HACKATHON 2025

Applications close – 14 April 2025

Introduction

Our 2025 Hackathon brings together researchers and practitioners to investigate questions related to climate model data, and especially tropical cyclones, of relevance for the reinsurance industry (companies who insure insurers).

One specific question of interest is what is the probability of landfalling hurricanes on the south-east coast of the US within the same tropical cyclone season as landfalling typhoons in Japan, which is of interest to reinsurers who need a global perspective on risk.

Using observations (including re-analysis), decadal and open-source stochastic datasets this will be investigated from a historical, counterfactual, and statistical perspective. In addition, we will also explore whether probabilities of correlated events can be inferred for the next 5-10 years.

Improving our understanding of the global relationships between tropical cyclones is a key area of research for the reinsurance industry. This hackathon brings together academics and industry to re-address this topic, combining the latest science and methodology to provide the latest insights, and more detailed information to the industry.

The Challenge

Objective

This is an exploratory in-person hackathon to determine whether we can improve our understanding of multi-hazards/compound events that are relevant to the reinsurance industry, with a focus on tropical cyclones.  

Historic reinsurance losses show that the industry has not experienced a year where landfalling hurricanes in the USA and typhoons in Japan have occurred. But have we been lucky, or is there a meteorological reason why we shouldn’t expect this to happen?

The purpose of this work is to help the reinsurance industry understand what the probability of these events co-occurring is, and what that probability may be for the next 5-10 years. 

In addition to this primary question, participants may look at other aspects of tropical cyclone data and/or their driving conditions (e.g. tropical temperatures, El Niño index), providing useful information of potential interest to the reinsurance industry.

There are several outcomes of interest to the reinsurance industry:

  1. What data and science is needed to improve our view of co-occurring tropical cyclones globally, historically and in the current changing climate
  2. A more comprehensive view of the probability of landfalling tropical cyclones in the US and Japan within a tropical cyclone season.
  3. What has been the historical probability of US landfalling hurricanes and Japan landfalling typhoons occurring within the same tropical cyclone season?
  4. Can we take a counterfactuals approach to this question and re-evaluate this probability?
  5. Can we use decadal forecast data to evaluate this probability, and the probability of landfalling tropical cyclones in general, for the next 5 years?
  6. Improved collaboration between the reinsurance industry, academia and the research community, through highlighting the research topics and approaches of the reinsurance industry Identification of the data, tools or approaches needed to understand the impacts of climate change on these views.

The reinsurance industry provides insurance for the insurance companies who insure the individual, underpinning the insurance of homes, businesses, and other assets Reinsurance works by diversifying the risk, with global reinsurance companies relying on key perils not co-occurring or having a very low probability of co-occurring.

The broad context is the increasing interest in the (re)insurance market to look beyond the historical record and the current generation of risk models (catastrophe models) used in the industry to ensure a more accurate and realistic view of the risk. The industry has long had strong collaborations with academia to ensure the latest science and data is pulled through into their  view of risk, and are always looking to increase their understanding of the natural hazards.

In this hackathon, we can cover a range of issues related to tropical cyclones, but one major theme will be to consider a theoretical reinsurance company who insures a company who has a high risk from hurricanes in the US and a company who has a high risk from typhoons in Japan. Assuming that there is an extremely low probability of getting a reinsurance loss from a hurricane and a typhoon in the same year, this allows them to provide reinsurance to both these companies. Loss data from the past 24 years suggests that these two natural hazards have a low probability of co-occurrence: there has not been an occasion where a reinsurance loss-driving hurricane and  a reinsurance loss-driving typhoon has occured within the same tropical cyclone season. The question for this hackathon is whether the reinsurance industry has been “lucky” or whether there is  a reason why they haven’t experienced such losses.

Are global natural catastrophe events correlated, or anti-correlated? As noted above, the loss history of landfalling North Atlantic hurricanes and landfalling typhoons, as well as severe convective storms and wildfires, suggests there is no correlation between these losses – we see a consistent number every year.

However, is this statistical luck or are there meteorological drivers? Is there a counterfactual example where this isn’t the case? Can decadal forecasts inform us of the risk of these potential correlations in the next 5-10 years as the climate continues to change? What is needed to understand the impact of climate change  on this view?

In the hackathon, we want to address the following specific questions:

  • What is the probability of a hurricane making landfall on south-east coast of the US in the same year as a typhoon making landfall on Japan?
  • Is there a correlation between typhoon activity near Japan and hurricane activity in the North Atlantic?
  • Do the number of active tropical cyclones in each basin significantly vary depending on the dataset used (e.g., observations vs historical climate runs vs UNSEEN)?
  • Does this view change depending on the dataset used, e.g. reanalysis, ensemble reanalysis and stochastic datasets?
  • What information can we get from decadal forecasts about activity in each basin for the next 5-10 years?

About the Hackathon

Benefits of participating

Go beyond your usual routine, acquire new skills and knowledge, and connect with experts to expand your network.

The Hackathon is an opportunity to apply your skills, generating novel solutions to real-life industry challenges and working directly with companies in insurance and risk.

Over two days in Leeds you’ll compete with other teams to tackle interesting and highly-relevant climate/insurance challenges. This will include chances to learn from and build your network with experts, specialists and peers.

Your ideas and solutions can help the (re)insurance industry look beyond the historical record and the current generation of risk models (catastrophe models) used in the industry to ensure a more accurate and realistic view of evolving risks under climate change.

  • Participants from commercial organisation: a nominal registration fee of £100 to secure their place.
  • Participants from HE and non-for-profit research centres: no fee

Onboarding email

4-5 weeks prior
to hackathon

Guidance on how to access the platform and any background reading or research that may help you during the hackathon.


Onboarding webinar

2-3 week prior
to hackathon

The onboarding webinar will introduce the challenge, feature science talks, and demo the platform's tools and datasets.


Hackathon
10th June

Day 1
in-person

Welcome to Day 1 of 2
Challenge introduction
Tools & resources
Hacking time
Networking reception

Refreshments and lunches are provided

Hackathon
11th June

Day 2
in-person

Welcome to Day 2 of 2
Hacking time
Pitch presentations
Awards dinner

Refreshments and lunches are provided

Participants from academia, non-for-profit, and industry are welcome. As this is a technical hackathon all participants should have experience coding in R/Python.

Teams of 3 to 6 members, as well as individual applicants, are encouraged to apply. Individual applicants will be assigned to new teams formed by the selection panel.

A maximum of six teams will be chosen to compete in the challenge, fostering collaboration and diverse problem-solving approaches for a dynamic and engaging competition.

Tools

The following will be available:

  • IBTrACS historical TC tracks
  • ERA5 reanalysis data from 1940 to present day we will provide some raw model data as well as TC-tracked datasets)
  • IRIS (Imperial Storm College Model) – 10,000 years of synthetic simulated TC data
  • Decadal climate model raw data (to allow participants to explore the ENSO index and other potential drivers of TC activity) and TC-tracked datasets from DePreSys, d4pdf and the HiResMIP project
  • Exposure and impact data from LitPop and EMDAT
Datasets

We will provide a software stack with libraries capable of performing analysis on all provided datasets using both Python and R scripting languages. The libraries included will allow participants to read, manipulate, perform statistics on and visualise the data.

At the end of day two, teams will be allocated 10-15 minutes to pitch their findings to a judging panel, who will evaluate their presentations. 

The winners will be announced during the awards dinner.

Cloth Hall Court

Quebec Street, 

Leeds, 

LS1 2HA

Any new intellectual property (IP) created during the event will be dedicated to the public domain. This means that the IP can be freely used, shared, and built upon by anyone without any restrictions or the need for permission. This approach encourages open collaboration and innovation, allowing the broader community to benefit from and contribute to the ideas generated during the event.

The organisers reserve the right to document and disseminate findings from the hackathon through various channels. This includes, but is not limited to:

  • Publications: Academic papers, research articles, and reports.
  • Write-ups: Blog posts, newsletters, and online articles.
  • Communication Materials: Social media updates, press releases, and promotional content.
 

By participating in the hackathon, you acknowledge and agree that your contributions may be included in these outputs, with appropriate credit given to all contributors. This helps to share the knowledge and innovations generated during the event with a broader audience, fostering further collaboration and impact for the insurance sector as a whole.

Picture of Patricia Grant  - Leeds Innovation Hub Manager

Patricia Grant - Leeds Innovation Hub Manager

UK CGFI Leeds │ University of Leeds
Contact: p.grant@leeds.ac.uk

Partners

You’ll work with leading experts from academia, government and industry during the Hackathon. See below for more on our expert contributors, and the event partners co-designing the challenge.

Applications

How to apply

Applications will open here on 17th February and close 14th April 2025.

Before applying, please check the eligibility criteria below.

All participants must be able to attend the Hackathon in-person in Leeds, 10-11th June 2025, 09:00-21:00 each day.

The hackathon’s selection panel will review applications to finalise already formed teams and new teams of assigned individual participants. 

Ready to apply?

Individual and team applications will be asked to include the following information in their application form:

  • Participant details: Include affiliations of all members.
  • Supporting statement: Summarise skills, experience and motivation in applying to join the Hackathon, and planned approach.
  • Funding request: Indicate if team members in higher education/research or not-for-profits would like to request travel funding.

Participants from academia, non-for-profit, and industry are welcome.

Team applications

    • Format: Teams should consist of 3-6 people.
    • Experience: Teams can include a mix of early-career and senior researchers, as well as industry financial risk practitioners.
    • Skills: As this is a technical hackathon, participants should have some experience with Python or R programming languages.

 

Individual applications

    • Format: Individuals can submit an application with the understanding that they will be assigned to a newly formed team of 3-6 members.
    • Experience: Applicants should be early-career / senior researcher or an industry financial risk practitioner.
    • Skills: As this is a technical hackathon, participants should have some experience with Python or R programming languages.

This hackathon may be of interest to professionals from the following disciplines:

  • Data Science
  • Programmers
  • Climate Risk Analysts
  • Finance/Insurance Professionals specialising in climate change risks
  • Climate Researchers
  • 17th February - Open call for applications
  • 14th April - Close call for applications
  • 28th April - Successful teams notified and invited to the onboarding webinar
  • 5th May - Teams to confirm participation (propr to)
  • May - Onboarding email
  • May - Onboarding webinar
  • 10-11th June - Hackathon in-person competition - Leeds, West Yorkshire
  • All applications will be reviewed by the selection panel.
  • Successful teams will be notified via email, and be asked to confirm acceptance with 7 days to secure their place.

A limited number of travel bursaries are available for those working in higher education or not-for-profit organisations. 

Each bursary can cover travel and accommodation costs up to a maximum of £500. 

For participants who have been awarded a travel bursary, the UK CGFI will directly pay the hotel for their bed and breakfast costs. All other travel expenses can be claimed post-event via the University of Leeds expense claims process.

Expenses claims must adhere to the University of Leeds policy:

  • Travel: Economy class only.
  • Accommodation: Hotel in Leeds, £100 per night bed and breakfast


When completing the application form, please indicate which team members would like to apply for support.

Please contact Trish Grant at p.grant@leeds.ac.uk regarding any access requirements or other queries.

FAQ

What is a hackathon?

A hackathon is a time-bound competitive event where teams of people collaborate to address a specific challenge(s).

Teams of 3 to 6 members, as well as individual applicants, are encouraged to apply. Individual applicants will be assigned to new teams formed by the selection panel.

Each team will need:

  • Laptop(s) to access the provided platform, tools, and datasets. 
  • Use their presentation software, such as MS PowerPoint, to pitch their innovative solution to the judging panel.

It is free to participate. 

The winners will receive personalised Certificates of Achievement and recognition on our UK CGFI’s website and  social media platforms, providing valuable recognition and opportunities that enhance their professional growth and visibility.

Yes, there will be mentors and technical support available during the hackathon. A number of them will be in the room to assist participants throughout the event.

During the day, 11 hours have been allocated for hacking time. Teams are also welcome to continue hacking outside these hours if they wish.

Prior to the hackathon, participants will receive information via onboarding email and webinar to help them prepare. This will include the latest scientific insights, suggested reading, and an opportunity to ask questions.

Teams will be given the opportunity to familiarise themselves with the provided platform, tools, and datasets.

To help the team get the most from the two-day hackathon, we encourage them to coordinate and set realistic goals

and be ready to hit the ground running from day one!

 

On the day, participants will be provided with access to the platform, tools, datasets, flip chart, and Wi-Fi. 

Also provided are refreshments, lunches, a networking reception on day one, and dinner on day two.

There is a provisional block booking at a hotel – secured a standard rate for three nights accommodation, from 9th – 12th June.

Details will be shared with participants who have been select to partake in the hackathon. Participants will then need to book their hotel directly and make payment.

Alternatively, participants may choose to book at another hotel.

Sponsors

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