iiinova — where your digital self keeps evolving

Mark Hahnel @hahnel.org · 16/09/2026

So easy now to get the answers you want if you have the right data available Continued growth of open academic data is playing a huge role in allowing AI progress in research Massive growth in papers linking to all repositories Made using Dimensions.ai API, Dimensions GBQ and codex...in 5 mins

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Mark Hahnel @hahnel.org · 09/09/2026

Didnt expect this to be realised so quickly Acceleration

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Mark Hahnel @hahnel.org · 11/08/2026

I remember the first few days of Figshare, we would get excited when someone made "something" openly available Its now about 3,000 items/day being made open across Figshare infrastructure

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Mark Hahnel @hahnel.org · 07/08/2026

or more bluntly put in this image

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Mark Hahnel @hahnel.org · 07/08/2026

I really like this visualisation for getting across what we need to be balancing when we talk about AI and dissemination of academic research Pace of discovery Credit & IP Trustworthiness www.openresearch.wtf/whoever-writ...

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Mark Hahnel @hahnel.org · 07/08/2026

My S-Index has nearly reached my H-Index scholardata.io/users/01KY5K...

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Mark Hahnel @hahnel.org · 17/06/2026

BioSingularity. The substrate determines the ceiling Why the infrastructure underneath the models decides how far they can go. "Agentic biology is shaped like software" hahnel.substack.com/p/biosingula...

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Mark Hahnel @hahnel.org · 12/06/2026

Ground the model, or it invents the evidence Trusted, curated, subject-specific models are needed for academia hahnel.substack.com/p/ground-the...

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Mark Hahnel @hahnel.org · 10/06/2026

Love this - great to see lots of green - could really do with more The state of biological AI at a glance bio.rodeo/leaderboard

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Mark Hahnel @hahnel.org · 04/06/2026

The new era of going “Fast and Far” in research Small teams have always innovated. But AI means: a) We can split research into big and small teams b) The small can do absolutely massive things now hahnel.substack.com/p/the-new-er...

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Mark Hahnel @hahnel.org · 02/06/2026

Now we can all code Who wants to email the corresponding author on 100,000 papers to ask them for their "data available upon request"? app.dimensions.ai/analytics/pu...

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Mark Hahnel @hahnel.org · 27/05/2026

Enjoyed "The future of science with AI" at the @royalsociety.org last night with Alison Noble, Paul Nurse & Demis Hassabis Interesting comment from Hassabis that we may need new Philosophies of Science, post AI Who is the next Kuhn or Popper that is coming up with new ideas?

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Mark Hahnel @hahnel.org · 20/05/2026

Nature moving to a publish, review, curate model?

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Mark Hahnel @hahnel.org · 20/05/2026

When you sign up to show interest for Googles new Science experimental tools - they ask for your ORCID - thats great progress!

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Mark Hahnel @hahnel.org · 14/05/2026

I'll be speaking ay the quality of AI Peer Review reports in June @easeeditors.bsky.social

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Mark Hahnel @hahnel.org · 06/05/2026

The Open Source for Science Fund invites letters of intent from developers and maintainers of open source software projects that underpin AI and data-intensive research in the life sciences. os4science.org/funding_oppo...

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Mark Hahnel @hahnel.org · 04/05/2026

Announcing the 2024 DataWorks! Prize Winners In early 2024, ODSS partnered with the Federation of American Societies for Experimental Biology (FASEB) to launch the second annual DataWorks! Prize to highlight examples of innovative data sharing and reuse. datascience.nih.gov/dataworks/da...

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Mark Hahnel @hahnel.org · 08/04/2026

The academia preprints "problem" continues to accelerate www.openresearch.wtf/academia-has...

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Mark Hahnel @hahnel.org · 07/04/2026

From 52 files total in March '12 to 8000/month in March '26

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Mark Hahnel @hahnel.org · 07/04/2026

It's really nice to see that academics continue to share more and more data at a time when we can really re-use it *This is just the subset of free users (not institutional, governmental, publisher or pharma clients that use Figshare infrastructure)

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Mark Hahnel @hahnel.org · 30/03/2026

As AI adoption grows, how should research record it? www.researchinformation.info/analysis-opi...

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Mark Hahnel @hahnel.org · 30/03/2026

The new Altmetric Attention Digest automatically generates concise, narrative summaries that interpret the attention and influence surrounding a piece of research. The aim is to move beyond raw metrics www.altmetric.com/solutions/al...

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Mark Hahnel @hahnel.org · 23/03/2026

What parts of the academic knowledge creation & dissemination pipeline can we automate with AI? www.openresearch.wtf/what-parts-o...

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Mark Hahnel @hahnel.org · 16/02/2026

Moving from "share data because you should" to "share data because you'll get something back." Looking for Suprisals in your data using AstaLabs Autodiscovery from Allen AI www.openresearch.wtf/moving-from-...

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Mark Hahnel @hahnel.org · 09/02/2026

AIR: AI in Research - A framework for transparent and responsible AI use mapped to the research process doi.org/10.6084/m9.f...

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Mark Hahnel @hahnel.org · 12/12/2025

I asked claude about the credibility of a nuclear physics preprint and it gave me this I now think this should be implemented across all arxiv papers

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Mark Hahnel @hahnel.org · 29/10/2025

Only 2.3% of traffic to BMJ coming from "AI tools" world.hey.com/ian.mulvany/...

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Mark Hahnel @hahnel.org · 01/10/2025

Using Artificial Intelligence for Text Screening in a Systematic Review of Cardiotoxicity This study highlights best practices and benchmarks to assess the efficiency and possibly quality of literature screening supporting the integration of AI into future SRs www.sciencedirect.com/science/arti...

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Mark Hahnel @hahnel.org · 01/10/2025

Metadata Recommendations for Repository Adoption from the Generalist Repository Ecosystem Initiative: medium.com/@blog-grei/m...

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Mark Hahnel @hahnel.org · 26/09/2025

how much content is there in the publisher ecosystem An increasing number publishers are licensing content for AI training. What’s the potential size of the market? world.hey.com/ian.mulvany/...

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Mark Hahnel @hahnel.org · 12/09/2025

Did you know you can integrate all these systems with your Figshare account? figshare.com/account/integrations

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Mark Hahnel @hahnel.org · 28/08/2025

UN to launch an Independent International Scientific Panel on AI + Global Dialogue on AI Governance—ensuring evidence‑based, inclusive, human‑rights‑focused oversight of AI technologies for all. docs.un.org/en/A/79/l.118

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Mark Hahnel @hahnel.org · 12/08/2025

Academia has a new preprints problem. Thousands of researchers are essentially playing slot machines with large language models, pulling the lever over and over hoping to hit the jackpot of novel theoretical physics insights www.openresearch.wtf/academia-has...

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Mark Hahnel @hahnel.org · 29/07/2025

Are LLMs removing Retracted papers from their training data Some say yes. I dont believe them p4sc4l.substack.com/p/asking-ai-...

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Mark Hahnel @hahnel.org · 24/07/2025

Have we already hit the peer review breaking point? What does scientific publishing look like if every paper is AI-generated or at least AI co-authored? www.openresearch.wtf/have-we-alre...

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Mark Hahnel @hahnel.org · 23/07/2025

Researchers do not know they can publish null results in a journal and believe the biggest benefit is help with hypotheses The State of Null Results - Springer Nature stories.springernature.com/the-state-of...

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Mark Hahnel @hahnel.org · 11/07/2025

Fair play Scientists hide messages in papers to game AI peer review www.nature.com/articles/d41...

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Mark Hahnel @hahnel.org · 08/07/2025

"Within 60 days of this memorandum, agencies shall submit to OSTP and post on their agency’s website a report outlining their implementation plans for Gold Standard Science" www.whitehouse.gov/wp-content/u...

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Mark Hahnel @hahnel.org · 04/07/2025

Improving the open access research information landscape An analysis of community needs, challenges, and potential next steps www.ukri.org/wp-content/u...

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Mark Hahnel @hahnel.org · 16/06/2025

Wow - super cool Kaggle competition from Make Data Count www.kaggle.com/competitions... "You will identify all the data citations (references to research data) from the full text of scientific literature and tag the type of citation"

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Mark Hahnel @hahnel.org · 05/06/2025

Feeding the NHS into LLMs is not the answer. The easiest way to generate new data for the AI models with a view to advance science and technology is to fund more basic research www.openresearch.wtf/ai-needs-new...

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Mark Hahnel @hahnel.org · 20/05/2025

"Hope is not a strategy" Science Manipulations: Myths and Truths fosci.substack.com/p/science-ma...

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Mark Hahnel @hahnel.org · 09/04/2025

This is cool. "The resulting data set includes 200,000 cells and 523 million connections in the primary visual cortex and surrounding areas of a mouse." www.nature.com/immersive/d4...

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Mark Hahnel @hahnel.org · 21/03/2025

The Perpetual Research Cycle: AI’s Journey Through Data, Papers, and Knowledge: www.digital-science.com/tldr/article...

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Mark Hahnel @hahnel.org · 19/03/2025

Yeah - I would suggest not even including that stuff You can also look at papers with UT Austin authors and see which of them link to datasets eg www.openresearch.wtf/how-is-every...

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Mark Hahnel @hahnel.org · 18/03/2025

This is cool from Digital Science Catalyst winner postpub.net

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Mark Hahnel @hahnel.org · 06/03/2025

One concern I have about preprints On Figshare, we accept anything that is "academic" We get a lot of papers that are submitted with titles like "The unifying theory of thermodynamics and Jesus" Can we create an LLM that judges how "out there" papers may be

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Mark Hahnel @hahnel.org · 04/03/2025

Peer review is broken to the point I thought we needed paid peer review to fix it AI peer review may be the answer ARTEMIS - Automated Review and Trustworthy Evaluation for Manuscripts in Science www.researchhub.com/post/3961/ar...

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Mark Hahnel @hahnel.org · 27/02/2025

Ever wanted to know how is every country, funder, institution doing at data sharing? I created an app that you can compare here: www.openresearch.wtf/how-is-every... #OpenData #OpenScience #OpenResearch

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