Disentanglement research

Disentanglement research refers to "a type of research that involves disentangling ideas and questions in a “pre-paradigmatic” area where the core concepts, questions, and methodologies are under-defined." When coining the term, Carrick Flynn gave Nick Bostrom as an example of someone skilled at this type of research.[1]

Further reading

Flynn, Carrick (2017) Personal thoughts on careers in AI policy and strategy, Effective Altruism Forum, September 27.

Disentanglement research refers to "a type of research that involves disentangling ideas and questions in a “pre-paradigmatic” area where the core concepts, questions, and methodologies are under-defined." When coining the term, Flynn (2017) gave Nick Bostrom as an example of someone skilled at this type of research.[1]

BibliographyFurther reading

  1. ^

    Flynn, Carrick (2017) Personal thoughts on careers in AI policy and strategy, Effective Altruism Forum, September 27.

Disentanglement research refers to "a type of research that involves disentangling ideas and questions in a “pre-paradigmatic” area where the core concepts, questions, and methodologies are under-defined." When coining the term, Flynn (2017) gave Nick Bostrom as an example of someone skilled at this type of research.

Related entries

research methods | scalably using labour

I think it'd be useful for someone to expand this entry by drawing on the content of Flynn's original 2017 post and the content of nonzerosum's post, and by explaining how this sort of work can aid in in scalably using labour.