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Is Your Remote Team Getting the TLC They Deserve? An Audit Delivers Answers

.orgSource

A spontaneous cruise of the office was an effective strategy for evaluating a variety of business indicators. The desire to be fully aware of the strengths and weaknesses of your team drives this type of evaluation. If performance issues have been a problem, keep an open mind. Remember Management by Walking Around?

Team 221
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An Evolution of Evaluation in Grantmaking With a Participatory Lens

sgEngage

Power Imbalance in Traditional Evaluation As grantmakers, we tend to monitor and evaluate our strategies and programs using metrics that we deem important. On its face, evaluation seems like a neutral activity, designed to help us understand what’s happened, and to change course where needed. Who decides what is measured?

professionals

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Highlights from Candid’s most popular philanthropic resources in 2023?

Candid

Candid’s Issue Lab is dedicated to collecting, preserving, and sharing social sector knowledge. It outlines 10 core principles for philanthropy serving organizations (PSOs) to enhance their impact and contribute to broader systems change. This evaluation looks at one such program, Supporting Education and Employment Development (SEED).

Resource 119
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How can nonprofits implement a strategic public policy agenda to achieve greater impact?

ASU Lodestar Center

Public policy and the nonprofit sector. Public policy at all levels of government has the ability to threaten the work of all nonprofits (National Council of Nonprofits, 2019). At the federal level, we see this threat in tax, regulatory, and spending policies. Illustration by Yuxin Qin. Establish support.

Policy 52
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Doing good with AI tools: Navigating ethical considerations for the social sector 

Candid

Ease of access means that with more people using these systems, the potential impact of unethical use grows. In the very early days of AI at Candid, our grants auto-coding system, which predicts Philanthropy Classification System (PCS) codes from the text, exhibited signs of social biases. What can bias look like in the data?

Tools 52
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If Racial Equity is Our North Star, How Can We Navigate Racial Bias in AI/LLMs?

John Kenyon

The Bias Issue AI systems like LLMs are trained on vast datasets of text, primarily from the internet. Trying to use an unaltered LLM “out of the box” for important equity-related applications raises clear issues around representational harm and perpetuating racial stereotypes. Complement with human judgment.

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Philanthropic collaboratives are finding ways to more effectively measure impact

Candid

In a 2022 survey, nearly 70% of respondents cited building measurement, evaluation, and learning capabilities as a critical area in which they would like to invest. In our study How Philanthropic Collaboratives Measure, Evaluate, and Learn , we examined three levels of impact: grantees, systems or fields, and donors.

Measure 59