A protocol for attributable modular research contribution - Matsuthoughts

Scholarly Communication Is a Research Problem. This Means You.

Scholarly Communication Is a Research Problem.

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.

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.

Announcing "AT Scholarly Lexicons": A blueprint for decentralised scholarly communication using the AT Protocol - Marginalia

The Research Nexus vision for a more connected scholarly community

Crossref envisions “a rich and reusable open network of relationships connecting research organizations, people, things, and actions; a scholarly record that the global community can build on forever, for the benefit of society”. This Research Nexus expands on the importance of research objects being persistently and uniquely identified. The scholarly community has an established practice of connecting things such as citations to others’ work and it is increasingly critical to identify relationships beyond citations, bringing together published work, unpublished work, institutions, individuals, and identifying the actions that they take e.g., funding, publishing, creating, modifying, citing, and sharing. The Research Nexus brings together metadata and relationships to build a joined-up picture of the scholarly ecosystem and helps everyone identify these relationships and how they change through time. This vision is possible if all parts of the scholarly ecosystem (and beyond) work together, including various scholarly infrastructure organizations.

The Paper Factory

How can large language models (LLMs) contribute to social science research, and what parts of research remain stubbornly human? Building on existing LLM tools, we offer a multi-agent workflow capable of producing a full quantitative social science paper from an initial prompt. The workflow relies on researchers codifying their heuristics for doing data analysis, and we suggest some core design principles for researchers interested in building on this scaffolding. Using this case, we also examine what current LLM capabilities reveal about the organization of research. LLM agents can lower the cost of pursuing high-risk ideas, expand robustness and transparency, reduce concerns about the scientific file drawer, and force scholars to articulate the heuristics that create valuable work. But they also pose challenges, both in terms of the quality of papers and in the adequacy of scientific institutions to adapt. Meeting these challenges will require new institutional norms that make use of these tools observable, auditable, and accountable.

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.

Why we built the Journal of Research on Research and what it cost us - LSE Impact

Gemma Derrick, Bart Penders, Serge Horbach & Tony Ross-Hellauer reflect on the choices, challenges & compromises of launching the Journal of Research on Research

How and When to Involve Crowds in Scientific Research - The Book

This book explores how millions of people can significantly contribute to scientific research. Discover main elements, authors, and who this book is for and why.

Scientific production in the era of Large Language Models

Large Language Models (LLMs) are rapidly reshaping scientific research. We analyze these changes in multiple, large-scale datasets with 2.1M preprints, 28K peer review reports, and 246M online accesses to scientific documents. We find: 1) scientists adopting LLMs to draft manuscripts demonstrate a large increase in paper production, ranging from 23.7-89.3% depending on scientific field and author background, 2) LLM use has reversed the relationship between writing complexity and paper quality, leading to an influx of manuscripts that are linguistically complex but substantively underwhelming, and 3) LLM adopters access and cite more diverse prior work, including books and younger, less-cited documents. These findings highlight a stunning shift in scientific production that will likely require a change in how journals, funding agencies, and tenure committees evaluate scientific works.

A budding discipline around how science gets read and judged - Aris

Scholarly publishing spent thirty years arguing about access. It has barely begun arguing about what readers do with the paper once they have it. At Aris we call that second argument scholarly interface design. Mike Morrison's community calls it ScienceUX. Either way it is becoming a field, and here is why it is worth your attention.