MIRA
MIRA — the structure layer for a shared research graph
Research ships as a sealed document. MIRAfying it makes a graph of signed, citable records anchored on the actual data artifacts — so analyses compound without flattening the nuance.
Machine-readable attitudes - Computational Semantics++
User intent declarations can be viewed as propositional attitudes (permission, prohibition, desire, intention, belief, etc.) over structured descriptions of data use. Treating them that way gives you composable building blocks from existing theory and lens-based translations between community vocabularies that make explicit what each translation cannot carry through.
MATSUlab-issue-exchange-analysis/output/evidence_bundles/evd5-issue-funnel at main · DiscourseGraphs/MATSUlab-issue-exchange-analysis
Metrics and evidence bundles from an analysis of the MATSUlab discourse graph: issue exchange, knowledge production, and researcher onboarding - DiscourseGraphs/MATSUlab-issue-exchange-analysis
Regular exchange of issues between lab members to share research tasks
At the start of this project, we suggested that our graph-based "issue dashboards" would be used widely by members ...
Steps Towards an Infrastructure for Scholarly Synthesis
Sharing, reusing, and synthesizing knowledge is central to the research process, both individually, and with others. These core functions are not supported by our formal scholarly publishing infrastructure: instead of the smooth functioning of functional infrastructure, researchers resort to laborious ”hacks” and workarounds to ”mine” publications for what they need, and struggle to efficiently share the resulting information with others. Information scientists have proposed an alternative infrastructure based on the more appropriately granular model of a discourse graph of claims, and evidence, along with key rhetorical relationships between them. However, despite significant technical progress on standards and platforms, the predominant infrastructure remains steadfastly document-based. Drawing from infrastructure studies, we locate the current infrastructural bottlenecks in the lack of local systems that integrate discourse-centric models to augment synthesis work, from which an infrastructure for synthesis can be grown. Through 3 years of research through design and field deployment in a distributed community of hypertext notebook users, we elaborate a design vision of what can and should be built in order to grow a discourse-centric synthesis infrastructure: a thriving “installed base” of researchers authoring local, shareable discourse graphs to improve synthesis work, enhance primary research and research training, and augment collaborative research. We discuss how this design vision — and our empirical work — contributes steps towards a new infrastructure for synthesis, and increases HCI’s capacity to advance collective intelligence and solve infrastructure-level problems.
Sustainable coordination in research labs via graph-enabled idea boards
Our 'graph-enabled idea board' serves as a hub for capturing excess research ideas, allocating microprojects, and properly attributing credit. We'd like to investigate its potential for enabling newcomers to quickly and effectively contribute to ongoing projects.
Discourse Graphs and the Future of Science | Protocol Labs Research
Interview between Tom Kalil, Chief Innovation Officer of Schmidt Futures, Dr. Evan Miyazono, Research Team Lead at Protocol Labs, and Dr. Matt Akamatsu, Assistant Professor of Biology at the University of Washington.
