Book Review: Self-Tracking in Science
Thank you Connor Farrington for reviewing Self-Tracking in Science. Conor Farrington. 2016. “Big Data Meets Human Health,” Science 353 (6296/ July 16): 227. doi: 10.1126/science.aaf8769
Developing a Research Agenda for Human-Centered Data Science
The study and analysis of large and complex data sets offer a wealth of insights in a variety of applications. Computational approaches provide researchers access to broad assemblages of data, but the insights extracted may lack the rich detail that qualitative approaches have brought to the understanding of sociotechnical phenomena. How do we preserve the […]
Technical Boundary Spanners and Translation: A Study of Energy Modeling for High Performance Hospitals
High performance buildings—buildings with the aim of reduced energy and resource use— require that engineering analysis be at the center of an iterative and complex design process that assesses trade-offs, goals, and priorities across engineering and other fields of expertise. It has been observed that teams rarely get this right. Historical, cultural, and technical issues […]