Big Data for Sustainable Development
The term big data refers to large data sets that cannot be processed and analyzed in a traditional way, since it is generated according to the dynamics of societies. Its five characteristics are: variety, volume, speed, value and truthfulness. The potential of big data is that it can explain causes of specific events, anticipate trends and provide possible solutions at all levels, especially for evidenced-based decision making.
What has been the main element for the positioning of big data for sustainable development in the Latin American and Caribbean region?
What is big data?
It is all structured, semi-structured and unstructured data, which is produced thanks to digital technologies based on social dynamics
This document by Cepei shows why big data offers an inexpensive and efficient alternative that can help close information gaps, and contribute to the implementation of the 2030 Agenda
In this paper, we present the use of Sentiment Analysis in implementing SDGs through a use case which addresses the problem of immigration in Colombia and in Costa Rica. For this purpose, we have proposed a new Machine Learning (ML) based Sentiment Analysis approach on data related to immigration in these two countries, collected from Twitter.
Thanks to the 60 experts, representatives from 11 countries in Latin America, the Caribbean and Africa, who joined us for 3 days in Mexico City to reflect and learn together on 1 topic: administrative data!
HOW TO ENGAGE WITH THE DATA FOR DEVELOPMENT AREA?
Share your data
Help us identify new datasets and integrate them into our initiatives
Donate your time
Be part of the data revolution by helping us build a working network that actively participates in the analysis and visualization of data to generate sustainable development related content.
Support us to expand our scope and reach, or to create complementary initiatives.