Mission and objectivesMission To create a unique nexus where civil society meets and engages the academy, industry, and government to collectively mitigate risks and make smarter decisions toward more resilient, democratic, and prosperous communities. As a centre of excellence, GCRI excels in research, innovation, and capacity building across enterprise risk and innovation management, addressing the societal impacts of technological disruptions and financial evolution. Uniting experts from economics, finance, policy, and technology, we are committed to building interdisciplinary tools, capacities, and communities for risk mitigation, resilience building, and sustainable development Objectives GCRI's objectives include: 1. Global Knowledge Exchange: Creating a platform for interdisciplinary discussion and research on risk and resilience, fostering global collaboration among industry leaders, academics, policymakers, and practitioners 2. Standardization and Metrology: Developing and promoting standards and measurement practices to enhance the reliability and interoperability of risk management strategies. 3. Systems Innovation: Building tools, capacities and communities for the development and application of risk management technologies, standards, and innovation ecosystems. 4. Scholarly and Industry Publications: Publishing standards, reports, and scholarly articles to contribute to academic and practical discourse in risk management. 5. Liaison with Global Entities: Engaging with civil society and maintaining technical interactions with international entities to promote a unified approach to risk management challenges. 6. Advanced Study: Investigating fundamental and applied domains related to risk management, including natural and human-induced risks, and developing advanced tools for risk intelligence and emergency management
ContextObservatory Protocol (OP) is a next-generation open-source ecosystem designed for trustless, verifiable, and serverless compute infrastructure, purpose-built for agentic AI, disaster risk reduction (DRR), disaster risk finance (DRF), and global foresight systems. GCRI is developing OP as a flagship venture under the Nexus Ecosystem (NE) to provide high-assurance verification of AI-generated outputs in high-stakes environments. We are onboarding lead community developers to organize and build technical teams that will deliver modular, composable components of the OP infrastructure. This assignment is part of a globally coordinated, open-source development model aligned with UN principles, SDGs, and the Pact for the Future. Each selected volunteer will join a remote team of developers, architects, and researchers to deliver one of the Observatory Protocol's core technical components. You will work with your team to: Define scope, roadmap, and GitHub repositories Coordinate contributions across global time zones Integrate open standards, ethical AI practices, and cryptographic assurance Deliver tested, documented, and verifiable code/modules under permissive open-source licensing
Task DescriptionWe are seeking Online Volunteers to support the development of a lightweight, verifiable compute container designed to execute AI models securely and reproducibly. The Online Volunteer(s) will contribute to the following tasks: - Design and develop a sandboxed compute container (e.g. Docker or WebAssembly) to enable secure execution of AI models; - Implement features to ensure cryptographic integrity of outputs, including input/output hashing and signed telemetry; - Build a command-line verification tool and produce accompanying documentation; - Contribute to a public GitHub repository with test coverage and reproducibility demonstrations. All contributions will be developed in line with open-source standards and practices, with regular reviews and collaboration via online tools such as GitHub, shared documents, and virtual check-ins. Deliver one weekly code sprints: a verifiable compute container for AI Model execution. Description: Design and build a lightweight, sandboxed compute container to run AI models with cryptographic integrity. Enable output verification, reproducibility, and audit logging in trust-critical environments. Measurements: One fully functioning container template (Docker/Wasm) Input/output hashing and signed telemetry enabled CLI verifier tool implemented and documented GitHub repo with >80% test coverage and reproducibility demo ✅ Success After 12 Weeks: A production-ready, open-source module is published and adopted into the OP core stack, verified by at least one DRR/DRF use case and successfully tested across independent nodes.
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