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Science Policy.

We are focused on the governance of new technologies for advancing science, and the implications of the use of these new technologies for the public good.

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Science Policy
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Policy for Regenerative Future

Transformative policy requires resilient networks and democratic stewardship that unite a variety of actors and encourage a plurality of methods, perspectives, and skills, allowing for an agile, engaged, and inclusive environment

1. Collaboration
Research proposals are used to persuade potential stakeholders and funders that your work is worthy of their support
2. Governance
Community decides on research proposals via ranking, rating, and voting contests and view the results in real time
3. Funding
Quadratic funding is a precise formula we use for allocating a central matching fund optimally and democratically
4. Production
Research funds will be allocated to projects that serve the common good by contributing to the UNSDGs
5. Engagement
Take on a prominent societal role as a researcher and engage with the territorial community
6. Impact
Support radical transformation of present-day innovation systems into better alternatives
INDEPENDENT FRAMEWORK

Towards Open Science & Innovation Systems

GCRI enables building and institutionalizing a network of relationships among diverse actors and nurturing their commitment for systemic science policy for the complex and interconnected global and local challenges. We aim at increasing economic prosperity and social justice through open collaboration within planetary boundaries

Science Policy
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Science Policy
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Leverage the creativity and wisdom of the crowd by using GCRI's efficient crowdsourcing algorithms with a growing set of microtasks from the community.

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Join Quadruple Helix Innovation System

The Quadruple Helix Model of innovation recognizes four major actors in the innovation system: science, policy, industry, and society. In keeping with this model, more and more governments are prioritizing greater public involvement in innovation processes.

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Our research tribes will start not by defining the technical solution but by identifying the societal question (or goal) they will address through participatory, co-creative, and evolutionary processes, taking into account ethical values, cultural context, and societal dimensions

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What is science policy?
Science policy occurs at all levels of government. The use of scientific evidence to inform policy-making - “science for policy” - is distinct from policy for administering science systems - “policy for science.” Science policy, understood as science for policy, involves relaying scientific advice to policy-makers to help inform decision-making, through formal and informal channels, using skills that effectively translate specialized knowledge for ready use by policy-makers. Whether science policy is occurring at the local, national, or international level, science advice tends to fall into five broad categories. Technical advice is the ongoing input to departments and agencies provided by internal and external subject-matter experts. Regulatory advice supports the core mandates of regulatory agencies and science-based departments (e.g. aviation safety, pharmaceutical regulation, environmental protection). Deliberative advice is the examination of large, long-standing, or slow-burning problems by a panel of experts convened by government, typically involving consultations and other input mechanisms. Informal advice usually takes the form of on-demand advice given by trusted science advisors or scientists in civil society leadership roles (e.g. heads of science councils and academies). Finally, science advice in crises and emergencies is the scientific advice gathered from multiple sources and disciplines in response to urgent developments, often brokered by science advisors working closely with decision-makers. Effective knowledge brokerage in crisis scenarios is the role of the science advisor par excellence. While this typology focuses on the executive branch of government, depending on the constitutional arrangements in different countries, parliamentarians and legislators often also have sources of science advice independent of the executive and typically focused on reviewing proposed legislation.
How does science policy fit into decision-making?
The relationship of science to society has evolved to become more democratic over time, with an implicit social contract underpinning public confidence in, and support for, science. Citizens expect science to yield tangible benefits for people and communities. The nature of science itself has also changed, with problems now typically involving increasingly complex, non-linear, and cross-disciplinary questions that include many unknowns. Scientists today often must reach conclusions based on probabilities rather than certainties, which can sometimes confuse decision-makers and frustrate the public. In addition, the inferential gap separating knowns and unknowns frequently overlaps with the most value-laden political aspects of a given problem. For these reasons, scientists in advisory roles need skills and contextual knowledge that complement their scientific expertise and enable them to better inform the development of policy. Not surprisingly, science policy has itself become the focus of academic inquiry. Theories of science policy tend fall into four general models: Knowledge shapes policy is a supply model that regards scientific knowledge as an independent variable that feeds into policy-making in measurable ways. Politics shapes knowledge is a demand model that argues that funding influences what gets researched, and policy directions are difficult to change since previous decisions become increasingly embedded in institutional structures. The Co-production model asserts that research and policy are co-produced through an ongoing process of mutual reaction, and that the demand for more problem-solving knowledge is hardwired into the science-policy relationship as policy responds to scientific advances. Finally, the Autonomous spheres model argues that science and politics are entirely separate, with politics selectively appropriating scientific findings that are mediated by other important actors such as journalists, consultants, and lobbyists. Policy-making has been described as “a networked process in which scientific evidence is only one of many inputs.” Effective science policy includes awareness that policy-makers must weigh a range of considerations and priorities, and that scientific advice is often one of many factors informing a decision. “Policy-makers and elected officials rightly guard their responsibility to define policy – and this means choosing between options with different trade-offs. This is not the domain of a science adviser.” Public perception of science is very important in democratic societies, and scientists “must not overstate what is or can be known.” Overzealous claims can polarize the policy discourse and undermine public trust in science. Scientists outside of advisory processes may act as advocates if they choose, but institutionalized science advice must prioritize honest brokerage of knowledge. This entails clear communication of knowns and unknowns and being alert to the insertion of values into the scientific process while recognizing that the task of mediating those values belongs to other components of the policy process. Science advisory mechanisms must have the trust of policy-makers in all political seasons, no less when there is a gap between the scientific evidence and the prevailing political ideology of the day. 
How science policy help local and global communities?
The program reflects on the opportunities for science policy in a spirit of open innovation, open science, open to the world. It suggests concrete proposals for policy action, where needed. The ‘out-of-the-box’ and bottom-up nature of such reflections create a rich divergence of views from the GCRI experts. The environment is rapidly changing, with the digital roll-out, global connectivity and collaboration in science without borders. Radical new models of innovative value creation are emerging, with sometimes little connection to industrial research activities. And there is hope and expectation that science and technology will be there to provide solutions at the global level – for the Sustainable Development Goals – and at the local city level – with smart cities and circular economy principles. In presenting these reflections, we hope to feed the debate on the challenges ahead for local and global research and innovation policy.

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Science Policy