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Coefficient Giving — Global Catastrophic Risks Opportunities Fund

typical check size
$10k–$500k; many individual grants in the $25k–$100k range (approximate)
yearly spend
on the order of $20–40M/year across GCR capacity-building programs (approximate)
grants per year
hundreds of mostly-small grants/year (approximate)
as of
2026-08 (approximate)

Thesis

The GCR Opportunities Fund is Coefficient Giving's cross-cutting fund for strengthening the ecosystem of people and organizations working on global catastrophic risks — primarily risks from advanced AI and catastrophic biological risks. Where the Navigating Transformative AI Fund backs research organizations directly, this fund invests in the talent pipeline and field infrastructure around them.

It funds individuals at any career stage — graduate study, career transitions, unpaid internships, independent study — and programs and events: fellowships, residencies, courses, seminars, conferences, workshops, and retreats on GCR, effective altruism, and adjacent topics. It is open to applicants in any country and runs rolling applications.

The fund's implicit bar is talent-multiplier logic: a grant is good if it moves capable people into high-impact GCR work or strengthens the field's infrastructure at low cost. Typical checks are small relative to org grants, and the fund tolerates high variance across many small bets. It inherits Open Philanthropy's GCR capacity-building program's style: generous with promising individuals, skeptical of vague community projects without a clear path to talent or research output.

Grantmakers

  • Eli RoseSenior program officer for GCR capacity building at Open Philanthropy/Coefficient Giving. (approximate — team details compiled quickly)
  • Claire ZabelLongtime leader of Open Philanthropy's GCR capacity-building grantmaking. (approximate)

Process

Rolling applications for career development/transition funding and for programs & events funding; relatively fast, lightweight decisions on small individual grants. NOTE: this rubric is a best-guess approximation compiled 2026-08 without exhaustive verification.

Sources