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   are they doing it, and what data are they col-      transfer and commercialization affect women’s   disparities in science. Nat Int Wkly J Sci.  16.  Khan BZ. Married women’s property laws and
   lecting? Are they collecting this data by       participation in patenting and start-ups? What    2013;504(7479):211-213.   female commercial activity:  evidence from
   discipline?     initiatives exist to intentionally raise aware-   6.  Nager A, Hart D, Ezell S, Atkinson RD. The   United States patent records, 1790–1895. J Econ
 b.  What was the impetus for the pioneering       ness of and to engage women in the technology  demographics of innovation in the United States.   Histor. 1996;56(02):356-388.
   institutions to collect data? Who are they?       transfer process?  Washington (DC): Information Technology and  17.  Whittington KB, Smith–Doerr L. Women
   What specific characteristics do these institu-   Innovation Foundation; 2016 [accessed 2016   inventors in context: disparities in patenting
   tions have in common?   Promoting Women’s Involvement in Patenting   Sept 13]. http://www.inthekzone.com/report-   across academia and industry. Gend Soc. 2008;
 and Commercialization  ranking-images-pdfs/2016-demographics-of-   22(2):194–218
 Data Analysis to Identify Trends and/or Gender     As Milli et al. (8) suggested, there is a need for   innovation. pdf.   18.  Hunt J, Garant J, Herman H, Munroe DJ. Why
 Bias  additional tools and resources to better understand   7.  Stephan PE, El-Ganainy A. The entrepreneur-  are women underrepresented amongst paten-
   Further, substantive data gathered by those insti-  and measure female participation in the innovation   ial puzzle: explaining the gender gap. J Technol   tees? Res Policy. 2013;42(4):831-843.
 tutions should also be further analyzed to establish   economy. This study is an initial analysis of such   Trans. 2007;32(5):475-487.   19.  Frietsch R, Haller I, Funken-Vrohlings M, Grupp
 the degree of involvement in the patenting and com-  systems and tools, and it is hoped that — by raising   8.  Milli J, Gault B, Williams-Baron E, Xia J, Berlan   H. Gender-specific patterns in patenting and
 mercialization process by women and to assess the   awareness on a national level — more data will be   M. The gender patenting gap. Washington (DC):   publishing. Res Policy. 2009;38(4):590-599.
 variables that impact participation rates in innovation   made available for institutions to utilize and create   Institute for Women’s Policy Research; 2016  20.  Ashcraft C, Breitzman A. Who invents IT?
 based on gender. Areas for further research include:  strategies and mechanisms to help address the issue of   [accessed 2016 Sept 13]. http://www. ipwatchdog.  Women’s participation in information technol-
 gender disparity and increase the inclusion of women   com/wp-content/uploads/2016/07/gender-pat-  ogy patenting. Boulder (CO): National Center
 a.  At participating institutions, what percent of    in the innovation lifecycle, particularly at the uni-
    total disclosures/patents included women?    versity disclosure and patenting level. If universities   ent-gap.pdf.  for Women & Information Technology; 2007
    What does that percent look like across the    become more informed about their gender metrics   9.  Kahler A. Examining exclusion in woman-in-  & 2012. [accessed 2017 Aug 17]. https://www.
    institutions that participated in the survey?  in IP development, they can better address imbal-  ventor patenting: a comparison of educational   ncwit.org/sites/default/files/resources/ 2012 who-
                                                           inventsit_web_1.pdf.
                trends and patent data in the era of computer
 b.  Do institutions that track gender in relation to    ances. Programs and outreach efforts can be targeted   engineer Barbie. Am Univ J Gend Soc Policy  21.  Blume-Kohout M. Understanding the gender
    patenting and commercialization also track    to help improve metrics, and culture changes can be
                Law. 2011;19(3):773-798.
    gender in relation to research funding? Is there    explored/addressed and opportunities provided. The   10.  Murray F, Graham L. Buying science and sell-  gap in STEM fields entrepreneurship. U.S. Small
                                                           Business Administration Office of Advocacy
    a correlation in the percentage of women with   AUTM/WIC has ongoing initiatives to help address   ing science: gender differences in the market   Report No. 424. Washington (DC): Small
    research funding and the percentage of women   these challenges and continue to grow the knowl-  for commercial science. Ind and Corp Change.   Business Administration; 2014. [accessed 2017
    involved in patenting and commercialization?  edge base to provide strategies and resources. For   2007;16(4):657–689.   July 11]. https://www.sba.gov/sites/ default/ files/
 c.  What is the entrepreneurial climate for institu-  example, the WIC/MSC has begun the second phase   11.  Garber S. Gender and the USPTO. Above   Gender%20Gap%20in%20STEM%20Fields_0.
    tions that are collecting data? What are indi-  of the research outlined in this study: supplemental   the Law. 2016 Mar 16. [accessed 2016 Sept   pdf.
    cators for promoting entrepreneurship in   questions specifically related to commercialization   12]. http://abovethelaw.com/2016/03/gender-  22.  Turk-Bicaki L, Berger A, Haxton C. Leaving
    faculty? What incentive structures are there for   tracking by gender added to the 2016 AUTM survey.   and-the-uspto/.  STEM: STEM Ph.D. holders in non-STEM
    faculty at these institutions?  This data will be addressed in future investigations   12.  Ding WW, Murray F, Stuart TE. Gender differ-  careers. Washington (DC): American Institutes
 d.  Do institutional structures for technology   as a follow-up to this research.
                ences in patenting in the academic life sciences.   for Research; 2014. [accessed 2016 July 15].
                Science. 2006;313:665–667.                 http://www.air.org/sites/default/files/down-
             13.  Whittington KB. Science and engineering   loads/report/STEM%20nonacademic%20
                careers in the United States: an analysis of mar-  careers%20April14.pdf.
 REFERENCES  Disentangling effort and performance: a renewed   kets and employment. Chicago (IL): University  23.  Jensen J, Thursby GT, Thursby MC. The disclo-
 look at gender differences in commercializ-  of Chicago Press; 2009. Chapter 6, Patterns of   sure and licensing of university inventions: ‘the
 1.  Thursby JG, Thursby MC. Gender patterns   ing medical school research. J Technol Trans.   Male and Female Scientific Dissemination in   best we can do with the s**t we get to work with’.
 of research and licensing activity of science   2012;37(4):478-489.  Public and Private Science; p. 195-228.  Int J Ind Organ. 2003;21(8):1271-1300.
 and engineering  faculty. J Technol Trans.   4.  Sugimoto CR, Ni C, West JV, Larivière V. The   14.  Carrasco I. Gender gap in innovation: an  24.  Sohar K. Female inventors: tracking participation
 2005;30(4):343-353.  academic advantage: gender disparities in pat-  institutionalist explanation. Manag Decis.   in the commercialization process. Washington
 2.  Haeussler C, Colyvas JA. Breaking the ivory   enting. PLoS ONE. 2015;10(5):[accessed 2016   2014;52(2):410-424.  (DC): Association of University Technology
 tower: academic entrepreneurship in the life   Sept 13]; http://journals.plos.org/plosone/   15.  Macdonald AL. Feminine ingenuity: women   Managers; 2015. [accessed 2016 Sept 1]. http://
 sciences in UK and Germany. Res Policy.   article?id=10.1371/journal.pone.0128000.  and invention in America. New York (NY):   www.autm.net/AUTMMain/media/About/
 2011;40(1):41-45.  5.  Larivière V, Ni C, Gingras Y, Cronin B,   Ballantine Books; 1992.  Documents/WIC_Metrics_Data_Tracking.pdf.
 3.  Colyvas JA, Snellman K, Bercovitz J, Feldman M.   Sugimoto CR. Bibliometrics: global gender
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