GC Data Conference 2023/networking

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Networking

Live chat

WebEx

Networking sessions will be open Day 1 (Feb. 22) and Day 2 (Feb. 23) from 9:30 am to 10:30 am.

Click " [Expand] " to the right of each title to learn more about each session.

Data Literacy - Digital Academy (9:30 to 10:30 am)

The CSPS Digital Academy was established by the Canada School of Public Service (CSPS) in 2018 to help federal public servants gain the knowledge, skills and mindsets they need in the digital age. It supports the principles of Canada's Beyond2020 initiative for an agile, inclusive and equipped workforce and advocates for a digital-first approach that aligns with Canada's Digital Standards. These ten digital standards form the foundation of the government's shift to becoming more agile, open and user-focused.

Through the Discover Data series, the Digital Academy aims to:

• develop data competencies in support of a data-literate workforce
• create a common language around data
• create a community of like-minded, mutually supportive individuals

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Digital Community (9:30 to 10:30 am)

The digital community includes people who work in digital disciplines: they have the skills and experience in fields including but not limited to data and information, design, product, and IT/cyber security, development, digital leadership. At the Office of the Chief Information Officer, we find, develop, enable, and recognize digital practitioners, digital executives, and departmental CIO/CDOs.

In this session, you will get a sneak peek at the Digital Community team's progress and connect with peers.

Discussion material

1. GCDigital Community in the Government of Canada: GC Data Conference 2023 networking session

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Public Sector Experimentation (9:30 to 10:30 am)

The Public Sector Experimentation team aims to create the conditions for more widespread innovation across the public service. Their efforts are supported by a three-point framework:

• Community Building and Learning Resources: Building capacity across the public service for innovative thinking and doing by connecting and sharing tools, new initiatives, and lessons learned.
• Learning Events: Develop and deliver events that champion public sector innovation ideas, skillsets and priorities; build a compelling narrative around innovation
• Learning-by-doing projects: Run experiments that leverage data analytic techniques, automation and AI to address horizontal issues. Provide public servants with project-based experiential learning experiences – learning that sticks.

Discussion questions

1. What big challenge do you bring to the GC Data Conference 2023?
2. What do you hope to get from the conference and give to the data community?

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Data and Information Management Leaders (9:30 to 10:30 am)

The mandate of the merged communities is to optimize the value of data and information as strategic assets, by providing a forum for community members across GC to discuss key data and information issues and contribute through: policy, advice, research, and professional development.

Discussion material

1. Enterprise Data Community of Practice and Information Management Leaders: GC Data Conference 2023 networking session

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Data Science Network (9:30 to 10:30 am)

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

1. 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.
2. 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.
3. 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.

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People & Culture Working Group (9:30 to 10:30 am)

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.

Discussion questions

1. What big challenge do you bring to the GC Data Conference 2023?
2. What do you hope to get from the conference and give to the data community?
3. What are your biggest/most intractable barriers to developing your organizations data culture and literacy?
4. What is a success you would like to share with others for improving data culture and literacy?
5. What is something unexpected that has happened on your data journey?

Join this session!




GC Data Community - Data Talent (9:30 to 10:30 am)

The Data Talent Project is based on human-centred design principles and aims to develop solutions that genuinely address the needs of the data specialists in the GC. Human centered design involves the participation of those most affected by an issue at every stage of the problem-solving process.

Three objectives provide the foundation for this project:

• Take stock of past, ongoing, and planned initiatives pertaining to data talent in the GC
• Identify the barriers and enablers to attracting, developing, and retaining data talent
• Design user-centred solutions

The Public Service Commission, a partner in the project, will also showcase its new pilot recruitment program for data scientists and its rich toolbox of resources to support data talent recruitment and hiring.

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GC Data Community - GC Data Ecosystem (9:30 to 10:30 am)

The GC Data Ecosystem project curates and connects a public sector-sourced collection of entities, which includes groups, policies, resources, data sets, and dozens of other types of things related to federal government data priorities. The collection of entities depicts a public sector environmental scan by highlighting ongoing efforts. The connections help spread situational awareness, and spur innovation and growth through shared knowledge. The ecosystem and its products are accessible and open by default and will continuously grow to portray a complete view of all the unique entities within interconnected domains. We believe that the public service is better off when we as a community share what we know. This project is built by the data community for the data community.

Discussion questions

1. Are you expecting the GC Data Conference 2023 to inform any of the projects you’re working on?
2. Share the strategies you employ or your organization/branch employs to remain up-to-date when it comes to data. (E.g. How and how often do you conduct your environmental scans and how do you use the results of the scans in your work?)

Join this session!

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Slack

→ Click here, or scan the QR code below to create an account with the GC Data Conference 2023 Slack workspace. Enter your email address and follow the instructions to create an account.

→ Click here to log in if you have already created an account. Enter the email address you used to sign up and follow the instructions to 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.

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