MIRA 2026 - Modular Interoperable Research Attribution

MIRA 2026 - Modular Interoperable Research Attribution

Catalyzing Modular Interoperable Research Attribution - A workshop to design and prototype interoperable frameworks for modular research attribution. June 7-11, 2026 in Ireland.

A protocol for attributable modular research contribution - Matsuthoughts

modular research preprint server demo with meaningful social context

a concept preprint server demonstrating what kinds of features would be possible in the future with more modular research publishing and an open social protocol to layer in the public discourse in meaningful ways.

Towards Modular Open Science

Science is trapped in a paper-shaped box. In this talk at the ATProto community, Rowan Cockett introduces the structural states of scientific components — the floor, the buckets, and the shelf — and makes the case for a second wave of modular science where modularity emerges from packaging rather than being imposed as a precondition. The talk introduces the Open Exchange Architecture (OXA), a new standard for modular and composable scientific content.

A Human-Centric Framework for Data Attribution in Large Language Models

In the current Large Language Model (LLM) ecosystem, creators have little agency over how their data is used, and LLM users may find themselves unknowingly plagiarizing existing sources. Attribution of LLM-generated text to LLM input data could help with these challenges, but so far we have more questions than answers: what elements of LLM outputs require attribution, what goals should it serve, how should it be implemented? We contribute a human-centric data attribution framework, which situates the attribution problem within the broader data economy. Specific use cases for attribution, such as creative writing assistance or fact-checking, can be specified via a set of parameters (including stakeholder objectives and implementation criteria). These criteria are up for negotiation by the relevant stakeholder groups: creators, LLM users, and their intermediaries (publishers, platforms, AI companies). The outcome of domain-specific negotiations can be implemented and tested for whether the stakeholder goals are achieved. The proposed approach provides a bridge between methodological NLP work on data attribution, governance work on policy interventions, and economic analysis of creator incentives for a sustainable equilibrium in the data economy.

Catalyze

Catalyze research: discover, build, and fund high-impact research portfolios.

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.

modular research multi-agent slack-like environment demo

a demo of a slack-like workspace with multiple collaborating agents with access to a lab discourse graph and modular science and open social infrastructure.