On Monday, May 6th, the first training about the OPAL platform in Colombia took place. The Universidad del Rosario, a member of the OPAL CODE in Colombia, welcomed participants at their premises in the center of Bogotá.
Participants included representatives from:
Friendly User Testers: technical teams involved in the use cases from DANE, Unidad Nacional de Gestión del Riesgo, Fundación Ideas para la Paz and Universidad del Rosario.
CODE members: DNP, Telefónica
Invited institutions: Inter-American Development Bank, iNNpulsa Colombia, Fundación Karisma
The training began with a keynote from Emmanuel Letouzé about the role of Big Data and AI in measuring and achieving Sustainable Development Goals, with a focus on OPAL as a vision to change how data and algorithms are used to improve the state of the world.
The second section’s purpose was to provide a detailed presentation of the OPAL platform including: i) architecture and different components; ii) data structure and data preparation process ; iii) privacy features; iv) algorithm development process. In addition to the presentation, a high level technical document was shared with participants.
Then, a last section in the afternoon consisted of a working session on the use cases proposals, where all FUTers contributed to solving methodological issues and questions about the different use cases. FUTers also commented on the parameters of a possible new algorithm about migrations that could be developed by Universidad del Rosario.