“Success is liking yourself, liking what you do, and liking how you do it.” Maya Angelou

Big Data Project Sources

Although I initially mentioned how I wanted to explore Big Data and how it has helped advance medicine, I keep coming back to the CQ Researcher source, especially when it focuses on how customers do not have a right to consent anymore.  I think if I chose to, I could focus on how different companies find ways around not receiving consent and how it is invading our privacy, one that we most definitely have a right to maintain. Although, I also really enjoyed the TED Talk by Kenneth Cukier, particularly when he talked about the advantages Big Data has; for example, it can help prevent car accidents from occurring in the future and has already been used to implement anti-theft devices in cars. If I choose to stick with the medical aspect, I could also use the article by Adam Frank where he talks about the Network Theory and how it has allowed the CDC to predict lots of information about diseases and prevent any major outbreaks from occurring, thus benefitting us. With the medical aspect, I feel like I would be arguing how Big Data affects our privacy but does not do so in a harmful way as our data is used for the common good of everyone. Therefore, it would be much more PRO Big Data opposed to the other views from the previously named articles. I have also found a couple of sources through the UNE Database that I think will be good to use if I decide to go with the medical aspect. One of the articles I found is titled “Epidemiology in the Era of Big Data” and it’s a source that is very pertinent to what I want to argue for and after reading the abstract, I knew I wanted to read the full article to see how they provided justification for their stance. I feel like overall I have good sources for different views so it all comes down to which route I want to take.

1 Comment

  1. Afnan

    Mooney, Stephen J, et al. “Commentary: Epidemiology in the Era of Big Data” Epidemiology (Cambridge, Mass.) vol. 26,3 (2015): 390-4. Medline. Accessed 7 Nov. 2018.

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