Disaster Risk Gateway - User contributions [en]

Demystifying copulas: An interactive lesson

2024-06-25T17:15:02Z

Jkh34: Created page with "<div style="text-align:justify"> '''Year of publication''': 2024 '''Access''': Open '''Link''': https://zenodo.org/records/12533412, https://doi.org/10.5281/zenodo.12533412 '''Organisation(s) / Author(s)''': John Hillier, Loughborough Univeristy '''Description''' An EXCEL-based exploration, creating your first copula in a step-by-step exercise. Then, using this to understand how correlation affects joint risk in multi-hazard / compound risk scenarios through simulat..."

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'''Year of publication''': 2024

'''Access''': Open

'''Link''': https://zenodo.org/records/12533412, https://doi.org/10.5281/zenodo.12533412

'''Organisation(s) / Author(s)''': John Hillier, Loughborough Univeristy

'''Description'''

An EXCEL-based exploration, creating your first copula in a step-by-step exercise. Then, using this to understand how correlation affects joint risk in multi-hazard / compound risk scenarios through simulation.

'''Technical considerations'''
None

'''Keywords'''

Copula, Insurance, Risk correlation, Natural hazard, Dependency, Co-occurring hazards, Compound risk

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Know your correlation: An interactive game

2024-06-25T16:47:35Z

Jkh34: A dice-rolling game, simulating 6 causes of loss (i.e. possible hazards) and how dependency affects the chance of loss exceeding a threshold.

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'''Year of publication''': 2024

'''Access''': Open

'''Link''': https://zenodo.org/records/12532855, https://doi.org/10.5281/zenodo.12532855

'''Organisation(s) / Author(s)''': John Hillier, Loughborough Univeristy, UK

'''Description'''
Summary of activity: A dice-rolling game, simulating 6 causes of loss (i.e. possible hazards) and how dependency affects the chance of loss exceeding a threshold.

Why is the training important: In short, because diversification is the basis of all (re)insurance, and correlation (a.k.a. dependency) destroys diversification. So, it’s fundamental. If we get dependency wrong, we mis-estimate risk, mis-price risk etc ….

'''Technical considerations'''

None

'''Keywords'''

Insurance, Risk correlation, Natural hazard Dependency, Co-occurring hazards, Compound risk

Back to '''[[Multi-hazard Risk Assessment|<span style="color: #374CFF">Multi-hazard Risk Assessment]]'''
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Co-RISK

2024-05-23T14:53:32Z

Jkh34:

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'''Year of publication''': 2024

'''Access''': Freely available to download from journal website

'''Link''': https://gc.copernicus.org/articles/7/35/2024/

'''Organisation(s) / Author(s)''': John Hillier (Loughborough University, UK) and Michiel van Meeteren (Utrecht University, Netherlands)

'''Description'''

Co-RISK is a free paper-based ‘toolkit’ to help you better translate new science into your decision-making by co-designing (i.e. between university scientists and industrial or governmental partners) viable multi-disciplinary projects. Working together is not easy, and Co-RISK will accelerate the process for you by learning from and building on experience. It’s the way an experienced, knowledgeable group would do it if they were doing it again, instead of using a more ad hoc approach and relying on long-established trusting relationship to create success.
The toolkit consists of material (e.g. presentation, facilitators notes) for use in a workshop setting, facilitating project creation by multiple key actors (regulator, industrial partner, local policy group university-based scientist etc ….). Key outcomes of each workshop will be:

• Jointly established list of the 10 questions of interest in the workshop’s focus area.

• 2-3 draft projects frameworks (detail, but no sensitive information) to be shared by participants.

• Raised awareness of other actors’ needs and motivations.

A full description and evaluation example is giving in the journal article (https://gc.copernicus.org/articles/7/35/2024/). This was on the subject of ‘UK co-occurring natural hazard insurance risks’, but it is appliable to other countries and sectors.
Joint endeavours enabled by Co-RISK could fulfil the genuine need to quickly convert the latest insights from environmental research into real-world climate change adaptation strategies.

'''Technical considerations'''

Very few. This is an open access, free ‘toolkit’ consisting of the Powerpoint slides and guidance notes to run a workshop. The ‘Maps’ to be filled in either need to be printed out, or the Powerpoint/pdf versions might be edited by an online tool of choice.

'''Keywords'''

Multi-hazard risk; stakeholder; collaboration; project co-design

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Co-RISK

2024-05-23T14:50:18Z

Jkh34: Created page with "<div style="text-align:justify"> '''Year of publication''': 2023 '''Access''': Open '''Link''': https://zenodo.org/records/8282815 '''Organisation(s) / Author(s)''': Tristian Stolte, Elco Koks, Hans de Moel, Lena Reimann, Jasper van Vliet, Marleen de Ruiter, Philip Ward Institute for Environmental Studies - Vrije Universiteit Amsterdam (IVM-VU) '''Description''' VulneraCity is a database of unique urban vulnerability drivers for six different hazards (Coastal floodi..."

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'''Year of publication''': 2023

'''Access''': Open

'''Link''': https://zenodo.org/records/8282815

'''Organisation(s) / Author(s)''': Tristian Stolte, Elco Koks, Hans de Moel, Lena Reimann, Jasper van Vliet, Marleen de Ruiter, Philip Ward
Institute for Environmental Studies - Vrije Universiteit Amsterdam (IVM-VU)

'''Description'''

VulneraCity is a database of unique urban vulnerability drivers for six different hazards (Coastal flooding, Pluvial flooding, Earthquakes, Heatwaves, Drought, Waterborne diseases), providing descriptions, classifications, and sources. Next to the drivers, VulneraCity contains several examples of directional vulnerability dynamics. The drivers and dynamics are collected from over 450 individual studies, based on a systematic literature review.

A ''vulnerability driver'' is a feature that could alter the vulnerability of an (urban) area to a natural hazard. This is different from a ''vulnerability indicator'', which is a measure to operationalize or quantify vulnerability. For instance, poverty would be a driver of vulnerability, of which an indicator could be the number of people below the poverty line.

'''Technical considerations'''

-

'''Keywords'''

VulneraCity; Vulnerability; Urban; Cities; Disaster risk; Vulnerability dynamics

Back to '''[[Multi-hazard Risk Assessment|Multi-hazard Risk Assessment]]'''
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