> For the complete documentation index, see [llms.txt](https://globalimpact.gitbook.io/the-unjournal-project-and-communication-space/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://globalimpact.gitbook.io/the-unjournal-project-and-communication-space/policies-projects-evaluation-workflow/communicating-results.md).

# Communicating results

## Curating and publishing evaluations, linked to research

* [Unjournal PubPub page](https://unjournal.pubpub.org/)
  * Previous/less emphasized: Society[ Group: curating evaluations and papers](https://sciety.org/groups/the-unjournal/about)
* Evaluations and author response are given DOI's, enter the bibliometric record
  * Future consideration:
    * "publication tier" of authors' responses as a workaround to encode aggregated evaluation
    * Hypothes.is annotation of hosted and linked papers and projects (aiming to integrate: see: [hypothes.is for collab. annotation](/the-unjournal-project-and-communication-space/tech-tools-and-resources/other-tech-and-tools/hypothes.is-for-collab.-annotation.md))
* Sharing evaluation data on public Github repo (see [data reporting here](https://unjournal.github.io/unjournaldata/))

## Aggregating evaluators' ratings and predictions

We aim to elicit the experiment judgment from *Unjournal* evaluators efficiently and precisely. We aim to communicate this quantitative information concisely and usefully, in ways that will inform policymakers, philanthropists, and future researchers.

In the short run (in our pilot phase), we will attempt to present simple but reasonable aggregations, such as simple averages of midpoints and confidence-interval bounds. However, going forward, we are consulting and incorporating the burgeoning academic literature on "aggregating expert opinion." (See, e.g., [Hemming et al, 2017](https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.12857); [Hanea et al, 2021](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412308/); [McAndrew et al, 2020](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7996321/); [Marcoci et al, 2022](https://bmcresnotes.biomedcentral.com/articles/10.1186/s13104-022-06016-0).)

*We are working on this in our public data presentation (Quarto notebook)* [*here*](https://unjournal.github.io/unjournaldata/)*.*

## Other communication

We are considering...

* Syntheses of evaluations and author feedback
* Input to prediction markets, replication projects, etc.
* Less technical summaries and policy-relevant summaries, e.g., for the [EA Forum](https://forum.effectivealtruism.org/), [Asterisk magazine](https://asteriskmag.com/), or mainstream long-form outlets


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://globalimpact.gitbook.io/the-unjournal-project-and-communication-space/policies-projects-evaluation-workflow/communicating-results.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
