A lot of textbooks and introductory lectures typically split AI into connectionism and GOFAI (Good Old Fashioned AI). From a purely technical perspective, it seems that connectionism has grown into machine learning and data science, while nobody talks about GOFAI, Symbolic AI, or Expert Systems at all.
Is anyone of note still working on GOFAI?
Sure! There's the whole Semantic Web scene! OWL is derived from DLs and Frames, arguably has a lot in common with semantic networks too. Expert-driven decision support systems are still being developed (and researched) in industries where the human is required to take responsibility or getting data is not going to happen. As the ideas evolve so do the names.
Check out the academic conferences like KR, ISWC, FOIS, even broader AI conferences like IJCAI have a healthy dose of symbolic AI, I even spotted a search algorithm in the 2019 line up.
Oh yeah, definitely. Just to pick one example, you have Douglas Hofstader's group at Indiana. I think most of what they do would fall under the rubric of GOFAI (or at least closer to that than the statistical machine learning stuff).
Beyond that, just go to the CORR and browse around the AI category. You'll see plenty of neural networks and probabilistic stuff, but you'll also find the papers by the folks doing symbolic processing / GOFAI as well.
