ASTRA - ASTRA

In an era where research evaluation methods are evolving, the Research Contribution Claim Network makes trustworthy tracking of non-traditional research output easy!

In this whitepaper, Patrick Hochstenbach (Ghent University Library), Thomas van Himbergen (SURF), Laurents Sesink (SURF) and Herbert Van de Sompel (DANS) introduce the...

Reproducible research: methodological principles for transparent…

This Mooc proposes methodological principles for open and transparent science. It deals in a practical way with note-taking, computational documentation, replicability of analyses.

How we built our multi-agent research system

On the the engineering challenges and lessons learned from building Claude's Research system

Agentis — coming soon — BioKEA

An AI-first scientific journal built on the AT Protocol. Fast, verifiable peer review and publications as interactive StoryMaps.

How the Protocol Institute is Adopting AI

What building a research institute at 100% adoption actually looks like

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.

swyx on Twitter / X

icymi, openai also open sourced how their deep research prompt rewriter works + the full prompts todayyou can now build your own deep research agent - with full o3/o4-mini deep research quality - in 20LOCif you're a fan of Claude Research they ALSO dropped how to add… pic.twitter.com/5moxXjzqTj— swyx (@swyx) June 27, 2025

Deep-Research Agents Can Be Poisoned via User-Generated Content

Deep-research agents, i.e., systems that rely on multi-agent pipelines to iteratively retrieve, synthesize, and cite Web content in order to produce structured reports, are rapidly replacing...

Lea - A calmer Bluesky for researchers

A curated garden for researchers on the AT Protocol

Cosmik Updates: February 2026 - Cosmik Labs

@atproto.science @cosmik.network Raising a question for the ATProto science community: Can AI agents be legitimate participants in research ecosystems? What would make their outputs trustworthy?

An Interview with OpenAI President Greg Brockman About Astra and Alignment

An interview with OpenAI President and Co-Founder Greg Brockman about the history of OpenAI, Astra and alignment, and the weight of building the future.

Responding to the next frontier of critical cyber capabilities

OpenAI is sharing preliminary cybersecurity evaluations for Astra and the steps we’re taking to strengthen safeguards and security controls.

Study Guide: One Day, Everyone Will Have Always Been Ag…

Analyzing literature can be hard — we make it easy! Thi…