Difference between revisions of "GC Data Conference 2023/networking"
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<div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | <div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | ||
| − | <li style="width: | + | <li style="width:350px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mafe90072f613f84fa33ee347a1f2bbb8 Data Science Network]</li> |
<div class="mw-collapsible-content">The Data Science Network for the Federal Public Service is a new data science community that will facilitate data science capacity building and sharing of data science methods across the Government of Canada, allowing the public service as a whole to benefit from the use of automation and new data sources. The Network users share information on training, best practices, cutting-edge projects and more. | <div class="mw-collapsible-content">The Data Science Network for the Federal Public Service is a new data science community that will facilitate data science capacity building and sharing of data science methods across the Government of Canada, allowing the public service as a whole to benefit from the use of automation and new data sources. The Network users share information on training, best practices, cutting-edge projects and more. | ||
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<div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | <div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | ||
| − | <li style="width: | + | <li style="width:350px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=m3910b10342751fd70aa79975bb031d60 Data Talent]</li> |
| − | <div class="mw-collapsible-content">More info coming soon</div> | + | <div class="mw-collapsible-content">More info coming soon |
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<div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | <div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | ||
| − | <li style="width: | + | <li style="width:350px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=m0dbf963e0121789a4478b7d2feacf21d Digital Community]</li> |
| − | <div class="mw-collapsible-content">More info coming soon</div> | + | <div class="mw-collapsible-content">More info coming soon |
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<div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | <div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | ||
| − | <li style="width: | + | <li style="width:350px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mfa4dc90d7ded78ecb4324591d9fc99d9 Information Management & Data Leaders]</li> |
<div class="mw-collapsible-content">The GC Enterprise Data Community of Practice draws data and information practitioners of all varieties, independent of level or area of practice. The goal of the community is to build a space for sharing information and raising awareness related to data practices and activities across the GC. | <div class="mw-collapsible-content">The GC Enterprise Data Community of Practice draws data and information practitioners of all varieties, independent of level or area of practice. The goal of the community is to build a space for sharing information and raising awareness related to data practices and activities across the GC. | ||
<div class="button" role="button" style="color:DarkBlue; font-size:large;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mfa4dc90d7ded78ecb4324591d9fc99d9 Join the session!]</div> | <div class="button" role="button" style="color:DarkBlue; font-size:large;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mfa4dc90d7ded78ecb4324591d9fc99d9 Join the session!]</div> | ||
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<div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | <div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | ||
| − | <li style="width: | + | <li style="width:350px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=me99b58407a0fd7f907490760e2abd6d1 People & Culture]</li> |
<div class="mw-collapsible-content">People and Culture Working Group (PCWG) is a community forum for learning, knowledge sharing, and collaboration. We connect on common priorities and challenges to share best practices and lived experiences on all things data. Inclusivity is at our bedrock where we invite data practitioners and stakeholders of all classifications and levels with diverse educational and professional backgrounds to participate. | <div class="mw-collapsible-content">People and Culture Working Group (PCWG) is a community forum for learning, knowledge sharing, and collaboration. We connect on common priorities and challenges to share best practices and lived experiences on all things data. Inclusivity is at our bedrock where we invite data practitioners and stakeholders of all classifications and levels with diverse educational and professional backgrounds to participate. | ||
<p>Our mandate is to transmit the knowledge and value of data to transform the people and culture around data and data literacy. Critical inquiry and reflection on issues and challenges faced by the community provide opportunity for collective intelligence building and collaborative approaches to problem-solving, which can create new ways of thinking and doing. In turn, members can bring back knowledge and ideas to their networks and advance discussions further.</p> | <p>Our mandate is to transmit the knowledge and value of data to transform the people and culture around data and data literacy. Critical inquiry and reflection on issues and challenges faced by the community provide opportunity for collective intelligence building and collaborative approaches to problem-solving, which can create new ways of thinking and doing. In turn, members can bring back knowledge and ideas to their networks and advance discussions further.</p> | ||
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<div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | <div class="mw-collapsible mw-collapsed" style="width:auto; max-width:800px; float:left;"> | ||
| − | <li style="width: | + | <li style="width:350px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=me1d80a259f4b0ea8df418621919a7688 Public Sector Experimentation]</li> |
<div class="mw-collapsible-content">More info coming soon</div> | <div class="mw-collapsible-content">More info coming soon</div> | ||
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Revision as of 11:03, 17 February 2023
vExpo | Agenda | Speakers | Discover more about data |
WebEx
- Data Science Network
- Information Management & Data Leaders
- People & Culture
The Data Science Network for the Federal Public Service is a new data science community that will facilitate data science capacity building and sharing of data science methods across the Government of Canada, allowing the public service as a whole to benefit from the use of automation and new data sources. The Network users share information on training, best practices, cutting-edge projects and more.
The GC Enterprise Data Community of Practice draws data and information practitioners of all varieties, independent of level or area of practice. The goal of the community is to build a space for sharing information and raising awareness related to data practices and activities across the GC.
People and Culture Working Group (PCWG) is a community forum for learning, knowledge sharing, and collaboration. We connect on common priorities and challenges to share best practices and lived experiences on all things data. Inclusivity is at our bedrock where we invite data practitioners and stakeholders of all classifications and levels with diverse educational and professional backgrounds to participate.
Our mandate is to transmit the knowledge and value of data to transform the people and culture around data and data literacy. Critical inquiry and reflection on issues and challenges faced by the community provide opportunity for collective intelligence building and collaborative approaches to problem-solving, which can create new ways of thinking and doing. In turn, members can bring back knowledge and ideas to their networks and advance discussions further.
Slack
→ Click here to join the GC Data Conference 2023 Slack workspace. Then enter your email address and follow the instructions to create an account or log in.
Once you're logged in, you'll find a list of channels on the left organized by topic or event session.
You can start by introducing yourself in the #welcome-bienvenue channel, and then joining any channel you're interested in.
For example, in the below image, the channel highlighted in blue is for Day 1 (February 22, 2023), plenary session from 10:30 - 11:00 am. Once you've selected that channel, you can begin typing to share your thoughts on the "Conference opening" with other participants.
If you're experiencing technical difficulties, or would like to learn more about using Slack, please visit the Slack Help Centre.
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