Scaling up Social Assistance Where Data is Scarce : Opportunities and Limits of Novel Data and AI (English)

During the recent Covid-19 shock (2020/21), most countries used cash transfers to protect the livelihoods of those affected by the pandemic or by restrictions on mobility or economic activities, including the poor and vulnerable. While a large majority of countries mobilized existing programs and/or administrative databases to expand support to new beneficiaries, countries without such programs or databases were severely limited in their capacity...

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Author

Yuko Okamura;

Tim Ohlenburg;

Emil Tesliuc;
Document Date
2024/04/01
Document Type
Working Paper (Numbered Series)
Report Number
189993
Volume No
1
Country
World,
Region
Other,
Disclosure Date
2024/05/07
Disclosure Status
Disclosed
Doc Name
Scaling up Social Assistance Where Data is Scarce : Opportunities and Limits of Novel Data and AI

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Citation

Yuko Okamura; Tim Ohlenburg; Emil Tesliuc.

Scaling up Social Assistance Where Data is Scarce : Opportunities and Limits of Novel Data and AI (English). Social Protection and Jobs Discussion Paper ; No. 2402 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/099050724145524418

Scaling up Social Assistance Where Data is Scarce : Opportunities and Limits of Novel Data and AI (English)

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