Paths to the Prevention and Detection of Human Trafficking

Paths to the Prevention and Detection of Human Trafficking

Release Date: June, 2022|Copyright: © 2022 |Pages: 422
DOI: 10.4018/978-1-6684-3926-5
ISBN13: 9781668439265|ISBN10: 1668439263|EISBN13: 9781668439289
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Description & Coverage
Description:

Much has already been published to better understand the problems associated with human trafficking such as why it occurs, where it occurs, and the horrendous tolls it takes on individuals and society. However, further study on the latest innovative ideas, research, and real-world efforts towards the detection and prevention of human trafficking analysis as well consideration of the success or failure of the current approaches is required in order to understand the necessary future improvements and how to best achieve them.

Paths to the Prevention and Detection of Human Trafficking presents innovative and potentially transformational concepts and research results that discuss current, or developing, approaches that address the identification, reporting, and prevention of human trafficking, including important identified enablers of trafficking. Covering a range of topics such as machine learning and child exploitation, this reference work is ideal for policymakers, government officials, hospital administrators, researchers, academicians, scholars, practitioners, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Child Exploitation
  • Civil Society Engagement
  • Hospitality Industry
  • Human Trafficking
  • Immigrant Victimization
  • Machine Learning
  • New Age Analytic Tools
  • Prevention Strategies
  • Psychology
  • Restoration of Survivors
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Editor/Author Biographies
Sharon Andrews is Professor of Software Engineering at the University of Houston-Clear Lake in Houston, Texas, United States of America. She holds a PhD in Computer Science from the University of Louisiana, Lafayette Louisiana. She has served as committee member, reviewer, and editorial board member for numerous international refereed journals and international and national professional conferences. She was the founding Editor-in-Chief of the International Journal of Esports Research. She is Chair of the Software Engineering MS program as well as the founding creator and Chair of the Software Engineering Online MS program. Dr. Andrews’s areas of research include software architecture design, software knowledge reuse, problem conceptualization, as well as learning engagement and curriculum design, human trafficking prevention, and Esports in academia. Dr. Andrews’s scholarly works include numerous publications within international, national, and regional refereed journals, edited referred research books and conference proceedings. These works include publications on frameworks for the automatic generation of architecture description languages, problems of architectural erosion and drift, methods for domain and knowledge engineering, methods for reusable software architecture, processes for innovation in engineering as well as publication surrounding education, online education, and learner engagement. She has been the recipient of funding in the area of domain specification and knowledge-reuse for research and graduate student projects with Honeywell, Boeing, IBM, Lockheed and others. She has been a grant reviewer for the National Science Foundation.
Caroline M. Crawford , Ed.D., is a Professor of Instructional Design and Technology at the University of Houston-Clear Lake in Houston, Texas, United States of America. She earned her doctoral degree from the University of Houston in Houston, Texas, United States of America, in 1998, with specialization areas in Instructional Technology and Curriculum Theory, and began her tenure at the University of Houston-Clear Lake (UHCL) the same year. At this point in Dr. Crawford's professional career, her main areas of interest focus upon communities of learning and the appropriate and successful integration of technologies into the learning environment; the learning environment may be envisioned as face-to-face, blended and online (virtual or text-driven) environments, as well as microlearning and micro-assist deliverables.
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