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PDT (UTC -7)Monday April 17Tuesday April 18Wednesday April 19Thursday April 20
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ABABAB
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9:00 AMLegendIntro to text analysis,
Rongbo Jin		Intro to machine learning, Goutamkumar Kalburgi (NAU)Data Publication for Reproducible Research, Fernando RiosCollaborating on code with GitHub, Andrew Antaya (UA)Women in Data Science
(WiDS Tucson)
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Speaker sessions
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10:00 AMWorkshopsMaking your first R package,
Eric Scott		Basic Probability Theory, Michael Nafis Ul Alam (UA)
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10:15 AMIntro to deep learning in R, Toby Hocking (NAU)
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External Events
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11:00 AMUA, NAU, or ASU indicates hybrid in-person sessions
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11:30 AMGIS Data in the Humanities,
Duo Bao (UA)
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12:00 PMComputational Social Sciences Lunch Panel (UA)
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1:00 PMIntro to machine learning in R (HPC), Chris ReidyPrograms for Your Programming, Ryan Bartelme (UA)Using geospatial tools for big data processing in R + GDAL, Ivan Gonzalez (NAU)Building a knowledge graph with Stardog, Alex Bigelow (ASU)Reproducibility in Python: intro to testing, Ken Youens-ClarkDecoding the Microbial World, Michael Pavia (ASU)
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2:00 PMRefresher on version control with git, Heidi Steiner (UA)Blender for cinematic visualization, Devin BaylyFunctional Data Analysis, Kayode Oshinubi (NAU)
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3:00 PMDistributed Computing, Morgan Vigil-HayesMaking your first Shiny app, Jeff Oliver (UA)General approaches to implementing GPUs in computation,
Gil Speyer (ASU)		Basics of regex, Kristina Riemer (UA)
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Intro to text mining for humanists and social scientists, Anuj Gupta
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4:00 PMHPC and GPU approaches with Matlab,
Gil Speyer (ASU)		ResBaz Hacky Hour
(ASU, NAU, UA)
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Dataset Roulette, Ellen Bledsoe (UA)
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5:00 PM
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6:00 PMTucson Python Meetup @ ResBaz AZ: Poppy Argus: Web in Python with Flask (UA)
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