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Ankriti Singh

As seen in: Dialnet - Universidad de La Rioja
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Articles

AI, transparency, and trust: rethinking open science in development research

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By Maria Jones, Ankriti Singh
| blogs.worldbank.org
AI is rapidly changing policymakers’ access to research findings, creating insights from thousands of research products in easily digestible formats. Tools such as ImpactAI and 3ie’s DevChat combine large evidence repositories with AI-assisted retrieval and synthesis to help users navigate thousands of impact evaluations and systematic reviews. Evaluation of AI tools is critical, and too often focuses on technical performance alone.
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Rethinking coding assessment in an AI-assisted world

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By Maria Jones, Ankriti Singh, Marina Visintini
| blogs.worldbank.org
AI tools are transforming the production function for economics research, and rapidly changing both the skills required of a research assistant and how we assess those skills when hiring. At the World Bank's Development Impact department, objective assessment of coding skills is an essential part of the hiring process.
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repkit: Tools for reproducible coding

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By Kristoffer Bjarkefur, Benjamin Daniels, San Martín, Ankriti Singh
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda repkit: Tools for reproducible coding Autores: Kristoffer Bjärkefur, Benjamin Daniels, Luis Eduardo San Martín, Ankriti Singh Localización: The Stata journal, ISSN 1536-867X, Vol. 25, Nº. 4, 2025, págs. 696-718 Idioma: inglés Enlaces Texto completo Resumen Writing Stata code that produces the same results on another user’s machine is an essential component of modern reproducible data analysis workflows.
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