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EVENT ANALYTICS FOR INNOVATION                         403



             Table 2. Sample Span Events
                             Event
               Record ID    Category    Start Date  End Date            Attributes

                                                             docnum="R01AG022559";Organization=
               AMYVID       Research    7/1/2003   2/28/2013
                                                             "UNIVERSITY OF PENNSYLVANIA"
                                                             docnum="R01NS033325";Organization=
              ALTOPREV      Research    4/1/1996   2/29/2000
                                                             "CHILDREN'S HOSPITAL BOSTON"
             innovation trajectories are functions of innovation  ideas and start-ups die due to lack of funding—and
             inputs as well as time.                    get more investment capital flowing into earlier-stage
               Innovation inputs include knowledge, talent, and  investments has remained unanswered in business,
             a product idea; intellectual property (IP); proof-of-  economic development, and public policy circles
             concept or proof-of-relevance; entrepreneurship;  for many years. Event analytics may help shed some
             and capital. Each event in an innovation sequence  light on this problem, catalyzing significant economic
             uses innovation inputs and produces outputs or out-  impacts in the process.
             comes that, in turn, become intermediate inputs in
             later activities. Entrepreneurial success is the desired   FOCUSING ON DRUGS AND MEDICAL DEVICES
             outcome and is defined herein as successful commer-    This paper demonstrates our analytic meth-
             cialization of a product resulting in the launch of a  ods using drugs and medical devices, which is an
             new product in the marketplace.            important example for which data is readily avail-
               A useful empirical question is: How long do these  able because they are regulated products. We model
             innovation trajectories take? The answer to this  innovation trajectories as sequences of events leading
             question has implications for public and private  to the launch of new products, which is the desired
             investment in innovation as well as public policy.  outcome for entrepreneurial success. Clinical trials
             For example, one open policy question is: Do inno-  and FDA approvals offer useful proxies for the com-
             vation accelerators actually accelerate innovation and,  mercialization process, where available data is often
             if so, by how much? Policymakers considering the  limited. Certain FDA approvals may also provide
             investment of public funds in accelerator programs  useful proxies for product launch dates.
             want to know if such programs are effective before
             committing public funds (7).               EVENT ANALYTICS FOR INNOVATION
               New temporal metrics for innovation will help   TRAJECTORIES
             future researchers answer many policy questions,    EventFlow produces several event analytics and
             including those identified in the National Research  different visualizations that can help users understand
             Council’s 2014 report. Indeed, baseline measures may  innovation trajectories in new ways. By grouping
             hold the key to developing a better class of metrics  similar event sequence patterns together, EventFlow
             for innovation and its economic impacts. Realistic  provides users with descriptive statistics and visual-
             estimates of confidence intervals for the duration of  izations for groups of records with the same sequence
             innovation sequences could reduce certain types of  pattern. These descriptive statistics and visualizations
             investment risk, thus making more capital available  have several uses:
             for prototyping and commercialization activities.    Descriptive Statistics (Metrics or Measures): For
               Billions of dollars are invested in the commer-  most research projects, the production of descriptive
             cialization of new products; however, most of that  statistics is not cause for much excitement. However,
             money increasingly favors later-stage investments,  in the case of innovation, there are no clear metrics
             where there is greater certainty about the product’s  on how long innovation processes take.
             potential success and how long investment capital    Visualization and Exploration of Sequence
             will be tied up. The question of how to shrink the  Patterns: Understanding the compositions and fre-
             so-called “Valley of Death”—the stage where many  quencies of different sequence patterns may also yield
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