Create collective knowledge by crowdsourcing and adapting governance innovations.
Constructing a New Knowledge Infrastructure
A knowledge commons could support evidence-based policymaking, but it will require coordination with the communities monitoring pollution.
Assessing nature's contributions to people
Recognizing culture, and diverse sources of knowledge, can improve assessments , A major challenge today and into the future is to maintain or enhance beneficial contributions of nature to a good quality of life for all people. This is among the key motivations of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), a joint global effort by governments, academia, and civil society to assess and promote knowledge of Earth's biodiversity and ecosystems and their contribution to human societies in order to inform policy formulation. One of the more recent key elements of the IPBES conceptual framework ( 1 ) is the notion of nature's contributions to people (NCP), which builds on the ecosystem service concept popularized by the Millennium Ecosystem Assessment (MA) ( 2 ). But as we detail below, NCP as defined and put into practice in IPBES differs from earlier work in several important ways. First, the NCP approach recognizes the central and pervasive role that culture plays in defining all links between people and nature. Second, use of NCP elevates, emphasizes, and operationalizes the role of indigenous and local knowledge in understanding nature's contribution to people.
The simple but ingenious system Taiwan uses to crowdsource its laws
vTaiwan is a promising experiment in participatory governance. But politics is blocking it from getting greater traction.
Generative AI and the Digital Commons — The Collective Intelligence Project
The aim of this paper is to build models of governance for generative foundation models that enable broadly shared benefit. Our initial hypothesis is that data is a high-value lever of governance. Many of these models are trained on publicly available data and use public infrastructure, but 1) may d
AI and the knowledge commons
Ecosystem Action Research
An initiative to facilitate cooperative, research-led innovation in the AT Protocol ecosystem
An ecological perspective to master the complexities of the digital economy
Economic and social interactions are shifting to digital platforms which grow into vast ecosystems where user engagement creates value for members while ecosystem orchestrators harvest massive revenue. The digital ecosystem business model succeeds by adeptly navigating fast-changing environments, including new technologies and volatile demands, through dynamic innovation in a decentralized decision-making setting. This renders digital platform ecosystems complex adaptive systems. Recognizing that natural ecosystems are a prime example of complex adaptive systems, we propose a systematic hierarchical framework for describing and understanding digital ecosystems, rooted in ecology and evolution. Our framework compares digital ecosystems hosted by societies to natural ecosystems embedded in biomes, products to species, and technologies and elements of business strategy to the genetic makeup of a species. As digital platforms face heightened scrutiny about their socio-economic power and societal value, our approach contributes to the development of deeper understanding and sustainable governance of the digital economy.
A Roadmap to Democratic AI — The Collective Intelligence Project
Our roadmap outlines concrete steps that can be taken in 2024 to build a more democratic AI ecosystem that is adaptive, accountable, processes decentralized information, provides public goods, and safeguards human wellbeing. We describe what the ecosystem could build, research, advocate for, and fun
Ecosystem Plugins - Wesley's notes
Bridging the interop gap and addressing the long-tail of user needs
A Polycentric Governance Lens on Data Infrastructures
Funding policies for data infrastructure promote open data sharing to drive positive social impact. However, concerns regarding the long-term management of data within and across distributed infrastructures can hinder data sharing. We draw upon the concept of polycentric governance to demonstrate how collaborative practices of data curation, in preparing and maintaining data for (future) sharing, provide a solid foundation for understanding data governance within data infrastructures. Based on a qualitative case study of a distributed ecological network, we investigate the conditions under which data are managed as a shared resource by local actors to ensure the long-term (re)usability of data. We contribute to CSCW by conceptualising data curation as a complex form of governance practice with multiple centres of decision-making, each of which operates with some degree of autonomy in data infrastructures. A polycentric governance lens on data infrastructures advances the CSCW conception of data curation as a collective governance practice that can cultivate a data democracy culture within and across organisations, empower individuals to be accountable for their data, and foster a mindset shift toward decentralised data governance.
Collective Governance Directory
A collection of links to publicly available governance documents, published by the collectives that use them.
👀 "Rather than viewing citizen science merely as crowdsourced data collection or computational tools as autonomous infrastructure, we advocate for human-machine systems in which citizen scientists, including distributed publics, participate as monitors, interpreters...and co-producers of knowledge."
