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Data for Development D4D February 2014 Data 4 Development an Open Innovation Data Challenge from Orange, to help the development of Cte dIvoire Data 4 Development is an Open Innovation Data challenge from Orange to the world


  1. Data for Development – D4D February 2014

  2. Data 4 Development – an Open Innovation Data Challenge from Orange, to help the development of Côte d’Ivoire � Data 4 Development is an Open Innovation Data challenge from Orange to the world research community, to help the development of Côte d’Ivoire ─ Exploit mobile network signalling statistics, form Orange Mobile in Côte d’Ivoire, to find new insights who could influence public policies or create new services to help the local populations and the development of the country ─ Address poverty, medical help, food and water distribution, spread of diseases, traffic congestions, early signals of crisis, new statistics, … � A project in collaboration with the University of Louvain (UCL) and the MIT for the evaluation of the results with the support of Global Pulse (United Nations), the World Economic Forum, the A Ouattara (Bouake) University and the GSMA � Launched in June 2012, the results were announced at the NetMob conference at MIT on 1 st of May 2013 ─ A “world premiere” by Orange… 2

  3. The Préfectures and antenna locations of Orange - Côte d’Ivoire 3

  4. 4 large anonymous data sets, were made accessible to the research teams, after a project submission process � 4 anonymous data sets were prepared , based on 5 months of network activity, from Dec 2011 to April 2012 ─ Dynamic Population densities by volumes of calls per hour between antennas ─ Two types of geographic mobility of small random client samples 2 nd degrees social communication graphs of micro small client samples ─ a223 a224 a225 … Illustration: Number a123 12 3 28 … of call between antennas a124 54 23 2 12/03/2012 from 18-19hr a… 14 13 8 � We ran pre-release tests with friendly-teams to further minimize privacy risks ─ Universities of Pierre & Marie curie in Paris and Cambridge UK, tried to “Hack” the sets, and provided recommendations to further secure the data before release � Controlled access to the data set, ensured an alignment with the project goals ─ Release of data sets to researcher teams, required a project submission to the D4D Challenge and the signature of Terms & Condition’s controlling the access to and the use of data as well as the publication of results 4

  5. More than 260 teams applied to the challenge, resulting in 83 submissions in a wide variety of domains � Emergency responses � City and Transport planning � Tourism and event analysis � Population statistics � Communities understanding � Health improvements � Epidemic models � Economic indicators � Alerting/preventing violence � Countries comparison � … Following T&C’s All papers are today in the public domain . 5

  6. examples Fine granularity of poverty Cities comparison, and Transports Crowdsourcing index (by prefecture) urbanization index potential for low cost delivery of aid Christopher Smith et . al. J. McInerney et al. Modeling and prevention campaigns against diseases Modeling to improve transport and AIDS Cholera, Malaria,… urbanism Katarina Gavric et. al. Andrew S. Azman et al. Eva Enns et. al. 6

  7. The D4D Committee offered 4 awards (see orange.com/D4D) 7

  8. D4D First prize Exploiting cellular data for disease containment and information campaigns strategies in country-wide epidemics � A. Lima � M De Domenico � V. Pejovic � M. Musolesi School of Computer Science, University of Birmingham, UK 8

  9. D4D Best development prize AllAboard : a system for exploring urban mobility and optimizing public transport using cellphone data � Michele Berlingerio � Francesco Calabrese � Giusy Di Lorenzo � Rahul Nair � Fabio Pinelli � Marco Luca Sbodio IBM Research, Dublin 9

  10. D4D Best scientific - Prize Analyzing social divisions using cell phone data � Orest Bucicovschi � Rex W. Douglass � David A. Meyer � Megha Ram � David Rideout � Dongjin Song University of California/San Diego La Jolla, CA 10

  11. D4D Best visualization Exploration and analysis of massive mobile phone data : a layered visual analytics approach � Stef van den Elzen � Jorik Blaas � Danny Holten � Jan-Kees Buenen � Jarke J. van Wijk � Robert Spousta � Anna Miao � Simone Sala � Steve Chan – Eindhoven University of Technology – SynerScope BV – Prince of Wales Fellowship at MIT 11

  12. The press has been unanimously positive, recognising the innovative approach and practical benefits for the populations The Wall Street Journal La Republica The Times WIRED magazine … and conferences: Fondation d’Avignon, IIC, IGF, DCPC, EDD… Twitter #data4d … A white paper on D4D has been writen by E Letouze and C Vink, of HHI, with the support of MIT, Harvard HHI, 12 GSMA, Global Pulse and Orange

  13. Learning so far… � Telco Data can make a difference to people’s life and help improve public policies ─ D4D Côte d’Ivoire continues with implementation projects starting in the country � Strong anonymisation competencies, business ethics and operational rigour in handling sensitive data are essential � Benefits of this type of approach are clear from a social responsibility perspective as well as on its positive business consequences, and should be advertised to motivate other institutions in the private sector to invest in the domain. � Much still need to be done to reap the benefits of data for development potential ─ Policies: Close collaboration with local authorities for the development of code of conduct, charter and policies to enable Development type of work should be encouraged ─ Knowledge capital: multiply projects and collate Use-Cases to spread best practices ─ Data availability: More Data should be made “accessible” to research ─ Going from Research to Execution is essential, by engaging local authorities and players ─ Motivating the use of BigData for Development in areas where it can have a leverage effect 13

  14. D4D in Sénégal � The Sonatel, on its CSR board of 6 Jan 2014, has decided to initiate a D4D Sénégal Project � 4 guidances have been suggested ─ Involve the relevant local autorities early on in the process ─ Focus on a few themes and deepen the efforts on key development questions ─ (1) Health, (2) Agri-Food, (3) Transport/Urban, (4) Energy, (5) National Statistics ─ Improve the link between research and implementation after D4D ─ Involve the local ecosystem to help develop Big-Data and Anonymisation skills and services � The project should be run in 2014, by a join team Sonatel and Orange Group 14

  15. Thank you - Merci contact: Orange Group Marketing: nicolas.decordes@orange.com 15 CONFIDENTIAL -

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