I have been trying to better understand the current state of Julia adoption, not only in general terms, but across different dimensions and use cases. I would be interested in hearing from people who use Julia professionally, academically, or as part of open-source work. In particular, I would like to understand: Academic and research adoption How common is Julia in universities, research groups, laboratories, and scientific computing environments? Industry adoption Are there sectors where Julia is being used in production systems, internal analytics, simulation, optimization, finance, engineering, or data science workflows? Comparison with Python, R, MATLAB, and C++ In your experience, where does Julia currently stand in relation to these languages? Is it replacing them in some contexts, complementing them, or remaining mostly niche?…