Data Science Hub

https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/This lesson equips participants with trustworthy AI/ML practices, emphasizing fairness, explainability, reproducibility, accountability, and safety across three general data/model modalities: structured data (tabular), natural language processing (NLP), and computer vision. Participants will learn to evaluate and enhance the trustworthiness and reliability of models in each modality. Additionally, they will explore how to integrate these principles into future models, bridging ethical practices with practical applications in their research.This is a pilot workshop, testing out a lesson that is still under development. The lesson authors would appreciate any feedback you can give them about the lesson content and suggestions for how it could [...]

Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/

Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/

Machine Learning Beyond Traditional CS Fields. CONTACT: endemann@wisc.edu ONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09

Machine Learning Community Event. CONTACT: endemann@wisc.edu

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/2025-01-13-uwmadison-swc/

https://uw-madison-datascience.github.io/2025-01-13-uwmadison-swc/

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/2025-01-13-uwmadison-swc/

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/2025-01-13-uwmadison-swc/

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/2025-01-13-uwmadison-swc/

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/2025-01-21-uwmadison-dc/

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/2025-01-21-uwmadison-dc/

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/2025-01-21-uwmadison-dc/

Learn about tools and services to support campus research.. Researchers and IT/support staff are invited to participate in this monthly community of practice, which features presentations and support related to campus research tools/services. This month: RCI Tools & Services Overview - Learn about tools available through the Research Cyberinfrastructure, including ResearchDrive, Research Object Storage (S3), Electronic Lab Notebook, Globus, Data Science Platform, and cloud computing. RCI staff available for consultations during this session! CONTACT: rci@g-groups.wisc.edu URL: https://go.wisc.edu/rci ONLINE: https://uwmadison.zoom.us/j/98069906780?pwd=WK87lTIKXV1hv2hqQu7QPW0DNiYWA8.1

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/2025-01-21-uwmadison-dc/