Data is a fundamental input for designing, implementing and evaluating public policies. Good information management enables us to be more efficient, to provide better responses and to improve the management of public goods.  

The State is one of the main data generators in the country. However, the information it collects is fragmented in different agencies and not exploited to its full potential. To make better use of it, data must be considered an asset from which it is possible to extract value. In other words, data governance is key. 

This requires treating information as an asset and implementing specific procedures and policies. Data is worth more when it can be cross-referenced and shared. Government data is a public good. 

We work to improve data management at government level. We design state policies to centralize, classify and share available information without losing sight of citizens’ security and privacy. We carry out data analysis and data science and foster upskilling of Government teams and employees regarding these topics.

The road to evidence-based public policies starts with data.


Daniel Yankelevich is a computer scientist. He holds a PhD from the University of Pisa and did his postdoctoral work at North Carolina State University. He is a university professor with private-sector and research experience.
Mariana Kunst holds a BA in Economics and a MA in Quantitative Methods for Data Management and Analysis (UBA). She has worked on issues related to the cultural sector and data science in the public sector. She teaches at UBA.
Juan Pablo Ruiz Nicolini holds a BA in Political Science and Government and an MA in Political Science from UTDT. He worked with data around diverse areas such as elections, tourism and communication. He teaches Data Science at UTDT.
Marcos Feole holds a BS and an MS in physics from the Balseiro Institute and a MS in statistics from the University of Illinois at Urbana-Champaign. His professional experience includes research, software development, data science, and mathematical modeling for the financial sector.
Alejandro Avenburg holds a BA in political science from the University of Buenos Aires and a PhD in the same subject from Boston University. He has conducted research and consultancy work on corruption and open government. He teaches at the National University of San Martín.
Juan Manuel Dias holds a BA in Sociology (UBA). He specialised in quantitative methodologies both in the private sector and in public administration. He teaches statistics at UNPAZ.
Paula Luvini holds a BA in economics from the University of Buenos Aires and is pursuing an MSc in data science at the University of San Andrés. She has worked in the public and private sectors and is currently a university lecturer.
Daniela Belén Risaro holds a BA in Oceanography and a PhD in Atmospheric and Ocean Sciences from the University of Buenos Aires (UBA). She is also studying for her BA in Data Science (UBA) and MA in Public Policy (UTDT). She has worked on climate change and data science in the public sector, and currently teaches at UBA.
Juan Gabriel Juara holds a BA in Sociology and is a Data Exploitation and Knowledge Discovery postgraduate student at UBA. He coordinated the data team of the National Directorate of Markets and Statistics of the Ministry of Tourism and Sports.
Joan Imanol Gonzalez Quiroga is a Computer Science student at UBA. His areas of interest include natural language processing, artificial intelligence and computational theory.