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Statistics and Data Practices

Technology > Statistics and Data Practices


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.

2008 - 2009

Statistics and Data Practices (SDP) Summary

Statistics and Data Practices (SDP) Research Projects:

Full SDP report including all projects