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Data Dialogue: Design intuition, ethnography, and data science

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Thursday, February 15, 2018
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11:45 am - 1:00 pm
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Schaun Wheeler
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Data Dialogue

Data science's future as a profession faces two major challenges: on the one hand, the technical portions of the day-to-day work are being increasingly automated, while on the other hand, increasingly frequent stories of algorithmic bias make people reticent to trust decision automation. In the interest of future-proofing the profession of data science, this talk will address the need for increased attention to a critical non-technical skill: design. Incorporating lessons from anthropological research methods, and referencing recent professional work on shape validation and geolocation precision calibration, the presentation will make a case for a greater focus on design skills and the need for a question-generating toolset.

Type: LECTURE/TALK
Contact: Ariel Dawn