That's the question asked by this recent article in the Atlantic by Don Peck, which focuses on using nontraditional data to match workers to jobs, either for hiring new workers or for assigning workers to tasks within a firm.
One of the companies they mention (and one I'm interested in) is Knack, which has created video games which generate apparently useful kinds of data about individuals.
In general, there's a question of what should the inputs be for a matching algorithm, and for many purposes economists have focused on preferences, but 'big data' offers some possibilities for informing preferences and identifying good matches.
(See an earlier related post with links to other articles here: New sources of data for selecting who to hire )
One of the companies they mention (and one I'm interested in) is Knack, which has created video games which generate apparently useful kinds of data about individuals.
In general, there's a question of what should the inputs be for a matching algorithm, and for many purposes economists have focused on preferences, but 'big data' offers some possibilities for informing preferences and identifying good matches.
(See an earlier related post with links to other articles here: New sources of data for selecting who to hire )
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