#aiinresearch — Public Fediverse posts

🧠🤓 Ah, the thrilling world of math academia, where papers get "converted using AI" just to remind us humans how utterly unnecessary we are in the process! Bravo, guest bloggers, for turning math updates into a digital snooze-fest faster than you can say "Pythagorean theorem." 🤯📄
https://terrytao.wordpress.com/2026/09/12/after-math/ #mathacademia #AIinResearch #digitalinnovation #guestbloggers #PythagoreanTheorem #HackerNews #ngated

RE: https://biologists.social/@Rxiv_mechanobio/117069212690349050

"The arrival of #machineLearning approaches that predict cellular behavior at scale and integrate a wide array of #biologicalData types makes the analytical demand on #mechanisticModels even more pressing. Prediction is increasingly available without #mechanistic #understanding. The central challenge is no longer building models that reproduce #biological behavior, but building #models from which causal structure can be inferred."

#science #AI #AIinResearch #modeling #modelling #biology

@hywan

This + the final statement of proposal A : " Debian is not here to generate as much code as possible requiring manual review by a shrinking number of human volunteers, or to package every piece of software, or to rush new features, but these are what LLMs are used for. " could readily be applied e.g. to scientific research.

"/Universities/ are not here to generate as much /papers/ as possible requiring manual review by a shrinking number of /human researchers/" ...!

#AI #MastodonScience #AIinResearch #LLM

This essay nicely encapsulated my thoughts about using "AI" in research (or in researcher training). Written from the point-of-view of astrophysics, but quite universally applicable: https://ergosphere.blog/posts/the-machines-are-fine/

"The real threat is a slow, comfortable drift toward not understanding what you're doing. Not a dramatic collapse. Not Skynet. Just a generation of researchers who can produce results but can't produce understanding."

"The failures are the curriculum. The error messages are the syllabus. Every hour you spend confused is an hour you spend building the infrastructure inside your own head that will eventually let you do original work. There is no shortcut through that process that doesn't leave you diminished on the other side."

#AcademicChatter #AIinResearch #DoctoralTraining

🎉 Oh, joy! Another "revolutionary" app promising to make dry, dense research papers as addictive as TikTok dances. 😂 Because, you know, scientists were just *dying* for a cutesy, AI-powered swipe-right experience to keep up with groundbreaking discoveries. 🚀 Surely, algorithmic feeds will make your PhD a breeze! 🧠💡
https://andreaturchet.github.io/website/index.html #revolutionaryapp #researchpapers #TikTokscience #AIinresearch #PhDstruggles #HackerNews #ngated

2% of ICML papers desk rejected because the authors used LLM in their reviews

https://blog.icml.cc/2026/03/18/on-violations-of-llm-review-policies/

#HackerNews #ICML2023 #LLM #Ethics #ResearchPublishing #AIinResearch #DeskRejection

DHd 2026 in Vienna showed how vibrant and collaborative the Digital Humanities community has become: from Library Labs and open data workflows to critical debates on AI, data, and epistemology.
But it also raises a key question: are we building tools or critically shaping the role of data and AI in knowledge production?
A strong reminder that Digital Humanities must remain both methodological and reflexive.
https://dhd-blog.org/?p=23440
#DigitalHumanities #AIinResearch #DHd2026

The Bibliotheca Hertziana in Rome is hiring a Digital Humanities Scientist to advance Digital Art History, machine learning, and AI-based infrastructures within its DH Lab (application deadline: April 30, 2026).
They are not just looking for tool builders, but research architects who can sustainably integrate cultural heritage, multimodal models, and institutional infrastructure.
#DigitalHumanities #DigitalArtHistory #AIinResearch
https://www.biblhertz.it/en/opportunities/digital-humanities-scientist

Die Bibliotheca Hertziana in Rom sucht eine*n Digital Humanities Scientist zur Weiterentwicklung von Digital Art History, Machine Learning und AI-basierten Infrastrukturen im DH Lab (Bewerbung bis 30.04.2026).
Gefragt sind nicht nur Tool-Builder, sondern Forschungsarchitekt*innen, die kulturelles Erbe, multimodale Modelle und institutionelle Infrastruktur langfristig integrieren.
#DigitalHumanities #DigitalArtHistory #AIinResearch
https://www.biblhertz.it/en/opportunities/digital-humanities-scientist

Virginia Tech published something many universities still lack: Practical guidance on how to use AI responsibly in research - step by step, across the entire research lifecycle.

🔗 https://www.research.vt.edu/research-support/forms-guidance/sirc/considerations-responsible-ethical-use-ai.html

Not abstract principles. Concrete prompts. Clear warnings about IP, confidentiality, hallucinations, and dual-use risks. #AI should support thinking — not replace it.

#ResponsibleAI #ResearchIntegrity #OpenScience #AIinResearch #AIinScience #AIethics #universities

Are review articles dying in the age of AI?

A year ago, we thought so. Today, we see something more nuanced: generative AI is not replacing reviews — it is differentiating them. Descriptive syntheses are increasingly automatable, while reflexive, agenda-setting reviews become even more valuable as knowledge infrastructure:

https://doi.org/10.1002/leap.2045

#GenerativeAI #ScholarlyCommunication #AcademicPublishing #OpenScience #AIinResearch

Gave a lecture today on Digital & AI Tools for Responsible Science at Kyiv Aviation Institute 🇺🇦
We discussed how digital tools and AI support the full research lifecycle — from ideas to publication and communication — and why impact, responsibility, and ethics matter.
Slides: https://doi.org/10.5281/zenodo.18359614

#ResponsibleScience #AIinResearch

A clear, step-by-step guide by Naveed Rehman on how to write a scientific paper, including recommended software and AI tools for each phase of the process.

https://www.linkedin.com/posts/drnaveedurrehman_use-this-4-week-planner-to-write-a-research-activity-7416807045783326722-Dt6o

#AcademicWriting #ScientificWriting #ResearchWorkflow #PhDLife #OpenScience #AIinResearch

📄🤖✍️

GAIDeT Declaration Generator for #LaTeX 🔥 A simple and convenient tool for transparent disclosure of #GenAI use in scholarly texts: #GAIDeT → LaTeX → ready for submission.

This is exactly how responsible #AI should work 👉 https://aidisclose.org/

#ResearchIntegrity #AIinResearch #Publishing #ResponsibleAI

If you feel ashamed to disclose how you used genAI in your research, you probably used it the wrong way.

This was the key message from my presentation for PhD students at a Kyiv Polytechnic University:

👉 https://www.researchgate.net/publication/398532298_Stucnij_intelekt_u_naukovij_roboti_prakticni_mozlivosti_ta_eticni_mezi_Artificial_intelligence_in_research_practical_possibilities_and_ethical_boundaries

#GenAI #ResearchIntegrity #AcademicEthics #OpenScience #PhDlife #CriticalThinking #AIinResearch #AIinScience #AIethics #AI

For ten years, #CRediT 🎂 has offered 14 standardized contributor roles that make authorship transparent: https://www.nature.com/articles/d41586-025-03860-5

But there is a clear gap: CRediT has no place for #AI tools. So how should we properly disclose the use of ChatGPT & Co in research? One answer is #GAIDeT - Generative AI Delegation Taxonomy https://w3id.org/gaidet

#ResearchIntegrity #Responsible #OpenScience #Infrastructure #AIinResearch #Metadata #ResearchAssessment #AIinScience #AIethics

Major AI conference flooded with peer reviews written by AI

https://www.nature.com/articles/d41586-025-03506-6

#HackerNews #AIconference #AIreviews #PeerReview #Technology #Ethics #AIinResearch

✨ New on The Scholarly Kitchen!
My interview with Frances Pinter on #GAIDeT – the Generative AI Delegation Taxonomy.
Why this matters:
🔹 AI detectors don’t work
🔹 GAIDeT reduces stigma & fear
🔹 Task-based disclosure > useless prompt dumps
🔗 Read: https://scholarlykitchen.sspnet.org/2025/09/30/guest-post-taxonomy-of-delegation-how-gaidet-reframes-ai-transparency-in-science-an-interview-with-yana-suchikova/
🔗 Try GAIDeT: https://doi.org/10.1080/08989621.2025.2544331
#OpenScience #AIinResearch #AcademicPublishing #UkraineScience

Major publishers (SN, CUP, Elsevier, Wiley, T&F, ACS, IEEE, BMJ), via the STM Association, published an AI classification for manuscripts: https://scholarlykitchen.sspnet.org/2025/09/23/guest-post-classifying-ai-use-in-manuscript-preparation-a-recommendation/
In The Scholarly Kitchen they also mentioned GAIDeT among transparency initiatives: https://doi.org/10.1080/08989621.2025.2544331
#GAIDeT #AIinResearch #OpenScience #AcademicPublishing

Here's my take on #AIinResearch : we should evaluate the output of #LLMs critically, applying the same principles of research integrity that we should also use to evaluate any other source. https://renebekkers.wordpress.com/2025/07/01/the-high-five-a-checklist-for-the-evaluation-of-knowledge-claims/

Paper2Code: Automating Code Generation from Scientific Papers

https://arxiv.org/abs/2504.17192

#HackerNews #Paper2Code #Automating #Code #Generation #ScientificPapers #AIinResearch

AI assisted search-based research works now

https://simonwillison.net/2025/Apr/21/ai-assisted-search/

#HackerNews #AIassistedResearch #searchtechnology #innovation #AIinResearch #futureofAI

I spoke to Chris Stokel-Walker for Scientific American about whether researchers can use generative AI, especially large language models, to replace human participants.

My short answer: no. My long answer:
https://www.scientificamerican.com/article/can-ai-replace-human-research-participants-these-scientists-see-risks/

#LargeLanguageModels #ScientificAmerican #ChrisStokelWalker #GenerativeAI #LLMs #HumanResearch #SyntheticData #SyntheticDataGeneration #SimulatedData #DataSimulation #AItools #AIinResearch #ResearchTools #ResearchMethods #AcademicMastodon #ResearchEthics

🚀 Ready to elevate your collaborative research projects to astronomical heights? 🌌

In a follow up to last weeks introduction video, this week I dive into the collaboration features of NotebookLM. Whether you're working with classmates, colleagues, or your favourite astrophysics professor, NotebookLM is the ultimate tool for streamlining teamwork, capturing insights, and organising research.
Imagine effortlessly sharing notes, synchronising documents, and leveraging AI-driven insights—all in one place. 📄✨

Curious to see how it works? Click the link below to watch the full tutorial and discover how NotebookLM can be your guiding star in collaborative research!
🎥 https://lnkd.in/eGT4Ne7i

#CollaborativeResearch #NotebookLM #Teamwork #ResearchTools #AIinResearch #ProductivityBoost #Gemini #YouTube #FediTips

Tired of endlessly sifting through multiple documents and resources when studying or researching? 🔍 NotebookLM, Google's AI-powered tool, can revolutionise your workflow when it comes to analysing all this data. 🚀

NotebookLM can summarise complex information, answer your questions, and even analyse images and charts! 🤯 It can even help with generating study guides with short form and essay style questions for you!

And the best part is that you can have separate, saved notebooks for each of your topics. It's the ultimate AI Powered Study tool!

Check out my walkthrough video below, and massive thanks to Sam Richards PhD for graciously letting me use his SAMI Galaxy Survey papers for my demo!
🎥 https://youtu.be/RByBTmfGbNE

#NotebookLM #GoogleAI #ResearchTools #ProductivityHacks #AIinResearch #YouTube #FediTips