Insights

Closing the loop on our inquiry-driven approach means we share what we’re learning. Click on the filters below to explore insights from us and our network.

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March 26, 2024/From Our Grantees

Incentivizing a Culture of Feedback Among Funders

The Feedback Incentives Learning Group is a group of funders and philanthropy support organizations dedicated to exploring ways to support nonprofits and motivate foundations to listen to and act on feedback from those at the heart of their work. At the heart of the learning group is the hypothesis that when stronger rewards for organizations that listen well are in place, thousands more nonprofits and funders will improve how they listen and respond to the people they serve.

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March 20, 2024/Reflections

Highlights from our trip to SXSW EDU 2024

Early this March, Siegel staff members from our research, grants, and external engagement team traveled to Austin, Texas, for SXSW EDU 2024.  We met with old and new partners, attended learning sessions, and hosted events throughout the week with a dedicated focus on working together to imagine what the future of education may look like.

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March 19, 2024/From Our Grantees

Case Study: Computing Talent Initiative’s Accelerate Program

By developing capacity at institutions with untapped potential computing talent, investing in quality instruction and applied learning opportunities, and building bridges between this diverse group of computing students and industry, CTI provides a promising path for fostering socioeconomic diversity in a tech sector that often struggles to recruit diverse candidates.  

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March 12, 2024/From Our Grantees, Research

Q&A with Siegel Research Fellow Alumnus and Assistant Professor at Cornell University J. Nathan Matias

Siegel Research Fellow Alumnus and Assistant Professor at Cornell University, J. Nathan Matias, reflects on the benefits of involving the public for more comprehensive AI research.

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February 22, 2024/Big Ideas

Playback: Katy Knight and PIT-UN Leaders at SIDGE Symposium

The rapid development and deployment of artificial intelligence (AI) technologies has far outpaced society’s ability to understand its implications, and the government’s ability to regulate these tools to prevent harm. But AI is not in the driver’s seat, people are. This panel discussion centered communities in the conversation, and going beyond AI hype and doomism to explore an alternative future: one rooted in wellbeing, ethics, and justice.

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February 21, 2024/Big Ideas, News

Announcing the $2.2M Learning Landscapes Challenge

Siegel Family Endowment and the Walton Family Foundation have come together to launch the Learning Landscapes Challenge – a $2.2 million competition to design and build future-ready K-12 education environments.

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February 20, 2024/Reflections

Feature: Equitable Grantmaking and Leveraging Demographic Data with GivingData and Candid

Siegel implemented GivingData as our first-ever grants management system just last year. We were thrilled to sit down with our partners at GivingData and Candid to explore how the implementation lead us to revamp our data collection protocol and processes, aligned with our vision for effective philanthropy and equitable grantmaking.

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February 13, 2024/From Our Grantees

The Win-Win of Hosting a build4good Intern

Bringing two of Siegel’s grantees together, Stef Mills reflects in this Q&A on the value of Digital Promise’s partnership with the public interest technology program build4good.

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February 5, 2024/Reflections

You Spoke, We Listened: Our 2023 Feedback Report and How We’re Responding

As part of our commitment to effective philanthropy, Siegel Family Endowment collects annual feedback from our grantees. Read about the key themes put together by our third party interviewer – and how we plan to respond.

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February 5, 2024/Big Ideas, News

Playback: Siegel’s 2024 Ask-Me-Anything”

We hosted an an “Ask-Me-Anything” webinar to share our plans for 2024 and open the floor to any questions about it. You can find the recording and presentation used here.

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January 22, 2024/From Our Grantees, Research

Q&A with Siegel Research Fellow and Senior Researcher at the Data & Society Research Institute Ranjit Singh

Siegel Research Fellow, Ranjit Singh, reflects on the possibilities and limits of red-teaming for AI accountability.

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