Date of data diary collection: Data Diary Project STAT 113: Statistics and Society 30 points total Big data is a hot topic in society today. It is neither good nor bad, ethical nor unethical, but it is important. You are providing it, benefiting from it, and potentially being harmed by its misuse. You need to be aware of the data you provide and learn more about what is done with your data. Instructions: 1. (6 points) You will keep a data diary for 24 hours. You will write down everything you do that could potentially provide somebody with electronic personal data about you without you necessarily choosing to give them your information. We are not interested in how long you brush your teeth, for example, unless you are transmitting this data to an outside source. (There are toothbrushes that send data to your phone!) Some good examples include using Google to do a search online, using Blackboard, shopping with a credit card or your student ID, using a GPS, using an app on your phone, watching a movie on Netflix, texting, etc. Some examples are shown below, but delete these when you start filling out your table. Feel free to add lines to the table as needed. Please pick a typical day for you, not one where you are camping in the wilderness without any devices. Time 4-4:45 Activity Watched “Mad Men” on Netflix. 8-8:15, 9:309:40, 10:5010:55, 1-1:20, 4-4:15, 7:307:45 Texting with friends Type of data collected from you Viewing interests, time watched, possibly geographical location watched, connected to my account information like name and e-mail address and credit card number Who my friends are, locations, plans, interests 1 2. (2 points) What is the most concerning data that is being collected from you? Why does it concern you? 3. (4 points) Go to the website of two unrelated companies that collect data from you. State which companies you chose. Find the privacy policies. (If you can’t find it, then find contact information to e-mail to ask for the privacy policy. This should be readily available.) Compare and contrast the two privacy policies. Read the whole privacy policies. Do they specifically list which pieces of information the companies collect from you? If so, what are they? If not, what wording do they use to describe the collection of your data? Cite the websites you used to get this information, too. 4. (5 points) Do a little searching online to find out how big data is improving something that interests you. Examples include sports, farming, shopping, movies, health, etc. Explain how big data is improving this activity. (Don’t use any examples from the lecture.) Cite the website you used to get this information, too. 5. (5 points) The United States and many other countries around the world do not have big data privacy rules. The European Union has developed a General Data Protection Regulation (https://www.eugdpr.org/the-regulation.html). Discuss the specific components of the GDPR 2 and whether you think they are a good idea and why you think that the US should or should not have these rules, too. Are there other rules that you think should be included? 6. (8 points) There have been some major big data controversial stories in the news recently. These include, but are not limited to Cambridge Analytica/Facebook, law enforcement using a public genealogy DNA website to track down the Golden State Killer, the Equifax data breach, biometric data security, or the government proposing one common database for all citizens receiving any services (the equivalent of a “National Data Center of the Poor”). Summarize any one of these stories (or some new big data related controversy that develops) in a paragraph and then explain in a second paragraph how you feel such situations should be handled or improved. 3
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