Carl H Smith
Interactive Session Title: Regenerative Systems Design for Rapid Adaptation
We are facing a meta-crisis, which means we are becoming increasingly embedded in an ecology of crises. This meta-crisis is generating a meaning crisis where we are overwhelmed with uncertainty of what to do and how we can help. We are making more and more consequential choices with worse and worse sensemaking to inform those choices. Global-scale problems from climate change, wealth disparity, biodiversity collapse, public health issues (including an aging population) and now COVID-19, are at the forefront of public discussions, policy and technological developments. However, Covid pales in comparison to what is coming down the pipe if we do not rapidly adopt new forms of behaviour. We can no longer survive in an extractive economy. Exponential economic growth directly equates to the destruction of our ecosystems and the elimination of our natural resources. How can re-generative systems design help us to achieve rapid behaviour change? We urgently need generative opportunity creating systems that increase our capacity to innovate, discover and adapt.
During this interactive workshop we will cover the following issues and application areas:
- How can we use Regenerative Systems Design to improve our mental and physical health?
- How can we use SPIMES and ethical consumer technologies to make more informed consumer decisions?
- How do we generate Eco-Social feedback tools using AI and XR?
- How can we fully comprehend and act upon the fact that we are living in a nested ecology?
- How can we apply the principles of the Quantified-Self to the environment in order to accurately sense nature directly?
- Human brains are not evolutionarily equipped to deal with the level of complexity that the meta-crisis is generating, so do we need powerful tools like Machine learning and AI to assist us? The problem with AI is that it does not really understand humans very well. So how can we combine the two in a more „organic” way, to create a new kind of intelligence that integrates human biological systems and human values better with AI?
Carl H Smith is Director of the Learning Technology Research Centre (LTRC) and Principal Research Fellow at Ravensbourne University London. His background is in Computer Science and Architecture. He has 20 years’ experience conducting R+D into the application of hybrid technologies for perceptual, cognitive and creative transformation. Bringing in over £10 million in research funding his projects at Ravensbourne include: WEKIT (Wearable Experience), Cr-eAM FP7, mRIDGE, mEQUITY, AR4EU (Code Reality) and the Hobs 3D Academy. LTRC is responsible for generating new models of education that are industry ready. The local mission of LTRC is to implement and evaluate the impact of technological innovation on Ravensbourne’s practise-based courses. The global mission is to keep Ravensbourne competitive at multiple levels by: i) Collaborating with industry partners to ensure continuous relevance ii) Creating Frameworks of use around the advanced technologies iii) Contributing to Technology Standards iv) Contributing to Policy. He has previously worked at the Computing departments at London Metropolitan University, Glasgow University and Sheffield University. His other projects include: Hyperhumanism, Contextology (Context Engineering), Double Consciousness, Holotechnica.Academy, Umwelt Hacking, Natural Media, Seeing I and Seventh Ray. His research interests include Distributed Cognition, Spatial Literacy and Re-Generative Systems Design for Rapid Adaptation.