Hesso Farhan

@hessofarhan.bsky.social

Professor at the Medical University of Innsbruck, Austria. Interested in Endoplasmic Reticulum, Mechanobiology, Proteostasis, Organelles, Cell migration, Pseudoenzymes

Had a UKRI funded grant proposal rejected at the "AI triage stage". "This AI-based triage was used only to identify approximately 50% of the strongest proposals to take forward to full human review." 🧪 #academicsky

I am writing to let you know that, unfortunately, your application was not successful.

Review process

As part of the initial triage of the 179 proposals submitted to this call, each was assessed using an AI-based review. Every proposal was read independently by several different AI models against the same seven criteria used to shape this call (including cyber security relevance, research quality and novelty, importance of the problem addressed, feasibility of the project plan, likely outputs and impact, value for money, and responsible research practice), with each model asked to give a score and a written justification with supporting quotations from the text. To guard against any one model's idiosyncrasies, we also ran a second, independent process in which different AI models debated the merits and weaknesses of each proposal before reaching a judgement, again against the same criteria. Scores from both processes were combined to produce an overall ranking. 

This AI-based triage was used only to identify approximately 50% of the strongest proposals to take forward to full human review.  Projects selected for funding were drawn from those that progressed to the full human review stage. We recognise that AI-assisted assessment is a new and evolving part of the review process, and we are continuing to evaluate how well it aligns with the judgements of human reviewers on this call. We will soon produce a document detailing our method, so that others can build upon it and improve it.

Feedback on your application

Your application was not selected to progress beyond the AI triage stage.  To provide transparency on the outcome of this assessment, we are sharing below the scores (out of 5) from each of the two AI review processes described above, together with the mean score across the two processes.

Our study on DFCP1 and lysosome membrane repair is live! We uncover a previously unrecognized role for omegasomes in the cellular response to lysosomal membrane damage, revealing another layer of regulation in how damaged lysosomes are repaired. www.nature.com/articles/s41...

DFCP1-containing ER microdomains mediate lysosomal membrane repair - Nature Cell Biology

Radulovic et al. show that phosphatidylinositol 3-phosphate (PI3P), produced by the phosphatidylinositol 3-kinase PIK3C3, is formed on ER domains after lysosome damage. ER domain PI3P helps to recruit...

nature.com

We offer a PostDoc position for a fully funded project on lipid-encoded #lipidtime protein quality-control checkpoints at the Golgi: great collaborators, excellent working & living conditions & benchspace with a view ;) Please share and repost!

Bild

Postdoc job alert at Institut Jacques Monod in Paris! Interested in fundamental membrane trafficking? We seek a postdoc to study collagen secretion as a model for core principles of how cells and their environment build each other. emploi.cnrs.fr/Offres/CDD/U...

Portail Emploi CNRS - Offre d'emploi - Poste de chercheur postdoctoral en trafic membranaire fondamental et sécrétion du collagène (H/F)

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler

emploi.cnrs.fr

Our new paper's out: FidlTrack—structure-aware single-particle tracking benchmarks/boost SPT fidelity With it we resolve with sub-organelle res. e.g. BACE1 amyloidogenic APP cleavage #Alzheimers, ER exit events, map nanobody binding in realtime in ER/organelles 🔬🧠#SingleMolecule rdcu.be/e3Ris