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Arturo Martinez, Jr.
Statistician, Economic Research and Regional Cooperation Department, Asian Development Bank
Art Martinez works on Sustainable Development Goals indicator compilation, particularly poverty statistics and big data analytics. Prior to joining ADB, he was a research fellow at the University of Queensland where he also got his doctorate in Social Statistics.
Pseudo-panel methods using repeated cross-sectional surveys, which are less costly and easier to do, may offer a solution to this problem.
Crises like a pandemic underscore the importance of alternative sources of high-quality and timely data in developing effective measures.
Statisticians turn to digital solutions and nontraditional methods for faster data collection, processing, and dissemination to inform crisis response.
Poverty maps derived from satellite images helped target the most vulnerable households in pandemic-affected areas in the Philippines.
A study examines the feasibility of applying computer vision techniques to satellite data of the Philippines and Thailand to produce poverty maps.
Data products such as the Key Indicators series are crucial to evidence-based policymaking.
There is a need to ensure that senior high school students are able to make optimal choices by providing them access to various senior high school tracks.
Students need not just career guidance but also practical information on the enrollment process and available financial assistance programs.
Digital change poses transformative opportunities, as well as risks, in capturing and interpreting data in support of sustainable development goals.
Statisticians use satellite images of Earth’s night lights to measure social and economic activity.