Elena Proden (PhD) is a Senior Specialist and Team Leader, Strategic Implementation of the 2030 Agenda Unit, UNITAR. Trained as a development economist, Elena has been leading a UNITAR team working on strategic planning, data and monitoring in support of SDGs. The focus of support to NSOs is on strengthening their capacities as well as those of other stakeholders to unlock the full value of data for sustainable development in close link with immediate and future national and local-level policy-making needs.

Dr. Oliver Chinganya is a Zambian Chartered Statistician (since 1999), Chartered Scientist, and Fellow of the Royal Statistical Society. He currently serves as the Director of the African Centre for Statistics at the UN Economic Commission for Africa (UNECA). The African Centre for Statistics’ main mission is to enable national statistical systems in Africa to produce high-quality statistics, data, and geospatial information to support sound, evidence-based decision-making in line with sustainable development, as well as regional and national priorities.

Dr Pramana is Professor of Statistics at Politeknik Statistika STIS, and The Regional Hub on Big Data and Data Science for Asia and The Pacific, BPS Statistics Indonesia. His interests include big data analytics, machine learning, official statistics and artificial intelligence, among other topics. Professor Pramana has published on the analysis and use of a range of non-traditional data sources, including mobile positioning data, sentiment data and online news.

Bachelor degree in Mathematics, Postgraduate, M.Sc. and PhD in Statistics. My research involves theoretical and software developments for geostatistical analysis, complex networks and regression models of spatial, spatio-temporal and functional data. Many of these models and tools have been inspired and in consequence applied to in agriculture, environment, meteorology, epidemiology, planning, medicine, among many others.

Mauricio Castro is an associate professor in the Department of Statistics at Pontificia Universidad Católica de Chile, where he has worked since 2017. Previously, he spent nearly a decade at Universidad de Concepción after earning his Ph.D. in Statistics from Pontificia Universidad Católica de Chile in 2008. His research focuses on statistical modeling for complex datasets, including spatial, longitudinal, and temporal models applied to economics, biology, and psychology.