First Community Workshop » History » Version 14
Corinna Gries, 01/16/2014 01:14 PM
1 | 1 | Corinna Gries | h1. First Community Workshop |
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3 | h2. Goals |
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5 | * Develop ideas for larger synthesis across systems |
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6 | * Introduce scientists to the concept of workflow systems |
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7 | * Introduce scientists to open data and methods sharing |
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8 | * Gather requirements for collaboration tools that would allow scientists to use them and share data and workflows. |
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11 | h2. Participants |
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13 | 7 | Corinna Gries | Ilkay Altintas, UC San Diego, altintas at sdsc.edu |
14 | Carl Boettiger, UC Davis, cboettig at gmail.com |
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15 | Erica Christensen, Utah State, erica.christensen at weecology.org |
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16 | Elsa Cleland, UCSD, ecleland at ucsd.edu |
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17 | Scott Collins, U New Mexico, scollins at sevilleta.unm.edu |
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18 | Sam Fey, Dartmouth, Samuel.B.Fey.GR at dartmouth.edu |
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19 | Corinna Gries, U Wisconsin, cgries at wisc.edu |
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20 | Lauren Hallett, Berkeley, lauren.m.hallett at gmail.com |
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21 | Stan Harpole, Iowa State, harpole at iastate.edu |
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22 | Dave Harris, UC Davis, harry491 at gmail.com |
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23 | Matt Jones, UC Santa Barbara, jones at nceas.ucsb.edu |
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24 | Sydney Jones, U New Mexico, syd at sevilleta.unm.edu |
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25 | Julie Ripplinger, Arizona State University, julie.ripplinger at asu.edu |
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26 | Andrew Rypel, WDNR, andrew.rypel at wisconsin.gov |
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27 | David Seekell, UVa, das9xx at virginia.edu |
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28 | Elizabeth Siddon, U. Alaska Fairbanks, ecsiddon at alaska.edu |
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29 | Eric Sokol, Virginia Tech, sokole at vt.edu |
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30 | Lizzie Wolkovitch, UCSD/Harvard, lizzie at biodiversity.ubc.ca, wolkovich at fas.harvard.edu |
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31 | 1 | Corinna Gries | |
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34 | h2. Agenda |
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36 | 7 | Corinna Gries | |
37 | |_\3<. Wednesday February 5, 2014| |
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38 | | 8:30 am - 9:00 am | Welcome and introductions | Corinna | |
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39 | | 9:00 am - 9:20 am | Project overview | Corinna, Scott, Matt | |
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40 | | 9:20 am - 10:00 am | Intro to community metrics| Scott| |
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41 | |10:00 am - 10:30 am |_.Coffee Break| | |
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42 | 14 | Corinna Gries | |10:30 am - 12:00 pm | Automating community metrics, data and workflow repositories and workflows | Matt | |
43 | 7 | Corinna Gries | |12:00 pm - 1:00 pm |_. Lunch | on your own | |
44 | 8 | Corinna Gries | | 1:00 pm - 3:00 pm | Brainstorm and prioritize community metrics | plenary | |
45 | 7 | Corinna Gries | | 3:00 pm - 3:30 pm |_.Afternoon Break | | |
46 | 8 | Corinna Gries | | 3:30 pm - 5:30 pm | Community metrics implementation hackathons (R) | working groups | |
47 | 7 | Corinna Gries | |\3=. | |
48 | |_\3<.Thursday February 6, 2014| |
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49 | 8 | Corinna Gries | | 8:30 am - 10:00 am | Community metrics implementation hackathons (R) | working groups | |
50 | 7 | Corinna Gries | |10:00 am - 10:30 am |_.Coffee Break| | |
51 | 8 | Corinna Gries | |10:30 am - 12:00 pm | Community metrics implementation hackathons (Kepler) | working groups | |
52 | 7 | Corinna Gries | |12:00 pm - 1:00 pm |_. Lunch | on your own | |
53 | 12 | Corinna Gries | | 1:00 pm - 2:00 pm | Discussion hackathon outcomes | plenary | |
54 | 8 | Corinna Gries | | 2:00 pm - 3:00 pm | Desiderata for sharing community metrics | working groups | |
55 | 1 | Corinna Gries | | 3:00 pm - 3:30 pm |_.Afternoon Break | | |
56 | 12 | Corinna Gries | | 3:30 pm - 4:30 pm | Desiderata for sharing community metrics | working groups | |
57 | | 4:30 pm - 5:30 pm | Next steps - requirements for sharing workflows | plenary | |
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58 | 7 | Corinna Gries | |\3=. | |
59 | |_\3<.Friday February 7, 2014| |
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60 | 8 | Corinna Gries | | 8:30 am - 10:00 am | Next steps - list of analyses and datasets | plenary | |
61 | 7 | Corinna Gries | |10:00 am - 10:30 am |_.Coffee Break| | |
62 | 8 | Corinna Gries | |10:30 am - 12:00 pm | Next steps - list of data operations and visualizations | plenary | |
63 | 7 | Corinna Gries | |12:00 pm |_. Adjourn | | |
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67 | 10 | Corinna Gries | h2. Outcome |
68 | 6 | Corinna Gries | |
69 | 11 | Corinna Gries | * Kepler repository design requirements for sharing workflows |
70 | * list of community metrics |
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71 | 6 | Corinna Gries | * list of data sets |
72 | * list of data transformation operations to get from raw data to analyses |
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73 | * list of visualizations |