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Christian Stefansen
Researcher at University of Copenhagen
Publications - 15
Citations - 587
Christian Stefansen is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Workflow & Business process. The author has an hindex of 9, co-authored 15 publications receiving 525 citations. Previous affiliations of Christian Stefansen include Google & University of Copenhagen Faculty of Science.
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Journal ArticleDOI
Enhancing disease surveillance with novel data streams: challenges and opportunities
Benjamin M. Althouse,Samuel V. Scarpino,Lauren Ancel Meyers,Lauren Ancel Meyers,John W. Ayers,Marisa Bargsten,Joan Baumbach,John S. Brownstein,John S. Brownstein,John S. Brownstein,Lauren Castro,Hannah E. Clapham,Derek A. T. Cummings,Sara Y. Del Valle,Stephen Eubank,Geoffrey Fairchild,Lyn Finelli,Nicholas Generous,Dylan B. George,David R. Harper,Laurent Hébert-Dufresne,Michael A. Johansson,Kevin J. Konty,Marc Lipsitch,Gabriel J. Milinovich,Joseph D. Miller,Elaine O. Nsoesie,Elaine O. Nsoesie,Donald R. Olson,Michael J. Paul,Philip M. Polgreen,Reid Priedhorsky,Jonathan M. Read,Isabel Rodriguez-Barraquer,Derek J. Smith,Christian Stefansen,David L. Swerdlow,Deborah L. Thompson,Alessandro Vespignani,Amy Wesolowski +39 more
TL;DR: This paper outlines a conceptual framework for integrating NDS into current public health surveillance and presents the case that clearly articulating surveillance objectives and systematically evaluating NDS and comparing the performance of NDS to existing surveillance data and alternative NDS data is critical.
Journal ArticleDOI
Advances in nowcasting influenza-like illness rates using search query logs
Vasileios Lampos,Vasileios Lampos,Andrew Miller,Andrew Miller,Steve Crossan,Christian Stefansen +5 more
TL;DR: This work investigates the performance of a widely used linear regularized regression solver, known as the Elastic Net, and suggests that query information significantly improves autoregressive inferences, obtaining state-of-the-art performance.
Google disease trends: an update
TL;DR: In addition to the general public, an important target audience for GFT has been public health officials, who can benefit from reliable daily estimates and often make far-reaching decisions based on predicted flu incidence.
SMAWL: A SMAll Workflow Language Based on CCS
TL;DR: This paper provides a overview of SMAWL, a SMAll Workflow Lan- guage based on CCS (Calculus of Communicating Systems), and presents excerpts of the compositional source-level translation to CCS.
Journal ArticleDOI
Compositional specification of commercial contracts
TL;DR: A declarative language for compositional specification of contracts governing the exchange of resources that supports definition of user-defined contracts, automatic monitoring under execution and user-definable analysis of their state before, during and after execution.