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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Presentations and Panels
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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.
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Data On Purpose | Do Good Data: Opening Plenary
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.
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Taking the Governance Leap
SSIR managing editor Eric Nee moderates a panel organized by the Indian strategic philanthropy foundation Dasra on supporting good governance in India.
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When Are Big Bets the Right Bet?
When should funders commit to making multi-million dollar grants, and when should they take a more gradual, steady approach?
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Integrating Feedback Across a Nonprofit Business Model
Nurse-Family Partnership, a maternal-child health nonprofit, has incorporated ways to gather, interpret, and apply feedback into its nonprofit business model. Part of a series produced for SSIR with the support of the Hewlett Foundation.
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Communicating Our Values
In this video from The Communications Network's ComNet17 conference in Miami, Grant Oliphant, president of the Heinz Endowments, challenges communicators at social sector organizations not to hide behind silence when the values they stand for are being politicized.
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Data On Purpose | Do Good Data: Prediction vs Bias
Is it possible to use data to make predictions without enforcing existing biases?
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Data On Purpose | Do Good Data: When Data Science Meets Evaluation Practice
Rhonda Evans looks at lessons from Monitor Institute’s Re-imagining Measurement initiative.
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Data On Purpose | Do Good Data: Crowd Collectives to Tackle Problems at Scale
Stanford's Michael Bernstein discusses how computational systems can create collectives of experts to solve problems.