Open Collaboration programs support innovation and production systems that rely on goal-oriented yet loosely coordinated participants who interact to create a product of economic value made available to contributors and non-contributors alike. It includes outputs such as open code, open access, and open education to support Citizen Science, Risk Management, and Systems Innovation. Open Collaboration is a policy priority for the GCRI and the standard working method under MPM, as it improves quality, efficiency and responsiveness. We work with QH partners to support CoA, CoQ, CoE, and CoI for Open Collaboration Programs and accelerate public participation in research, policy, and development. Our ECT focuses on new mechanisms such as QV/QF to effectively link Open Collaboration Practices to legal frameworks and help members manage risks such as Intellectual Property Rights (IPR), licensing agreements, interoperability, and data reuse.
Open Collaboration programs support innovation and production systems that rely on goal-oriented yet loosely coordinated participants who interact to create a product of economic value made available to contributors and non-contributors alike. Programs include open code, open access, open science and open education. Open Collaboration is a policy priority and the standard working method under MPM, as it improves the quality, efficiency and responsiveness of the GCRI's knowledge ecosystem.
QH stakeholders can use MPM to design pathways and streamline Open Collaboration initiatives, allowing participation, engagement, and validation as early as possible in the research, design, and development process. Open Collaboration programs affect institutions and science practices by bringing about new ways of funding (QV/QF), evaluating (PoC) and rewarding (CRS). They are designed to increase the quality and impact of science and innovation by fostering reusability, reproducibility and interdisciplinarity. The goal is to make science more efficient through better sharing of resources, more reliable through better verification systems and more responsive to society's needs through skills development and micro-credentials.
We work with QH stakeholders to recognize CoA, CoQ, CoE, and CoI for Open Collaboration streams and accelerate public participation in research, policy, and development programs. In addition, we work with international partners under ECT to effectively link Open Collaboration programs to legal frameworks and help members manage innovation risks such as Intellectual Property Rights (IPR), licensing agreements, interoperability, and data reuse.
To refresh our ideas of ownership and governance, we are designing and experimenting with new and remembered ways of working together, sharing resources, group decision making. We learn how to steward commons, resources, and people's power for sustainable development and resilience building
We support innovation, collaboration and knowledge-sharing amongst our members, partners and the broader research, development, and education communities. Our WILPs streamline the identification, mitigation, and evaluation of Risks, followed by the optimal use of GRIx to tackle Issues and manage adverse impacts. They provide secure network platforms that enable citizens to participate in MPM, and use iVRS to report risks and values anywhere. Risk Pathways deliver out-of-the-box CRS functionality to meet institutional requirements, including SCF taxonomies for digital-green skills, compliance frameworks and real-time validation systems. They help members and QH stakeholders with DICE to navigate essential resources and find the right levers across the public-private-planet landscape.
GCRI platforms consist of credit pools built for the skills development and competencies required for the twin digital-green transition. Achievements on the network are being vetted and approved through peer review and a novel Proof-of-Competence (PoC) mechanism. Using GCRI's multi-platform network, large organizations can build a matrix of Competence Cells (CCells) in digital twins and run a powerful semi-autonomous engine for micro-production (MPM) in zero-trust mode. Empowered by integrated CRS, digital twins perform in high-risk and fast-failing environments to tackle complex issues. Also they provides a productive environment for participants to collaborate with QH partners and acquire new knowledge, skills. competencies and careers