Save your seat! Data-Driven Animation Course CSUMB Summer 2022
Jessica Kendall-Bar, UCSC PhD Candidate and freelance animator, will be teaching a "Data-Driven Animation for Science Communication" course with CSUMB's Science Illustration Program July 18-29th, 2022, where we will bring scientists and artists together to create data-driven storytelling animations to accompany high-tier scientific publications. This intensive 2-week summer course (2PM-6:30PM M-F) will equip students with technical animation and science communication tools to create annotated, narrated, data-driven animations in 2D and 3D that bring scientific data to life. Our current plan is to hold this 2-week course in person at CSUMB's campus in Seaside, which will facilitate access to technology and foster an engaging, collaborative environment. We will communicate any proposed changes to switch to virtual instruction.

Students will draft a science writing script, create custom raster and vector graphics using Adobe Photoshop and Illustrator, program data visualizations in R, learn to model and animate 3D models in Autodesk Maya, and create animated compositions in Adobe After Effects and Premiere Pro. For their final project, students will follow a creative pipeline outlined in our recent publication to assemble these data-driven assets into an animated video abstract for their own research or that of a collaborating researcher.

See more information here: https://jessiekb.com/artforscicomm

Community members are able to take summer classes at CSUMB for personal enrichment, professional development, or for-credit towards a degree (credit does not apply to the Science Illustration Certificate program). These courses fill up quickly and are on a first come basis.

See the course listing here: https://csumb.edu/scienceillustration/summer-science-illustration/

Cost: $280 per unit + $39 per term campus fee = $879 per class
Registration will be open starting April 5, 2022.

**By filling out this form (and responding 'Yes' or 'Maybe' to the first question), you will receive an email with the chance to enroll as soon as the course is posted in March. To complete course registration, you must fill out a registration form and pay when enrollment opens.**

At the bottom of this form, please indicate if you would like to be considered for a student award to help defray the cost of enrollment.

If you are a scientist looking to collaborate with a student-artist, please fill out this other google form:
https://forms.gle/fkAqWa2krSE4iJx59
Email *
Are you interested in registering for the in-person 'Data-Driven Animation' course July 18-29 in Seaside, CA at CSUMB? *
See what is possible! Watch this video to see some examples of how data can drive animation..
What kinds of data are you most interested in learning to animate? *
Required
Would you be working with your own data or with a provided dataset? *
For scientists working with own data: what type of data do you have (check all that apply)? For artists that would like to be paired: what type of data do you want to work with?
For scientists working with own data: briefly describe your data and study system (<50 words).
Please indicate whether you are OK with your final animation being shared online as part of a virtual gallery. *
Experience level
Please fill out the following information as accurately as possible so that we can adjust our instruction to support you.
Please describe your skill level and experience with Adobe Photoshop. *
Please describe your skill level and experience with Adobe Illustrator. *
Please describe your skill level and experience with Adobe After Effects. *
Please describe your skill level and experience with Adobe Premiere Pro. *
Please describe your skill level and experience with Autodesk Maya. *
Please describe your skill level and experience with data science (programming in R, MATLAB, Python, or other). *
Please describe your skill level and experience with R (Statistical Programming Language). *
Would you like to be considered for a student award to defray the cost of enrollment? *
Please submit a short essay (200 words or less) describing your background and what you hope to gain from this course to be considered for a student award.
A copy of your responses will be emailed to the address you provided.
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