RECURSOS

 

 

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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

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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