ClinicCount2020: Difference between revisions

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= Clinic attendance for each day=
= Clinic attendance for each day=
==Clinics day 1==
==Clinics day 1==
 
__NOCACHE__
<table class="table table-striped sortable"  cellspacing="0" cellpadding="0" style="margin:0em 0em 0em 0;" width="75%">
<table class="table table-striped sortable"  cellspacing="0" cellpadding="0" style="margin:0em 0em 0em 0;" width="75%">
<tr  valign="top"><th width="60%" {{hl3}}>Clinic</th><th  width="30%" {{hl3}}>Nr. of attendance</th></tr>
<tr  valign="top"><th width="60%" {{hl3}}>Clinic</th><th  width="30%" {{hl3}}>Nr. of attendance</th></tr>
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<tr valign="top"><td valign="top">5) Will not attend a clinic: </td><td>{{#ask:[[CSDMS_meeting_select_clinics1_2020::5) Will not attend a clinic]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">5) Will not attend a clinic: </td><td>{{#ask:[[CSDMS_meeting_select_clinics1_2020::5) Will not attend a clinic]]|format=count}}</td></tr>
</table>
</table>


==Clinics day 2.==
==Clinics day 2.==
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<tr valign="top"><td valign="top">1) Deep Neural Network, Part I: </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::1) Deep Neural Network, Part I]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">1) Deep Neural Network, Part I: </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::1) Deep Neural Network, Part I]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">2) GCAM and Demeter: </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::2) GCAM and Demeter]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">2) GCAM and Demeter: </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::2) GCAM and Demeter]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">3) Ecological Network Analysis/EcoNet </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::3) Ecological Network Analysis/EcoNet]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">4) Landlab: </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::4) Landlab]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">4) Landlab: </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::4) Landlab]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">5) Google Earth Engine: </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::5) Google Earth Engine]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">5) Google Earth Engine: </td><td>{{#ask:[[CSDMS_meeting_select_clinics2_2020::5) Google Earth Engine]]|format=count}}</td></tr>
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<tr valign="top"><td valign="top">3) Deep Neural Network, Part II: </td><td>{{#ask:[[CSDMS_meeting_select_clinics3_2020::3) Deep Neural Network, Part II]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">3) Deep Neural Network, Part II: </td><td>{{#ask:[[CSDMS_meeting_select_clinics3_2020::3) Deep Neural Network, Part II]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">4) Modeling in the cloud: </td><td>{{#ask:[[CSDMS_meeting_select_clinics3_2020::4) Modeling in the cloud]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">4) Modeling in the cloud: </td><td>{{#ask:[[CSDMS_meeting_select_clinics3_2020::4) Modeling in the cloud]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">5) Will not attend a clinic: </td><td>{{#ask:[[CSDMS_meeting_select_clinics32_2020::5) Will not attend a clinic]]|format=count}}</td></tr>
<tr valign="top"><td valign="top">5) Will not attend a clinic: </td><td>{{#ask:[[CSDMS_meeting_select_clinics3_2020::5) Will not attend a clinic]]|format=count}}</td></tr>
</table><br>
</table><br>

Latest revision as of 14:32, 26 February 2020

Clinic attendance for each day

Clinics day 1

ClinicNr. of attendance
1) High-resolution Topography: 25
2) Ecopath with Ecosim: 8
3) Promote diversity and inclusion: 14
4) CSDMS Python Modeling Tool: 19
5) Will not attend a clinic: 21

Clinics day 2.

ClinicNr. of attendance
1) Deep Neural Network, Part I: 19
2) GCAM and Demeter: 5
3) Ecological Network Analysis/EcoNet 2
4) Landlab: 17
5) Google Earth Engine: 22
6) Will not attend a clinic: 20

Clinics day 3.

ClinicNr. of attendance
1) Integrated Ecological Models: 11
2) Coupling Hydrological Models with Data Services: 12
3) Deep Neural Network, Part II: 18
4) Modeling in the cloud: 21
5) Will not attend a clinic: 22