Speakers

Mr Talip   Kilic
Senior Economist, World Bank

Biography:

Talip Kilic is a Senior Economist in the Survey Unit of the World Bank Development Data Group, and is part of the Living Standards Measurement Study (LSMS) team. He is currently stationed at the World Bank Center for Development Data (C4D2) in Rome, Italy. Talip is an expert in household survey design, implementation and analysis; has led the LSMS-Integrated Surveys on Agriculture (LSMS-ISA) program activities in Malawi and Uganda; and oversees the implementation of the World Bank Methodological Research Agenda on Household Surveys. His research focuses on poverty, agriculture, and gender in low- and middle-income countries; and methodological field experiments on household survey data collection, with the overall aim of validating scalable, objective approaches to measuring key development outcomes in household and farm surveys. He has a PhD in Economics from the American University in Washington, DC.

"Households from Space: Integrating Household Surveys with Geo-spatial Data Sources for Improved Monitoring of Development Outcomes"

Household surveys are a vital source of data for the Sustainable Development Goal (SDG) indicators, national accounts, consumer price indices, and socioeconomic analyses for formulating and evaluating development policies. With rapid advances in mobile technology, wearable/handheld sensors, and satellite imagery, the demand is increasing for understanding how these advances, combined with Big Data analytics and georeferenced multi-topic household survey data, can be used to measure development outcomes with greater accuracy and higher spatial and temporal resolution. If validated, such data integration applications that leverage household survey data as “ground truth,” could enhance our ability to monitor and understand development outcomes, and could transform our understanding of relationships between development and human welfare. This presentation will showcase the accuracy and feasibility of latest remote sensing applications that attempt to measure development outcomes related to poverty and agriculture, and that are centered around the integration of georeferenced ground data from household and farm surveys with geospatial and administrative data. The discussion will expand on the technical and institutional requirements for these applications, and their policy relevance, with a focus on their potential use in higher-resolution monitoring of development outcomes, and geographical targeting as well as impact evaluation of development interventions.