Arturo Martinez, Jr.
Statistician, Economic Research and Development Impact 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.

Explainer

Leverage machine learning and satellite imagery for informed resource allocation to enhance road quality and address development challenges.

Explainer

Pseudo-panel methods using repeated cross-sectional surveys, which are less costly and easier to do, may offer a solution to this problem.

Insight

Crises like a pandemic underscore the importance of alternative sources of high-quality and timely data in developing effective measures.

Explainer

Statisticians turn to digital solutions and nontraditional methods for faster data collection, processing, and dissemination to inform crisis response.

Explainer

Poverty maps derived from satellite images helped target the most vulnerable households in pandemic-affected areas in the Philippines.

Insight

A study examines the feasibility of applying computer vision techniques to satellite data of the Philippines and Thailand to produce poverty maps.

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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.

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Students need not just career guidance but also practical information on the enrollment process and available financial assistance programs.