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Datafront Skill Surge – Session 11

In this session, we’ll explore how data, design, and technology can help cities prepare for and adapt to the impacts of climate change.

Course description

What do we mean when we talk about administrative data? Why is administrative data considered such a powerful tool?

Routinely collected administrative data captures interactions across the entire population, offering an unparalleled breadth and depth of information.

This on-demand series aims to equip researchers with the knowledge and skills to harness data for societal and sustainable change. This series covers important topics such as the use of administrative data in policymaking, circular economy models, climate resilience, and the impact of digital media on behaviour, with emphasis on the importance of interdisciplinary collaboration and innovative strategies to address global challenges.

Participants will gain insights from experts, study case studies, and explore practical examples that illustrate how data-driven approaches and emerging technologies are transforming urban planning, agriculture, and health – that will empower researchers to shape the future of the data landscape!

  • Session 11 will explore how data, design, and technology can help cities prepare for and adapt to the impacts of climate change.

 

Learning mode

On-demand, self-paced 

 

Who should attend

This course is intended for:

  • Data Analysts and Researchers: Those working with administrative or big data who want to deepen their understanding of its characteristics and uses.
  • Policymakers and Government Officials: Decision-makers who rely on data to shape public policies.
  • Public Sector Managers: Managers in government institutions seeking to optimise data usage for service improvements.
  • Health and Social Care Professionals: Individuals looking to use data for improving service delivery and outcomes.
  • Urban Planners and Public Health Professionals: Individuals interested in using administrative data to inform planning and health policies.

 

Aims and objectives

  • Understand Climate Resilience Principles: Explore the key principles of designing infrastructure and urban systems that can adapt to and withstand climate-related risks.
  • Integrate Social Science Insights: Learn how social science data, such as community behaviours and socio-economic factors, contribute to climate-resilient planning.
  • Promote Data-Driven Urban Planning: Discuss how data integration and predictive analytics enhance decision-making in climate-resilient design.

 

Skills area and competencies

Based on the Datacise Open Learning framework, the relevant skills and competencies for this video include:

Skills Areas:

  • Data Integration and Analysis: Skills in combining diverse datasets, including environmental, social, and economic data, for comprehensive urban planning insights.
  • Climate Adaptation Strategies: Developing actionable strategies to adapt urban systems and infrastructure to climate risks.
  • Interdisciplinary Collaboration: Fostering collaboration between data scientists, urban planners, policymakers, and social scientists for resilient design solutions.

Competencies:

  • Strategic Decision-Making: Ability to formulate data-informed strategies for climate-resilient infrastructure and urban planning.
  • Analytical Competency in Urban Systems: Proficiency in analysing the interplay of environmental, social, and technical factors in urban resilience.
  • Ethical and Sustainable Design Awareness: Understanding the ethical implications of urban planning decisions and their long-term impact on communities and the environment.

Pre-requisite

  • Basic Knowledge of Urban Planning Principles and sustainability concepts.
  • Familiarity with Data-Driven Tools used in urban systems and environmental analysis.
  • Interest in Social Science Integration for community-centric urban solutions.

 

Learning outcomes

  • Define Climate Resilience in Urban Contexts: Ability to articulate what makes urban infrastructure climate-resilient.
  • Integrate Social Science in Planning: Skills in leveraging social science data to design urban systems that meet community needs.
  • Apply Data-Driven Solutions: Understand how data informs infrastructure adaptation and enhances urban planning strategies.

 

Transferable skills

  • Critical Analysis: Developing skills in evaluating climate risks and planning adaptive solutions for urban environments.
  • Data Literacy: Applying data insights to optimise urban systems and infrastructure resilience.
  • Stakeholder Communication: Engaging effectively with policymakers, planners, and communities to promote climate-resilient design.
  • Project Management: Managing interdisciplinary projects focused on urban resilience and sustainability.

 

Assessment

Multiple choice quiz to self-check understanding. 

 

This training content was originally developed and produced by Professor Adam Chee, Datacise Education Lead at Swansea University, with narration enhanced by advanced text-to-speech technology.

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