Datafront Skill Surge: Data-driven water management strategies

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 18 will explore how data-driven approaches transform water management systems, ensuring sustainability and equitable access.

 

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

• To explore how data-driven strategies can optimise water management and conservation.
• To discuss the role of technologies like IoT, AI, and GIS in enhancing water efficiency.
• To equip participants with insights into overcoming challenges and implementing ethical practices.

 

Skills area and competencies

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

Skills Areas:

• Data Analytics: Using IoT, AI, and predictive models for resource optimisation.
• Sustainability Strategies: Designing solutions for long-term water conservation.
• Technological Proficiency: Implementing advanced monitoring and control systems.

Competencies:

• Proficiency in using data-driven tools to improve water management.
• Skills in evaluating ethical, environmental, and social implications of technological solutions.
• Ability to develop collaborative strategies for sustainable water use.

 

Pre-requisite

• Basic understanding of water management systems and challenges.
• Familiarity with data technologies like IoT and GIS.

 

Learning outcomes

• Analyse the benefits and challenges of data-driven water management strategies.
• Apply innovative technologies to optimise water use in various contexts.
• Develop inclusive and ethical approaches to ensure equitable access to resources.

 

Transferable skills

• Critical Thinking: Addressing complex water challenges with innovative solutions.
• Collaboration: Engaging stakeholders in water conservation efforts.
• Technological Application: Leveraging advanced tools for practical and sustainable outcomes.

 

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.