Sun.Feb 26, 2023

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2023 Nonprofit Leadership Impact Study

NonProfit PRO

Insights Into the Successes and Struggles of Today’s Nonprofit Leaders

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“Doing the right thing” over “doing things right,” a critical principle for advancing equity and justice

Non Profit AF

Hi everyone. If you’ve been following this blog, you know that I try to call out crappy or nonsensical things.

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Digital Public Policy: New Priorities for Nonprofits

Philanthropy 2173

Photo by Kier in Sight on Unsplash Proud to say this article, " Digital Public Policy: New Priorities for Nonprofits " has just been published. It is derived from lessons learned preparing the Integrated Advocacy report and this article on media coverage of civil society and covid. My co-authors, Toussaint Nothias and Amelie-Sophie Vavrovsky and I outline the many ways in which civil society is now bounded by and dependent on the many public policy domains that shape digital spaces.

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Nonprofit Radio for February 27, 2023: Resilience & Lean Risk Management

Tony Martignetti

Ted Bilich: Resilience & Lean Risk Management Ted Bilich wants you to develop a risk management cycle and incorporate lean principles, so you confront negative risks and exploit positive risks. He’s the author of the book, “Managing Your Nonprofit for Resilience.” Listen to the podcast Get Nonprofit Radio insider alerts! … Continue reading Nonprofit Radio for February 27, 2023: Resilience & Lean Risk Management → Ted Bilich: Resilience & Lean Risk Management Ted Bili

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From Curiosity to Competitive Edge: How Mid-Market CEOs Are Using AI to Scale Smarter

Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage

This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.