Datafront Skill Surge: Socio-economic impacts on rural communities

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 17 will explore how adaptive agriculture and water management can address these challenges, fostering socio-economic resilience and equity in rural communities.

 

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 the socio-economic challenges faced by rural communities and the role of adaptive practices in overcoming them.
• To discuss the impact of agricultural innovations and water management strategies on livelihoods, resilience, and equity.
• To equip participants with actionable insights into fostering inclusive and sustainable rural development.

 

Skills area and competencies

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

Skills Areas:

• Community Engagement and Advocacy: Engaging stakeholders to adopt and sustain adaptive practices.
• Data-Driven Decision-Making: Using socio-economic data to guide resource allocation and policy development.
• Sustainability Planning: Designing solutions that balance productivity with environmental stewardship.

Competencies:

• Proficiency in implementing inclusive adaptive agriculture and water management solutions.
• Skills in analysing socio-economic data to identify challenges and opportunities in rural areas.
• Ability to advocate for policies and practices that support equitable rural development.

 

Pre-requisite

• Foundational knowledge of socio-economic principles and rural challenges.
• Familiarity with the basics of adaptive agriculture and water management practices.
• Awareness of global sustainability goals and their relevance to rural development.

 

Learning outcomes

• Analyse the socio-economic challenges of rural communities and propose adaptive solutions.
• Evaluate the impacts of innovative agricultural and water management practices on livelihoods and resilience.
• Develop inclusive strategies that address equity, sustainability, and community empowerment.

 

Transferable skills

• Critical Thinking: Addressing complex socio-economic challenges with innovative solutions.
• Collaboration: Building partnerships between communities, governments, and private sectors.
• Advocacy: Promoting equitable and sustainable practices in professional and community settings.
• Analytical Skills: Using socio-economic data to inform decisions and policy recommendations.

 

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.