Difference between revisions of "GC Data Conference 2023/networking"
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| − | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID= | + | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=m3910b10342751fd70aa79975bb031d60 GC Data Community - Data Talent]</strong></li> |
| − | <div class="mw-collapsible-content"> | + | <div class="mw-collapsible-content">More info coming soon |
| − | + | <div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=m3910b10342751fd70aa79975bb031d60 Join this session!]</div> | |
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| − | <div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID= | ||
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| − | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID= | + | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=me99b58407a0fd7f907490760e2abd6d1 People & Culture]</strong></li> |
| − | <div class="mw-collapsible-content"> | + | <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="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID= | + | <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> |
| + | <div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=me99b58407a0fd7f907490760e2abd6d1 Join this session!]</div> | ||
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| − | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID= | + | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mafe90072f613f84fa33ee347a1f2bbb8 Data Science Network]</strong></li> |
| − | <div class="mw-collapsible-content"> | + | <div class="mw-collapsible-content">The Data Science Network for the Federal Public Service is a community that builds data science capacity by sharing data science methods across the Government of Canada and the greater data science community. The network allows the public service to benefit from the use of automation and new data sources. Members share information on training, best practices, innovative projects and accomplishments and other data science related themes. |
| − | + | <p id="DSN-discussion"><strong>Discussion questions</strong></p> | |
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<ul> | <ul> | ||
| − | <li>the | + | <li>The future of natural language processing and machine learning: Speculate about the potential impact of NLP and machine learning on the government, as well as on industries such as healthcare, finance, and education. Discuss the challenges that must be overcome to realize this potential.</li> |
| − | <li> | + | <li>The impact of data science on society: Explore the ways in which data science is shaping the world around us, from personalized advertising to predictive policing. Discuss the ethical considerations that arise when using data science and machine learning, such as privacy, bias, and fairness.</li> |
| − | + | <li>The future of data science education: Discuss the skills that will be necessary for future data scientists, and explore different strategies for educating and training the next generation of data scientists.</li> | |
| − | <li>data science</li> | ||
</ul> | </ul> | ||
| − | <div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID= | + | <div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mafe90072f613f84fa33ee347a1f2bbb8 Join this session!]</div> |
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| − | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mfa4dc90d7ded78ecb4324591d9fc99d9 Information Management | + | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mfa4dc90d7ded78ecb4324591d9fc99d9 Data and Information Management Leaders]</strong></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; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mfa4dc90d7ded78ecb4324591d9fc99d9 Join this session!]</div> | <div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mfa4dc90d7ded78ecb4324591d9fc99d9 Join this session!]</div> | ||
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<li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=me1d80a259f4b0ea8df418621919a7688 Public Sector Experimentation]</strong></li> | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=me1d80a259f4b0ea8df418621919a7688 Public Sector Experimentation]</strong></li> | ||
<div class="mw-collapsible-content">The Public Sector Experimentation team team aim to create the conditions for more widespread innovation across the public service. | <div class="mw-collapsible-content">The Public Sector Experimentation team team aim to create the conditions for more widespread innovation across the public service. | ||
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| + | <li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=m0dbf963e0121789a4478b7d2feacf21d Digital Community]</strong></li> | ||
| + | <div class="mw-collapsible-content">In the public service, members of the digital community are leaders in transforming how the government works and delivers services. We have the opportunity, scale and reach to build tools and services for all of Canada. | ||
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| + | Our community includes: | ||
| + | <ul> | ||
| + | <li>the traditional domain of Information Technology, the people responsible for enabling technical transformation</li> | ||
| + | <li>information and data management</li> | ||
| + | <li>data analytics</li> | ||
| + | <li>data science</li> | ||
| + | </ul> | ||
| + | </div> | ||
| + | <div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=m0dbf963e0121789a4478b7d2feacf21d Join this session!]</div> | ||
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Revision as of 16:40, 20 February 2023
vExpo | Agenda | Speakers | Discover more about data |
WebEx
- People & Culture
- Data Science Network
- The future of natural language processing and machine learning: Speculate about the potential impact of NLP and machine learning on the government, as well as on industries such as healthcare, finance, and education. Discuss the challenges that must be overcome to realize this potential.
- The impact of data science on society: Explore the ways in which data science is shaping the world around us, from personalized advertising to predictive policing. Discuss the ethical considerations that arise when using data science and machine learning, such as privacy, bias, and fairness.
- The future of data science education: Discuss the skills that will be necessary for future data scientists, and explore different strategies for educating and training the next generation of data scientists.
- Data and Information Management Leaders
- Public Sector Experimentation
- demonstration projects (learning by doing);
- community building (learning events and information sharing); and
- research (exploring new and enabling methodologies).
- Digital Community
- the traditional domain of Information Technology, the people responsible for enabling technical transformation
- information and data management
- data analytics
- data science
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.
The Data Science Network for the Federal Public Service is a community that builds data science capacity by sharing data science methods across the Government of Canada and the greater data science community. The network allows the public service to benefit from the use of automation and new data sources. Members share information on training, best practices, innovative projects and accomplishments and other data science related themes.
Discussion questions
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.
The Public Sector Experimentation team team aim to create the conditions for more widespread innovation across the public service.
Their efforts are supported by a three-point framework:
In the public service, members of the digital community are leaders in transforming how the government works and delivers services. We have the opportunity, scale and reach to build tools and services for all of Canada.
Our community includes:
Slack
→ Click here to join the GC Data Conference 2023 Slack workspace. 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 chatting in the channel(s) of the session you're attending.
Each channel corresponds to a session at the GC Data Conference. For example, in the below image, the first 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.
GC Data Community | Contact us | Subscribe | Join us on GCcollab | GC Data Community Partners
