Announcing A Volunteer Research Team at EA Israel!

By EdoArad @ 2020-01-18T17:55 (+28)

Summary

We're starting a coworking group for research related projects in EA Israel. We meet weekly, the work is mostly on individual projects I've curated or chosen in advanced by the volunteer researcher.

The goals are

  1. Making the process of getting into EA (and EA research) easier.
  2. Experimenting with a scalable structure for co-working groups and project management.
  3. Actually providing some direct value.

In this post, I aim to explain the structure of our group and the reasoning behind it.

I'll mention upfront that I'm very interested in making more connections with existing organisations and other local groups to share knowledge and to collect more research/project requests and other possible collaborations. See the last section of this post.

Background

Existing bottleneck in EA community building - transition from moderate to high engagement

The recent EA leaders survey suggested that a key bottleneck in our EA community funnel is

More dedicated people (e.g. people working at EA orgs, researching AI safety/biosecurity/economics, giving over $1m/year) converted from moderate engagement due to better advanced engagement.

At the start of 2019, there was a lot of discussion in the forum about What to do with people, considering that it is difficult to get hired by an EA org. There seems to be a problem where many promising people interested in EA can't find a way to directly contribute.

This is arguably a major problem that directly slows down the EA endeavor, and more clearly it is a bottleneck in the growth of our community. It may be better if they earn-to-give or build career capital, but that may not answer the social need to be a more integral part of the EA community (which may help to improve dedication and reduce Value Drift).

Lack of infrastructure to support volunteers

EA is Network Constrained. Especially problematic are the low management and mentorship capacity, which is extra costly because EA is also Vetting Constrained. It is difficult to estimate how good a volunteer will be, and this makes it difficult and costly for EA organisations to use volunteers effectively, which also means that there are fewer volunteering opportunities.

Also, many EAs lack relevant experience to do direct work well. From the recent survey,

In the 2019 EA Survey, we asked respondents about areas in which they had at least 3 years of work experience or graduate study. [...] There were 462 EAs (38%) who selected at least one of the most common areas cited in the leaders forum survey [as talents most needed in the EA community].

These considerations makes it harder for people who are new to EA, and have a specific set of interests and capabilities to actively participate in the EA community. This is the place where we think that local communities can serve as a gateway.

Israel EA Population

We feel that the above is true of our community in Israel. We've seen that many people are very interested in EA, and many of them are interested in contributing. However, we've found it challenging to convert people from interested casual participants to dedicated community members, and a big part of that has been generating volunteering or research opportunities that we believe are both impactful but also provide personal fit to the individual.

In a future post we will describe EA Israel. For this post, I'll just mention that Israel has a strong research community (especially in ML, clean meat, game theory, decision theory, behavioural psychology, and math and CS in general).

Research projects

I'm using the term "research" quite loosely here, which can be for example anything which results in a suggestion to an existing organisation, a forum post, a directive for subsequent direct work.

Research questions and Project list

I have collected a small list of concrete research questions and projects, with an associated guide - found here. This may be of interest to newcomers to EA who do not have a clear idea of what they want to work on, or as a collection of projects to be used by organizations or local communities when trying to set a research agenda.

From my talks with researchers at various EA organisations (in and out of the academia), it seems difficult to have part time, non-expert volunteers actually contribute to an existing research agenda. One of my goals is to see if we can find ways to meaningfully contribute without taking much time from expert researchers.

The main motivation for that is to have a list of ready-to-use ideas for research projects which are self contained, actionable, clear and short-termed.

Coworking group

At each session, each participant works on her own project. Some projects might be in teams, but I expect that it would mostly be individual as there is a lot of different expertise and interests. The coworking group is open to EA-projects which are not necessarily research.

If we feel like it, we use Pomodoro schedule of 25 minutes work and 5 minutes break. We take an hour long break in the middle for lunch (funded by CEA) and a status update round.

Some concrete features and guidelines:

Atmosphere

The coworking sessions should be fun, productive and supportive. This starts with good people. Also important are good food and a comfortable space.

I'll personally try to make sure that everyone is comfortable, that they know each other and know what they want to do at each session.

Mentorship and management

We want the group to become a place where participants can get experience and to help them become more connected to the global EA sphere.

I have some relevant research and management experience. This is useful, but I do not think that it is necessary in order to start such a group, as long as you have the right people and can foster a good environment.

What will be a success?

Some estimated metrics, evaluated as the results from now to the start of 2021, that help me convey a gut feeling of what I view as an OK outcome (the minimal outcome below which there is probably something very wrong) and a Great outcome (above which there is probably something very right!).

*An important outcome can be something like the following: a small but visible change in views for some community leaders in EA or for a significant population, a useful framework/tool/information that impacts some decision makers, correcting a major mistake in a paper or important post, a major contribution to an organisation equivalent to two weeks of expert work, or perhaps $2K of 2022 Impact Prize 😉

I would also like to measure how much we (the global EA community) will learn from this experiment, the resulting infrastructures that we'd help create (say, an updating list of important research projects for newcomers), more volunteers and interns at EA orgs, connections we'll make with the global EA community, improved basic skills for us researchers and how much fun this will be. But I think of these as correlated or secondary to the above goals and I do not intend to maximise for them.

What will be a failure

What I want from you


Ben_West @ 2020-01-30T23:16 (+2)

Thanks for sharing this! It seems like a really exciting project, and I hope you continue to post updates. Very cool that you have explicit success metrics.

A semi-research thing I'm interested in is putting more information on Wikipedia. I wrote a little bit about this here. I suspect that for people who are new to research, or aren't entirely sure what subject they want to research, making existing research accessible is a similar task which is also quite useful for the world.

EdoArad @ 2020-01-31T05:17 (+3)

Thanks! We do have that as a possible project on our project list, but it wasn't on my mind as one of the first things to go for. And you are right that especially for people without much experience this really makes a lot of sense. Added to our workflow :)