Research is learned by doing it, not by waiting until you feel qualified.
At a lot of institutions, final year students are handed a research project with very little real guidance. They pick a topic, write the introduction, do the literature review, figure out the methodology, and defend it. Historically that meant hours of struggling to find data, structure an argument, and learn a process nobody properly taught them, and it looked different depending on the field, with no one really teaching the methodology behind it.
Now AI makes it possible to skip all of that. Students can prompt a model and get a full thesis back without ever learning how research actually works, in any discipline.
ResurchIn's curator has lived both sides of this. She went through the hard version of research as a student, later helped other students with their own projects, and now works as a data scientist on Alzheimer's biomarker research. That is why ResurchIn is built the way it is: tutors from any field teach the specific methodology only they can teach. It exists to close the gap between struggling through research alone and skipping it entirely, so people build a real skill instead of quietly outsourcing it to AI.