Areas

Data

Data is a fundamental input for designing, implementing, and evaluating public policies. Effective information management enables countries to become more efficient, provide optimal responses, and manage their public goods better.  

In Argentina, a massive amount of data is generated by the state. However, this process is highly fragmented and the data that is gathered is not exploited to its full potential. To make better use of this data, we need to look on it as an asset that we can derive value from. In other words, this data needs to be governed. 

What does this mean in practice? Data should be treated as if it were extremely valuable and handled through specific procedures and policies. Data is worth even more when it is connected to other data and can be cross-referenced and shared. State data is a public good. 

Our work seeks to improve how the state manages data. How? We design governance policies to centralize, classify, and share available data without losing sight of individuals’ security and privacy. Our work includes data analysis and data science to support state capacity building around data usage.

The journey toward evidence-based public policy starts with data. 

Team

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.
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.
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.
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.

Publications