Optimizing on the Edges
Combining tools such as design thinking, behavioral science, and evaluation can shape programs to improve patient experiences and change health behaviors.
Combining tools such as design thinking, behavioral science, and evaluation can shape programs to improve patient experiences and change health behaviors.
What can social sector organizations learn from large companies about using data to maximize impact?
Everyone is talking about systems. Or at least, that's how it seems in my wonkish corner of the philanthropic world. You can't attend a conference or even have a meeting without hearing about systems, whether it's people trying to disrupt them, map them, learn from them, or catalyze them.
Three considerations for nonprofits looking to work together to raise funds.
A call for investors to share their data to expand the field’s understanding of the breadth and depth of activity.
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.