Answering on behalf of The Humane League (THL)! THL currently has room for funding of $10.5 million to grow our Open Wing Alliance and our Animal Policy Alliance.
Open Wing Alliance (OWA)
We have developed a robust expansion plan for the OWA through 2030, which we would be able to put into place with significant additional funding. The goal is to free one billion hens from cages by 2030 and achieve a critical tipping point in the fight to eradicate the battery cage. .
To achieve this, we aim to strengthen the OWA by recruiting new member organizations in high priority regions around the globe. But to do that, we first need to build internal capacity. Our current model—having a single regional OWA coordinator to support many member groups with differing needs across an entire continent—is no longer sustainable. But we see great interest from groups in the OWA’s offerings, so we know we are poised to build an even more robust global coalition.
To meet the need, we need to create small teams in key regions around the world to support the specific needs of groups in each region, including in Asia-Pacific, the Americas, and EMEA (Europe, Middle East, Africa). We would need to hire more campaigners, corporate negotiators, animal welfare scientists, and regional support team members. We estimate we will need an additional $8 million in 2025 and beyond. In addition, we would also need to scale up our core supporting teams (Operations, Communications, and Development) in order to meet the needs of the expanded OWA and Global Teams—a lesson learned from historical THL growth periods.
In addition, we also aim to provide much-needed grant funding to animal protection groups. Each year, we hope to distribute $2 million to $2.4 million in OWA grants. (In 2024, we provided more than $2 million in grant funding to 38 OWA groups.) These grants are transformative and flexible, covering general operating support, staff expenses, and campaign materials. But as of November, we have no committed funding for OWA grants in 2025 and beyond. Consequently, these grants will come from THL’s final 2025 annual operating budget budget.
Animal Policy Alliance
Another program primed for expansion is our Animal Policy Alliance, a coalition of organizations across the United States fighting for meaningful change for animals through public policy.
Launched by THL in 2022, the APA organizes, unites, and empowers local and state-level animal advocacy groups focused on issue-based advocacy and legislative change for animals raised for food. The APA has been behind some significant victories for animals, including getting octopus farming banned in Washington and California.
Our current goals for the APA include growing it from 23 to 30 active members, building power, and providing grants that will permit APA groups to carry out meaningful work.
While we distributed $500k in grants to APA members in 2022, we’ve been unable to sustain that level in the years since. But we are confident that in 2025 we could effectively deploy up to $750k in grants to APA members. The need for funding among our member groups is strong, and there are dozens of groups eager to expand their advocacy for farmed animals. But as of November, we have no committed funding for APA grants in 2025 and beyond, and any funds available will depend on THL’s 2025 operating budget. Any regranting funds we receive could allow us to maintain momentum as we build progressively stronger US policy protections for farmed animals.
As we expand the alliance and rebuild our grant program, we would also need to expand the APA team and core teams, which we estimate would cost $1 million in 2024 and $1.5 million in 2025.
For full details of THL’s room for more funding, check out this post!
Answering on behalf the Quantified Uncertainty Research Institute!
We're looking to raise another ~$200k for 2025, to cover our current two-person team plus expenses. We'd also be enthusiastic about expanding our efforts if there is donor interest.
We at QURI have been busy on software infrastructure and epistemics investigations this last year. We currently have two full-time employees - myself and Slava Matyuhin. Slava focuses on engineering, I do a mix of engineering, writing, and admin.
Our main work this year has been improving Squiggle and Squiggle Hub.
In the last few months we’ve built Squiggle AI as well, which we’ve started getting feedback on and will write more about here shortly. Basically, we believe that BOTECs and cost-benefit models are good fits for automation. So far, with some tooling, we think that we’ve created a system that produces decent first passes on many simple models. This would ideally be something EAs benefit from directly, and something that could help inspire other epistemic AI improvements.
On the side of software development, we’ve posted a series of articles about forecasting, epistemics, and effective altruism. Recently these have focused on the combination of AI and epistemics.
For 2025, we're looking to expand more throughout the EA and AI safety ecosystems. We have a backlog of Squiggle updates to inform people, and have a long list of new things we expect people to like. We've so far focused on product experimentation and development, and would like to spend more time on education and outreach. In addition, we'll probably continue focusing a lot on AI - both on improving AI systems to write and audit cost-effectiveness models and similar, and also on helping build cost-effectiveness models to guide AI safety.
If you support this sort of work and are interested in chatting or donating, please reach out! You can reach me at ozzie@quantifieduncertainty.org. We're very focused on helping the EA ecosystem, and would really like to diversify our base of close contacts and donors.
DonateQURI is fiscally sponsored by Rethink Priorities. We have a simple donation page here.
To give these questions full justice would take quite a while. I'll give a quick-ish summary.
On Guesstimate and Squiggle, you can see some of the examples on the public websites. On Guesstimate, go here, then select "recent". We get a bunch of public models by effective altruist users. Guesstimate is still much more popular than Squiggle, but I think Squiggle has a decent amount more potential in the long-term. (It's much more powerful and flexible, but more work to learn).
I think Guesstimate is continuing to hold fairly steady, though is slowl... (read more)