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Mark Hahnel

@hahnel.org
863 followers 1.7K following 225 posts

Figshare Founder

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Mark Hahnel @hahnel.org · 24/09/2026
Why research analytics built on AI needs to show its working Merely appearing useful – versus being reliable, credible or provable www.researchinformation.info/viewpoint/wh...
researchinformation.info
Why research analytics built on AI needs to show its working - Research Information
Merely appearing useful – versus being reliable, credible or provable – are different things, writes Kate Byrne
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Mark Hahnel @hahnel.org · 24/09/2026
Invisible trust markers: unconsciously trusted structural cues that get faked or mimicked to borrow legitimacy the content hasn’t earned. fosci.substack.com/p/invisible-...
fosci.substack.com
Invisible Trust Markers
On September 18, a chatbot nearly started a war.
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Mark Hahnel @hahnel.org · 24/09/2026
MDPI Taxonomy is a five-level hierarchical taxonomy for classifying scholarly content across scientific domains. It builds on the OpenAlex hierarchy and extends it with an MDPI Concept layer for finer article classification and topic tagging huggingface.co/datasets/mdp...
huggingface.co
mdpi-di/taxonomy · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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Reposted by Mark Hahnel
Digital Science @digital-science.com · 23/09/2026
📣If you’re attending #BioTechX 2026, then don’t miss out on these #DigitalScience presentations, delivered by our VP of Open Research, @hahnel.org 🔗 Want to learn more: www.digital-science.com/events/biot… #BioTechX2026
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Mark Hahnel @hahnel.org · 17/09/2026
As AI moves from summarizing papers to generating scientific claims, biopharma faces a hard question. How do you trust an answer with no way to trace it back to the truth? www.digital-science.com/blog/the-nex...
digital-science.com
The next era of AI in drug discovery
Key takeaways and insights from Mark Hahnel’s keynote speech at AI in Drug Discovery hubXchange 2026.
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Reposted by Mark Hahnel
Digital Science @digital-science.com · 17/09/2026
What happens when #AI can accelerate scientific discovery faster than ever? Our VP for Open Research, Dr Mark Hahnel, joins Aldo de Pape on Pulse (AlphaWire) to talk #OpenResearch, synthetic data, and AI as a force for good. 🎥 Watch here: www.youtube.com/watch?v=zjMzGe0MOJU @hahnel.org
youtube.com
The Future of Science in the Age of AI with Dr. Mark Hahnel
YouTube video by AlphaWire
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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 · 16/09/2026
"An open infrastructure is not an open service." Interesting distinction from Ian Mulvany blog.mulvany.net/posts/reflec...
blog.mulvany.net
Reflections on services and "services" — Ian Mulvany
This blopg post is an important one - “https://blog.openalex.org/after-researchfish-europe-pmc-openalex-on-the-future-of-grant-outcomes-reporting/“ from…
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Digital Science @digital-science.com · 26/08/2026
@hahnel.org, VP Open Research at Digital Science, is speaking at the AI in Drug Discovery Xchange in San Francisco, Sept 9. 🔗 Learn more: ow.ly/Qsbr50ZwkGJ
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Mark Hahnel @hahnel.org · 09/09/2026
Didnt expect this to be realised so quickly Acceleration
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Reposted by Mark Hahnel
Digital Science @digital-science.com · 01/09/2026
📢 Applications are now open for the 2026 Digital Science #CatalystGrant 💡 Our theme is “Agentic Workflows You Can Trust.” 🌱 Your idea could win a grant of up to £25,000 🔗 See our announcement: bit.ly/4xAskwy
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Mark Hahnel @hahnel.org · 25/08/2026
“In the short term the thing that the folk at Overleaf should be looking at is can they integrate more meaningful and useful and fast AI integration through an API layer” and indeed Digitial Science has since launched papers.ai. blog.mulvany.net/posts/a-post...
papers.ai
Papers AI — one research workspace for Word, LaTeX, data & code
One research workspace for your writing, data, and code. Collaborative Word, LaTeX, and Markdown editing with AI that has your whole project in context. Built by Overleaf.
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Reposted by Mark Hahnel
Digital Science @digital-science.com · 19/08/2026
To be truly valuable, #AI needs to be rooted in structured data. However, linking AI with databases & tools has previously required complex, custom engineering work. Enter MCPs. What is an #MCP and how do they benefit research teams? 🔗 bit.ly/3SfQlts @dimensions.ai @altmetric.com
digital-science.com
Show your sources: building verifiable, citable AI agents with MCP - Digital Science
Our new Dimensions & Altmetric MCPs ground LLMs in structured data, generating verified, citable results that research teams can trust.
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Reposted by Mark Hahnel
Digital Science @digital-science.com · 14/08/2026
#ICYMI 👉 Do we actually need to write research papers at all? 👉 Where should researchers spend their time, and can #AI do the boring work well here? Those are the questions @hahnel.org raises in his piece for the Open Research Substack. 🔗 ow.ly/MJV550ZuWxe
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Digital Science @digital-science.com · 19/08/2026
We're excited to partner with Jisc to expand access to Dimensions Industry Partnerships across UK higher ed. Helping institutions identify industry partners, strengthen existing relationships & uncover opportunities for commercialization. 🔗 bit.ly/4hIeNxY @jisc.bsky.social @dimensions.ai
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Reposted by Mark Hahnel
eLife @elife.bsky.social · 12/08/2026
Today, we’re pleased to share an overview of the partnerships we’re involved in to harness AI for improving research engagement. buff.ly/uR6vPXd
elifesciences.org
eLife Latest: Exploring AI’s potential for improving research engagement
We have partnered on a number of projects exploring the discoverability and navigation of research by machines and humans alike, laying the groundwork for a new era of AI-driven research…
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Reposted by Mark Hahnel
Digital Science @digital-science.com · 11/08/2026
There's a difference between using AI and embedding it. The companies pulling ahead treat AI like a colleague, not a tool. It's woven into how they operate, not bolted on. You can tell which companies made that shift. They're the ones winning. 🎥 Watch: ow.ly/TuM250ZyqXR
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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
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
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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Reposted by Mark Hahnel
Digital Science @digital-science.com · 06/08/2026
Complex problems. Massive amounts of data, internal and external. That's the daily reality for knowledge workers in regulated industries. AI With Integrity makes the case for a trusted, explainable AI layer—one the organization can actually trust. 🎥 Watch: ow.ly/5JtZ50ZwSGy
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Mark Hahnel @hahnel.org · 07/08/2026
Catalyzing Biomedical Data Innovation: Three Years of the DataWorks! Prize datascience.nih.gov/director/dir... Recent winner - sex differences in Acute Kidney Injury - Shows what's possible when high-quality shared data meets creative scientific inquiry www.herox.com/dataworks/ro...
datascience.nih.gov
Catalyzing Biomedical Data Innovation: Three Years of the DataWorks! Prize | Data Science at NIH
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Mark Hahnel @hahnel.org · 04/08/2026
If you are doing research - go and try this out
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Mark Hahnel @hahnel.org · 31/07/2026
trust.overleaf.com
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Mark Hahnel @hahnel.org · 31/07/2026
Do we actually need to write research papers at all? If we are going to lean on the creativity and the cross-domain thinking of human researchers, then surely that should be where the human time goes. hahnel.substack.com/p/do-we-actu...
data2story.github.io
Data Journalist Agent (Data2Story)
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Mark Hahnel @hahnel.org · 31/07/2026
Great paper from Natasha Noy et al of Google Dataset Search Do Data Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval arxiv.org/html/2605.28... Similar to my thinking here www.openresearch.wtf/machine-firs... and here: www.openresearch.wtf/fairdata-ai-...
arxiv.org
Do Data Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval
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Digital Science @digital-science.com · 21/07/2026
What does responsible research assessment ask of the people who build the research infrastructure, rather than those who write the policy? In a new blog post, Steven Hill (Senior Policy Advisor to the CEO, Digital Science), sets out what the principles mean in practice. 🔗 ow.ly/UcnT50ZqIwm
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The R Foundation @r-foundation.bsky.social · 17/06/2026
The 2026 Rousseeuw Prize for Statistics has been awarded to the R Project. #RStats www.rousseeuwprize.org/2026
rousseeuwprize.org
The Rousseeuw Prize for Statistics
The Rousseeuw Prize for Statistics is a biennial prize to celebrate outstanding contributions to statistics research.
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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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Digital Science @digital-science.com · 10/06/2026
"The tools have changed beyond recognition; the intent has not changed at all." — Dr Daniel Hook, CEO, Digital Science. In a new blog post on the Symplectic website, Daniel discusses a 20-year-old problem that #AI is now helping to solve. 🔗 Read his post: ow.ly/7iee50Z9QcH
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Reposted by Mark Hahnel
Digital Science @digital-science.com · 10/06/2026
The #arXiv ban on unchecked #AI in preprints is, in Mark Hahnel's words, needed & appropriate. But the underlying problem is bigger than arXiv. General-purpose models are the wrong tool for research. The contamination, he warns, doesn't go away when the AI gets better. 🔗 ow.ly/FcFF50Z9R7y
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Stephen Curry @scurry.bsky.social · 10/06/2026
Violence on the streets of the U.K. incited and enabled by Elon Musk, a fellow of the @royalsociety.org. When will our national academy stand up for the values it claims to espouse?
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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 · 08/06/2026
On Training Data for Bio AI Models As we advance biological foundation models, which lessons from LLM data curation transfer, and which need rethinking? research.dimensioncap.com/p/on-trainin...
research.dimensioncap.com
On Training Data for Bio AI Models
We write about frontier advances in the life sciences, machine learning, and technology, and how their fusion is reshaping the trajectory of life on Earth.
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Mark Hahnel @hahnel.org · 05/06/2026
NIH Generalist Repository Ecosystem Initiative (GREI) Year 4: Reflections, Progress, and What Comes Next medium.com/@blog-grei/g...
medium.com
GREI Year 4: Reflections, Progress, and What Comes Next
As the Generalist Repository Ecosystem Initiative (GREI) concludes its fourth year and moves into its fifth, this update examines the…
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Mark Hahnel @hahnel.org · 05/06/2026
Biology Open paid peer reviewers £220 and cut peer review times to five working days www.researchinformation.info/news/biology...
researchinformation.info
Biology Open paid peer review model cuts times to five working days - Research Information
Reviewers were paid £220 per manuscript, conditional on timely completion and editorial assessment of review quality
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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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Reposted by Mark Hahnel
Research on Research Institute (RoRI) @rorinstitute.bsky.social · 02/06/2026
Our new working paper, "Fast and flexible research funding: a review," analyzes the unsustainable time and paperwork required for grant applications, offering key recommendations to help global funders reduce this bureaucratic burden: rori.figshare.com/articles/pre...
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Mark Hahnel @hahnel.org · 02/06/2026
From institutional mud to green pasture: university mergers in bibliometric data researchmusings.substack.com/p/from-insti...
researchmusings.substack.com
From institutional mud to green pasture: university mergers in bibliometric data
research data bite: 29.
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Mark Hahnel @hahnel.org · 01/06/2026
The grants system was already struggling. Then came AI theresearchquestion.substack.com/p/the-grants... "Time is short for managed reform of the research funding system. Funders need to act quickly, potentially in the face of incomplete evidence, while incremental adjustments are still possible."
theresearchquestion.substack.com
The grants system was already struggling. Then came AI
The research grants system, the bedrock of the funding ecosystem, is in trouble.
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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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Digital Science @digital-science.com · 26/05/2026
AI agents can hallucinate & behave unpredictably - but Gartner research has identified an antidote: a context layer. #AgenticAI Our new blog post explains why your agents are only as good as the knowledge behind them, and what you can do to strengthen context. 🔗 Read now: ow.ly/o9Vb50Z45O4
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Curvenote® @curvenote.com · 21/05/2026
🚀 Today we’re launching Curvenote Reader Curvenote Reader transforms existing research into connected, web-native reading experiences layered onto the systems repositories and publishers already use. No rebuilds. No workflow disruption. → curvenote.com/products/rea...
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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 · 19/05/2026
AI and the practical scientist We are entering a window of opportunity in which collaboration between human researchers and AI systems will bear the most fruit. But it will not last very long, with far-reaching consequences. scholarlyfutures.substack.com/p/ai-and-the...
scholarlyfutures.substack.com
AI and the practical scientist
We are entering a window of opportunity in which collaboration between human researchers and AI systems will bear the most fruit. But it will not last very long, with far-reaching consequences.
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Mark Hahnel @hahnel.org · 18/05/2026
From The Lancet to TikTok: Benchmarking success for publication strategy in medical affairs www.digital-science.com/blog/benchma...
digital-science.com
From The Lancet to TikTok: Benchmarking success for publication strategy in medical affairs - Digital Science
Medical affairs teams need an omnichannel approach to planning and monitoring publication strategy. Enter: Compass by Dimensions.
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