How companies in industries such as pharmaceuticals are starting to learn that by giving more data away, they actually get more back.
It’s worth remembering that communities have the power to take away philanthropy’s social license to operate.
Hal Varian, chief economist at Google, discusses methods of big data analysis that can indicate not just correlation but also causality.
Not every nonprofit has a data science team. To truly harness big data for social good, we need collaborations between individuals, across organizations, and across sectors.
Communities cannot and should not wait for external forces to bridge local opportunity divides.
Impact investing makes sense in theory, but there are good reasons, particularly for large foundations, to pause before putting a lot of resources into it.
Many managers assume praise will support a positive working environment, and help employees open up to criticism or feel good about themselves. But in fact, praise perpetuates a scarcity myth—usually without us realizing it.
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.
We need to channel capital in all its forms in a direction where it can have a lasting impact and generate competitive financial returns. Data science can help light the way.
