After surveying the landscape of AI and productivity tools for researchers, here's a practical toolkit recommendation for PhD students and early-caree
Peer review is the bottleneck of academic knowledge production — it's slow, inconsistent, and conducted by the same overcommitted researchers who are
Science communication — explaining research to non-specialists through media, policy briefs, public lectures, and social media — is increasingly expec
Open science — open access, open data, open methods, preregistration — has moved from fringe advocacy to mainstream expectation in most fields over th
German research institutions are responding to AI tools with characteristic deliberateness — careful development of guidelines, formal approval proces
AI literacy for researchers isn't about knowing how to code AI models — it's about understanding AI systems well enough to use them critically and exp
The first three years of a PhD or postdoc are when habits and skills form that shape the rest of your career. AI tools available now can dramatically
Academic publishing is changing faster than at any point since digital archiving. The changes driven by AI are structural, not superficial — and under
AI ethics in research isn't a theoretical topic — it's a set of practical decisions that affect your daily work. Here are the questions that matter an
Every researcher using AI tools is navigating a policy landscape that's still being written. What was acceptable at your institution six months ago ma