Social protection programs and emergency aid are two of the most common–and powerful–tools that governments and NGOs have to protect vulnerable members of society. With millions of people falling into “extreme poverty” since the start of the COVID-19 pandemic, and many more threatened by global climate change, the need to deliver aid equitably and efficiently has never been more pressing. But lack of reliable data and evidence to guide decision-making constrains the ability of policymakers to reach those with the greatest need.
On Thursday, November 4th, CEGA’s annual Evidence to Action (E2A) symposium, "Reimagining Development Aid," will explore important questions related to the targeting and delivery of aid and social safety nets, with a focus on low- and middle-income countries. E2A 2021 will showcase results from CEGA research, as well as insights from government and NGO partners who are leveraging novel approaches and underutilized sources of data to dramatically improve crisis preparedness and response.
Minister Cina Lawson, Togo
Cina Lawson, Minister of Digital Economy and Digital Transformation in Togo, will talk about her experience launching "Novissi," Togo's flagship digital cash transfer program. Working closely with CEGA researchers and the NGO GiveDirectly, Minister Lawson and her team successfully leveraged novel data sources and methods to deliver cash to Togolese citizens hit hardest by COVID-19.
We'll also hear from the following researchers:
Emily Aiken (UC Berkeley), Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance
Simon Quinn (University of Oxford), Targeting a Job Intervention for Syrian Refugees
Ted Miguel and Michael Walker (UC Berkeley), Targeting for Impact vs Deprivation in Kenya
Brian Dillon (Cornell), Food Aid Targeting in a Fast-Changing World
Carly Trachtman (UC Berkeley), How Much do our Neighbors Really Know? The Limits of Community-Based Targeting
Reajul Chowdhury (University of Illinois), Improved Targeting in BRAC's Targeting the Ultra Poor (TUP) Graduation Model
Jonathan Proctor (Harvard), Improving the Spatial Resolution of UNDP's HDI Estimates
And a panel of practitioners:
Edgar Picón (Technical Director, Prosperidad Social in Colombia)