Before you build on a result, cite it as fact, or base months of work on it, you need more than peer review. You need a way to audit the claim itself.
This is a practical, step-by-step framework for doing exactly that.
Before you build on a result, cite it as fact, or base months of work on it, you need more than peer review. You need a way to audit the claim itself.
This is a practical, step-by-step framework for doing exactly that.
It fails because the workload quietly becomes unsustainable.
This toolkit focuses on habits that save time, reduce stress, and actually scale over years, not weeks. 👇
It fails because the workload quietly becomes unsustainable.
This toolkit focuses on habits that save time, reduce stress, and actually scale over years, not weeks. 👇
In reality, it answers a narrower question:
Is this defensible right now?
Reliability usually emerges after publication, through reuse, comparison, and time.
Why peer review alone does not guarantee reliable research 👇
In reality, it answers a narrower question:
Is this defensible right now?
Reliability usually emerges after publication, through reuse, comparison, and time.
Why peer review alone does not guarantee reliable research 👇
Auditing. Transparency. User education. Accountability.
📅 Feb 5
🎙 Shiran Dudy
🔗 luma.com/qx2g8mee
Auditing. Transparency. User education. Accountability.
📅 Feb 5
🎙 Shiran Dudy
🔗 luma.com/qx2g8mee
If you want reliable evidence, you need to evaluate papers at the study level, not the venue level.
Here’s a practical system that scales under time pressure.
If you want reliable evidence, you need to evaluate papers at the study level, not the venue level.
Here’s a practical system that scales under time pressure.
It’s shaped by constraints, risks, and the questions a field can realistically ask.
How scientists evaluate evidence across disciplines.
It’s shaped by constraints, risks, and the questions a field can realistically ask.
How scientists evaluate evidence across disciplines.
That doesn’t make them unreliable by default. It makes reader judgment more important.
When to trust them, and when to slow down.
That doesn’t make them unreliable by default. It makes reader judgment more important.
When to trust them, and when to slow down.
Bias, misinformation, privacy loss, labor impacts - they’re already here.
Join Shiran Dudy for a practical talk on AI risk and accountability.
📅 Feb 5
🔗 luma.com/qx2g8mee
Bias, misinformation, privacy loss, labor impacts - they’re already here.
Join Shiran Dudy for a practical talk on AI risk and accountability.
📅 Feb 5
🔗 luma.com/qx2g8mee
Research requires traceability, uncertainty, and accountability.
That mismatch is why many AI tools quietly fail researchers.
What actually works instead.
Research requires traceability, uncertainty, and accountability.
That mismatch is why many AI tools quietly fail researchers.
What actually works instead.
It’s about whether someone else could reconstruct why each paper is there.
Here’s a workflow that makes reviews auditable, updatable, and defensible.
It’s about whether someone else could reconstruct why each paper is there.
Here’s a workflow that makes reviews auditable, updatable, and defensible.
Codex uses persistent identifiers, versioning, and decentralized resolution to keep science accessible and reusable over time.
Why durability matters more than ever:
Codex uses persistent identifiers, versioning, and decentralized resolution to keep science accessible and reusable over time.
Why durability matters more than ever:
Here are the 5 Custom GPTs that actually work for academic and scientific research, not generic web summaries.
Full list 👇
🔗
Here are the 5 Custom GPTs that actually work for academic and scientific research, not generic web summaries.
Full list 👇
🔗
and found nothing?
That paper probably never existed.
Here’s why fake citations happen and how to avoid them when doing research 👇
and found nothing?
That paper probably never existed.
Here’s why fake citations happen and how to avoid them when doing research 👇
Thank you for supporting open science, better research infrastructure, and new tools for sharing and accessing knowledge throughout 2025.
We’re excited for what’s ahead - more collaboration, more innovation, and a more open science ecosystem in 2026. 🥂
Thank you for supporting open science, better research infrastructure, and new tools for sharing and accessing knowledge throughout 2025.
We’re excited for what’s ahead - more collaboration, more innovation, and a more open science ecosystem in 2026. 🥂
This blog breaks down what those habits look like, from research queues to literature windows to warm-start rituals.
This blog breaks down what those habits look like, from research queues to literature windows to warm-start rituals.
This post breaks down how to recognize genuine innovation, avoid buzzword traps and understand the leverage a study really provides.
This post breaks down how to recognize genuine innovation, avoid buzzword traps and understand the leverage a study really provides.
Thanks for supporting open science, transparent peer review, and better tools for researchers.
Here’s to more innovation and collaboration in the year ahead.
Happy Holidays from DeSci Labs! 🎁🔬
Thanks for supporting open science, transparent peer review, and better tools for researchers.
Here’s to more innovation and collaboration in the year ahead.
Happy Holidays from DeSci Labs! 🎁🔬
This blog breaks down practical habits to keep your reasoning sharp: rewriting questions, pre-registering methods, reading contradictory work, and using tools like SciWeave to see the full evidence picture.
Worth a read:
This blog breaks down practical habits to keep your reasoning sharp: rewriting questions, pre-registering methods, reading contradictory work, and using tools like SciWeave to see the full evidence picture.
Worth a read:
This post shows how to scan effectively, focus on the core structure, use figures first, and avoid getting pulled into unnecessary details.
This post shows how to scan effectively, focus on the core structure, use figures first, and avoid getting pulled into unnecessary details.
Find out how:
Find out how: