Each day in my role here at CMU Libraries, I’m steeped in everything data. I really enjoy getting to teach other people data skills while also honing my own skills in the process! However, it hasn’t always been easy. In fact, for a long time, I’ve always found it quite intimidating to learn new data and technology skills. Part of that intimidation was never feeling like I fit in with data science and technologist communities.
Our fall 2020 semester has officially started, and wherever you are joining us from, we are glad you are here! I am really happy to share that we have a full lineup of virtual workshops for the upcoming semester, many of which have a distinct Tartan Datascapes flavor! What's the benefit of attending a Libraries workshop? It's a great chance to learn some new skills in a short amount of time, and can be an excellent supplement to your teaching/learning/research/professional development.
Think back to your high school biology class: did you enjoy it? Were there things about it that stressed you out? Speaking for myself, as a high school student in Wyoming, we had a field-based biology class where we would collect samples from various ecosystems around our town and bring them back to our lab to process and write reports on our findings. I absolutely loved every bit of that experience, but I found that I struggled with the quantitative side of the class.
Here at Tartan Datascapes, we love all research but we definitely have a soft spot for humanities research and exploring the many ways that data intersects with topics in the humanities!
Have you ever watched a movie and thought of it as data? Hopefully, if you are a long-term reader of this blog, you have learned that almost anything can be data, depending on how you conceptualize it and interact with it. For those who have been following Tartan Datascapes this summer, you’ve likely noticed that I’ve delved deeply into how data presents itself in popular culture, and as a result, how popular culture can allow us to learn more about data.
“I propose to consider the question, Can machines think?” This sentence opens Alan Turing’s paper, ‘"Computing Machinery and Intelligence," a landmark text in the history of computing that approaches the status of a manifesto for artificial intelligence.
Who else here gets inordinately excited over notebooks? Any time I walk into a bookstore or stationary store, I immediately head to the notebooks. While I’m not sure I’ve ever actually filled up an entire notebook, a quick walk around my house will reveal dozens of notebooks with drawings, poems, meeting notes, photographs glued to the pages, recipe clippings, and a variety of other things. Paper notebooks are wonderful! But, the focus of today’s Tartan Datascapes post is on a situation where paper notebooks may not be the best thing for you: in your research environments.
Mary Shaw, A.J. Perlis Professor of Computer Science in the School of Computer Science recently gave her papers to the University Archives, where they will eventually be made available for research into her long and important career in computer science.
Hello Datascapers! In today’s Tartan Datascapes, I have the privilege of collaborating with Angelina (hereafter Lina) Spotts, our Metadata Specialist at CMU Libraries, to provide what I believe is the most creative, unique installment of the blog since its inception in September 2019! Now, Lina and I have quite a bit in common. We both enjoy talking about data management. We both like using examples from popular culture to teach technical concepts.
Special Collections at Carnegie Mellon University Libraries continues to grow distinctive and unique holdings relating to the history of science and technology with the recent addition of two AT&T Mod II Picturephones.