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Let’s All Pull Together: Reflections from Harambee 2023

Candid

Here are some of my reflections and top takeaways from the conference. Voids and silences and erasures are signals for us to look behind them and pull forward what will feed us and heal us for the further work that we need to do,” she said. We each had the opportunity to elevate a woman from the past who is a part of our journey.

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How Nonprofits Can Steward Corporate Donors on Social Media

Nonprofit Tech for Good

Read on to learn how Feeding America and The Global FoodBanking Network have recently stewarded their corporate donors on social media. Feeding America. Feeding America. Feeding America is the second-largest nonprofit in the United States. Feeding America and Subaru.

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Grow the Human Skills: Critical Thinking, Creativity, Collaboration, and Communication

.orgSource

Applying reflection, reasoning, and individual experience to problem-solving is not part of the Summit supercomputer program, but it is an approach that is invaluable in making advantageous business decisions. The right team feeds off the energy of the group. The right team also feeds on the energy of the group.

Skills 221
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Build a Board for the Digital Future

.orgSource

Leaders and decision-makers should reflect those changes. The market feeds on a regular diet of unique ideas. Although there are still groups that look too much alike, every association is a brighter rainbow than it once was. It’s not just a question of demographics. Innovation is the protein of digital business.

Digital 221
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A Reflection on Networked Professional Learning

Beth's Blog: How Nonprofits Can Use Social Media

It gave me some reflection time away from the daily fast-paced, always moving forward world of social media. It gave me space to give social media use some mindful attention. There was a slowness to it that we don’t have with digital photography (perhaps because the slide film was expensive and we didn’t want to waste film).

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If Racial Equity is Our North Star, How Can We Navigate Racial Bias in AI/LLMs?

John Kenyon

This training data reflects the racial biases, stereotypes, and disproportionate perspectives of the world where the data comes from. Feed the system explicit instructions and examples displaying equitable behavior. How can we navigate this tension of racial bias in AI/LLMs? Humans must apply an equity lens. Context is key.

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Why practicing data hygiene can benefit your association staff and members

Nimble AMS

At worst, it can provide conflicting outcomes, not ultimately reflecting the truth of what’s happening.” . While feeding data from member accounts to generate value for the solution, Stark found a strong relationship between membership types and the likelihood of not renewing, to not renew, causing confounding results.