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.
Video
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.
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Drowning in Data
Funders are calling for more program evaluation, but nonprofits are often collecting dubious data, at great cost to themselves and ultimately to the people they serve.
Collective Impact
Large-scale social change requires broad cross-sector coordination, not the isolated intervention of individual organizations.
Plotting Impact Beyond Simple Metrics
For NGOs, impact comes in different forms and to track the cycles of social change work, we must think across the tangibility and the speed of emergence of change.
Ten Nonprofit Funding Models
With an understanding of these 10 funding models, nonprofit leaders can use the for-profit world's valuable practice of engaging in succinct and clear conversations about long-term financial strategy.
The Bias of ‘Professionalism’ Standards
Professionalism has become coded language for white favoritism in workplace practices that more often than not leave behind people of color. This is the fourth of 10 articles in a special series about diversity, equity, and inclusion.