CENS

Data, statistical models and inferential procedures permeate CENS research, from the four founding scientific application areas to the more recent urban sensing campaigns and “n-of-one” personal data collection exercises. In addition to our collaborative work with application scientists, we also focus on three cross-cutting activities: (1) General statistical models for embedded sensing, with speciﬁc applications to data quality and continuous sampling, (2) Signiﬁcant CENS-designed and supported databases and repositories, and (3) Studies into the data lifecycle for embedded sensing systems. On their own, these three tell a story of data sharing and reuse, of application-driven system design, and of the multiple levels of analysis that take place simultaneously in an interdisciplinary center like CENS.