Guide Future Fractal Virtual

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Big data connection complex. A fractal is a never-ending pattern. She holds an MSc.

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Dianne Scott is a social scientist with a research interest in the field of environmental and climate change governance, environmental politics, and sustainable urban development, with a particular focus on South Africa and KwaZulu-Natal. She is also a co-editor of a book on the co-production of development and climate change knowledge for the city of Cape Town.

Mawanda provides technical advice, policy support and capacity building on National Adaptation Programmes in Armenia, Georgia, Kenya, Malawi and Nepal. Mawanda was formerly in charge of disaster risk reduction and climate adaptation at the Uganda Red Cross Society, engaging local structures, national governments and regional bodies on climate risk management and policy dialogue. His activities have included monitoring housing demolitions associated with the currently underway Lusaka Ring Road Project.

Gilbert holds an MSc.

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Meggan holds a Ph. Her research was on investigating the barriers to and enablers of municipal planned climate change adaptation. Anna is the lead on climate services in the Climate System Analysis Group. She has a background in applied climate science with a current research focus on the engagement of users and decision-makers in the use of climate information.

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He now directs our initiatives linking applied knowledge with humanitarian work, as well as new approaches to climate risk management. Examples include participatory games for learning and dialogue, and the forecast-based financing pilots in Togo and Uganda — the use forecasts of extreme events to trigger the disbursement of funds for action before a disaster occurs. Pablo holds a first degree in water engineering, an MSc. Mark is involved in African climate variability, seasonal forecasting and climate change issues.

Ongoing work on the onset of the maize growing season relates to food security concerns across the region.

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Anna works on questions of urban adaptive governance and sustainable transitions to address the differential risks, vulnerabilities and impacts associated with climate change. Anna has a background in human geography and environmental science. She has an interest in what knowledge, whose knowledge and how different kinds of knowledge is brought to bear on decisions and actions affecting the resilience of an urban system, which leads to questions of power and empowerment.

Richard works on understanding environmental-related decision-making and adaptation processes. He has also been applying agent-based social simulation to address environmental management and development problems, including modelling socio-cognitive factors affecting disaster preparedness, impact of shrimp farming on rice paddy ecosystems and dependent livelihoods, and the emergence of sustainable agro-forestry from farmer decision-making in Cameroon. Hons in Plant Science and an MSc. Her post-graduate studies are related to wetland ecology.

Lulu has worked as an environmental and ecological consultant, for environmental companies as well as in a freelance capacity. Coleen recently re-joined the University of the Witwatersrand, Johannesburg after spending time at the University of Pretoria. Her current research interests include working in the social and physical dimensions of climate change resilience including helping to build and enhance robust responses to environmental change, effective climate change responses and efforts in disaster risk reduction. Katinka holds an MSc.

In her MSc.


Katinka works on climate change adaptation projects. Piotr is a hydrologist. Maybe even a wetland hydrologist. On the one hand, liberals worry about increased income inequality and exclusion due to the automation of labour, and the pooling of poorly paid work on platforms such as Uber and TaskRabbit.

They fret about the fact that only the highly intelligent, educated or creative will thrive. Governments keen to soften the blow are considering so-called helicopter money in the guise of universal basic income. Meanwhile, pundits further to the political Left indulge in fantasies of automated luxury communism, in which artificial intelligence, directed by a socialist-style government, makes work discretionary.

But this scenario fails to explain how innovation will be sustained, or how the very costly information infrastructure will be maintained, when the only motivation to do so will be altruistic. Both political camps accept a version of the elegant premise of economic equilibrium, which inclines them to a deterministic, linear way of thinking. But why not look at the economy in terms of the messy complexity of natural systems, such as the fractal growth of living organisms or the frantic jive of atoms?

The underlying rules might be simple, but what emerges is inherently dynamic, chaotic and somehow self-organising. Complexity economics takes its cue from these systems, and creates computational models of artificial worlds in which the actors display a more symbiotic and changeable relationship to their environments. Seen in this light, the economy becomes a pattern of continuous motion, emerging from numerous interactions. The shape of the pattern influences the behaviour of the agents within it, which in turn influences the shape of the pattern, and so on.

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The former assumes rational agents with near-perfect knowledge, while the latter recognises that agents are limited in various ways, and that their behaviour is contingent on the outcomes of their previous actions. Most significantly, complexity economics recognises that the system itself constantly changes and evolves — including when new technologies upend the rules of the game.

But now, in an era of Ubers-for-everything, companies are changing into platforms that enable, rather than enact, core business processes. The cost of reaching customers has dropped dramatically thanks to the ubiquity of digital networks, and production is being pushed outside the company wall, on to freelancers and self-employed contractors.

Market and price fluctuations have been defanged as machine learning and predictive analytics help companies manage such ructions, and on-demand services for labour, office space and infrastructure allow them to be more responsive to changing conditions. But this hybrid model of doing digital business is about to change.