# Related/relevant projects/orgs *Note 7 Mar 2023: I just started this page, it is far from complete* ## Organizations and 'do' initiatives [Implementing ads, messages, designs](/untitled/marketing-and-testing-opportunities-tools-tips/implementation-and-collecting-data-issues.md#other-marketing-implementation-resources): Including (new) EA-aligned marketing groups ### EA-related giving initiatives {% embed url="" %} **Which links** [**THIS**](https://docs.google.com/spreadsheets/d/1OSv9vkW0UkTyOuwOnYZeFfiZT8hrF8DSvUIwKKfh95A/edit#gid=0) **spreadsheet** **Much of which is embedded into** [**THIS Airtable view**](https://airtable.com/shrRiyBGO4bD9VGW9) **as well** (which will have some further comments on the relevance, as well as organizations that are not-so-EA related, with discussion) {% embed url="" %} [Broken mention](broken://spaces/-Mf8cHxdwePMZXRTKnEE/pages/-MfFbg7rZrBhH6pm3_L4) (a list of orgs in the 'EA effective giving' space; private gitbook atm) ### Non or semi-EA initiatives ### EA or 'effective giving' orgs working with foundations and wealthy donors ## Research and information-gathering initiatives [**innovationsinfundraising.org** ](https://innovationsinfundraising.org/doku.php) **-** "The IiF wiki collects and presents evidence on the most successful approaches to motivating effective and impactful charitable giving, and promotes innovative research and its application." This precedes and is partially integrated into the current resource [**Rhetorical.org**](https://rhetorical.org/research-statement) > We are an academic collective and research non-profit, dedicated to providing public communication campaigns with cutting-edge research and rigorous tools for message development. > > "**Crowdsourcing"** ... Recent research suggests that regular people can often be far more effective than experts at predicting which messages will best resonate with others in their community. On [Adaptive design/sampling, reinforcement learning](/untitled/methodological-discussion/adaptive-design-sampling-reinforcement-learning.md)... > The challenge is that the “space” of messages for campaigns to decide between is enormous — there are very many things a campaign could say and many different ways to say them. Unfortunately, research shows that relying on theory and expert guidance about “what works” when designing campaign messages is unlikely to be effective by itself, because “what works” is difficult to predict and can change dramatically across contexts (e.g., see [\[1\]](https://www.frontiersin.org/articles/10.3389/fpsyg.2021.664160/full), [\[2\]](https://onlinelibrary.wiley.com/doi/full/10.1111/ajps.12703), [\[3\]](https://www.annualreviews.org/doi/abs/10.1146/annurev-polisci-051120-110428), [\[4\]](https://www.pnas.org/doi/full/10.1073/pnas.2115126119)). > > \--> > > * **Efficient message search.** We design research pipelines that allow campaigns to explore the large space of potential messages more efficiently, and to quickly zero-in on the most impactful messaging strategies. Our methodology is based on a combination of large-scale adaptive online survey RCTs, Bayesian machine learning and surrogate metrics. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://globalimpact.gitbook.io/untitled/partners-contexts-trials/related-relevant-projects-orgs.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.