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Questions about the Center for Computational Thinking? Contact us at computationalthinking@duke.edu.
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Hello, Quarto: A World of Possibilities (for Reproducible Publishing)
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Wednesday, February 15, 2:00 p.m.
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In this YouTube Live event, Mine Cetinkaya-Rundel -- Professor of the Practice of Statistical Science -- will introduce you to Quarto, an open-source scientific and technical publishing system that unifies and extends the R Markdown ecosystem.
Through discussion and live demos, she will share how she uses Quarto for creating reproducible, computational documents, from course notes to journal publications to books and web pages. Familiarity with R and RStudio will be helpful for following along with the demos, however, those who work with any computational documents in any language (e.g., Jupyter Notebooks with Python) will also find the content relevant, particularly since Quarto is language-agnostic and can be used to create dynamic content with any computing language.
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Provost Forum: Big Problems in Big Tech
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Friday, February 17, 1:00 - 3:00 p.m.
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Data scientist and Facebook whistleblower Frances Haugen presents a keynote speech, “Accountability and Transparency in Social Media,” followed by an interactive conversation with Nita Farahany of Duke Law and Duke Science & Society.
Free and open to all; registration is required. Learn more about the event.
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We encourage the Duke community -- students, trainees, staff, and faculty -- to submit poster proposals for the Health Data Science showcase to be held on April 24. We especially encourage undergraduate participation -- posters describing class projects are welcome.
This experience will be especially valuable to students seeking to gain experience in presenting their work in front of a scientific audience. Posters are a great addition to an academic portfolio!
Read more about the call for participation.
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Computational Art Competition
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Accepting submissions through midnight Eastern time, March 31
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The Center for Computational Thinking is excited to announce the 2023 Duke Computational Art Competition! Using algorithms to generate art promotes deeper understanding of the ways that computation is changing the visual, textual, performative, and media-based world around us.
Curious? Take a look at last year's competition winners and watch this YouTube event featuring Augustus Wendell -- Assistant Professor of the Practice of Art, Art History, and Visual Studies -- on how artificial intelligence can be used to create art. More learning opportunities related to the competition will be announced soon.
The competition is open to all Duke students, faculty, and staff. Artwork must be generated by computational methods, systems, networks, or algorithms. First, second, and third place prizes will be awarded. Read all the details about the competition and submit your entry!
The deadline for submissions is midnight on March 31.
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Selections from the Archive: Bill Seaman Print Retrospective
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February 1 - March 12; public reception Friday, March 3, 5:00 - 8:00p.m.
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A print retrospective of the work of media artist, researcher, and Duke faculty member Bill Seaman will be on display through March 12.
From the artist: "...Often these works explore image — text relations. Sometimes they are a series of works that have related media-elements that have been combined and recombined via algorithms as part of historical generative works; sometimes they are displaying a major interface for an interactive work. I have also included many of my historical computational print works."
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In Person at the Technology Engagement Center (TEC) or Online
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Innovation Co-Lab Spring Roots Courses, Pathways
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Spring semester and beyond
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The Innovation Co-Lab Roots program offers learning modules in a variety of tech topics, from web design to programming to arts and fabrication. Many of these courses are available in both live workshop settings as well as in self-paced offerings.
Check out all the Roots courses, which are available through Pathways, Duke's new platform for free, co-curricular learning opportunities. While you're there, browse the wide variety of modules available, customize your path, and track your progress.
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AI Health Data Studio: Hands-On Digital Pathology
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Watch highlights of this Duke AI Health Data Studio workshop that took place in October. The event provided participants with hands-on experience working with medical digital pathology images using machine learning.
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