About

Data science is becoming increasingly important for students and researchers in STEM fields. The HSI STEM Hub in collaboration with the West Big Data Hub is offering a two-day workshop for STEM faculty at Hispanic-Serving Institutions of higher education in the West Region of the United States who would like to incorporate data science into their curriculum.
The two-day workshop, held at the University of Washington eScience Institute in Seattle will provide an overview of data science methods, tools and approaches for incorporating data science in the STEM curriculum. See goals below.

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

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

Collaboration

Participants will collaboratively develop concepts for further joint work.

Registration

To participate, please complete an application by midnight PST on August 4th

Apply now!

Instructors

Instructors

Jose Hernandez

Data Scientist, UW eScience

Kate Hertweck

Bioinformatics training manager, Fred Hutch Cancer Research Center

Ariel Rokem

Data Scientist, UW eScience

Amanda Tan

Data Scientist, UW eScience

Anissa Tanweer

Research Scientist, Human-Centered Data Science, UW eScience

Bleu Knight

HSI STEM HUB, New Mexico State University

Christine Kirkpatrick

Deputy Director, WBDIH, San Diego Supercomputer Center

Sarah Stone

Deputy Director, WBDIH, UW eScience Institute

Tentative Schedule

Tentative Schedule

Day 1

8:30 AM Light breakfast

9:10 AM Introductions (Ariel Rokem, Sarah Stone)

9:30 AM The West Big Data Hub (Christine Kirkpatrick)

9:50 AM The HSI STEM HUB (Bleu Knight)

10:10 AM Coffee break

10:30 AM The data science curriculum 1,2 (Ariel Rokem, Sarah Stone)

12 PM Lunch

1 PM Teaching Data Science Ethics: A practical and practice-based approach(Anissa Tanweer)

2:45 PM Coffee break

3 PM Data science for social good with community stakeholders (Jose Hernandez)

4 PM Happy hour and networking

Day 2

8:30 AM Light breakfast

9:10 AM Cloud computing 101 (Amanda Tan)

11 AM Teaching with live coding (Ariel Rokem)

12 PM Lunch

1 PM Cooperative learning and community building in data science (Kate Hertweck)

2 PM Coffee Break

2:20 Breakout sessions