Explore Commitments

Commitments

Civil society, academia, private sector, government, and international agencies are committing to making the 2024 UNWDF data-driven and action-packed. Search the inventory to discover the organizations leading the way.

Search the inventory to discover the organizations leading the way and find ways to collaborate.

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Commitment
Organization(s)
Organization type
Geographic focus
Data focus
Commitment:OPAL for Humanitarian Action (OPAL4HA)
Organization(s):Data-Pop Alliance
Organization type:Civil Society
Geographic focus:National
Data focus:Official statistics, Survey data, Private sector data, Geospatial data, Administrative data, Artificial Intelligence, Civil registration and vital statistics, Census, Cross-cutting
Commitment:Book Club “Counting Feminicide with Catherine D’Ignazio”
Organization(s):MIT Press, Data-Pop Alliance
Organization type:Civil Society
Geographic focus:Regional
Data focus:Official statistics, Citizen data, Artificial Intelligence, Other
Commitment:Approve new statistical plan in Bogotá, Colombia
Organization(s):Secretaria Distrital de Planeación from Bogota, Colombia
Organization type:Government
Geographic focus:Local
Data focus:Monitoring and evaluation
Commitment:Applying a quality of life and payment capacity survey at the territorial level in Bogotá
Organization(s):Secretaria Distrital de Planeación from Bogota, Colombia
Organization type:Government
Geographic focus:Local
Data focus:Official statistics, Survey data, Geospatial data
Commitment:Next-Gen VLRs: Data-Driven Solutions for SDG Reporting
Organization(s):UN-Habitat and SDGs Today, UN Sustainable Development Solutions Network (SDSN)
Organization type:Other
Geographic focus:Local
Data focus:Citizen data, Geospatial data, Artificial Intelligence, Census, Data for SDG monitoring, Cross-cutting
Commitment:Strengthen inclusive data governance processes and promote responsible use of new technologies and ICT.
Organization(s):Development Initiatives
Organization type:Civil Society
Geographic focus:Global
Data focus:Cross-cutting

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