Maintaining intellectual diversity in data science

@maosbot This touches on what I was getting at here: https://t.co/5w0pVoCp8v If ML work is judged by raw performance against SotA then theres a risk of an intellectual cul-de-sac.

@maosbot Some community separation is good for maintaining diversity, just like its good to keep rats away from islands. If one stats thing is currently best, its still worth keeping others around, in case they are useful later, or in combo. Inevitable pap

#Datascience is a young and rapidly expanding field, but one which has already experienced several waves of methodological fashions. A #diversity of ideas and methodologies is crucial for the long term success of the data science community. https://t.co/U

RT @bschmid1: V interesting paper on diversity in research #DataScience https://t.co/kYTLkOUEDA