Design principles for collective knowledge systems—permanence, provenance, permission, and placement—that enable robust networks for evidence-based decision making.
Four Ps for Building Massive Collective Knowledge Systems
Design principles for collective knowledge systems—permanence, provenance, permission, and placement—that enable robust networks for evidence-based decision making.
Some tools for collective epistemics
We’ve recently published a set of design sketches for AI tools that help with collective epistemics. …
Constructing a New Knowledge Infrastructure
A knowledge commons could support evidence-based policymaking, but it will require coordination with the communities monitoring pollution.
Epistemic Infrastructure: Building Shared Truth in an Era of Disaggregation
The Construct of Collective Perception
The knowledge layer for collective intelligence
A portable data substrate for humans and their tools to think together.
The knowledge layer for collective intelligence
A portable data substrate for humans and their tools to think together.
The knowledge layer for collective intelligence
A portable data substrate for humans and their tools to think together.
The knowledge layer for collective intelligence
A portable data substrate for humans and their tools to think together.
Universal Scientific Protocols, Inc.
Universal Scientific Protocols, Inc. — research publishing, reconsidered. A knowledge management platform for machine learning researchers.
Science Communication as a Collective Intelligence Endeavor: A Manifesto and Examples for Implementation
Effective science communication is challenging when scientific messages are informed by a continually updating evidence base and must often compete against misinformation. We argue that we need a new program of science communication as collective intelligence—a collaborative approach, supported by technology. This would have four key advantages over the typical model where scientists communicate as individuals: scientific messages would be informed by (a) a wider base of aggregated knowledge, (b) contributions from a diverse scientific community, (c) participatory input from stakeholders, and (d) better responsiveness to ongoing changes in the state of knowledge.
(PDF) Algorithmically Mediating Communication to Enhance Collective Decision-Making in Online Social Networks
PDF | Many collective decision-making contexts involve communication among group members. Sometimes this communication helps the collective reach an... | Find, read and cite all the research you need on ResearchGate
Metagov x Future of Science Seminar - Discourse Graphs with Matt Akamatsu
Fed up with Big Tech, communities turn to data collectives for control
Data collectives and cooperatives, which let creators control the collection and distribution of their data, are emerging as preferred alternatives to big tech companies.
AI and the knowledge commons
Outcomes Graph: A protocol for applied science coordination - DeepScience Ventures
In this article, we explain how our Outcomes Graph works, including how the functions of scientific knowledge shape the features we've developed and how we're using it to harness the collective intelligence of venture scientists.
