RECURSOS
Sobre y desde OPAL
NOTES FROM THE AI FRONTIER: APPLYING AI FOR SOCIAL GOOD
McKinsey Global Institute, Discussion Paper, Diciembre 2018
“Other data sharing initiatives with private companies are also being worked on, including OPAL, an open algorithm collaboration between the World Economic Forum, MIT Media Lab, Orange, and others to derive aggregated insights from a company’s data without data leaving the company’s server. If proven successful, this could be a powerful tool in unlocking private data for social causes. It started in 2017 with pilots in Colombia and Senegal in partnership with their governments and two telecommunications operators.”
The privacy risks of compiling mobility data
EurekAlert!, 7 Diciembre, 2018
TOWARDS A HUMAN ARTIFICIAL INTELLIGENCE FOR HUMAN DEVELOPMENT
International Telecommunications Union (ITU) Journal: ICT Discoveries, Special Issue No. 2, 6 Diciembre, 2018
OPAL Case study
Global Partnership for Sustainable Development Data
Noviembre, 2018
OPAL Leaflet
Octubre, 2018
Le númerique: une opportunité pour les services essentiels et le développement
Entrevista con Elisabeth MEDOU BADANG, Directora de Area y vocera de Orange para el Medio Oriente y África (MEA)
(Re)sources - Julio 2018, pg 13 - 14
Réflexions autour de l’apport du numérique au développement
Ajourd’hui, Julio 2018
Le partage de la donnée, un enjeu planétaire
Orange, Junio 2018
Projet OPal : Le big data au service du développement
Agence Française de Développement, Mayo 2018
Innovation : Big data, c’est données-donnant
Jeune Afrique, Enero 2018
OPAL’s vision to leverage data for societal development
Febrero 2017
OPAL: Reconciling open innovation and data security
Uses and Value, Noviembre 2017
OPen algorithms for identity federation
Octubre, 2017
The Human Strategy: A Conversation with Sandy Pentland
Edge, Octubre 2017
THE TYRANNY OF DATA? THE BRIGHT AND DARK SIDES OF DATA-DRIVEN DECISION-MAKING FOR SOCIAL GOOD
Springer, Mayo 2017
METTRE LE BIG DATA PRIVÉ AU SERVICE DU BIEN PUBLIC
Les Echos, Dicimbre 2016
The spiraling arms race of data insecurity
CNBC, Septiembre 2016
OPEN ALGORITHMS: A NEW PARADIGM FOR USING PRIVATE DATA FOR SOCIAL GOOD
Devex, July 2016
DATA COLLABORATIVE: OPAL
The Global Partnership for Sustainable Development Data
OPAL: PRIVACY-CONSCIENTIOUS USE OF MOBILE PHONE DATA
MIT Human Dynamics Lab
saving big data from itself
Scientific American, Agosto 2014
Lecturas y herramientas adicionales
bandicoot: Data Visualization tool
MIT
Modeling the Temporal Nature of Human Behavior for Demographics Prediction
Cornell University, Noviembre 2017
FAIR, TRANSPARENT AND ACCOUNTABLE ALGORITHMIC DECISION-MAKING PROCESSES
Springer, Agosto 2017
GROUP PRIVACY: NEW CHALLENGES OF DATA TECHNOLOGIES
Springer, 2017
Improving official statistics in emerging markets using machine learning and mobile phone data
Springer, Noviembre 2016
BLOCKCHAIN AND HEALTH IT: ALGORITHMS, PRIVACY, AND DATA
White Paper for Office of the National Coordinator for Health Information Technology U.S. Department of Health and Human Services, Agosto 2016
CLIMATE AND DATA: A CRITICAL COMBINATION FOR ALL OUR FUTURES
TMForum, Abril 2016
THE ABCDE OF BIG DATA: ASSESSING BIASES IN CALL-DETAIL RECORDS FOR DEVELOPMENT ESTIMATES
Revised Draft prepared for presentation at the Annual World Bank Conference on Development Economics, 2016