A report by the United Nations shows that 415 million people exited multidimensional poverty in the country between 2005-06 and 2019-21.

Did you know that people tend to classify themselves as either visual or verbal thinkers?  

Think back to March 2020, when COVID-19 became our problem, threatening our lives, livelihoods, and society.

In the last decade, the use of technology in monitoring, evaluation, and learning has become commonplace to support systematic inquiry into interventions.

High-quality data is the most integral part of the world's policy-making process.

Caroline Herschel, an astronomer born in Germany, discovered eight comets and three nebulae and was praised by the King of Prussia and London's Royal Astronomical Society.

Evidence-based policymaking requires robust databases that help policymakers approach welfare empirically and logically.

One of the key questions, which comprises the soul of impact evaluation, is the attribution question to ascertain a specific intervention's treatment effect.

A key feature of any data collection exercise is to create a medium for quality data to be collected and processed for insightful and impactful decision-making.

In 1955, Prime Minister Jawaharlal Nehru, from the ramparts of the Red Fort, remarked that everything could wait but agriculture.

The Logical Framework Approach (LFA) was first designed by USAID (the United States overseas development agency) in the 1960s.

Participatory evaluation has existed for a considerable time and has been one of the most powerful evaluation approaches.