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Seminars, Computational Lunch, and DiSH

The data science program regularly participates in Computational Science Seminars & Lunchtime Computing hosted by the The Center for Scientific Computing and Data Science Research (CSCDR), and the Computer and Information Science (CIS) seminars series through CIS 599.

CIS seminars are typically held on Fridays at 3:00 PM and are announced through UMassD Announce Digest. 

CSCDR events are announced through UMassD Announce Digest and data science student/faculty email lists. A complete schedule of past and futures talks can be found on the CSCDR seminar page.

We also collaborate with the library through their Digital Scholarship Hub (DiSH) program.  DiSH holds regular hands-on training sessions covering a range of data science topics. DiSH events are announced on the library's Instagram and Facebook sites.

Data Science Research

Data science faculty and students are engaged in a wide range of research topics. Many of our faculty and students' computational work is carried out with the support of The Center for Scientific Computing and Data Science Research. Due to the interdisciplinary nature of our program, ongoing research activities are more fully described through the following links:

Tukey Rapid Production Server

The Tukey server, named in honor of New Bedford's own John Tukey, is a high-end computational resource for data science faculty and students to carry out computationally demanding AI and Big Data problems. Tukey was purchased by the data science program with additional support from the CSCDR, College of Engineering, College of Arts and Sciences, Department of Computer & Information Science, and Department of Mathematics.

  • Hardware specs: 64 AMD Epyc cores, 1 TB of DDR3 RAM, 20 TB of storage, and two NVIDIA A100 GPUs with 80 GB of RAM
  • Software specs: Ubuntu 20.04, JupyterHub server
  • How do I use Tukey? Tukey runs a JupyterHub server. The machine can be accessed through a JupyterHub URL, and from here you can use Jupyter notebooks, gain terminal access, and run code as you normally would. If you are unfamiliar with JupyterHub, there are many excellent YouTube videos introducing the basics for getting started.
  • How do I access Tukey? Tukey is primarily meant for research computing, which can include student capstone, practicum, or thesis projects. Data Science faculty who would like access should contact the data science co-directors. Students who would like access should have a faculty sponsor -- this could be your capstone teacher, practicum/thesis advisor, or research supervisor. Faculty interested in using this machine in a course should first discuss their plans with the data science co-directors.