Orchard View Room, Discovery Building

This workshop is aimed at teaching individuals who know a little unix shell, git, and python and are ready to learn about the next steps in software development for researchers. This workshop builds upon the introductory Software Carpentry with python workshop. After this workshop, participants will be able to: - Explain key principles of open and reproducible research and their implications for research software development. - Analyze software for maintainability, reproducibility and reuse, ide CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2026-07-20-uwmadison-bbrs-py/

This workshop is aimed at teaching individuals who know a little unix shell, git, and python and are ready to learn about the next steps in software development for researchers. This workshop builds upon the introductory Software Carpentry with python workshop. After this workshop, participants will be able to: - Explain key principles of open and reproducible research and their implications for research software development. - Analyze software for maintainability, reproducibility and reuse, ide CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2026-07-20-uwmadison-bbrs-py/

This workshop is aimed at teaching individuals who know a little unix shell, git, and python and are ready to learn about the next steps in software development for researchers. This workshop builds upon the introductory Software Carpentry with python workshop. After this workshop, participants will be able to: - Explain key principles of open and reproducible research and their implications for research software development. - Analyze software for maintainability, reproducibility and reuse, ide CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2026-07-20-uwmadison-bbrs-py/

This workshop is aimed at teaching individuals who know a little unix shell, git, and python and are ready to learn about the next steps in software development for researchers. This workshop builds upon the introductory Software Carpentry with python workshop. After this workshop, participants will be able to: - Explain key principles of open and reproducible research and their implications for research software development. - Analyze software for maintainability, reproducibility and reuse, ide CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2026-07-20-uwmadison-bbrs-py/

Learn Skills for Research Software Engineering. Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2026-06-15-uwmadison-reuswc/

Learn Skills for Research Software Engineering. Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2026-06-15-uwmadison-reuswc/

Fundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2026-06-01-uwmadison-dc-geospatial/

Fundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2026-06-01-uwmadison-reudc/

Fundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2026-06-01-uwmadison-dc-geospatial/

Fundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2026-06-01-uwmadison-reudc/

Intro to Image Processing in Python. This hands-on Data Carpentry workshop introduces foundational image processing skills using Python, designed for researchers who want to work more effectively with image-based data. CONTACT: 815-383-3279, sarah.stevens@wisc.edu URL: https://uw-madison-datascience.github.io/2026-05-18-uwmadison-dc/

Intro to Image Processing in Python. This hands-on Data Carpentry workshop introduces foundational image processing skills using Python, designed for researchers who want to work more effectively with image-based data. CONTACT: 815-383-3279, sarah.stevens@wisc.edu URL: https://uw-madison-datascience.github.io/2026-05-18-uwmadison-dc/

Intro to Image Processing in Python. This hands-on Data Carpentry workshop introduces foundational image processing skills using Python, designed for researchers who want to work more effectively with image-based data. CONTACT: 815-383-3279, sarah.stevens@wisc.edu URL: https://uw-madison-datascience.github.io/2026-05-18-uwmadison-dc/

Intro to Image Processing in Python. This hands-on Data Carpentry workshop introduces foundational image processing skills using Python, designed for researchers who want to work more effectively with image-based data. CONTACT: 815-383-3279, sarah.stevens@wisc.edu URL: https://uw-madison-datascience.github.io/2026-05-18-uwmadison-dc/

CONTACT: 815-383-3279, sarah.stevens@wisc.edu URL: https://docs.google.com/forms/d/e/1FAIpQLSdJ5HjYMtIhP5gsz7PMSOlKq4bKglRkBJ3SGJSedMonAGvskg/viewform