Resources
Mobile Data for COVID-19 Awareness
Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
Science Advances, 2020
About and
From OPAL
Can tracking people through phone-call data improve lives?
Nature, May 2019
Artificial Intelligence: Fiction, reality and... dreams
Nuria Oliver, speech to the Royal Academy, December 2018
The privacy risks of compiling mobility data
EurekAlert!, 7 December, 2018
TOWARDS A HUMAN ARTIFICIAL INTELLIGENCE FOR HUMAN DEVELOPMENT
International Telecommunications Union (ITU) Journal: ICT Discoveries, Special Issue No. 2, 6 December, 2018
OPAL Leaflet
October, 2018
Réflexions autour de l’apport du numérique au développement
Ajourd’hui, July 2018
Projet OPal : Le big data au service du développement
Agence Française de Développement, May 2018
Modeling the Temporal Nature of Human Behavior for Demographics Prediction
Cornell University, November 2017
OPen algorithms for identity federation
October, 2017
FAIR, TRANSPARENT AND ACCOUNTABLE ALGORITHMIC DECISION-MAKING PROCESSES
Springer, August 2017
OPAL’s vision to leverage data for societal development
February 2017
METTRE LE BIG DATA PRIVÉ AU SERVICE DU BIEN PUBLIC
Les Echos, December 2016
Data-driven preparedness for disaster
Devex, October, 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, August 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
saving big data from itself
Scientific American, August 2014
OPAL: PRIVACY-CONSCIENTIOUS USE OF MOBILE PHONE DATA
MIT Human Dynamics Lab
Further Readings and Tools
bandicoot: Data Visualization tool
MIT, 2019
The Innovator
Les Echos, February 2019, pg. 32-33
NOTES FROM THE AI FRONTIER: APPLYING AI FOR SOCIAL GOOD
McKinsey Global Institute, Discussion Paper, December 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.”
OPAL Case study
Global Partnership for Sustainable Development Data
November, 2018
Le númerique: une opportunité pour les services essentiels et le développement
Interview avec Élisabeth MEDOU BADANG, Directrice zone et porte-parole d’Orange pour la zone Moyen-Orient et Afrique (MEA)
(Re)sources - July 2018, pg 13 - 14
Le partage de la donnée, un enjeu planétaire
Orange, June 2018
Innovation : Big data, c’est données-donnant
Jeune Afrique, January 2018
OPAL: Reconciling open innovation and data security
Uses and Value, November 2017
The Human Strategy: A Conversation with Sandy Pentland
Edge, October 2017
THE TYRANNY OF DATA? THE BRIGHT AND DARK SIDES OF DATA-DRIVEN DECISION-MAKING FOR SOCIAL GOOD
Springer, May 2017
GROUP PRIVACY: NEW CHALLENGES OF DATA TECHNOLOGIES
Springer, 2017
Improving official statistics in emerging markets using machine learning and mobile phone data
Springer, November 2016
The spiraling arms race of data insecurity
CNBC, September 2016
OPEN ALGORITHMS: A NEW PARADIGM FOR USING PRIVATE DATA FOR SOCIAL GOOD
Devex, July 2016
CLIMATE AND DATA: A CRITICAL COMBINATION FOR ALL OUR FUTURES
TMForum, April 2016
DATA COLLABORATIVE: OPAL
The Global Partnership for Sustainable Development Data