Editing Data science community
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In today's increasingly data-driven world, the ability to ask and answer questions with data is incredibly important. Effectively working with data requires both technical skills like programming and statistical knowledge as well as non-technical skills like the ability to ask good questions and form arguments. However, formal training programs and resources often emphasize technical skills but only rarely support the development of non-technical capacities. How can we design to help people learn these skills via informal, participatory, and creative online interactions? | In today's increasingly data-driven world, the ability to ask and answer questions with data is incredibly important. Effectively working with data requires both technical skills like programming and statistical knowledge as well as non-technical skills like the ability to ask good questions and form arguments. However, formal training programs and resources often emphasize technical skills but only rarely support the development of non-technical capacities. How can we design to help people learn these skills via informal, participatory, and creative online interactions? | ||
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=== People === | === People === | ||
The research team includes PhD student Regina Cheng, Dr. Benjamin Mako Hill, and student researchers Elliana Beberness, Helen Xu, Andy Shaw, Josephine Hoy, Joyce Chang, Katlyn Greene, and Caroline Rygg at University of Washington. | |||
Dr. Sayamindu Dasgupta, assistant professor at University of North Carolina at Chapel Hill is collaborating with the University of Washington team. |