Prof. Mohammed A. Mohammed
The Strategy Unit - NHS
Day 1
Decision Quality and Uncertainty
11:30-12:30 and 13:30-15:00
Workshop details
Learning outcomes
- Understand the role of uncertainty in decision-making processes.
- Understand the six elements of decision quality.
- Analyse and manage uncertainty in decision processes.
Day 1
Agitate, anticipate, aggregate: Worlding new systems for learning and living through poetic engagement across disciplines
15:30-17:00
Workshop details
Learning outcomes
- Explore poetic engagement as a method for shared meaning-making across disciplines.
- Use playfulness, humour, and hope as pedagogical tools for working with uncertainty.
- Collaboratively generate new ways of imagining ethical and responsible futures in education.
Day 2
Educating for an Uncertain Future: Pedagogies That Prepare Learners to Adapt
13:30-14:45 and 15:15-16:30
Workshop details
Learning outcomes
- Understand where and how uncertainty arises in educational settings and how learners experience it.
- Interpret the evidence base on cognitive and emotional responses to uncertainty.
- Apply research-informed strategies to help learners develop adaptive skills for managing uncertainty.
- Design learning activities that intentionally incorporate uncertainty.
Day 3
Communicating and Visualising Future Uncertainty
09:00-10:30 and 11:00-12:00
Workshop details
Learning outcomes
- Understand how communicating uncertainty can increase trustworthiness.
- Use language that explains uncertainty clearly for non-technical audiences.
- Know when visualising uncertainty is and is not appropriate.
- Apply best practices for showing uncertainty in charts.
Day 5
Predictive Inconsistency in Algorithmic Risk Assessment Tools
09:00-10:30*
Workshop details
Learning outcomes
- Understand what Algorithmic Risk Assessment Instruments are and how they are used in decision-making contexts.
- Define predictive inconsistency and identify how it emerges from modelling choices made during development.
- Recognize data science challenges that introduce uncertainty across the modelling pipeline.
- Consider multiverse-style approaches for evaluating and visualizing predictive inconsistency.
Day 5
Planning and Building for the Long-term When the Future Is Uncertain
11:00-12:30
Workshop details
Learning outcomes
- Understand how instability and uncertainty shape long-term decisions in the built environment.
- Examine practical and theoretical approaches for planning and designing resilient homes, neighbourhoods, and infrastructure.
- Evaluate strategies for making decisions today that remain robust under uncertain future conditions.
- Apply case-study insights to build more adaptive and forward-looking planning practices.