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EVENT ANALYTICS FOR INNOVATION                         413



             CONCLUSIONS                                4.   Carter EA, Burd RS, Monroe M, Plaisant C,
               This preliminary exploration of using timestamped   Shneiderman B. Using eventflow to analyze
             event data to understand innovation trajectories   task performance during trauma resuscitation.
             shows promising possibilities. Even basic descriptive   Poster session presented at Workshop Interactive
             data reporting can substantially advance the capac-  Systems in Healthcare, WISH2013; 2013 Nov 16;
             ity for evidence-based decisions by policy makers,   Washington DC.
             investors, and entrepreneurs. Key goals include a   5.   Onukwugha E, Plaisant C, Shneiderman B. Data
             better understanding of which inputs produce more   visualization tools for investigating health ser-
             reliably successful outcomes.                 vices utilization among cancer patients. In: Hesse
               While geospatial, multi-variate, time series, hier-  BW, Ahern D, Beckjord E, editors. Oncology
             archical, and network data analyses are widely used,   informatics. London (UK): Elsevier Inc.; 2016.
             event analytics analysis represents a fruitful new path   p. 207-229.
             for researchers. As reliable datasets with temporal   6.   Dempwolf CS, Allen T, Benoit E, Choudhry
             event sequences become more widely available, these   R, Farhan H, Franklin K, Greene C, Haller A,
             event analytic approaches seem likely to produce   Johnson J, Mohamed A, Norman K, Prindle E,
             valuable results that could speed innovation trajec-  Rockwell Z, Schlie D. Innovation-led economic
             tories and make successful outcomes more common.  development in Howard County, Maryland:
                                                           using cluster analysis, network analysis and
             ACKNOWLEDGMENTS                               spatial analysis to identify economic develop-
               This research was supported in part by the   ment strategies. College Park (MD): University
             National Science Foundation, Award #1551041. The   of Maryland, College Park; 2015.
             authors declare no conflicts of interest. Scott Demp-  7.   Dempwolf CS, Auer J, Dippolito M. Innova-
             wolf wishes to acknowledge ongoing research support   tion accelerators: defining characteristics among
             from the U.S. Economic Development Administra-  startup assistance organizations. Washington
             tion’s University Center Program.             (DC): Small Business Administration; 2014.
                                                        8.   Milojević S. Principles of scientific research team
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