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Data Science by Design

COLLECTIVE
community

Opening best practices of data science through storytelling.

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Top financial contributors

Organizations

1
Hopewell Fund

$20,000 USD since Mar 2021

2
Code for Science & Society

$13,200 USD since Dec 2020

Individuals

1
Ciera Martinez

$600 USD since Dec 2020

2
Incognito

$330.05 USD since Jul 2022

Data Science by Design is all of us

Our contributors 5

Thank you for supporting Data Science by Design.

Ciera Martinez

Admin

$600 USD

Hopewell Fund

$20,000 USD

Code for Scie...

$13,200 USD

Incognito

$330 USD

Guest

Budget


Transparent and open finances.

Contribution #805172

Website design, content writing, and development

Category
Marketing, Design, & PR
from Ciera Martinez to Data Science by Design
-$600.00 USD
Paid
Invoice #217545
$
Today’s balance

$576.26 USD

Total raised

$30,687.33 USD

Total disbursed

$30,111.07 USD

Estimated annual budget

$7,200.00 USD

About


An understanding of narrative through data visualization can help us share data science as a practice, through curriculum, guides, and tutorials in data science education. We are proposing the organization of two 1-day long virtual events (in Spring and Fall 2021) which will support the creation of informative and design-conscious content for sharing the best practice of data science. We are calling this event “Data Science by Design” because in addition to a focus on aesthetic visual design principles, we believe that as a community we should be conscientiously developing the future of data science: a future built with diversity, inclusion, and open education as its guiding principles. Our events will empower and support attendees to produce visual content that effectively and artfully communicates the practice of data science research in the form of how-to guides, infographics, and zines. Further, these events will create a community. We will compile our community-developed products into a self-published anthology that will be freely available at datasciencebydesign.org, as well as to the wider data science community in both digital and print form.

Our team