Journal #13

Cyber policy and infrastructure are important in the face of a world that is so technology-driven. Throughout the cybersecurity-technol-society course and my other cybersecurity courses, policy and infrastructure are brought up a lot. It seems as if cybersecurity professionals cannot navigate the cyber world a lot of the time without policies and infrastructure. So, the development and improvement of infrastructure and policies is always a task that needs to be battled. According to a piece of writing titled, “Evaluating Predictive Knowledge,” predictive knowledge is when a sizeable number of predictions are made using online resources and their relationships with the environments. This creates some knowledge about possible future instances (Kearney et al., 2018). Well, one can only make a prediction about the further development of cyber-policy and infrastructure by looking at what is going on now. I know predictions do not always hold to be true and that is because things change and sometimes the unexpected can happen. This is that “short arm” of using predictive knowledge as a basis of development.

         I do not think that we should throw out the idea of using predictive knowledge all together when it comes to approaching development, but I think we can use it in unison with another strategy. I think we should approach development using interdisciplinary thinking as well. In my interdisciplinary studies class, we were taught how to research by looking amongst various disciplines and taking those findings to come up with one unified understanding of complex problems. The task of developing policies and infrastructure is complex and could benefit from outside sources. Cybersecurity contains so many aspects of different disciplines. In one of the lessons, I even learned that a call for a criminologist’s input on cybercrime is needed. Perhaps a look into other disciplines, as well as the tool of predictive knowledge, will help come up with developments of cyber-policy and infrastructure.

Kearney, A., Koop, A., Sherstan, C., Gunther, J., Sutton, R. S., Pilarski, P. M., & Taylor , M. E. (2018). Evaluating predictive Knowledge- University of Alberta. https://sites.ualberta.ca. Retrieved December 5, 2021, from https://sites.ualberta.ca/~pilarski/docs/papers/Kearney_2018_AAAIFS.pdf. 

Leave a Reply

Your email address will not be published. Required fields are marked *