Data Science Training and Collaboration

Online workshop on best practices in teaching data science to students and researchers

January 18thth - 21stth 2022

Hosted by the University of Washington eScience Institute,
the West Big Data Innovation Hub and the HSI STEM HUB

Goals of the workshop

Data science ideas

Participants will learn new ways that data science can be integrated into their curriculum.

Data science training

Participants will use techniques and tools for teaching data science.

Data science tools

Participants will gain experience in teaching using approaches such as live coding, use of computational notebooks, version control, etc.

Community engagement

Participants will learn about applications of data science in community engagement (e.g., Data Science for Social Good).

Ethics and critical data science

Participants will incorporate ethics considerations into use of data science tools and methods.

Collaboration

Participants will collaboratively develop concepts for further joint work.

Schedule (Pacific Standard Time)

11am to 12pm

Welcome and introductions

12:15am to 1:15pm

The data science curriculum

Sarah Stone

1:15pm to 2pm

The Carpentries

Noah Benson

11am to 12pm

Critical Data Science

Anissa Tanweer

12:15pm - 1pm

Critical Data Science (cotd.)

Anissa Tanweer

1:15pm - 2pm

Breakout session

11am to 12pm

Growthmap to Data Science for Social Good

Dharma Dailey

12:15pm to 1pm

Doing data science with public sector partners

Jose Hernandez

1:15pm to 2pm

Breakout session

11am to 12pm

Cloud computing for research and training

Naomi Alterman

12:15pm to 1pm

Lightning talks by the participants

1:15pm to 2pm

Breakout session and conclusion

Speakers

Ariel Rokem

University of Washington

Sarah Stone

University of Washington

Naomi Alterman

University of Washington

Noah Benson

University of Washington

Anissa Tanweer

University of Washington

Dharma Dailey

University of Washington

Jose Hernandez

University of Washington