 Big data has transformed our entire society. We are creating new data about ourselves. So every click that we click on the internet, every transaction that we create, everything that you are doing in time now is quantified in some way as data. We are also creating so much more of it than we have ever created in history. Problem statement, how can the existing Purdue Transit system better suit the needs of the student population, you know, thinking about these types of goals, optimizing time travel, increased mobility coverage, right? We've been looking at, hey, there's some stops that don't seem to be used very much and there's some other areas that don't really have good coverage. We need to be able to call those out and highlight those right on maps that we've been looking at. I never knew what kind of impact data could have on the world. Really, we're doing all this like a data analysis on bus routes. That impacts 40,000 students on campus, so it's really cool that we're working with that kind of data. Commons is giving us real data, they're giving us a real project that hopefully will impact the future of Purdue and that's what I've been kind of wanting to do is make an impact either at Purdue or at a company. But the question is then, what's the effectiveness of the stops in that bottom left where it's low coverage and it's low usage. So it's not covering a lot of area, but it's not seeing a high usage right there either, meaning that is that stop necessary? I'm Mark Daniel Ward, I'm a professor of statistics and I'm directing this new data mine initiative on campus. It's a way for students to learn about the data sciences while they're learning about their discipline. It's also a residential initiative where the students are all living together in Hill and Brand Hall, taking their seminars in the dormitory in the residence hall where they live. You see students interacting, their laptops open, connected to servers working on data analysis, working in teams, you know, communicating and talking with each other about what they're working on. So the questions we were trying to ask is there a part of campus with more need for a transit stop than another and are there any areas of campus that are not seeing any transit need? I would love for you to not only think about the analysis and how the analysis went from start to end, but also what questions could someone walk away understanding after they talked with you for five minutes. You know, you can almost tell a story in a sense. Throughout all this, I'm really just trying to develop these data scientist skills and really I just want to build that intuition, you know, looking at data, seeing what's wrong, what can I do with this. The integrative data science initiative has been developed in the past year at Purdue University and when the students leave, they are these critical consumers and critical researchers of data within the relevant discipline that they're interested in. I have freshmen in the group, there's juniors in the group, there's data science majors, there's non-data science majors, I've got two engineers in the group that normally I wouldn't be able to work with, but because of the data mine and corporate partners I get an opportunity to work with and kind of just work on my communication point and thinking critically about what that means for yourself for your long-term outcomes is really what critical data literacy is and thinking about what data science means for yourself. Data can't just be by itself, it has to show some kind of human connection. If we just spout up some statistics not everyone's going to understand what does that mean but really we're just trying to tell a story about humans and how they interact pretty much in data science. Those skills are fundamental in order to succeed in society today so we would like to see those skills for everybody at the university and then we will also get you the level of skills that you need in order to succeed at your career and your professional goals with data science as well.