What skills will we need to live in future smart cities?

Today, the idea that data can play a key role in the design and management of cities is widely recognised. Architects, planners and engineers are already considering how data can improve the planning and operational aspects of cities. However, we believe it’s now time to consider the skills that people will need to live in these smart cities.

The increasing digitisation of information, coupled with the impact of innovations such as the Internet of Things, will have a profound effect on all aspects of city life. This will include anything, from transport planning and energy use reduction, to care provision and assisted living. But it will also include new ways of social innovation, new ways of organising communities, and increased access to political processes. So, familiarity, if not proficiency, in 'digital era' skills will be an essential part of future citizenship.

This doesn't only mean people should have the necessary digital consumption skills to help them make full use of emerging technologies. They should also have digital creation skills such as design, technology awareness, computational thinking and programming skills, as well as a risk-informed perception of data privacy and security. The challenges of delivering such a skillset are many, from designing a 21st century curriculum for schools and universities, to ensuring fair access to digital technology for everyone.

We believe that taking the time to consider these skills issues now is just as important as resolving the design and operational issues of the emerging technologies themselves.

Read the full report: Future of cities: smart cities, citizenship skills and the digital agenda
--------------------------------------------------------
This blog is written by Cabot Institute member Dr Theo Tryfonas from the University of Bristol's Faculty of Engineering and Dr Tom Crick from Cardiff Metropolitan University. The blog was originally posted on the Future of Cities blog run by the Government Office for Science and has been reproduced with kind permission.

Theo Tryfonas

Tom Crick

Converting probabilities between time-intervals

This is the first in an irregular sequence of snippets about some of the slightly more technical aspects of uncertainty and risk assessment. If you have a slightly more technical question, then please email me and I will try to answer it with a snippet. Suppose that an event has a probability of 0.015 (or 1.5%) of happening at least once in the next five years. Then the probability of the event happening at least once in the next year is 0.015 / 5 = 0.003 (or 0.3%), and the probability of it happening at least once in the next 20 years is 0.015 * 4 = 0.06 (or 6%). Here is the rule for scaling probabilities to different time intervals: if both probabilities (the original one and the new one) are no larger than 0.1 (or 10%), then simply multiply the original probability by the ratio of the new time-interval to the original time-interval, to find the new probability. This rule is an approximation which breaks down if either of the probabilities is greater than 0.1. For example

1-in-200 year events

You often read or hear references to the ‘1-in-200 year event’, or ‘200-year event’, or ‘event with a return period of 200 years’. Other popular horizons are 1-in-30 years and 1-in-10,000 years. This term applies to hazards which can occur over a range of magnitudes, like volcanic eruptions, earthquakes, tsunamis, space weather, and various hydro-meteorological hazards like floods, storms, hot or cold spells, and droughts. ‘1-in-200 years’ refers to a particular magnitude. In floods this might be represented as a contour on a map, showing an area that is inundated. If this contour is labelled as ‘1-in-200 years’ this means that the current rate of floods at least as large as this is 1/200 /yr, or 0.005 /yr. So if your house is inside the contour, there is currently a 0.005 (0.5%) chance of being flooded in the next year, and a 0.025 (2.5%) chance of being flooded in the next five years. The general definition is this: ‘1-in-200 year magnitude is x’ = ‘the current rate for eve

Coconuts and climate change

Before pursuing an MSc in Climate Change Science and Policy at the University of Bristol, I completed my undergraduate studies in Environmental Science at the University of Colombo, Sri Lanka. During my final year I carried out a research project that explored the impact of extreme weather events on coconut productivity across the three climatic zones of Sri Lanka. A few months ago, I managed to get a paper published and I thought it would be a good idea to share my findings on this platform. Climate change and crop productivity There has been a growing concern about the impact of extreme weather events on crop production across the globe, Sri Lanka being no exception. Coconut is becoming a rare commodity in the country, due to several reasons including the changing climate. The price hike in coconuts over the last few years is a good indication of how climate change is affecting coconut productivity across the country. Most coconut trees are no longer bearing fruits and thos

Cabot Institute for the Environment blog

Search This Blog