Data On Purpose | Do Good Data: Causal Inference Meets Big Data
Hal Varian, chief economist at Google, discusses methods of big data analysis that can indicate not just correlation but also causality.
New ways to measure and evaluate the impact an organization’s work has on society (more)
Hal Varian, chief economist at Google, discusses methods of big data analysis that can indicate not just correlation but also causality.
Andrew Means of Uptake and Stanford's Lucy Bernholz talk about how nonprofits and foundations can take advantage of digital data and infrastructure in an ethical way.
Many valuable datasets remain locked away or siloed across different organizations and sectors. This panel from our February data conference looks how we can collaborate better on data projects.
An important part of telling your organization’s data story well is picking the right storytelling technique for your audience.
Collaborative organizations require collaborative leadership, but are boards getting in their own way?
Is it possible to use data to make predictions without enforcing existing biases?
Rigorous impact evaluations tell us a lot about the world, not just the particular contexts in which they are conducted. Open access to this article is made possible by MIT.
Finding solutions for the global poor need not require choosing between theory and decision making. Good evaluations focus on both.
To fulfill the promise of cash transfers, we need to double down on investment in research.
New research details how US families struggle with unstable income not just from year to year but even from week to week.