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Situational & Cybersecurity Awareness for Global Public Health Researchers Webcast

  • October 29, 2020
  • 4:00 PM - 5:00 PM
  • Online

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Technology has been instrumental in providing innovative approaches and solutions to aid global public health researchers. These solutions have helped streamline data capture methods, automate processes, and provide mechanisms to solve public health challenges globally. In some cases, these solutions and products can empower individuals to manage and supplement their own health care. With the introduction of technology tools, there is a need to ensure that public health researchers are aware of the cybersecurity risks they may be introducing. This webcast will provide a background into the topic of digital health, mHealth, and eHealth approaches and provide an approachable, simple toolbox that can be utilized to ensure that situational cybersecurity awareness is tackled as a matter of practice.

Webcast Learning Outcomes:

  1. Awareness of the types of public health research taking place utilizing technology.
  2. Introduction to Digital Health/mHealth/eHealth with examples.
  3. Initial concept and background on bringing forward greater cybersecurity awareness to the public health research sector. Reference publication: On the Potential, Feasibility, and Effectiveness of Chat Bots in Public Health Research Going Forward - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788896
  4. Overview of a proposed cybersecurity assessment toolbox that public health researchers can begin to utilize in order to bring about greater cybersecurity hygiene and awareness to their research efforts. Reference publication: Proposal for the Development and Addition of a Cybersecurity Assessment Section into Global Public Health Involving Technology, Accepted for publication at the International Journal of Cybersecurity Intelligence & Cybercrime – Manuscript 106
Presenter: Stan Mierzwa, M.S., CISSP, Director and Lecturer, Center for Cybersecurity, Kean University

    This material is based on work supported by the National Science Foundation (NSF) under Grant Number DUE-1204533DUE-1601150, and DUE-2054753Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect those of NSF.

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