Thanks for asking this question. I support and follow the approach of asking relevant people in the space for input to a research agenda. I am happy to see that other organizations are also doing it.
Meta-thoughts on how to approach this selection task would also be handy.
Your question inspired me to write a short post on a methodology of systematically integrating stakeholders' and decision-makers' input into the research agenda. You might find this meta-methodology helpful.
Out of the areas you mention, I'd be very interested in the following:
Animal product alternatives 6/10
Pain relief in developing countries 6/10
Improving science 9/10
Ideas not included on your list:
GiveWell recently published its list of areas they are planning to explore. I think some of them might be of interest to donors focused on improving the welfare of the current generation of humans and high-income countries’ problems.
- Tobacco, alcohol, and sugar control
- Air pollution regulation
- Micronutrient fortification and biofortification
- Improving government program selection
- Improving government implementation
- Immigration reform
- Mosquito gene drives advocacy and research
- Mental health (interventions comparison)
- Sleep quality improvement
As you know, GW’s research is very diligent. Consequently, it takes a long time to finalize. I would be interested in having preliminary research conducted by other organizations.
Regarding donors focused on animal welfare:
- Producers’ outreach, for example,. providing subsidization for farmers interested in higher-welfare farming
- CRISPR-based gene drives to address wild animals’ suffering
- WAS intervention comparison
- Affecting law and law enforcement focused on welfare improvements for chicken and fish in Asia
- Insects’ welfare, intervention comparison, for example, reduction of the production of silk, painkillers for insects used in research, etc.
I am currently working on CE’s agenda for the next year in the area of global poverty/health, animal advocacy, and mental health. I will be able to list more areas and research questions worth investigating that CE cannot cover this year at the end of September. I am narrowing down a list of research ideas from 400 ideas (in three cases). Let me know if you are interested in hearing more about it.
[My views only]
Thanks for putting up with my follow-up questions.
Out of the areas you mention, I'd be very interested in:
I'd be interested in:
I'd be a little interested in:
I think the other might be disadvantageous based on my understanding that it's better for EA to train people up in longtermist-relevant areas, and be percieved as being focused on the same.
Out of those you haven't mentioned, but that seem similar, I'd also be interested in:
+1 to doing something with Sci-Hub.
Sci-Hub has had a huge positive impact. Finding ways to support it / make it more legal / defend it from rent-seeking academic publishers would be great.
Thanks a lot for this Ryan. Re promoting science, what do you make of the worry that the long-term sign of the effect of improving science is unclear because it doesn't produce differential technological development and instead broadly increases the increase of all knowledge, including potentially harmful knowledge?
I think it's a reasonable concern, especially for AI and bio, and I guess that is part of what a grantmaker might investigate. Any such negative effect could be offset by: (1) associating scientific quality with EA/ recruiting competent scientists into EA, (2) improving the quality of risk-reducing research, and (3) improving commentary/reflection on science (which could help with identifying risky research). My instinct is that (1-3) are greater than risk-increasing effects, at least for many projects in this space and that most relevant experts would think so, but it would be worth asking around.
I'm curious what this is referring to. Are there specific instances of such pressure being applied on Open Phil that you could point to?
Not sure if this counts, but I did make a critique that Open Phil seemed to have evaluated MIRI in a biased way relative to OpenAI.
I don't have any inside info, and perhaps "pressure" is too strong, but Holden reported recieving advice in that direction in 2016: