|
Just the references here are probably an amazing resource for early computer science, and I'm not going to argue against such a force. Seems to be a lot of uneasiness, of late, about the way credit is allocated in science. IMO, it's mistaken to point this at the top: nobel laureates, heroic icons like Einstein or Turing. These figures are supposed to be idolized and idealized. Yes, this is "untrue," technically. But, it serves many purposes. A nobel prize win elevates science by singling out scientists for hero status. Achilles elevated Greece by giving Greeks something to collectively aspire to or adulate. If you're already deeply interested in computer science, of course the detailed narrative recognizing dozens of brilliant early computer scientists is richer. Of course! Where poor credit allocation matters isn't historical hero narratives, it's at the working scientist level. The grants & positions level. Here, it's important to be accurate, fair, etc. Being inaccurate, unfair or corrupt at this level creates actual deficits. |
The Turing machine is a key conceptual model for understanding the basics of computation. The Turing Test is a great model for thinking about what being intelligent means. Hardly a week goes by without the term Turing Complete appearing somewhere in a HN comment. The fact that he also played an important role in the design and construction of actual practical computing machines, and did so to fight nazis seals the deal.
Of course there's more to it, there's plenty of credit to go around, but Turing is the perfect entry point for people to appreciate and learn more about all the work that went into the founding of computer science. It elevates the profile of the whole field.