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Jean Gallagher

Jean Gallagher

· Technology, Culture and Society Department Co-Chair; Professor

New York University · Technology, Culture and Society

Active 1947–2024

h-index26
Citations3.5k
Papers36661 last 5y
Funding$326k
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About

Jean Gallagher is an award-winning author of three collections of poems and has published work in a range of literary magazines, including FIELD and The New Yorker. She teaches poetry workshops at the NYU Tandon School of Engineering as well as in the Creative Writing program in the NYU College of Arts and Sciences. Her educational background includes a Bachelor of Arts in English from Queens College, City University of New York, and a Doctor of Philosophy in English from the City University of New York Graduate Center. Gallagher's literary contributions include books such as 'Start' published by Oberlin College Press, which won the FIELD Poetry Prize, 'This Minute' published by Fordham University Press, which won the Poets Out Loud Prize, and 'The World Wars Through the Female Gaze' from Southern Illinois University Press. She is also a co-chair of the Technology, Culture and Society Department at NYU Tandon.

Research topics

  • Computer Science
  • Data Mining
  • Information Retrieval
  • Artificial Intelligence
  • Political Science
  • Database
  • Engineering
  • Distributed computing
  • Data science
  • Remote sensing
  • Knowledge management
  • Marketing
  • Public relations
  • Business
  • Psychology
  • Operations research
  • Geography

Selected publications

  • With Crisis Comes Opportunity: Redesigning Performance Departments of Elite Sports Clubs for Life After a Global Pandemic

    Frontiers in Psychology · 2021 · 9 citations

    • Political Science
    • Computer Science
    • Public relations

    The suspension of major sporting competitions due to the global COVID-19 pandemic had a substantial negative impact on the sporting industry. As such, a successful and sustainable return to sport will require extensive modifications to the current operations of sporting organizations. In this article we argue that methods from the realm of sociotechnical systems (STS) theory are highly suited for this purpose. The aim of the study was to use such methods to develop a model of an Australian Football League (AFL) club's football department. The intention was to identify potential modifications to the club's operations to support a return to competition following the COVID-19 crisis. Subject Matter Experts from an AFL club participated in three online workshops to develop Work Domain Analysis and Social Organization and Cooperation Analysis models. The results demonstrated the inherent complexity of an AFL football department via numerous interacting values, functions and processes influencing the goals of the system. Conflicts within the system were captured via the modeling and included pursing goals that may not fully reflect the state of the system, a lack of formal assessment of core values, overlapping functions and objects, and an overemphasis on specialized roles. The current analysis has highlighted potential areas for modification in the football department, and sports performance departments in general.

  • STARE into the future of GeoData integrative analysis

    Earth Science Informatics · 2021 · 2 citations

    • Computer Science
    • Computer Science
    • Data Mining
  • Stare Towards Integrative Analysis with Minimized Data Wrangling Hassle

    IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2020 · 3 citations

    Senior authorCorresponding
    • Computer Science
    • Computer Science
    • Data Mining

    Analysis incorporating geoscience data from different data sources entails dealing with their immense variety and volume. Until now, combining, for example, two or more different swath datasets from spaceborne observations has been a tedious, laborious process, limiting the scalability of potentially impactful integrative analyses. With the technologies developed in the NASA-funded SpatioTemporal Adaptive Resolution Encoding (STARE) project, we have made strides towards enabling scalable integrative analysis of diverse, voluminous geoscience data. Using STARE as a consistent geo-spatiotemporal indexing scheme to unify different data sources according to spatiotemporal colocation, spatiotemporal data co-alignment can thus be maintained on distrib-uted/parallel/Cloud resources to minimize costly and often unnecessary data transfer and communication, and to drastically improve scalability.

Recent grants

Frequent coauthors

  • S. González

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives

    133 shared
  • F. Déliot

    CEA Paris-Saclay

    133 shared
  • H. Bachacou

    Institut de Recherche sur les Lois Fondamentales de l'Univers

    133 shared
  • A. Formica

    CEA Paris-Saclay

    133 shared
  • É. Chapon

    CEA Paris-Saclay

    133 shared
  • L. Schoeffel

    CEA Paris-Saclay

    133 shared
  • M. Saimpert

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives

    133 shared
  • L. Chevalier

    CEA Paris-Saclay

    130 shared

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