Technology Career Exploration with CCI's Jeff Sawyer
| by Jeff Sawyer
Jeff Sawyer from The Center for Careers and Internships (CCI) shares information about career opportunities in the technology and data, and how to work with CCI to explore.
| by Jeff Sawyer
Jeff Sawyer from The Center for Careers and Internships (CCI) shares information about career opportunities in the technology and data, and how to work with CCI to explore.
Lightning Talk by Dr. Elsa Mendoza’s on Using Digital Humanities to Recover Lost Histories of Slavery.
Midd.data chats with former Google CEO Eric Schmidt about the epochal changes wrought by the rise of AI and the ways in which liberal arts institutions can and should adapt to prepare students for this new age.
| by Mike Roy
Professor Biswas’ talk “Optimizing spirits distribution in Bangkok with data-driven marketing analytics” is now online.
Lighting Talk by Alex Newhouse, Middlebury Institute Center on Terrorism, Extremism, and Counterterrorism, on Open-Source Intelligence and Operational Security for Researching the Far Right.
| by Mike Roy
Dr. Hang Du of Middlebury’s Chinese Department has for over a decade been building and analyzing a database of spoken Chinese to understand how student’s studying abroad learn Chinese. We checked in with her to see how she is doing this work, what she has learned, and what advice she has for others embarking on this type of study.
| by Mike Roy
Do you have an idea for a data-driven humanities project, but you are not sure where to start? Do you have a humanities-centered research question that can only be answered with data analysis? Consider participating in the Humanities Data Workshop Series, brought to you by midd.data and the Axinn Center for the Humanities with support from Middlebury’s data librarians Wendy Shook and Ryan Clement. In this beginners workshop you will learn how to collect, organize, structure, clean, and visualize your data. Depending on the needs of the participants, other topics may also be introduced.
| by Caitlin Myers
This winter term five faculty colleagues from Math, Art History, Biology, Economics, and Japanese designed and piloted a new course blending a traditional introduction to data science with immersive project-based applications across four disciplines. Students with no prior data science experience spent their mornings learning how to use the statistical software package R to wrangle and extract meaning from data, and their afternoons critically applying these skills to research projects on topics ranging from seventeenth-century Dutch art to tick-borne disease to Japanese pop culture to abortion policy.
ITS is excited to announce, thanks to generous contributions from our infrastructure technology partners, in the coming months we will be updating and expanding the high-speed networking and storage capabilities of the Ada high-performance computing (HPC) platform.
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