Category: Conversations

Using Consequence Scanning to Mitigate Harm

Samantha Brown of Doteveryone explains how data practitioners can design for the best possible outcome.

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Meeting the Challenge of Impact Evaluation 

Nick Hamlin of GlobalGiving explains how the organization ran an impact study to measure its own effectiveness and why all nonprofits should follow suit.

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Bridging the Gap of Humanitarian Data

Stuart Campo of UNOCHA’s Centre for Humanitarian Data explains how challenges related to managing data risk in the sector are breathing life into a new set of working guidelines for data responsibility.

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The Problem with Palantir

For our first 4Q4 podcast, we invite the The Engine Room’s Zara Rahman to shed light on a new partnership between WPF and Palantir Technologies, a US company with ties to intelligence communities.

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Predict-a-palooza: Civil Society Forecast 2019

Podcast and Transcript: An expert panel and our virtual audience forecast the most important trends and challenges facing digital civil society in 2019.

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How #GivingTuesday Transcended Borders

GlobalGiving’s Marlena Hartz interviews one of #GivingTuesday’s chief architects, who explains how peer learning has seeded a new global ecosystem. The secret to the movement’s success may surprise you.

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#GivingTuesday Data Collaborative

Podcast and Transcript: Lucy Bernholz, Asha Curran, and Josh Levy discuss building a governance plan and digital infrastructure for giving data worldwide.

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Algorithmic Bias: Better Policy and Practice for Civil Society

Podcast and Transcript: Experts in tech and data ethics explore how civil society organizations can work toward better policy for predictive technologies.

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The Internet of Things: Risks and Rewards of a Connected Future

Podcast and Transcript: Nonprofit tech experts discuss how the Internet of Things has sparked a new era of social impact.

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The Data Culture Project: Building Data Capacity with Confidence

Data culture experts discuss a hands-on, self-service curriculum that empowers professionals of all experience levels to work with data.

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