Global catastrophic risks (GCRs) present complex challenges for researchers, funders, and policymakers who need to allocate limited resources effectively. Currently, there's no standardized way to assess different GCR interventions based on their risk characteristics, making it difficult to balance portfolios or identify complementary approaches across domains.
One potential solution could involve developing a classification system that evaluates GCR projects along multiple dimensions:
This framework might help organizations visualize their risk exposure, identify concentration in certain areas, and build portfolios matching their risk tolerance. For researchers, it could highlight where new projects might fill gaps in the risk landscape.
An initial version could start with a simple spreadsheet template scoring projects on 3-5 key risk factors. More advanced versions might include:
The approach would differ from existing cause-area classifications by focusing on decision-relevant risk characteristics rather than just research topics or funding categories.
Such a system could help align incentives by creating transparent standards for risk assessment. Funders might better understand trade-offs, while researchers could position their work more clearly in the broader landscape. However, maintaining accurate assessments over time and preventing score manipulation would require careful design - perhaps through third-party evaluations and regular updates.
While the core framework might remain a public good, supporting services like customized analyses or training could potentially sustain the initiative long-term.
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