Fundar 2024

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Data

Data is a fundamental input for designing, implementing and evaluating public policies. Good information management makes it possible to be more efficient, provide better responses and better manage public goods.

The state is one of the main generators of data in the country. However, the information it collects is fragmented across different agencies and not exploited to its full potential. To make better use of it, data has to be seen as an asset from which it is possible to derive value. In other words, data has to be governed.

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

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

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

Team

Director

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

  • Coordinator
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

  • Researcher
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

  • Data Scientist
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

  • Researcher
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

  • Data Scientist
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

  • Data Scientist
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

  • Data Scientist
Joan Imanol Gonzalez Quiroga is a Computer Science student at UBA. His areas of interest include natural language processing, artificial intelligence and computational theory.

Daniel Yankelevich

  • Principal Investigator
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

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