Data

Los datos son un insumo fundamental para diseñar, implementar y evaluar políticas públicas. Un buen manejo de la información permite ser más eficiente, dar mejores respuestas y hacer una mejor gestión de los bienes públicos.  

El Estado es uno de los principales generadores de datos del país. Sin embargo, la información que recolecta está fragmentada en distintas dependencias y sin explotar en todo su potencial. Para aprovecharlos mejor, los datos tienen que ser considerados un activo del cual es posible sacar valor. Es decir, los datos tienen que ser gobernados. 

¿Qué significa esto? Tratar a la información como si fuera un objeto de gran valor, con procedimientos y políticas específicas. Los datos valen más cuando están conectados, cuando se pueden cruzar y compartir: los datos del Estado son un bien público. 

Trabajamos para mejorar la gestión de datos del Estado. ¿Cómo? Diseñamos políticas de gobierno para centralizar, clasificar y compartir la información disponible, sin perder de vista la seguridad ni la privacidad de las personas. Hacemos análisis y ciencia de datos y acompañamos el desarrollo de capacidades estatales en estos temas.

El camino hacia políticas públicas basadas en la evidencia empieza por los datos.

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.
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.
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.

Publications