Read the following papers and answer the questions

# Read the following three papers and answer the questions that follow: # https://techcrunch.com/2016/06/07/software-is-eating-the-world-5-years-later/ # https://www.wired.com/2000/12/lanier-2/ # https://projecteuclid.org/download/pdf_1/euclid.aoms/1177704711 (only read page 1-13) #For each article: # 3.1 What is the main point (or points) the author is trying to make? # and now synthesizing these points: # 3.2 What criteria does Tukey give for Data Analysis (or Data Science) to be considered a science? # 3.3 How do the discussions of software by both Patel and Lanier support Tukey's criteria for Data Analysis? # 3.4 What potential issues do Patel and Lanier raise for software used in Data Analysis (Data Science)? # 3.5 What are your thoughts regarding how software and data can be, and are being, leveraged for scientific # discovery, based on what you have learned from these three articles? What possible pitfalls do we need # to be careful about?