As a part of our partnership with AnswerThis, I’ve recorded a short guide how I use this tool to understand specific area of research better. It’ll go live tomorrow, but I thought I’d give you early access - hope it helps! P.S. what do you think of using AI for research?

Nobody will tell you this: As a reviewer, I reject papers in Q1 journals more often than I’d like. Not because I’m harsh. Because high quality paper is less about “interesting” and more about proof. Most reject votes happen for the same reasons: - The contribution isn’t one clear, testable sentence - The methods don’t support the headline claim (scope/validation mismatch) - Benchmarking is unfair (weak baselines, mismatched conditions, cherry-picked comparisons) - “Novelty” is cosmetic (new label, minor tweak, same mechanism) - Uncertainty is ignored (no sensitivity/error analysis; no robustness checks) - Key assumptions are hidden or under-justified - The logic is hard to audit (writing obscures what was actually done) How to make reviewers want to say yes: - State your contribution in one line: “We show X because Y, validated by Z” - Compare against state of the art under matched conditions, same metrics, explain exclusions - Present assumptions early and quantify the top 3 sensitivities - Separate results from interpretation; label speculation as speculation - Make reproduction possible (data/code, or enough detail to replicate the workflow) Remember, reviewers don’t reject effort. We reject unsupported certainty.

Many of you are here to network but we don’t often know who is doing what - let’s change this: In a few words, please explain what is your core research area. Enjoy!

I am happy to share that we've agreed on our next guest webinar! This time, we're partnering with AnswerThis.io, who will explain in detail how you can use their AI tool to support your literature reviews and research. Event details: Date: 13th March 2026 Time: 4pm UK time (tbc closer to the date) Add this to your calendar here: https://www.skool.com/research-career-club-8446/calendar?calDate=1772713170&eid=5463c6008bcd416fac735998821a4cbe

I want to make sure this community is helpful for your career development. So I’m thinking, rather than doing generic Q&As, it may be more helpful if I do offer advice on your papers, presentations, expert profiles etc. Thoughts?