The Ministry of Innovation and Technology (MINT) of Ethiopia and the Internet Society (www.InternetSociety.org) announced a new collaboration agreement today that will help advance the digital economy and drive economic transformation.
Last year, the government of Ethiopia launched its digital transformation strategy with the goal of leveraging digital technologies to foster development and growth for every citizen.
The collaboration between the MINT and the Internet Society will support the implementation of this strategy to help the country develop digital services to advance key sectors that drive economic growth such as agriculture, manufacturing, services, and tourism.
The agreement will also help expand connectivity to rural areas, build Internet infrastructure, and strengthen Internet governance.
Ethiopia and Internet Society partner to help advance digital economy
Last year, the government of Ethiopia launched its digital transformation strategy with the goal of leveraging digital technologies to foster development and growth for every citizen.
Devdiscourse News Desk | Addis Ababa | Updated: 10-06-2021 18:41 IST | Created: 10-06-2021 18:41 IST
The Internet Society is committed to supporting Ethiopia in its vision to create an inclusive digital economy through the Digital Ethiopia 2025 Strategy. Image Credit: Twitter(@internetsociety)
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The Ministry of Innovation and Technology (MINT) of Ethiopia and the Internet Society (www.InternetSociety.org) announced a new collaboration agreement today that will help advance the digital economy and drive economic transformation.
April 12, 2021
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Jasjeet Sekhon
Jasjeet Sekhon, who conducts research on causal inference, machine learning, and experimental design, has been named the Eugene Meyer Professor of Political Science and of Statistics and Data Science. His appointment was effective Feb. 20.
A member of the Faculty of Arts and Sciences, Sekhon has applied his work across the social sciences, including political science, economics, and epidemiology. His research focuses on methods for causal inference in observational and experimental studies and evaluating social science, public health and medical interventions. He has studied elections, voting behavior, and public opinion in the U.S., multivariate matching methods for causal inference, machine learning algorithms for irregular optimization problems, robust estimators with bounded influence functions, health economic cost effectiveness analysis, and