Data

Data are a fundamental resource for designing, implementing and evaluating public policies. Good information management makes it possible to be more efficient, provide better responses and 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 is not exploited to its full potential. In order to make better use of it, data must be considered an asset from which it is possible to extract value. In other words, data must be governed.

What does this mean? Treating information as if it were an object of great value, with specific procedures and policies. Data is worth more when it is connected, when it can be cross-referenced and shared: government data is a public good.

We work to improve state data management, how? We design government policies to centralize, classify and share available information, without losing sight of the security and privacy of individuals. We do data analysis and data science and accompany the development of state capacities in these issues.

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

Team

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.
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.
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.
Lucía M Cappelletti has a degree in Physics and a PhD in Atmospheric and Ocean Sciences from the University of Buenos Aires. She has carried out research on floods in the agro-productive core of Argentina. She is a member of the Scientific Committee of the Regional Hydroclimatic Programme for the Andes - ANDEX of the World Climate Research Programme and promoter and representative of the JovenANDEX network.
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.

Publications