#CabotNext10 Spotlight on Natural Hazards & Disaster Risk

 

Dr Ryerson Christie

In conversation with Dr Ryerson Christie, theme lead at the Cabot Institute

Why did you choose to become a theme leader at Cabot Institute?

Obviously with a decision such as this, there are numerous reasons informing our choices. However, there are three specific factors that were central to my agreeing to take this on.  First, and foremost, I am passionate about the theme.  Secondly, I have personally benefited from the work of the Cabot Institute, and as such I feel a responsibility to contribute back to the research institute.  Finally, while I have always seen value in interdisciplinarity, my own research on disasters has convinced me of the fundamental importance in increasing the ties between academic disciplines.  I should add as well that I would not have agreed to take on this role if I didn’t enjoy the people I am able to work with.

In your opinion, what is one of the biggest global challenges associated with your theme?

There are a multitude, and identifying one is difficult.  The nature of our area of focus, on natural hazards and disasters, means that we are dealing with the complex interface between geophysical processes, a changing climate, and societies.  Work across the working group relates to everything from seeking to better understand the science behind natural hazards, to how we can better design and maintain physical infrastructure, to how states and communities can reduce the potential impact of hazards.  However, if I have to pick one specific global challenge, it is how we can ensure that development can take place in a way that reduces vulnerabilities in a way that privileges the local voices in these paramount policy decisions.

As we are looking into the future, what longer term projects are there in your theme?

In a way that longer term projects that we will be undertaking in the years to come are no different from the ones in which we are currently engaged.  However, the impact of climate change is going to make the importance of these issues all the more acute.  So, we will be exploring in greater depth the intersectionality of vulnerabilities to disasters, expanding our geographic focus, and seeking further interdisciplinary approaches to these questions.

We have a number of ongoing research projects across Bristol, and I will note a few here:

Tomorrow’s Cities – The University of Bristol has a central role in this Global Challenges Research Fund (GCRF) Hub project, which is working with partners in Istanbul, Nairobi, Kathmandu, and Quito. The aim is to better understand disaster risk in the rapidly urbanising environment with the aim to ensure that future city development is resilient and addresses underlying drivers of disaster risk.

UK Flood Impacts project – This project is seeking to produce more accurate projections of the nature of UK flood risk which is crucial to ensure that policy decisions on mitigation, adaptation and development are fit for purpose.

Helping East Africa get Earthquake-Ready – focused on the East African Rift, this project is seeking to develop usable risk assessment tools to assist Malawi in disaster preparedness.  The project will also work with local authorities to co-produce planning guidelines to ensure development is resilient. A new statistical tool is being developed to help identify and help the most vulnerable sectors of society within disaster effected states.

Across the portfolio of projects in your theme, what type of institutions are you working with? (For example, governments, NGO’s)

The work that has been taking place within the hub has been extraordinary in the breadth of partners involved in the activities.  Crucially, the work is not only about targeting and helping states and communities, but it is motivated by a drive to empower communities and governments in alleviating disaster risk.  This means that the range of partners are actively involved in the entire life cycle of projects, from the identification of problems, co-designing research projects, the collection, interpretation and writing up of research, and the development and implementation of policy.  We actively work with local communities, social movements, and Non-Governmental Organizations (both local and international), all levels of Government, as well as regional and international organizations.

Please can you give some examples and state the relevant project

Tomorrow’s Cities is an exemplar here, where we are partners include community groups and formal NGOs in Quito, academics at FLACSO, the Instituto Geofisico, local and city level government representatives, and professional bodies representing engineers.  Without bringing all of these actors together we would not be able to fully appreciate the complexity of the problems, let alone develop and implement effective policies to reduce disaster risk.

What disciplines are currently represented within your theme?

We have been drawing on a broad range of disciplines, including Economics, Modern Languages, Sociology, Politics, Law, History, Civil Engineering, Geography, and the Earth Sciences.

In your opinion, why is it important to highlight interdisciplinary research both in general and here at Bristol?

The only way to redress the complex problems posed by natural hazards, is by bringing together the skills and expertise across the breadth of academia.  We can not bring about positive change by working in silos, and interdisciplinarity, while sometimes difficult, is fundamental.  We all come at the problems with different perspectives, tools and indeed language.  But we are all working for the same common ideal, of improving the lives of people, of reducing disaster risk, and doing so in a way that is empowering and sustainable.

Are there any projects which are currently underway in your theme which are interdisciplinary that you believe should be highlighted in this campaign?

All of our projects are interdisciplinary to one degree or another.  To highlight one in this respect is very difficult.  I suppose, if pushed, I would point to the work of the Tomorrow’s Cities team.  I would also like to highlight a previous project, BRACE, which was innovative in its integration of history, seismology, education, and engineering in a focused project seeking to increase resilience to Earthquakes in Bhutan.

Is there anything else you would like to mention about your theme, interdisciplinary research and working as part of Cabot Institute?

As with other working groups, our activities crosscut the breadth of Cabot and drawing lines between this working group and others is exceptionally difficult.  Cabot has been a fantastic catalyst to our work, and it is likely that little of these endeavours would have been possible without the support of the research institute.

For more information, visit Natural Hazards and Disaster Risk.

The case for case studies: a natural hazards perspective

As I wander the streets of Easton, as I have done over the last 18 months, the landscape becomes more and more familiar. Same streets, same skies. Things seem flat and still.

Living in this mundane landscape, I find it hard to believe that we live on a turbulent, roiling planet. But the Earth is not flat or still! Natural events happen daily, and extreme climatic events continue to escalate – although all we see in England is a rainy July. Some people are more vulnerable to the Earth’s vicissitudes than others. Since 2021 began, volcanoes in the Democratic Republic of Congo, Italy, Guatemala, and Iceland have erupted, and hurricanes have already gathered pace in the Atlantic. Many of these events have caused disaster for people living in these areas, losing homes, livelihoods, and lives.

Disasters erode and destroy, they leave scars and memories. We are fascinated by them: we seek to understand and to explain. How can we best do that? The case study is one way. Because of its in-depth nature, a case study is well-suited to describe disasters caused by natural hazards (earthquakes, volcanoes, landslides, floods, droughts), allowing us to tell a rich and nuanced story of events. However, we have to be prudent. There are many more natural hazards than we have scope to investigate. A good subject for a case study offers the possibility of new insights that other, limited methods have missed. Many, many times an earthquake or flood does not cause disaster. In choosing a good subject for a case study, we are looking for that event which is particularly interesting to us, and which we hope can tell us new things.

I am currently working on three case studies of disasters in Guatemala. Why and how did the disasters happen?

Coming from an Earth Sciences background, I’m not sure where to begin. There are no obvious blueprints. Why is there so little guidance on how to do a case study in our field? I think there are two reasons. Earth Sciences has always generously included other physical and social sciences (physics, chemistry, mathematics, geography), while a disaster caused by natural hazards involves both physical and social factors. So while this supports disaster’s suitability to the case study method, both science and subject use multiple philosophies and methods. It’s harder to make a cookbook with mixed methods. Secondly, Earth Sciences looks at the mutual interaction between people and nature, who operate on different timescales. Tracing a disaster through a case study requires uniting these timescales in a single narrative. That union is a difficult task and often context-specific, so not generalizable to a single blueprint. (Strangely, in an interdisciplinary case study of a disaster it’s the physical scientists who seem to study events over shorter timescales, for example on the physical triggers of a volcanic eruption. A few years ago in my undergraduate I remember tracing the story of Earth’s evolution across billions of years; now we’re operating over days and hours!)

There have been many criticisms levelled at case study research: that you can’t generalize from a single case, that theoretical knowledge is more valuable than practical knowledge, that case studies tend to confirm the researcher’s biases [1]. I have also read that case studies are excellent for qualitative research (e.g., on groups or individuals), but less so for quantitative research (e.g. on events or phenomena) [2]. I think these points are rubbish.

“You can’t generalize from a single case”, goes the argument against case studies. But generalization is not the point of a case study. We want to go deeper, to know more intimately, to sense in full colour. “Particularization, not generalization” is the point [1], and  intimate knowledge is worthwhile in itself. However, I also think the argument is false. Because it is such a rich medium, the case study affords us a wealth of observations and thus interpretations that allow us to modify our existing beliefs. As an example, a case study of the Caribbean island of Montserrat during an eruptive crisis showed Montserratians entering the no-go zone, risking their lives from the volcano to care for their crops and cattle [3]. This strongly changed the existing reasoning that people would prioritize their life over their livelihood during a volcanic eruption. How could you deny that this finding is not applicable beyond the specific case study? True, it isn’t certain to happen elsewhere, but the finding reminds us to research with caution and to challenge our assumptions. A case study might not give us a totally new understanding of an event, but it might refine our understanding – and that’s how most science progresses, both social and natural. This ‘refinement’ is also a balm for people like me who might be approaching a new case study with trepidation, concerned we might be going over old ground. Sure we might, but here we might forge a new path, there dig up fresh insights.

On the grounds of theoretical versus practical knowledge – we learn by doing! We are practical animals!

Context-dependent knowledge and experience are at the very heart of expert activity.

(Flyvbjerg, 2006) 

Does a case study confirm what we already expect to find? I think the possibility of refining our existing understanding can encourage researchers to keep our eyes open to distortions and bias. I think this final criticism comes from a false separation between the physical and social sciences. Qualitative research is held up as a contrast to “objective” quantitative research in the physical sciences, focussed on hypothesis-testing and disinterested truth. But any PhD student will tell you that the scientific process doesn’t quite work that way. Hypotheses are revised, created, and abandoned with new data, similar to how grounded theory works. And you can find any number of anecdotes where two scientists with the same data and methods came to two different interpretations. There is always some subjective bias as a researcher because (a) you’re also a human, and (b) because the natural world is inherently uncertain. (I wonder if this is an appeal for those who study pure maths – it’s the only discipline I can think of that is really objective and value-free).  Maybe qualitative/quantitative has some difference in the degree of researcher subjectivity. This would be a fascinating subject to explicitly include in those interdisciplinary case studies that involve both types of researcher – how does each consider their inherent bias towards the subject?

After flattening those objections above, I really want to make three points as to why case studies are so great.

First, they have a narrative element that we find irresistible. As Margaret Atwood said,

You’re never going to kill storytelling because it’s built into the human plan. We come with it.

A case study is not just a story, but it does have a story woven into its structure. Narratives are always partial and partisan; our case studies will be too. That’s not to say they can’t be comprehensive, just that they cannot hope to be omniscient. I love this quotation:

A story has no beginning or end: arbitrarily one chooses that moment of experience from which to look back or from which to look ahead.

Graham Greene, The End Of The Affair 

It certainly applies to case studies, too. We may find the roots of a disaster in political machinations which began decades before, or that the journey of a mudslide was hastened by years of deforestation. Attempting to paint the whole picture is futile, but you have to start somewhere.

Second, a case study provides a beautiful chance to both understand and to explain – the aims of the qualitative and the quantitative researcher, respectively. Each may approach truth and theory differently: the first sees truth as value-laden and theory to be developed in the field; the second, as objective and to be known before work is begun. It’s precisely because it’s difficult to harmonize these worldviews that we should be doing it – and the disaster case study provides an excellent arena.

Finally, the process of building a case study creates a space for dialogue. Ideas grow through conversation and criticism, and the tangle of researchers trying to reconcile their different worldviews, and of researchers reconciling their priorities with other interested people, seems both the gristle and the fat of case study research. In the case of disasters, I think this is the most important point which case study research wins. Research can uncover the most wonderful things but if it is not important to the people who are at risk of disaster, we cannot hope to effect positive change. How can we understand, and then how can we make ourselves understood? For all the confusion and frustration that it holds, we need dialogue [4]. A really beautiful example of this is the dialogue between volcano-watchers and scientists at Tungurahua volcano in Ecuador: creating a shared language allowed for early response to volcanic hazards and a network of friendships [5].

I’ve grappled with what products we should make out of these case studies. What are we making, and who are we making it for? From the above point, a valuable product of a case study can be a new relationship between different groups of people. This is not really tangible, which is hard to deal with for the researchers (how do you publish a friendship?) But a case study can produce a relationship that benefits both parties and outlasts the study itself. I think I’ve experienced this personally, through my work at Fuego volcano. I have found the opportunity to share my research and also to be transformed in my workings with local people. This has lasted longer than my PhD, I am still in touch with some of these people.

I believe in the power of case study to its own end, to create dialogue, and to mutually transform researcher and subject. And, if a new relationship is a valuable product of the case study, it is made stronger still by continued work in that area. To do that, the relationships and the ties that bind need to be supported financially and socially across years and uncertainty, beyond the current grey skies and monotony. When we are out, we will be able to renew that dialogue in person and the fruits of our labour will blossom.

[1] Flyvbjerg, 2006

[2] Stake, 1995

[3] Haynes et al., 2005

[4] Barclay et al., 2015

[5] Armijos et al., 2017

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This blog is written by Cabot Institute for the Environment member Ailsa Naismith from the School of Earth Sciences at the University of Bristol. Ailsa studies volcanic hazards in Central America.

Ailsa Naismith

 

 

The social animals that are inspiring new behaviours for robot swarms

File 20190326 36252 wdqi1n.jpg?ixlib=rb 1.1
Termite team.
7th Son Studio/Shutterstock

From flocks of birds to fish schools in the sea, or towering termite mounds, many social groups in nature exist together to survive and thrive. This cooperative behaviour can be used by engineers as “bio-inspiration” to solve practical human problems, and by computer scientists studying swarm intelligence.

“Swarm robotics” took off in the early 2000s, an early example being the “s-bot” (short for swarm-bot). This is a fully autonomous robot that can perform basic tasks including navigation and the grasping of objects, and which can self-assemble into chains to cross gaps or pull heavy loads. More recently, “TERMES” robots have been developed as a concept in construction, and the “CoCoRo” project has developed an underwater robot swarm that functions like a school of fish that exchanges information to monitor the environment. So far, we’ve only just begun to explore the vast possibilities that animal collectives and their behaviour can offer as inspiration to robot swarm design.

Swarm behaviour in birds – or robots designed to mimic them?
EyeSeeMicrostock/Shutterstock

Robots that can cooperate in large numbers could achieve things that would be difficult or even impossible for a single entity. Following an earthquake, for example, a swarm of search and rescue robots could quickly explore multiple collapsed buildings looking for signs of life. Threatened by a large wildfire, a swarm of drones could help emergency services track and predict the fire’s spread. Or a swarm of floating robots (“Row-bots”) could nibble away at oceanic garbage patches, powered by plastic-eating bacteria.

A future where floating robots powered by plastic-eating bacteria could tackle ocean waste.
Shutterstock

Bio-inspiration in swarm robotics usually starts with social insects – ants, bees and termites – because colony members are highly related, which favours impressive cooperation. Three further characteristics appeal to researchers: robustness, because individuals can be lost without affecting performance; flexibility, because social insect workers are able to respond to changing work needs; and scalability, because a colony’s decentralised organisation is sustainable with 100 workers or 100,000. These characteristics could be especially useful for doing jobs such as environmental monitoring, which requires coverage of huge, varied and sometimes hazardous areas.

Social learning

Beyond social insects, other species and behavioural phenomena in the animal kingdom offer inspiration to engineers. A growing area of biological research is in animal cultures, where animals engage in social learning to pick up behaviours that they are unlikely to innovate alone. For example, whales and dolphins can have distinctive foraging methods that are passed down through the generations. This includes forms of tool use – dolphins have been observed breaking off marine sponges to protect their beaks as they go rooting around for fish, like a person might put a glove over a hand.

Bottlenose dolphin playing with a sponge. Some have learned to use them to help them catch fish.
Yann Hubert/Shutterstock

Forms of social learning and artificial robotic cultures, perhaps using forms of artificial intelligence, could be very powerful in adapting robots to their environment over time. For example, assistive robots for home care could adapt to human behavioural differences in different communities and countries over time.

Robot (or animal) cultures, however, depend on learning abilities that are costly to develop, requiring a larger brain – or, in the case of robots, a more advanced computer. But the value of the “swarm” approach is to deploy robots that are simple, cheap and disposable. Swarm robotics exploits the reality of emergence (“more is different”) to create social complexity from individual simplicity. A more fundamental form of “learning” about the environment is seen in nature – in sensitive developmental processes – which do not require a big brain.

‘Phenotypic plasticity’

Some animals can change behavioural type, or even develop different forms, shapes or internal functions, within the same species, despite having the same initial “programming”. This is known as “phenotypic plasticity” – where the genes of an organism produce different observable results depending on environmental conditions. Such flexibility can be seen in the social insects, but sometimes even more dramatically in other animals.
Most spiders are decidedly solitary, but in about 20 of 45,000 spider species, individuals live in a shared nest and capture food on a shared web. These social spiders benefit from having a mixture of “personality” types in their group, for example bold and shy.

Social spider (Stegodyphus) spin collective webs in Addo Elephant Park, South Africa.
PicturesofThings/Shutterstock

My research identified a flexibility in behaviour where shy spiders would step into a role vacated by absent bold nestmates. This is necessary because the spider colony needs a balance of bold individuals to encourage collective predation, and shyer ones to focus on nest maintenance and parental care. Robots could be programmed with adjustable risk-taking behaviour, sensitive to group composition, with bolder robots entering into hazardous environments while shyer ones know to hold back. This could be very helpful in mapping a disaster area such as Fukushima, including its most dangerous parts, while avoiding too many robots in the swarm being damaged at once.

The ability to adapt

Cane toads were introduced in Australia in the 1930s as a pest control, and have since become an invasive species themselves. In new areas cane toads are seen to be somewhat social. One reason for their growth in numbers is that they are able to adapt to a wide temperature range, a form of physiological plasticity. Swarms of robots with the capability to switch power consumption mode, depending on environmental conditions such as ambient temperature, could be considerably more durable if we want them to function autonomously for the long term. For example, if we want to send robots off to map Mars then they will need to cope with temperatures that can swing from -150°C at the poles to 20°C at the equator.

Cane toads can adapt to temperature changes.
Radek Ziemniewicz/Shutterstock

In addition to behavioural and physiological plasticity, some organisms show morphological (shape) plasticity. For example, some bacteria change their shape in response to stress, becoming elongated and so more resilient to being “eaten” by other organisms. If swarms of robots can combine together in a modular fashion and (re)assemble into more suitable structures this could be very helpful in unpredictable environments. For example, groups of robots could aggregate together for safety when the weather takes a challenging turn.

Whether it’s the “cultures” developed by animal groups that are reliant on learning abilities, or the more fundamental ability to change “personality”, internal function or shape, swarm robotics still has plenty of mileage left when it comes to drawing inspiration from nature. We might even wish to mix and match behaviours from different species, to create robot “hybrids” of our own. Humanity faces challenges ranging from climate change affecting ocean currents, to a growing need for food production, to space exploration – and swarm robotics can play a decisive part given the right bio-inspiration.The Conversation

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This blog was written by Cabot Institute member Dr Edmund Hunt, EPSRC Doctoral Prize Fellow, University of BristolThis article is republished from The Conversation under a Creative Commons license. Read the original article.

Edmund Hunt

Learning lessons from Fukushima

When disasters happen scientists pretty much have a duty to try to understand what happened and why, and to try to learn the lessons. This week the catastophist Gordon Woo of Risk Management Solutions gave a seminar here at the Cabot Institute and suggested that the question that we should really ask is not “why did this happen?” but “why did this not happen before?”. This is also one of the ideas that emerged from a recent exercise that we undertook to try to understand the recent events at the Fukushima nuclear power plant in Japan. The range of skills available within Cabot allowed us to take a fundamentally holistic approach to the analysis that wouldn’t have been possible for any single individual. The results of the analysis are here, but two main points emerge.

First, there is the need to tackle is “chained” or “cascaded” hazards, which, as very low probability events, have traditionally been treated as independent random events and hence have too low a likelihood of coinciding together. There may be hidden dependencies, which are not always either obvious or intuitive, requiring careful analysis to tease out or recognise. This is particularly the case for complex infrastructure like nuclear power stations.

Second, it is no longer adequate to rely on deterministic assessments of hazards and risks from natural hazards as these cannot account properly for uncertainty. Dealing with uncertainty requires a probabilistic analysis that looks at the full range of possible situations that may arise, not just a single one that a company or regulator has (perhaps somewhat arbitrarily) decided is the ‘worst case’. Probabilistic approaches should now be regarded as mandatory, and application of rigorous, structured approaches to assessing risk are needed. Such assessments must include evaluation of all credible alternative models for natural processes, rather than just adopting particular models that happen to support inherited views.