Webinar Series on Targeting and Community Networks in Anti-Poverty Programs


Both centralized and decentralized development and poverty alleviation programmes often have trouble correctly identifying beneficiaries. In recent years there has been a movement towards community-driven development, on the grounds that communities have local information that can be best leveraged when they have the autonomy to select beneficiaries. What are the mechanisms through which this information is leveraged? How does this method of targeting perform relative to top-down mechanisms, or data-driven selection? Which are the effective nodes in the community networks, and what are their incentives to target? Conditional on selection, what additional assistance or monitoring do these community members provide, and how does this affect programme success?


IEMS is hosting a series of webinars on Targeting and Community Networks in Anti-Poverty Programs to present cutting-edge academic research on these questions.  The series' academic committee is composed of Dilip Mookherjee (Boston University), Albert Park (HKUST) and  Sujata Visaria (HKUST).  

The series will debut on 30 November 2020 and consists of 6 webinars.  


Series Schedule (as of 16 October 2020) 

In each of the webinar, the speaker will present for 1 hour 15 minutes. 

Date & time (Hong Kong Time, GMT +8) Speaker Affiliation Title Register links
30 November 9:30pm Fernando Vega-Redondo  University of Bocconi Peer networks and entrepreneurship: a Pan-African RCT Register
8 December 9.30am  Matthew O. Jackson Stanford University The Role of Social Networks in Inequality, Immobility, and Inefficiency Register
15 December 9.30am Diego Vera-Cossio Inter-American Development Bank Targeting credit through community members Register
12 January 9.30am Erika Deserranno Northwestern University Development Policy through the Lens of Social Structure Register
19 January 9.30pm Emily Breza Harvard University To be determined Register
26 January 9.30am Marcel Fafchamps Stanford University Mobilizing P2P Diffusion for New Agricultural Practices: Experimental Evidence from Bangladesh Register



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