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Build a Community of Cause Champions

NonProfit PRO

Jamie Bearse of ZERO — The End of Prostate Cancer shares how his organization developed the ZERO Flywheel method to build and keep a community engaged. Organizations that seek to find growth and success depend on a cause community to carry them.

Causes 290
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The New Peer-to-Peer Landscape: A Shift From Hosting Events to Building Communities

NonProfit PRO

Instead of getting great at running events, we should have been systematizing and improving methods that foster community. We have been shouting at constituents instead of building ways for them to talk to each other. Providing peer-to-peer participants with a way to communicate with each other is key.

Community 262
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A Framework to Attract Digital Donors and Build Community

NonProfit PRO

Or, if you've started your digital transformation journey, are you stumped about how to scale your methods? Is your organization overwhelmed by the need to implement a comprehensive digital fundraising strategy?

Digital 246
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How Hebbia is building AI for in-depth research

Fast Company Tech

That method identifies relevant portions of a data set or collection of documents using an actual AI model rather than mere keyword or textual similarity matching, feeding what it finds into a nested network of AI models that can analyze portions of the data and intermediate results together.

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How to Improve Donor Retention: 3 Surprising Strategies from Top-performing Nonprofits

Nonprofit Tech for Good

Remarkably, fewer than 3% of fundraisers prioritize seamless payment methods like PayPal, Venmo, or Apple Payeven though nearly a quarter of donors prefer exactly these options. By regularly asking forand acting ondonor feedback, you’ll build the kind of relationships donors value. Your donors feel the same way about giving.

Retention 218
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Demystifying Ensemble Methods: Boosting, Bagging, and Stacking Explained

Machine Learning Mastery

This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task.

Method 115
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These Tiny Liquid Robots Merge and Split Like ‘Terminator’

Singularity Hub

Even soft robots made of flexible materials struggle to deform outside of the physical limits of their building blocks. Another way to build liquid robots is to encapsulate water or other liquids in an armor-like barrier. Traditional methods use spherical drops, which dont have a lot of surface area compared to their volume.

Sound 121