In this episode of the Philanthropisms podcast we talk to Ann Mei Chang, CEO of Candid, about the opportunities and challenges when it comes to collecting and publishing data on the nonprofit sector.
Including:
- How does Candid decide what data to collect beyond what’s available from IRS filings?
- How can we ensure that data collection benefits nonprofits rather than burdening them?
- How are nonprofits using Candid data?
- What role could the nonprofit sector take in modeling more ethical and transparent approaches to data collection and use?
- What kinds of data does Candid publish on federal funding for nonprofits, and how can this information help organizations and funders navigate potential funding cuts or shifts in today’s political environment?
- How can better data help make giving smarter, more equitable, and more collaborative?
- How important is data when it comes to building and maintaining public trust in philanthropy and nonprofits?
- How can we ensure that data reflects the diversity of the nonprofit sector and helps to close equity gaps?
- How is Candid using AI in its operations?
- How is the organisation partnering with tech providers?
- What role can better data play in helping nonprofits to navigate political and economic uncertainty?
Further Resources:
- Candid
- Press release: “Candid partners with Anthropic to bring trusted data to Claude for Nonprofits“
- Philanthropisms interviews with Asha Curran, J Bob Alotta, Aaron Horvath and Lucy Bernholz.
- WPM articles “Philanthropy at a Time of Chaos” and “Why Are We So Bad at Measuring Giving and Why Does It Matter?“
