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OPAL Project: the use of private data for development

L’utilisation des données numériques au service des ODD

Dr. Mauricio Perfetti – Dir. DANE (Official Statistics – Colombia); Aboubacar Bèye – Dir. ANSD (Official Statistics –Sénégal); Dr. Yves-Alexandre DE MONTJOYE, Researcher, Imperial College London; Richard Benjamins – Telefonica - Director External Positioning & Big Data for Social Good; Coumba SANGARE – Sonatel - Corporate Communication & CSR Manager; Jérémie Pellet - Deputy CEO Agence Française de Développement; Dr. Claire Melamed, Executive Director Global Partnership for Sustainable Development Data. Moderator- Dr. Emmanuel Letouzé – Dir Data-Pop Alliance

 Digital and development - Roundtable

Dec. 8 2016      05:00 PM - 05:50 PM
  Palais d'Iéna - Ventejol
Simultaneous translation: Français-English-Español

Add to Calendar 2016-12-08 17:00 2016-12-08 17:50 Europe/Paris OPAL Project: the use of private data for development - #OGP16 http://mobile.ogpsummit.org/en-event-145-opal_project_the_use_of_private_data_for_development Dr. Mauricio Perfetti – Dir. DANE (Official Statistics – Colombia); Aboubacar Bèye – Dir. ANSD (Official Statistics –Sénégal); Dr. Yves-Alexandre DE MONTJOYE, Researcher, Imperial College London; Richard Benjamins – Telefonica - Director External Positioning & Big Data for Social Good; Coumba SANGARE – Sonatel - Corporate Communication & CSR Manager; Jérémie Pellet - Deputy CEO Palais d'Iéna, Ventejol, 9 place d'Iéna Paris, France Fourth OGP Global Summit 2016 MM/DD/YYYY 5 Custom event filename event145 confirmed REQUEST

How to make the data revolution happen ? How to support private sector in sharing data for social good ? How to build the necessary capacity within official statistics offices to leverage big data? Which infrastructure, what business model ? Sharing information without endangering privacy: How to break the privacy versus utility trade off ?

OPAL logo

OPAL (for Open Algorithms) is a collaborative project being developed by a group of partners committed to leveraging the power of platforms, big data and advanced analytics for the public good in a privacy preserving, commercially sensible, stable, scalable, and sustainable manner.

OPAL’s core will consist of an open suite of softwares and open algorithms providing access to statistical information extracted from anonymized, secured and formatted data. These algorithms, accessed by an API, will be run on OPAL servers of partner companies, behind their firewalls. The vision is to strengthen the accuracy, timeliness and reliability of key development indicators and statistics of relevance for an array of users. The project will start with APIs to access indicators such as population mobility, approximations of poverty indices, or literacy rate based on mobile data from telecom operators as well as a library of certified open algorithms to extract these indicators in a governed and trustworthy manner.

The OPAL project will also be used to engage with data providers, users and analysts at all stages of its development, to build local capacities and connections, and will help set-up local Data governance and Advisory boards to support its operation for the benefits of the populations.

Victor Raynaud, Thomas Roca

Ministry of Foreign Affairs, Agence Française de Développement

In charge of development statistics

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Venue

  • Palais d'Iéna
    9 place d'Iéna
    75016 Paris