Ciudata Segura

Ciudata Segura

Population 2021
(Millions)

HDI Score
2019 (Max. 1)

SDG Score
2020-2021
(Max. 100)

Gender Inequality
Index Score
(Max. 1)

Internet Inclusivity
Index 2022
(100 countries)

Sources: 1. World Bank (2021), 2. UNDP (2019), 3. Sustainable Development Report (2021), 4. UNDP (2019), 5. Economist Impact (2022).

Overview

About the Project

Latin America and the Caribbean (LAC) remains the most violent region on the planet, accounting for over a third of homicides in the world. Increasingly, data and information are being promoted as a powerful tool to understand and prevent crime and violence. However, there are two key questions that remain largely unanswered:
1) Why is crime clustering in certain neighborhoods?
2) Why do certain individuals turn to crime and not others?

Leveraging traditional (official statistics, surveys, interviews) and new data sources (big data, i.e CDRs and open source GIS), Ciudata Segura aims to build a granular spatio-temporal tool to diagnose crime factors in cities and better inform security policy-making.

Pilot in
Colombia

The pilot phase is currently being deployed in six Colombian cities presenting a diversity of contexts, both in terms of socioeconomic and political characteristics and crime prevalence: Bogotá, Medellín, Barranquilla, Montería, Valledupar, and Tumaco. Preliminary results will be shared with our local partners by the end of 2018.

A Closer Look

The big data models used in this study have been previously tested in three cities, including Boston, Los Angeles and Chicago. The models include the following variables:

  • Physical characteristics of the city,  such as land use, size of blocks,  age of buildings, population density, vacuums
  • Socioeconomic characteristics,  such as unemployment and income inequality 
  • Mobility patterns of individuals

Overall, results have shown that a comprehensive model including all variable above is the best better predictor of crime, but also that crime dynamics cannot be explained to the same extent in all cities.

Learn more about Ciudata Segura:

With the Support of...

Learn more about using
Big Data for crime prediction:

Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics

Andrey Bogomolov, Bruno Lepri, Jacopo Staiano, Emmanuel Letouzé, Nuria Oliver, Fabio Pianesi, and Alex Pentland, 2015.

Learn more about crime and citizen security in Latin America

Citizen Security in Latin America and the Caribbean

Challenges and Innovation in Management and Public Policies over the Last 10 Years​
Laura Chinchilla, Doreen Vorndran, Nathalie Alvarado, Mauricio Bastién, Bárbara Cedillo, Gina Cárdenas, Pavel Munguía, Andrés Restrepo, Viviana Vélez, Karelia Villa

Ciudata Segura in the Media

"Ciudata Segura: Un mapa de datos hacia la paz"

Link Magazine, pg 66
December 6, 2018

Contacts

For more information about Ciudata Segura,
please write to

Projects

This project developed with the support of the Spanish Agency for International Development Cooperation (AECID), strengthened the technical capacities of government officials in Latin America and the Caribbean to take advantage of Big Data for sustainable development and official statistics. During the first phase of the project, through an exploratory study (see Publication below), we analyzed the current state of the infrastructure, institutional framework, regulatory framework, capacities and use cases of Big Data for the generation of public policies in 5 LAC countries: Bolivia, Dominican Republic, El Salvador, Guatemala and Peru.

The second phase focused on developing four capacity building workshops between June 2022 and March 2023.

  • Introduction to Big Data for Sustainable Development
  • Big Data and Poverty Analysis for Sustainable Development
  • Big Data and Health Analysis for Sustainable Development
  • Big Data, Security and Violence for Sustainable Development

This training itinerary provided participants with a comprehensive knowledge of the key concepts, the necessary tools and the main challenges of Big Data for sustainable development, with a special emphasis on the applicability of these data sources for statistical purposes.

This project aimed to support the Inter-American Development Bank (IDB) in preparing for the IDB Andean Summit event held on November 29, 2018, in Quito, Ecuador. A study was generated that identified new Big Data tools being developed and/or used by academic institutions, international organizations, and the public or private sector that would concretely benefit current and future IDB projects. Based on DPA’s experience, the consultancy’s goal was to contribute to the IDB’s knowledge, identification, and capabilities regarding available technological tools that provided observable material improvements at different stages of current or future projects. The study focused on IDB projects in five countries in the region: Bolivia, Colombia, Ecuador, Peru, and Venezuela.