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How To Think Like An Instructional Designer for Your Nonprofit Trainings

Beth's Blog: How Nonprofits Can Use Social Media

All of my work these days is focused on designing and delivering effective training for nonprofits -primarily on the topics of social media, strategy, networks, and measurement. As someone who has been designing and delivering training for nonprofits over the past twenty years, the most exciting part is apply theory to your practice.

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The Theoretical Reward Learning Research Agenda: Introduction and Motivation

The AI Alignment Forum

Finally, in the last post, I will also provide some resources for anyone who wants to contribute to this (or similar) research, in the form of both open problems and some thoughts on how these problems could be approached. A nave answer might be to measure their L 2 -distance.

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Strengthening program evaluation in your nonprofit

ASU Lodestar Center

As nonprofits attempt to tackle some of our communities' most difficult problems; funders, government agencies and the general public are actively calling for accountability, transparency and proof that a program is producing change. The root problem here is poor evaluation capacity. Illustration by Jocelyn Ruiz.

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Other Papers About the Theory of Reward Learning

The AI Alignment Forum

To me, the main takeaway from this paper is that we should be careful with the assumption that the basic RL setting really captures everything that we intuitively consider to be part of the problem domain of sequential decision-making. This paper is discussed in more detail in this post.

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The Future of Social: Gen Z

NonProfit Hub

Beth is an expert in facilitating online and offline peer learning, curriculum development based on traditional adult learning theory and other instructional approaches. She has trained thousands of nonprofits around the world. Gen Z by the Numbers. Tips for Engaging Gen Z on Social and Mobile Channels.

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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

This guide provides an opinionated overview of recent work and open problems across areas like adversarial testing, model transparency, and theoretical approaches to AI alignment. Motivation: Two lines of recent work have looked for undesirable behaviors in LLMs, approaching the problem from two different angles: Andriushchenko et al.

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AAM 2010 Recap: Slides, Surprises, and a Banjo

Museum 2.0

She has functionally branded herself in the institution as the person who is helping other staff members learn about innovative technologies, try new experiments, and measure their attempts. Basically, the idea is that most organizations learn in a single loop that connects programs to results. She keeps a failure portfolio.

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