Using Web Crawlers/Scrapers and Big Data Analytics to Identify Funding for School Safety Programs against Mass Shootings
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/10822/1053224Date Published
2018Publisher
Georgetown University
Collections
Metadata
Show full item recordRelated items
Showing items related by title, author, creator and subject.
-
Using Large-scale Open Source Data to Identify Potential Forced Migration
Wei, Yifang; Yossinger, Nili Sarit; Cronbaugh, Christopher; Quinn, Dennis R.; Singh, Lisa; Martin, Susan Forbes; Berkowitz, Sidney; Collmann, Jeff; McGrath, Susan; Swingewood, Eleanor; Taylor, Abbie, 1988- (2014)This paper describes initial efforts to use open-source data to capture knowledge about forced migration in Iraq. Our goal is to understand the connection between open-source data and possible leading indicators of forced ...