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Hiya team! How you can get the most out of this community
This space works best when you run the conversation. My role is to guide, support, and unblock you – not to broadcast at you. Here’s how to make the most of it. 1. Start the conversations you wish existed - Post your questions, challenges, and wins – even if they feel “small” - If you’re stuck (paper, career, project, idea), share context + a specific question - Think: “If someone else posted this, would it help me?” – if yes, hit post 2. Use my time intentionally You can access me best by: - Posting in the feed with a clear title and tag (e.g. “Publishing help”, “Career decision") - Tagging me when you want direct feedback or a second brain on something - Bringing concrete things: draft abstracts, LinkedIn posts, reviewer responses, research ideas, career decisions The clearer your ask, the more value I can give in less time. 3. Help each other (this is huge) - Reply to at least one post per week – even with a short thought or question - Share what has worked for you, not just what you’re struggling with - Treat this as a “lab group without borders”: we all get better when we think together If you only consume, you’ll learn something; if you contribute, you’ll learn much more.That's why I do this community! 4. Share your progress publicly - Post quick updates: “Today I…”, “This week I…”, “I finally…” - Celebrate small wins (finished a draft, submitted a paper, survived a review, posted on LinkedIn) - Reflect briefly: “What I learned from this…” – this helps others and cements your own learning 5. Simple norms to keep this valuable - Be specific, be kind, be honest - No “perfect posts” needed – rough and real is fine - Assume everyone here is busy and trying – respond the way you’d want others to respond to you If you’re not sure what to post first, try this: “Here’s where I am right now + the one thing I’m stuck on + the one thing I want from this community.” What’s one post you could make today that would immediately make this community more useful for you and for someone else?
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It's open — Inner Circle is live (founding seats available)
Big day, team. Inner Circle just went live. If you've been in this community for a while, you know what we do here — show up, share the protocols, cheer each other on. That's what this free room is for. Inner Circle is the next room. It's the one where you get me every week, in the trenches, on your paper. Here's what's inside: - Weekly live coaching call with me — 60 minutes, recorded so it survives a teaching clash - Classroom — access to academic writing and publishing course and past webinar recordings (plus any new course that will be built) - Academic templates and submission frameworks I use on my own papers Founding pricing $297 per year for the VIP tier - lock for as long as you stay. (Standard cost will be higher) 30 founding seats - one already taken. First-come, first-served. 👉 Grab your seat: Inner Circle (upgrade from inside the community) Or drop "IN" in the comments and I'll send you the details personally. This is the room I wish I'd had during my PhD. If you're tired of writing in isolation, I'd love to have you inside. — Dawid
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Researchers, you're using AI wrong (unintentionally).
You paste in your drafts and ask it to "make it better." That's not using AI. That's outsourcing your thinking (and slowly handing your job to a machine.) Here's how I think about it differently: AI is my writing advisor and sounding board I can talk to 24/7. Not my ghostwriter. When I use AI in my writing, I'm not asking it to replace what I do. I'm using it to: → challenge my arguments before a reviewer does → pressure-test my logic when I'm too close to the work → help me see my own weaknesses faster The goal is to come out of that process with better quality output, not to produce something I couldn't have written myself. Here's the uncomfortable truth: If AI can fully replicate your academic voice, your reasoning, your expertise... what exactly are you bringing to the table? Your unique value isn't your ability to write sentences. It's the decades of domain knowledge, the hard-won intuition, the ability to ask questions no one else is asking. AI should amplify that. Not replace it. Now, as a lifelong learner, I'm curious how you are using AI in your academic writing or research workflow?
[new article] Why your work is rejected for unclear novelty?
Your paper comes back rejected after a year of work. The review isn't brutal. It's vague - "The contribution isn't clear." No fatal flaw in the methods. Nothing to point at and fix. Just: unclear. I've seen it in nearly every field I've supervised, examined and mentored in - engineering, social science, medicine. The surface details change; the rejection sentence barely does. The science is rarely the problem. It's a framing problem wearing a rejection letter. Here's what most people don't realise about the other side of the submission portal: Between a 30% and 70% of papers are rejected before peer review even starts. And the single most common reason isn't bad methods — it's "we can't see what's new here." That's because reviewers don't read your paper the way you wrote it. They skim. A reviewer forms their initial opinion from the abstract and the first figure, and the rest is mostly confirming that first impression. So your contribution has to survive such a 90-second skim. Three ways to make sure it does: 1. Write your one-sentence contribution first. "This paper shows that ___." One clause. If you need four, you haven't chosen yet. And no, reviewer will choose for you. 2. Plant that sentence on the skim path. The four places a reviewer looks first: abstract, last paragraph of the introduction, the figures, the conclusion. Your one idea, in plain words, in all four. Most papers state it once and imply it three times. That reads as "unclear." 3. Show the gap, don't assert it. "Little research exists on this" is a sentence reviewers distrust. A comparison table (prior studies down the side, the open column as your gap) does the work very well. None of this gets weak work past good reviewers. If the science is broken, fix the science. But for the pile of solid papers bounced for "limited novelty," the work is already done. You've just buried the point. That's a writing problem. Which is the good kind that you can fix in an afternoon. What's the one sentence your last paper was trying to say? Try writing it in the comments. It's harder than it looks.
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