UW Data Science Center
The goal of the UW Data Science Center is to lower the barrier to entry into productive analysis of data.
Additionally, we seek to foster the careers of our participants and to build the data science capacity in Wyoming, to the benefit of its residents (including businesses and governments).
Many of the activities of the Data Science Center take place in Aven Nelson room 210, where the center is housed.
This webspace is public by default (read-only). You can request write access with an email to Alex Buerkle
Working groups
General data science working group – we will be meeting again in fall 2021, starting on Sep 1, 2021 (11-noon, MT).
https://microcollaborative.atlassian.net/wiki/spaces/DSC/pages/1765277708 – meeting fall 2021
https://microcollaborative.atlassian.net/wiki/spaces/DSC/pages/1762983980 – meeting fall 2021
TechTalkLaramie – Laramie’s evening TechTalks are an informal networking and social get-together with a focus on technology. Meets occur twice per month, and are generally on the first and third Thursdays of each month. Check out our calendar for upcoming meeting times and locations! The first Thursday of the month (usually) is an informal gathering for sharing ideas, solutions, experiences, and – optionally – a drink.
Short courses and workshops
On-demand workshop on Population Modeling in Ecology developed by Gabe Barrile as part of EPSCoR-WEST data-science internship. Pre-recorded videos with example datasets and code.
Also see previous courses and workshops for an idea of what types of things we’ve offered.
Mailing lists
For communication beyond these confluence pages, we have two internal mailing lists. UW users are welcome to subscribe themselves at the following links:
data-science-center – this is our main list for communication about things of interest to the data science center
data-science-center-announce – this is a moderated list with low-frequency mailings that announce major events and activities.
Consultation – Data science office hours during the academic year
Person and affiliation | Place | Time | Expertise |
Shannon Albeke, UW (mail) | Agriculture 316/323 | by appointment | General computing with R, statistics and spatial analyses (R, ArcGIS and other open source software) |
online in fall '21 | by appointment | computing (R, C, Perl, UNIX, HPC, etc.), statistics, and genomics | |
Aven Nelson 202 | by appointment | R, basic Linux, JAGS, slurm, shell scripting, enough python and perl to be dangerous, amplicon seq. processing, general stats | |
| by appointment | General computing with R, tidyverse + ggplot2, Stan-based Bayesian analysis, physically based modeling and inversion (isotopes, hydrology, geophysics), singularity containers, student ambassador for UWyo’s high performance computing system | |
Gordon Custer, UW (mail) | by appointment | Amplicon sequence processing, general computing in R, general stats with a microbial ecology focus, basic shell scripts | |
Jared Studyvin, UW Stats Dept. (mail) | RH 333 | M-R 12-1pm | Statistical consulting, R: statistical analyses, data wrangling, data visualization, JAGS |
Mikey Tabak, WEST, Inc. (mail) | E-meeting | by appointment | Deep learning (computer vision and Artificial Neural Nets); Bayesian modeling; Ecological and epidemiological modeling and simulations; Python, R, Stan |
Dylan Perkins, ARCC (mail) | Tuesdays & Thursdays 1-3PM or by appointment | Anything ARCC related. Drop-in during these hours for help using Teton, the petaLibrary or any other service ARCC provides. |
Internship program
WEST (an environmental and statistical consulting company founded in Wyoming) hosts paid data-science internships in partnership with Wyoming EPSCoR. These are suitable for undergraduate or graduate students or recent alum. See https://microcollaborative.atlassian.net/l/c/EGHpQZkc for more information.
Competitions
We have considered hosting a local data science competition at UW. We would use this an opportunity to learn from one another, with in person meetings and discussions of the projects and entries, including by judges and attendees who are data science professionals. Additionally, some students are interested in Kaggle and other competitions. More information is on the Data Science competitions page.
Other data science topics
Materials from Fall 2017 R club meetings
Online courses related to data science
Knowledge base
Confluence
How do we share code and Rmarkdown output?: consider shared projects on Rstudio.cloud
Cluster and other research computing
How to get access to cluster computing resources at UW
How to ssh to the cluster computer (Teton, teton.uwyo.edu)
How to submit jobs to the shared queue for the cluster computing with SLURM
Statistical modeling
Example codes for JAGS models and their use from R, with rjags