5/29/18: I attended the inaugural orientation meeting. Dr. Brylow clarified expectations for this summer. I then met Dr. Guha, Chris Supinger, and the rest of our research team. Dr. Guha elaborated upon our goals. I briefly reviewed some clustering algorithms, specifically the K - means and hierarchal methods. I watched some videos covering the basics of Python.
5/30/18: My REU coeds, Katy Weathington, Laura Schultz, and Dominique met with Chris Supinger, Dr. Guha's graduate assistant. Chris showed us the raw data we are to clean. He then explained to us that we must implement Python's regular expressions and dictionaries in an effort to make addresses API friendly. He also roughly defined to us the legal terminology [i.e. guilty, not guilty, dismissed with prejudice, dismissed without prejudice, & suspended] accompanying cases in our data. Later in the evening we received the data as well as some fundamental criminology readings via Dropbox. I skimmed over an article intended to explain "hotspots", a crime mapping staple.
5/31/18:I thoroughly read the introductory part of the "understanding hotspots" article and examined an intuitive table included in the article. Later, I began a running list of words that may be helpful in my researching efforts. Upon Dr. Guha's bidding, I downloaded several software packages and read some tutorials covering their applications. I then continued Python familiarization, particularly, with regular expressions.
6/3/18:I continued reading over articles shared by our team in Dropbox.
6/4/18: The meeting in Cudahy Hall today effectively gave me a better view of the big picture for this project. Inasmuch, I am also more aware of our immediate direction. I continued foundational reading pertaining to the pros and cons of a broad range of clustering algorithms. The interdisciplinary readings [criminological, computational, sociological] are culminating upon a tidy intersection. I am glad to have discovered common threads today as literature review will be significantly expedited going forward.
6/5/18:My coeds and I met with Dr. Guha. He elaborated upon the philosophical premises of our research. He gave a brief exposition on the history of Milwaukee in terms of her economy, demographics, and public policy. A point he highlighted several times was that contrary to inexpert sentiments, algorithms lose objectivity upon user interaction. This was a segue into a small project we are to complete this week. We are going to classify algorithms by the extent to which the user encounters points of election.