Data On Purpose | Do Good Data: Software For Good
What can social sector organizations learn from large companies about using data to maximize impact?
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What Exactly Do We Mean by Systems?
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.
The Next Wave in Fundraising Collaboration
Three considerations for nonprofits looking to work together to raise funds.
Data: The Next Frontier for Impact Investing
A call for investors to share their data to expand the field’s understanding of the breadth and depth of activity.
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The Mathematical Corporation: Where Machine Intelligence and Human Ingenuity Achieve the Impossible
How companies in industries such as pharmaceuticals are starting to learn that by giving more data away, they actually get more back.
Cultivating Legitimacy in Philanthropy
It’s worth remembering that communities have the power to take away philanthropy’s social license to operate.
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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.
Using Collaboration to Harness Big Data for Social Good
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.
Inclusive Prosperity in an Age of Local Action
Communities cannot and should not wait for external forces to bridge local opportunity divides.
Down the Rabbit Hole? Impact Investing and Large Foundations
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.