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Data Science Incubator
This morning
• Context: A Data Science Environment• Data Science Studio• Pilot Incubator Program• Discussion
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A 5-year, $37.8 million cross-institutional collaboration
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Establish a virtuous cycle
• 6 working groups, each with • 3-6 faculty from each institution
Pilot Program Organizers
• Andrew Whitaker, Research Scientist• Dan Halperin, Director of Research, Scalable Data Analytics• Jake Vanderplas, Director of Research, Physical Sciences• Bill Howe, Associate Director
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The Data Science Studio
• An open collaborative research space• A resident data science team
– Permanent staff of ~5 data scientists – applied research and development– ~15-20 data science fellows (research scientists, visitors, postdocs, students)
• How to Engage:– Drop-in open workspace– Studio “Office Hours”– Incubation Program
…plus seminars, sponsored lunches, workshops, bootcamps, joint proposals...
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6th floor Physics Astronomy Building
A partnership among …
• Provost• UW Libraries• Physics, Astronomy,
Arts & Sciences• eScience Institute
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Estimated Timeline:• Design Phase Jan-June• Construction June – Sep• Target: October 1, 2014
Incubator Program Overview
• Goal: Create watercooler opportunities and scale our efforts by co-locating collaborations from different fields in the studio
• Protocol: ~1-page proposals for 1-quarter, on-site data science collaborations with us
• What we're looking for: Projects where fruitful collaboration is possible, with potential for significant impact, and that have sustained engagement
• This meeting: Pilot program for Spring Quarter to inform full launch Fall 2014.
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http://data.uw.edu/incubator
Spring Incubator Pilot Program Logistics
• Applications due online 3/10• Each proposal identifies a Project Lead (PL)
– The person doing the work, not the thesis advisor
• Incubator participants join the studio 2 days/week– Days decided collectively by participants and team
• Pilot program operates out of Sieg 326• Milestones at 3, 6, 9 weeks
– blog posts + demo, visualization, IPython notebook, dataset, GitHub repo, preliminary results, etc.
• Networking/poster session during 9th week
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Areas of interest• scalable data management and analytics• learning and predictive models• interactive visualization• parallel algorithms• code review, publishing, and reproducibility• online teaching materials, tutorials
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A Live SeaFlow Dashboard
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Laser
Microscope Objective
Pine Hole Lens
Nozzle d1
d2
FSC (Forward scatter)
Orange fluo
Red fluo
Francois Ribalet
Jarred Swalwell
Ginger Armbrust
SeaFlow Ambitions• SeaFlow is a huge success! NSF wants one on
every R/V
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SeaFlow Ambitions• Underway biology should enable adaptive
sampling - a sort of “holy grail”
• How can remote collaborators participate?• What about citizen science?
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“Wait! We saw a populationchange between P3 and P4!”
“Let’s go back!”
A Live SeaFlow Dashboard
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Is the instrumentworking?
Where is the ship?What is it doing?
What phytoplankton populations are we seeing?
The AscotDB Project
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• A multi-year collaboration between UW Astronomy and UW Computer Science researchers and students
• ASCOT = the AStronomy COllaborative Toolkit
• Goal: Provide an interactive and collaborative environment for analysis of astronomical data.
The AscotDB Project
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• Interacting browser-based widgets for generating database queries & associated visualization.
• The resulting visualizations can be shared with collaborators through a browser URL
Pilot cohort desiderata
• good clustering• alignment with sponsor and program goals• new directions, new questions• availability, engagement, commitment• “do only what we can only do together”
– with apologies to Djikstra
• clarity and shovel-readiness• capacity for measurable outcomes
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Spring Schedule
• 3/10: Proposals due• 3/14: Follow-up requests• 3/21: Pilot participants notified• 3/31: Spring program start date• 4/21: First milestone• 5/12: Second milestone• 6/2: Third milestone• 6/6: Poster/networking event
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