Data Viz Competition and Award
Are you a data visualization and storytelling expert? Enter the Data Viz Competition to showcase your data-driven artistic skills! CERA hosts an annual data visualization competition where participants will present key findings from their research or key practices from their daily work in a visually interesting way.
2023 Winners
People's Choice Award Winner
Where Did the Children Go?
Shannon Coulter
San Diego County Office of Education
Adobe Illustrator
Board Choice Award Winner
Supporting our Multilingual Learners
Cameron Lewis
Santa Clara Unified School District
Microsoft Excel and PowerPoint
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2023 Submissions
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Public and Internal Dashboards
Diana Wilmot
Sequoia Union High School District
Schoolytics
Mapping Formative Assessment with Satellite, Map and Street Data
Dorcas Kong
California Collaborative for Educational Excellence (CCEE)
Google Slides
Guiding the Way Forward
Ramon Peña Llanos
Tehama County Department of Education
Canva
Community Schools Initiative
Helen Blom
Public Profit and City of San Pablo: Youth, School, and Community Partnerships (YSCP)
Canva
Impact of Structured Literacy Intervention
Christi Bangsund, Kate Ory, Carol Sylvester
Chico Unified School District
Canva, Tableau, and Visme
Navigating Alternative Education through Data
Michele Bentley
Orange County Dept of Education: ACCESS Alternative Education
Excel
2022 Winners
CERA Choice Data Viz Award
Chronic Absenteeism
Ramon Peña Llanos
Tehama County Department of Education
People's Choice Data Viz Award
CAASPP Data 2016-2022
Christopher Mattson
Tombio
Data Visualization Contest Terms and Conditions
Submission Requirements
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The participant must be an attendee of the CERA Conference.
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Attendee should bring a printed copy of their data visualization to be attached to CERA-provided foam board onsite.
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The data visualization should be no larger 20x30.
Award Criteria
The CERA Awards Committee and Board Members will review posters during a designated session at the 2023 CERA Annual Conference. Panel members will evaluate each data visualization submission using the criteria listed below:
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Headline/Title represents the content of the poster and aligns with the theme of the conference
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Data appears accurate and logically depicted
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Data visualization is easily comprehended using data visualization best practices
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Contribution/significance to the field is strong and relevant