Datafront Skill Surge: Future directions in agriculture and water management

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 transformative trends, cutting-edge tools, and sustainable strategies that are reshaping agriculture and water management systems.

 

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 sustainable strategies for future agriculture and water management.
• To understand how technologies and renewable energy systems improve farming resilience.
• To discuss ethical and policy frameworks supporting sustainability.

 

Skills area and competencies

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

Skills Areas:

• Technology Integration: Implementing IoT, AI, and automation in agriculture.
• Sustainability Planning: Designing resource-efficient agricultural systems.
• Policy Analysis: Evaluating governance structures for equitable farming practices.

Competencies:

• Proficiency in adopting renewable energy solutions for farming operations.
• Ability to design water management systems that balance productivity and conservation.
• Skills in assessing the ethical implications of modern farming technologies.

 

Pre-requisite

• Familiarity with basic agricultural practices and sustainability challenges.
• Understanding of data-driven tools in environmental management.

 

Learning outcomes

• Analyse the role of technology in shaping future agricultural practices.
• Evaluate sustainable water management strategies for resilience.
• Develop ethical and inclusive approaches to modern farming challenges.

 

Transferable skills

• Problem-Solving: Addressing resource constraints in agriculture.
• Collaboration: Engaging stakeholders in sustainable farming initiatives.
• Data-Driven Decision-Making: Leveraging analytics for optimised resource use.

 

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.