statistics with data obtained without probability sampling.