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
Data science working group – we met again in spring 2021, remotely, and will be meeting again in fall 2021.
Linear algebra help group (spring 2020)
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
Introduction to Deep Learning in Python for Ecologists, 17-19 May 2021, Virtual over Zoom
Introduction to Machine Learning in Python for Ecologists (v2), 31 March - 2 April 2021, Virtual over Zoom
An Applied Introduction to Bayesian Statistics, 22-25 February 2021, Virtual over Zoom
Introduction to Machine Learning in Python for Ecologists (v1), 11-15 January 2021, Virtual over Zoom
Spatial Data Science Using R, 26-28 August 2019, University of Wyoming
Introduction to data science and machine learning, 24-26 September 2019, University of Wyoming
Using Conda to Manage Research Software, 26 February 2020, University of Wyoming
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
Shannon Albeke, UW (mail)
General computing with R, statistics and spatial analyses (R, ArcGIS and other open source software)
Aven Nelson 202, online in spring '21
computing (R, C, Perl, UNIX, HPC, etc.), statistics, and genomics
Aven Nelson 202
R, basic Linux, JAGS, slurm, shell scripting, enough python and perl to be dangerous, amplicon seq. processing, general stats
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)
Amplicon sequence processing, general computing in R, general stats with a microbial ecology focus, basic shell scripts
Jared Studyvin, WEST, Inc. (mail)
R: statistical analyses, data wrangling, data visualization, JAGS
Mikey Tabak, WEST, Inc. (mail)
Deep learning (computer vision and Artificial Neural Nets); Bayesian modeling; Ecological and epidemiological modeling and simulations; Python, R, Stan
Jason Carlisle, WEST, Inc. (mail)
Wildlife statistics (abundance, distribution, survival, movement), spatial analysis, sampling and study design, R package development, data-science internships and training
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.
WEST (an environmental and statistical consulting company founded in Wyoming) hosts paid data-science internships in partnership with Wyoming EPSCoR. These are suitable for graduate or undergraduate students. Applications are due Dec 27, 2020 for an internship during spring or summer 2021. See the job ad on WEST’s website, or contact @Jason Carlisle with questions. There will be equivalent internships through 2022. See https://microcollaborative.atlassian.net/wiki/spaces/DSC/blog/2020/12/01/990183548/2021+WEST+data+science+internships for more info, including an opportunity to hear from the recent cohort of interns.
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
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
Example codes for JAGS models and their use from R, with rjags