This five-day summer school offers an in-depth exploration of advanced qualitative research methods, with a focus on narrative inquiry, autoethnography, and arts-based methodologies. It is designed for doctoral students, early-career researchers, and professionals interested in further exploring innovative and creative approaches to qualitative research. 

Participants will be supported to develop their understanding and ability to plan and conduct qualitative research, including ways to engage public audiences, such as stakeholders and community groups. 

Each day begins at 10am, and we hope to finish between 4pm - 5pm. Students will be given homework tasks and invited to share their work.

Working conference of the IFIP WG 13.6 Human Work Interaction Design 

Technologies such as Artificial Intelligence (AI), Metaverse, and Digital Twin (DT) technologies, as they become smarter, present risks of increased reliance on such technologies in the workplace. Human beings may discount their thinking capabilities and abdicate their agency, including those related to creative problem solving, to machine intelligence. Rather than completely automating tasks and asking the worker to remain in a supervisory or backup role, augmentation seeks to enable cooperation between the worker and the machine. If this concept is well studied to enable efficacy and efficiency at work, efforts must still be made in HWID research to enable well-being, trust, and ensure human control and governance of the outcomes within these worker-machine teams.

The conference calls for inclusive approaches for unpacking Industry 5.0, through the integration of human and social sciences, arts, design, and humanities insights and expertise in machine applications. This call seeks contributions that explore the augmentation of human cognition in line with human values through research of new frameworks, models, and approaches for Industry 5.0, Fifth Industrial Revolution (5IR) that focus on a harmonisation of human ability and wellbeing, while simultaneously ensuring human beings can make effective use of 5IR technologies, including machine intelligence in the workplace.

http://uwl.ac.uk/stein-ux