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    Using Web Crawlers/Scrapers and Big Data Analytics to Identify Funding for School Safety Programs against Mass Shootings

    Cover for Using Web Crawlers/Scrapers and Big Data Analytics to Identify Funding for School Safety Programs against Mass Shootings
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    View/Open: Carroll_Kanaris_Using Web Crawlers Scrapers Big Data Analytics.pdf (1.3MB) Bookview

    Creator
    Carroll, Sandi
    Kanaris, Paul
    Advisor
    Trujillo, Maria
    Oresegun, Bayo
    Abstract
    Technology has changed significantly over the last decade. The pervasiveness of the Internet impacts behaviors from how one performs research, to telehealth, to communications through social media. One responsibility of Technology Managers is to leverage technology in a manner to apply a remedy to a problem or system. Our research project was to solve the problem of using technology to automate the process of identifying funding for school safety programs addressing mass shootings. The team realized the problem was complex in its construct. There were issues consistent with (1) identifying the sources of funding, (2) understanding the processes required to access those funds, (3) extracting and aggregating large volumes of data, (4) interpreting and analyzing the data, and (5) identifying the decision makers in the process. This proposal attempts to solve the problem and offer a solution utilizing Big Data Infrastructures/Analytics and Business Intelligence to identify and report the most optimal funding opportunities.
    Permanent Link
    http://hdl.handle.net/10822/1053224
    Date Published
    2018
    Subject
    School safety; mass shootings; Big Data Analytics; Business Intelligence;
    Type
    Capstone; Video;
    Publisher
    Georgetown University
    Collections
    • Graduate Capstone Projects
    Metadata
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    Georgetown University Seal
    ©2009 - 2023 Georgetown University Library
    37th & O Streets NW
    Washington DC 20057-1174
    202.687.7385
    digitalscholarship@georgetown.edu
    Accessibility