In today’s data-driven world, organizations rely heavily on data to inform their decision-making processes. However, the effectiveness of these decisions hinges on the quality of the data being ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...

Ambitious, multi-sectoral, cross-boundary... there is no shortage of superlatives to qualify the Coral Triangle Initiative on Coral Reefs, Fisheries, and Food Security (CTI-CFF). A multilateral ...

This 25-page handbook is written in a question-and-answer style and is a good starting point in understanding M&E. It provides an overview of some of the basic questions of project monitoring and ...

Hundreds of health care artificial intelligence (AI) tools have been cleared by the U.S. Food and Drug Administration (FDA), ...

Managing system risk is paramount for organizations to protect their data and ensure operational continuity. Security Impact Analysis (SIA) is a critical component of this process, offering a ...

As part of an ongoing effort to provide UNHCR managers and field staff, as well as key operational partners, with appropriate tools that will enable them to look into the issues of environmental ...

Chief Justice Martha Koome calls for robust monitoring and evaluation in Kenya’s justice sector, emphasizing evidence-based decision-making and accountability.

How should population health look and work? There's a five-step process to getting there, said Michael Dulin, MD, director of the academy for population health innovation at the University of North ...