u/spiderrrm4n

I’ve been thinking about this recently because a lot of modern research seems to involve collaboration across multiple fields now, especially in areas connected to AI, complex systems, data science, and computational research.

In theory, interdisciplinary environments sound great because you’re exposed to different perspectives, methods, and ways of thinking. But I’m also wondering whether they sometimes create more friction than productivity:

more meetings

more coordination

broader project scope

difficulty staying focused deeply in one area

For people who’ve worked in highly interdisciplinary labs or institutes during their PhD:

Did it actually help your productivity and research quality, or did it mostly make research more complicated?

One thing I’ve been thinking about recently is how fragmented some research fields can feel during a PhD, especially in AI-adjacent areas where work often overlaps with statistics, social science, neuroscience, and complex systems.

Traditional departments still provide strong academic structure, but I’m curious whether more interdisciplinary research institutes are starting to fill gaps that universities sometimes struggle with.

For those already doing PhDs:

• Do you think interdisciplinary institutes genuinely improve collaboration and research quality?
• Or do they mostly replicate what strong university labs already provide?
• Have any of you worked with or collaborated with independent institutes during your research?