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Analyse de données mobiles pour le développement en Ouganda

Using mobile data for development is growing in importance to a wide range of development actors. There are a variety of different uses and considerations when using mobile data. As noted by UN Global Pulse, Call Detail Records (CDRs) provide several dimensions of analysis that can be measured and used by the Mobile Network Operators (MNOs) and other businesses and organizations to identify mobility, social interaction and economic activity. Beyond CDRs, information from one or more MNOs core network and switching system, value added services downloads and usage, and even handset information can yield valuable insights into individual and collective behavior, including migratory patterns, seasonality of businesses or the spread of diseases. This data can also be combined and analyzed with other data sets to identify deeper patterns and correlations such that mobile data can either identify or predict conditions or behaviors of individuals (such as business activity, creditworthiness, transportation habits or needs) or communities (such as the identification of poverty “pockets” or the likely spread of diseases). Mobile data is increasingly being used for social purposes, helping national and local governments, NGOs and socially responsible investors identify the service needs of communities. Using mobile data for development is growing in importance to a wide range of development actors. There are a variety of different uses and considerations when using mobile data. As noted by UN Global Pulse, Call Detail Records (CDRs) provide several dimensions of analysis that can be measured and used by the Mobile Network Operators (MNOs) and other businesses and organizations to identify mobility, social interaction and economic activity. Beyond CDRs, information from one or more MNOs core network and switching system, value added services downloads and usage, and even handset information can yield valuable insights into individual and collective behavior, including migratory patterns, seasonality of businesses or the spread of diseases. This data can also be combined and analyzed with other data sets to identify deeper patterns and correlations such that mobile data can either identify or predict conditions or behaviors of individuals (such as business activity, creditworthiness, transportation habits or needs) or communities (such as the identification of poverty “pockets” or the likely spread of diseases). Mobile data is increasingly being used for social purposes, helping national and local governments, NGOs and socially responsible investors identify the service needs of communities.

- A platform for data analytics is finalized – A platform for data analytics that the government and development partners can use to assess the need and current supply of services to citizens - The Apps linked to the platform are finalized - Pilot partners are trained and use the platform to develop action plans to improve or develop new services for citizens - Documentation and training available for other stakeholders and process defined to access the Platform and develop additional Apps and services - The required agreements and relations between stakeholders are in place and the strategy for long-term management and maintenance of the platform and applications is implemented The global objective is to offer the citizens of Uganda a more transparent and fact-based decision-making process to improve economic and social impact and more specifically Citizens have access to new and/or improved services that respond to their needs. This should translate into improved and more targeted services for the citizens by government, development organizations and the private sector. For example, mobile data analytics can provide detailed insight in mobility patterns, allowing for better urban planning and potentially leading to a decrease in traffic congestion and shorter commutes. Governments can also use mobile data analytics to better target and deliver other key services, such as social security payments and access to energy. The specific objectives are: • Government, regulators and other data providers improve the quality and accessibility of data and statistics • Government officials and regulators use the platform to target and monitor services, and to pursue policies to make services more available, accessible, affordable, and reliable • Pilot partners improve or develop new services based on the data analytics • Other stakeholders and/or pilot partners develop their own Apps based on the Platform to improve their value proposition and service delivery • Government decision making is transparent and better targeted. - Government, regulators and other data providers improve the quality and accessibility of data and statistics - Government officials and regulators use the platform to target and monitor services, and to pursue policies to make services more available, accessible, affordable, and reliable - Government decision-making is transparent and better targeted - Pilot partners improve or develop new services based on the data analytics - Other stakeholders and/or pilot partners develop their own Apps based on the Platform to improve their value proposition and service delivery

Government of Uganda

ID Projet

BE-10-3017724

Statut de l'activité

2 - Implementation

Type d'aide

C01 - Interventions de type projet

% to Ouganda

100.00

Organisations

Funding

Directorate-general Development Cooperation and Humanitarian Aid

Implementing

UNCDF - Capital Development Fund UNCDF_FENU - UNCDF - PRT

Code CRS	%
Politiques publiques et gestion administrative (15110)	100.0