• DocumentCode
    3563101
  • Title

    Institutional transformation at a large private technical university: Reporting on the accomplishments of a combined data driven top-down and bottom-up approach

  • Author

    Mason, Sharon ; Marchetti, Carol ; Crawford, Kijana ; Foster, Susan ; Dell, Betsy ; Bailey, Margaret ; Baum, Stefi ; Clayton, Laurie ; Valentine, Maureen

  • Author_Institution
    Rochester Inst. of Technol., Rochester, NY, USA
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The underrepresentation of women faculty in science, technology, engineering and mathematics (STEM) has been studied for several decades. Many programs have been developed with a bottom-up approach toward addressing this underrepresentation. While these bottom-up approaches are an important component in addressing the underrepresentation, the question arises as to their sufficiency for transforming an institution to address the issue. Another method considers the combined use of a bottom-up and a top-down approach in looking toward the goal of institutional transformation by removing barriers to resources that support career success and creating new interventions and resources. This paper reports on the progress of programming and activities that are underway during the first two years of an institutional transformation project (NSF ADVANCE 1209115) at a large-private technical university that incorporates this combined approach. The transformation is outlined using a multi-frame organizational analysis approach from Bolman and Deal, which integrates several aspects of organizational theory, including structural, human resources, political and symbolic perspectives. Data used to inform the top-down and bottom-up programming and activities is presented, as well as a discussion of milestones, accomplishments and lessons learned in the context of the overarching project goals and the framework posed by Bolman and Deal´s lenses.
  • Keywords
    STEM; educational institutions; STEM; data driven bottom-up programming; data driven top-down programming; institutional transformation project; large private technical university; multiframe organizational analysis; organizational theory; symbolic perspectives; women faculty; Awards activities; Educational institutions; Employee welfare; Engineering profession; Image color analysis; Remuneration; Scattering; ADVANCE; STEM; deaf; faculty; faculty of color; gender; hard of hearing; women;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference (FIE), 2014 IEEE
  • Type

    conf

  • DOI
    10.1109/FIE.2014.7044116
  • Filename
    7044116