14 April 2026

8:00 a.m.

Registration and Networking Breakfast

9:00 a.m.

Opening Remarks

Michael Robustelli, Senior Managing Director, Aon

9:05 a.m.

Roadmap to Risk Advantage: Impact Forecasting for (Re)Insurers

Adam Podlaha, CEO, Impact Forecasting

Gain an exclusive look at what’s next for Impact Forecasting as we unveil the innovations, enhancements, and strategic priorities that will define the year ahead. Discover how upcoming features and capabilities will empower you to anticipate risks, harness data-driven insights, and stay ahead in an evolving landscape. Be the first to see what’s on the horizon—and how it can transform your approach to modelling and resilience.

9:30 a.m.

Cracking the Code on High Frequency Perils: Elevating Underwriting, Portfolio and Capital Decisions

Monica Ningen, CEO of U.S. P&C Reinsurance, Swiss Re

Explore the growing challenge that high-frequency, secondary perils—especially severe convective storms and wildfires—pose to property portfolios, including loss volatility, earnings drag, and pricing adequacy. We will discuss the latest data, models and analytical techniques available to better capture hazard, exposure, and vulnerability for these perils, and to quantify their impact on pricing and capital. The session will outline practical underwriting and portfolio management levers to manage concentration and tail risk.

10:00 a.m.

Balancing History and Hindsight: A Case Study in Tackling Recency Bias

Katie Carter, Head of View of Risk Advisory - Americas, Aon’s Reinsurance Solutions

Benchmarking catastrophe model loss against experience is essential but challenging — especially for perils like severe convective storm and wildfire. Using longer loss histories can introduce uncertainty due to exposure shifts, climate change and loss trending. Meanwhile, only focusing on recent loss experience may introduce recency bias, whether from unusually quiet periods or rare large events. So, where do you draw the line between long history and fresh signals? Using the 2020 Iowa Derecho, the 2025 Palisades and Eaton wildfires, this session will explore how to recognize and address recency bias, and validate whether a catastrophe model truly reflects the risk.

10:30 a.m.

Refreshment Break

11:00 a.m.

Rethinking Resilience with the Next Generation of Hurricane Models

Jeff Gall, Regional Manager and Senior Scientist Meteorology, RenaissanceRe | Eric Robinson, Head of U.S, Research and Development, Impact Forecasting | Radovan Drinka, Global Head of Tropical Cyclone Model Development, Impact Forecasting | Chia-Ying Lee, Lamont Associate Research Professor, Lamont-Doherty Earth Observatory, Columbia University

Explore how next-generation hurricane models are reshaping resilience strategies. Learn about breakthroughs in high-resolution climate data, advanced intensity and rainfall modeling, and integrated surge and flood risk. Discover how AI-driven frameworks and expanded event sets help (re)insurers anticipate tail risk, rapid intensification and climate-driven landfall shifts. Gain practical insights for underwriting, portfolio management, and resilience planning, plus an exclusive preview of Impact Forecasting’s new hurricane model.

11:45 a.m.

The Charge Towards Enhanced Event Response Solutions

Dan Hartung, Head of Event Response, Aon | Michal Lorinc, Head of Catastrophe Insight, Impact Forecasting

In 2025, weather events accounted for $127B of insured losses. When disaster strikes, time is of the essence – to protect people, property and restore critical services. To do so, insurers require real-time event data so they’re better informed and better equipped to support customers, when they need it the most. In this session, we’ll reflect on the lessons learned from the catastrophe events of 2025, how Impact Forecasting is expanding our Automated Event Response suite which now includes U.S. SCS, and unveil Aon’s Event Analytics platform to help clients streamline event response workflows when it matters most.

12:15 a.m.

Catastrophe Conundrums Quiz

Antonio Elizondo, Senior Scientist - Catastrophe Insight, Impact Forecasting | Ashwin Joseph, Business Development Manager

12:30 p.m.

Lunch

1:30 p.m.

Going Beyond Using the Model for Reinsurance

Laura Powers, U.S. SCS View of Risk Advisory Lead, Aon | Michelle Cipullo, Associate Director, Impact Forecasting

Explore how SCS catastrophe models can be leveraged beyond traditional reinsurance placement to support broader risk management and strategic decision-making. We will demonstrate how outputs from models can inform underwriting guidelines, portfolio optimization, capital allocation, event response planning, and risk appetites across the enterprise. With:

Extending Risk Insights Using Impact Forecasting’s US SCS Model

IF’s US Severe Convective Storm (SCS) catastrophe model delivers out-of-the-box loss estimates while also offering flexible access to its hazard and vulnerability components. This session will focus on applications beyond traditional model output, including tailoring vulnerability to unique asset types, leveraging the near–real time Automated Event Response, and utilizing a comprehensive historical catalog of SCS event footprints from 2000–2024. We will conclude with a deep dive into how this historical catalog can reveal events and losses that do not appear in PCS results, and showcase how it can help shape a more complete view of SCS risk.

1:30 p.m.

Advancing U.S. Flood Risk Modelling: Practical Pricing and Portfolio Management Insights

Andy Neal, Flood and Public Sector Lead, Aon | Dan Rees, Director of U.S. Flood Model Development, Impact Forecasting

This session introduces IF’s new countrywide flood model, detailing enhancements in hazard, vulnerability, and financial modeling to improve flood risk quantification across the U.S. We’ll examine how these updates inform pricing, risk selection, and portfolio management, and discuss practical applications such as identifying growth opportunities and addressing gaps in residential and commercial flood protection.

2:15 p.m.

Refreshment Break

2:45 p.m.

Better Underwriting Decisions Through Better Building Code Data

Kun Yang, Associate Director, Impact Forecasting

Building codes are a key input to property underwriting because they signal how resilient structures are likely to be to perils like hurricane, earthquake, and fire. Stricter, well-enforced codes generally translate into fewer and less severe losses. Underwriters factor jurisdictional code strength and enforcement into rates, deductibles, and coverage terms—offering more favorable pricing and capacity where codes meaningfully reduce risk, and tightening terms or charging more where codes are weak, outdated, or poorly enforced.

In this session, we explore Impact Forecasting’s ongoing research into building code effectiveness and its impact on risk selection and pricing.

2:45 p.m.

Advancing U.S. Earthquake Modeling: Sneak Peek Into USGS 2023 Hazard Data & IF’s New Industrial Facilities Model

Farhad Sedaghati, Head Of U.S. Earthquake Modeling, Impact Forecasting | Yajie Lee, Director, ImageCat

This session offers a first look at the recently released USGS 2023 U.S. National Seismic Hazard Model results, impacting all 50 states, and how they are shaping the next generation of U.S. earthquake models. We’ll then dive into Impact Forecasting’s new Industrial Facilities Model (IFM) and showcase how its enhanced vulnerability and exposure insights can transform industrial risk assessment. We highlight the ongoing partnership between ImageCat and Impact Forecasting, demonstrating how advanced earthquake engineering and data analytics, are advancing earthquake modeling in the U.S. market.

3:30 p.m.

Networking Reception

16 April 2026

8:00 a.m.

Registration and Networking Breakfast

9:00 a.m.

Opening Remarks

Amanda Lyons, CEO, Aon's Reinsurance Solutions, Bermuda

9:05 a.m.

Roadmap to Risk Advantage: Impact Forecasting for (Re)Insurers

9:30 a.m.

Recent Innovations in Hurricane Risk Modeling and a Look at the 2026 Season

Ted Amdur, Associate Director, Americas Tropical Cyclone Hazard Modeling

Traditional hurricane models largely reshuffle historical storms to estimate future risk, which can miss emerging climate signals and tail events. Recent advances now allow us to use simplified physics to recreate the atmospheric conditions of past seasons and generate many more synthetic but physically consistent storms. This session will show how these physics informed event sets change the view of North Atlantic hurricane risk, highlight quantitative sensitivities of loss to climate change and ENSO, and explore what these insights may suggest for plausible outcomes in the 2026 season.

10:00 a.m.

Balancing History and Hindsight: Tackle Recency Bias in Catastrophe Model Validation

Katie Carter, Head of View of Risk Advisory - Americas, Aon’s Reinsurance Solutions

Benchmarking catastrophe model loss against experience is essential but challenging — especially for perils like severe convective storm and wildfire. Using longer loss histories can introduce uncertainty due to exposure shifts, climate change and loss trending. Meanwhile, only focusing on recent loss experience may introduce recency bias, whether from unusually quiet periods or rare large events. So, where do you draw the line between long history and fresh signals? Using the 2020 Iowa Derecho, the 2025 Palisades and Eaton wildfires, this session will explore how to recognize and address recency bias and validate whether a catastrophe model truly reflects the risk.

10:30 a.m.

Refreshment Break

11:00 a.m.

Rethinking Resilience with the Next Generation of Hurricane Models

Jeffrey Gall, Senior Scientist, RenaissanceRe | Eric Robinson, Head of U.S. Research and Development, Impact Forecasting | Radovan Drinka, Global Head of Tropical Cyclone Model Development, Impact Forecasting

Explore how next-generation hurricane models are reshaping resilience strategies. Learn about breakthroughs in high-resolution climate data, advanced intensity and rainfall modeling, and integrated surge and flood risk. Discover how AI-driven frameworks and expanded event sets help (re)insurers anticipate tail risk, rapid intensification and climate-driven landfall shifts. Gain practical insights for underwriting, portfolio management, and resilience planning, plus an exclusive preview of Impact Forecasting’s new hurricane model.

11:45 a.m.

The Charge Towards Better Event Response Solutions

Antonio Elizondo, Senior Scientist - Catastrophe Insight, Impact Forecasting

In 2025, weather events accounted for $127B of insured losses. When disaster strikes, time is of the essence – to protect people, property and restore critical services. To do so, insurers require real-time event data so they’re better informed and better equipped to support customers, when they need it the most. In this session, we’ll reflect on the lessons learned from the catastrophe events of 2025, how Impact Forecasting is expanding our Automated Event Response suite which now includes U.S. SCS and Global Flood.

12:15 p.m.

Catastrophe Conundrums Quiz

Antonio Elizondo, Senior Scientist - Catastrophe Insight, Impact Forecasting | Will Skinner, Head of Business Development U.S., Impact Forecasting

12:30 p.m.

Lunch

1:30 p.m.

Going Beyond Using the Model for Reinsurance

Laura Powers, U.S. SCS View of Risk Advisory Lead, Aon | Michelle Cipullo, Associate Director, Impact Forecasting

IF’s Explore how SCS catastrophe models can be leveraged beyond traditional reinsurance placement to support broader risk management and strategic decision-making. We will demonstrate how outputs from models can inform underwriting guidelines, portfolio optimization, capital allocation, event response planning, and risk appetites across the enterprise. With:

Extending Risk Insights Using Impact Forecasting’s US SCS Model

IF’s US Severe Convective Storm (SCS) catastrophe model delivers out-of-the-box loss estimates while also offering flexible access to its hazard and vulnerability components. This session will focus on applications beyond traditional model output, including tailoring vulnerability to unique asset types, leveraging the near–real time Automated Event Response, and utilizing a comprehensive historical catalog of SCS event footprints from 2000–2024. We will conclude with a deep dive into how this historical catalog can reveal events and losses that do not appear in PCS results, and showcase how it can help shape a more complete view of SCS risk.

1:30 p.m.

Advancing U.S. Flood Risk Modeling: Practical Pricing and Portfolio Management Insights

Andy Neal, Flood and Public Sector Lead, Aon | Dan Rees, Director of U.S. Flood Model Development, Impact Forecasting

This session introduces Impact Forecasting’s new countrywide flood model, detailing enhancements in hazard, vulnerability, and financial modeling to improve flood risk quantification across the U.S. We’ll examine how these updates inform pricing, risk selection, and portfolio management, and discuss practical applications such as identifying growth opportunities and addressing gaps in residential and commercial flood protection.

2:45 p.m.

Case Study: Unique Insights 2025’s Hurricane Melissa & 2017’s Mexico City Earthquake

Mario Ordaz, Co-Founder and Scientific Advisor, ERN

Hurricane Melissa’s landfall near Kingston, Jamaica in 2025 brought catastrophic wind and flood damage, severely disrupting infrastructure, tourism, and commerce while triggering substantial insured and uninsured losses. The session will examine how this event exposed protection gaps, stressed re/insurance capital, and contributed to broader economic fallout. We will review ERN’s unique role in supporting the CCRIF parametric facility offering financial assistance to the region. We will also explore the 2017 Mexico City earthquake, highlighting how input data quality—exposure coding, geolocation, and vulnerability assumptions—materially influenced modeled loss outcomes and decision‑making.

2:45 p.m.

Advancing U.S. Earthquake Modeling: Sneak Peek Into USGS 2023 Hazard Data & IF’s New Industrial Facilities Model

3:30 p.m.

Networking Reception

21 April 2026

8:00 a.m.

Registration and Networking Breakfast

9:00 a.m.

Opening Remarks

Matt Wolfe, President & CEO Canada, Aon’s Reinsurance Solutions | Steve Hofmann, Americas CEO, Reinsurance Solutions

9:15 a.m.

Roadmap to Risk Advantage: Impact Forecasting for (Re)Insurers

9:45 a.m.

Canada’s Journey to a More Flood Resilient Future

Robin Bourke, Senior Engineering Advisor and Data Science and Engineering Manager, Public Safety Canada

This session will focus on the federal government’s advancements in building science and engineering capacity into major public policy programs including the modernized Disaster Financial Assistance Arrangements (DFAA) program, Flood Insurance, and the Federally-Identified Flood Risk Areas (FIFRA) initiative. Since 2020, Public Safety Canada has been working with academic, public, and private sector partners to understand and quantify flood hazard and flood risk across Canada, including financial flood risk. Through licencing and evaluating private sector flood hazard models, developing high resolution exposure data sets, and leveraging damage estimation methodologies, Public Safety Canada’s Data Science and Engineering Team has supported several federal departments and agencies with portfolios relating to flooding and climate change.

10:15 a.m.

Balancing History and Hindsight: A Case Study in Tackling Recency Bias

Holly Widen, Director, Flood Research Lead - Americas View of Risk Advisory, Aon

Benchmarking catastrophe model loss against experience is essential but challenging — especially for perils like flood and wildfire. Using longer loss histories can introduce uncertainty due to exposure shifts, climate change and loss trending. Meanwhile, only focusing on recent loss experience may introduce recency bias, whether from unusually quiet periods or rare large events. So, where do you draw the line between long history and fresh signals?

Using the 2013 Alberta riverine floods and the 2024 pluvial flooding from the remnants of Hurricane Debbie as case studies, alongside the 2016 Fort McMurray and 2024 Jasper wildfires, this session will examine how exposure growth, shifts in hazard, climate change and loss inflation complicate model vs experience comparisons. We’ll explore how to recognize and address recency bias, and validate whether catastrophe models are truly capturing the frequency, severity and spatial footprint of today’s Canadian flood and wildfire risk.

10:45 a.m.

Refreshment Break

11:15 a.m.

The Charge Towards Better Event Response Solutions

11:45 a.m.

Evolution of Flood Modelling: From Hydrology to Location Level Risk Intelligence

Ladislav Palan, Head of Canada Flood Model Development, Impact Forecasting | Dr. Alain Pietroniro, Professor and Momentum Director in Engineering for a Sustainable Future at Schulich School of Engineering, Department of Civil Engineering, University of Calgary

Flood risk in Canada is shaped by complex hydrology, cold climate processes and emerging coastal and pluvial – and models need to keep pace. This session explores how decades of Canadian hydrology research are being combined with next generation flood modeling to deliver a more complete view of risk across the country. We will touch on expanding national coverage, the integration of multiple flood drivers, advances in vulnerability and exposure data, and the shift toward more granular, location level insights that can support underwriting, portfolio management and long term resilience planning.

12:30 p.m.

Catastrophe Conundrums Quiz

Antonio Elizondo, Senior Scientist - Catastrophe Insight, Impact Forecasting | Alison Gryzlo, Business Development Representative, Impact Forecasting

12:45 p.m.

Lunch

1:45 p.m.

Between Inundation and Flame: Vulnerability Modelling for Flood and Wildfire

Yuliia Khmurovska, Catastrophe Model Developer, Impact Forecasting

Unlock better underwriting and portfolio management decisions by opening the “black box” of vulnerability components for both flood and wildfire models. Discover how Canadian building stock data, regional differentiation and advanced engineering damage functions come together in a unified multi-peril framework for more credible loss estimates. We’ll examine how buildings respond to various types of stress – from flood depth and velocity to heat and smoke – and how key building features drive loss outcomes across various regions and municipalities Learn how this next‑generation approach enables more realistic damage functions, better use of claims data and more reliable location‑level risk insights.

2:30 p.m.

Networking Break

2:45 p.m.

Wildfire Risk in a Changing Climate: New Developments for Underwriting, Exposure management, Reinsurance and Capital Reserving

Radek Solnicky, Catastrophe Model Developer, Impact Forecasting

In 2025, wildfires accounted for over $370M in insured losses, underscoring the need for enhanced modeling and better preparedness as climate change ripens conditions for the risk. Join this session for insights into evolving new Canadian wildfire model, which captures the full spectrum of impacts from fire spread in wildland and urban areas to ember transport, smoke damage and evacuation‑related losses. Leveraging the latest data, the model delivers location‑level loss estimates under both current and future climate scenarios, helping insurers and stakeholders better understand, price and manage wildfire risk.

3:30 p.m.

Tools to Support Your Cat Risk Decisions

Jakub Aska, Business Development Manager, Impact Forecasting

Dive into Impact Forecasting’s latest suite of solutions designed to bridge the gap between analytics and everyday decision-making. This practitioner-focused session will showcase new tools and workflows available to catastrophe managers, underwriters, actuaries, and executives, including the award winning IF Toolkit underwriting solution. Attendees will see how these solutions can streamline portfolio analytics, enhance scenario analysis, and embed a consistent, organization wide view of risk across underwriting, pricing, and capital management.

4:00 p.m.

Networking Reception

14 May 2026

8:00 a.m.

Registration and Networking Breakfast

9:00 a.m.

Opening Remarks

Peter Cheeseman, Head of Risk Capital Analytics APAC, Aon

9:15 a.m.

Roadmap to Risk Advantage: Impact Forecasting for (Re)Insurers

9:45 a.m.

From Catastrophe Science to Insight: Collaborative Risk View Development to Bring Science into Business Decisions

Dr Joanna Aldridge, Head of Research & Development – Catastrophe, QBE

In a market defined by increasing catastrophe risk and a proliferation of models and data, executives need more than black box outputs—they need clear, defensible insights. This keynote will follow QBE’s journey in building its own view of risk through disciplined model evaluation and strong collaboration between internal teams and external partners such as Aon and Impact Forecasting.

The session will show how QBE integrates peril research into day to day business decisions across APAC—informing underwriting, pricing, portfolio management and reinsurance strategy—sharing practical lessons on best practices for catastrophe model evaluation, challenging assumptions and embedding a transparent, science based approach to catastrophe risk that supports sharper, more confident decision making.

10:15 a.m.

Global Flood Hazard Maps: From Local Datasets to Global Flood Risk Insights

Kiran KG, Head of Flood Model Development APAC, Impact Forecasting | Jan Dolezal, Head of Global Flood Maps, Impact Forecasting

Join us as we unveil Impact Forecasting’s Global Flood Hazard Maps, delivering a comprehensive and consistent view of flood risk globally. Leveraging expert knowledge, latest local and global datasets, and state-of-the-art methodologies, these high-resolution maps provide unprecedented detail in quantifying flood hazard.

Using illustrative examples from APAC region, discover how these maps can improve the development of probabilistic models, enhance climate change risk assessment and enable timely event response solutions. Connecting the dots between data and decisions, the session demonstrates how Impact Forecasting Global Flood Hazard Maps can provide a strong foundation for underwriting, pricing and risk management.

10:45 a.m.

Break

11:15 a.m.

From Development to Market Adoption: Impact Forecasting Japan Wind & Flood Models and Client Case Studies

Vishal Bongirwar, Head of R&D Atmospheric Perils, APAC, Impact Forecasting | Rikito Hisamatsu, Senior Catastrophe Research Analyst, Aon Japan Analytics | Kazuhiro Tsubono, Senior Catastrophe Analyst, Aon Japan Analytics

Dive into the latest generation of probabilistic Japan Wind & Flood models, developed in 2025 and complemented by bespoke models built in collaboration with selected Japanese clients. Independent validation shows that these models align with Aon’s deep market experience and clear advantages over other vendor models, driving clients to adopt these results in their reinsurance submissions.

Building on scientific rigor and extensive experience in the Japan market, this session will show how that translates into real-world application, covering model development, the validation framework, and performance against key metrics. Through client case studies, we will illustrate how the models enable comprehensive, well informed risk assessment and reinsurance purchasing.

12:00 p.m.

Catastrophe in Motion: Turning Live Data into Actionable Insight

Michal Lorinc, Head of Catastrophe Insight, Impact Forecasting | Pei Pei Yang, Director, Impact Forecasting

In 2025, global economic losses from natural catastrophes were relatively low (US$ 260 billion, 23% below 21st century average), yet insured losses were elevated (US$ 127 billion, 27% above average), highlighting a growing protection gap and the need for timely event intelligence.

This session presents observations from recent global catastrophe events and demonstrates how Automated Event Response (AER) delivers actionable insights for wildfires, severe convective storms, tropical cyclones and global flood. Recent enhancements include the incorporation of ECMWF AI Forecasting System (AIFS) track data and access to detailed loss reports and event footprints.

The session will showcase how our near-real time solutions and insights enable (re)insurers and event response teams to separate signal from noise and gain clarity on loss impacts and accumulations during live events.

12:30 p.m.

Catastrophe Conundrums Quiz

Michal Lorinc, Head of Catastrophe Insight, Impact Forecasting | Sunil Frank, Head of Catastrophe Management Asia, Aon’s Reinsurance Solutions

12:45 p.m.

Lunch

1:45 p.m.

Artificial Intelligence in Cat Modelling: From Buzzword to Built-In Capability

Martin Kadlec, Catastrophe Model Developer, Impact Forecasting | Amanda Cheong, Associate Director, Impact Forecasting

Artificial Intelligence and Machine Learning (AI/ML) are now part of every industry conversation, but the key question is where they are already embedded in real catastrophe modelling workflows.

This session will show how AI/ML are applied in downscaling global climate models and constructing stochastic event sets, and will evaluate the emerging role of AI-driven weather-prediction models in future catastrophe development frameworks. A demonstration of the latest ELEMENTS knowledge hub will illustrate how AI enhanced tools deliver relevant model insights for catastrophe modelers and underwriters.

Focusing on concrete applications, the session moves beyond the hype to show where AI/ML are already delivering value, where they have fallen short in practice, and what this means for the future of catastrophe model development and modelling teams.

1:45 p.m.

New Frontiers in Earthquake Catastrophe Modelling for Continental Southeast Asia

Goran Trendafiloski, Head of Earthquake Model Development, Impact Forecasting | Avisek Mukherjee, Head of Earthquake Model Development, APAC, Impact Forecasting

Accounting for more than 20% of APAC’s economic losses in 2025, the M7.7 Myanmar Earthquake in late March caused nearly US$16 billion in economic losses and US$ 1.6 billion in insured losses. Strong shaking was felt across continental Southeast Asia, with property damage and losses reported in Bangkok, around 1,000 km from the epicentre–underscoring the elevated seismic risk megacities face from remote sources.

In this session, we will present Impact Forecasting’s global earthquake development strategy and roadmap, including a new regional model for Thailand, Cambodia, Lao PDR, Vietnam, and Malaysia. With a strong focus on remote sources, local soil conditions, sedimentary basins, and long-period ground motions, we will explore the implications for highly exposed urban centres such as Bangkok, Singapore, and Jakarta and how these insights translate into catastrophe risk management in APAC.

2:30 p.m.

Break

2:45 p.m.

From Insight to Action: Modernizing Risk Decisions with Advanced Analytics

Sarka Cerna, Global Head of Data Management & Integration, Aon Risk Capital and Head of Product Strategy, Impact Forecasting | Alec Wild, Senior Catastrophe Research Analyst, Aon New Zealand

Explore Impact Forecasting’s latest suite of modelling solutions designed to bridge the gap between advanced analytics and everyday decision-making. This practitioner focused session will showcase how Aon’s Global Hazard Score underpins advanced analytics as a consistent, global hazard dataset, alongside new tools and workflows for catastrophe managers, underwriters, actuaries, and executives—including the award winning IF Toolkit underwriting solution, the next generation ELEMENTS catastrophe modelling platform, and Aon’s Risk Analytics Platform.

Attendees will discover how these solutions streamline portfolio analytics, enhance scenario analysis, and embed a consistent, organization wide view of risk across underwriting, pricing, portfolio modelling and risk management.

2:45 p.m.

Beyond the Curves: Advancing Analytics for Industrial Risk

Naseef Ummer, Lead of IFM Development, Impact Forecasting

Introducing Impact Forecasting’s Industrial Facilities Model (IFM) – a next generation standard for complex industrial risks to quantify physical damage and business interruption (BI) across 80+ facility types, including rapidly growing exposures such as renewables and data centres. Traditional approaches often rely on generalized assumptions, masking important differences between facilities and giving a misleading view of loss behaviour.

Join this session to understand how IFM uses a component based framework to model vulnerability functions for complex facilities and capture the effect of loss drivers at the component level. This allows explicit incorporation of resilience and mitigation measures, including dependencies on critical utilities and external infrastructure.

IFM’s versatile framework enables rapid integration of client loss experience, insights from facility managers, and underwriting conditions to provide a step change in industrial risk analytics: (re)insurers gain access to transparent, explainable vulnerability functions, portfolio specific insights and stronger engineering justification for pricing and structuring decisions.

3:30 p.m.

Cocktail Networking Reception

2 June 2026

8:00 a.m.

Registration and Networking Breakfast

9:00 a.m.

Opening Remarks

Elisabeth Viktor, Severe Convective Storm Lead, Swiss Re

9:15 a.m.

Roadmap to Risk Advantage: Impact Forecasting for (Re)Insurers

9:45 a.m.

From Hazard Data to Risk View: Developing an In‑House Perspective on European Windstorm

Niklaus Merz, Senior Researcher, PartnerRe | Alexandros Georgiadis, Head of Weather Risk Modelling EMEA, Impact Forecasting

This session explores how reinsurers can transform raw hazard data into robust internal view of European windstorm risk. Gain practical approaches to building an in-house perspective and use this view to support pricing, portfolio steering and risk appetite decisions.

10:15 a.m.

Quantifying Risk: Model Evaluation in Practice

Symeon Koumoutsaris, Global Head of Cat Research & Development, SCOR

Join Symeon Koumoutsaris, Global Head of Cat Research & Development at SCOR, as he demystifies how to test catastrophe models in the real world. Through sharp, practical techniques—from experience‑based benchmarking to stress‑testing and cross‑model challenges—Symeon will show how robust model evaluation can sharpen underwriting discipline and deliver a clearer, more defensible view of natural catastrophe risk.

10:45 a.m.

Refreshment Break

11:15 a.m.

Enhancing (Re)Insurance Decisions: Analytics, Modeling, and View of Risk

Christof Grass, Head of Analytics and Affiliated Reinsurance, Zurich | Peter Lutum, Head of Global Reinsurance, ERGO Group | Sagar Bora, Head of Model Evaluation UK & EMEA, Aon's Reinsurance Solutions | Alice Hladikova, EMEA Regional Clients Analyst, Aon’s Reinsurance Solutions

This interactive panel examines how advanced analytics, evolving catastrophe models, and firms’ own views of risk are reshaping (re)insurance decision‑making. Panelists will discuss how to align technical insights with commercial objectives, manage uncertainty across multiple models, and communicate a clear, defensible view of risk to internal and external stakeholders.

12:00 p.m.

The Charge Towards Better Event Response Solutions

Michal Lorinc, Head of Catastrophe Insight, Impact Forecasting

In 2025, weather events accounted for $127B of insured losses. When disaster strikes, time is of the essence – to protect people, property and restore critical services. To do so, insurers require real-time event data so they’re better informed and better equipped to support customers, when they need it the most. In this session, we’ll reflect on the lessons learned from the catastrophe events of 2025, how Impact Forecasting is expanding our Automated Event Response suite which now includes U.S. SCS and Global Flood.

12:30 p.m.

Catastrophe Conundrums Quiz

Ondrej Hotovy, Senior Scientist - Catastrophe Insight, Impact Forecasting | Muaz Nawaz, Business Development, Impact Forecasting

12:45 p.m.

Lunch

1:45 p.m.

AI Unleashed: Crafting the Future of Model Development

Martin Kadlec, Catastrophe Model Developer, Impact Forecasting | Vicky Agou, Catastrophe Model Developer, Impact Forecasting

Dive into how artificial intelligence is redefining catastrophe model development, using practical AI applications - from data enrichment and pattern recognition to automation of model components - and examine the implications for catastrophe managers and the future skill set of catastrophe modelling teams.

1:45 p.m.

The New Frontiers in Earthquake Catastrophe Modelling: Compound Geo-Peril Models

Svetlana Stripajova, Earthquake Model Developer, Impact Forecasting | Lubos Sokol, Catastrophe Model Developer, Impact Forecasting

Explore the latest advances and developments in earthquake catastrophe modelling, with a focus on compound geo peril models that capture cascading and correlated hazards. The earthquake protection gap remains the highest among natural perils, and observed losses show that secondary perils such as fire following, landslides, liquefaction, and tsunami can account for a substantial share of total economic impact - yet are often under-represented in conventional models.

Svetlana and Lubos will outline Impact Forecasting’s global earthquake model development strategy and how these next generation models address limitations of traditional approaches, improve loss estimation, and inform risk management strategies in increasingly complex seismic environments.

2:30 p.m.

Refreshment Break

2:45 p.m.

Navigating U.S. Perils: A Deep Dive into Flood and Severe Convective Storm Risks

Petr Puncochar, Global Head of Flood Model Development, Impact Forecasting | Francesco Esposito, Catastrophe Model Developer, Impact Forecasting

This model‑focused breakout provides an in‑depth look at U.S. flood and severe convective storm risk. The session will cover current modelling capabilities, data challenges, and regional nuances, as well as how evolving hazard trends are influencing portfolios and reinsurance structures. Come away with practical perspectives on interpreting model output and building a resilient view of these key U.S. perils.

2:45 p.m.

Unlocking Innovation for Catastrophe Managers

Sarka Cerna, Global Head of Data Management & Integration, Aon Risk Capital and Head of Product Strategy, Impact Forecasting | Peter Zimmerli, Senior Cyber Modelling Specialist, Aon | Matt Haasz, Catastrophe Risk Analyst, Aon

Designed for practitioners, this session showcases new tools and workflows available to catastrophe managers, including Aon’s Risk Analytics Platform, the Impact Forecasting’s Toolkit and dedicated cyber solutions. Drawing on our experience with cyber modelling for clients such as CrowdStrike, as well as regular IT security briefings and alerts. Attendees will see how new tools can streamline portfolio analytics, enhance scenario analysis, and embed a consistent view of risk across underwriting, pricing, and capital management processes.

3:30 p.m.

Networking Reception

4 June 2026

8:00 a.m.

Registration and Networking Breakfast

9:00 a.m.

Opening Remarks

Oriol Gaspa Rebull, Global Head of Analytics Strategy, Risk Capital, Aon

9:15 a.m.

Roadmap to Risk Advantage: Impact Forecasting for (Re)Insurers

9:45 a.m.

Supershear Earthquakes: From Scientific Advances to Managing Catastrophe risk

Luke Wedmore, Senior Research Analyst – MS Amlin, Honorary Senior Research Associate – University of Bristol

In the past ten years, the majority of insured losses from earthquakes has come from earthquakes that experienced a phenomenon known as supershear rupture. With few in the insurance industry concerned about the minutiae of earthquake rupture physics, this session explores how insurers can take novel scientific information and use it to manage their catastrophe risk, enhance risk selection and strengthen portfolio resilience.

10:15 a.m.

From Hazard Data to Risk View: Developing an In‑House Perspective on European Windstorm

Niklaus Merz, Senior Researcher, PartnerRe | Aidan Brocklehurst, Catastrophe Model Developer, Impact Forecasting

This session explores how reinsurers can transform raw hazard data into robust internal view of European windstorm risk. Niklaus will discuss practical approaches to building an in-house perspective and use this view to support pricing, portfolio steering and risk appetite decisions. Perspective on European Windstorm.

10:45 a.m.

Refreshment Break

11:15 a.m.

Enhancing (Re)Insurance Decisions: Analytics, Modeling, and View of Risk

Kirsten Mitchell-Wallace, Cat Risk Expert | Sagar Bora, Head of Model Evaluation, UK & EMEA, Aon | Alice Hladikova, EMEA Regional Clients Analyst, Aon | Jean-Michel Vautrin, Head of Actuarial Office, Group Reinsurance Dept., Talanx

In this interactive panel, we’ll examine how advanced analytics, evolving catastrophe models, and firms’ own views of risk are reshaping re/insurance decision‑making. Panelists will discuss how to align technical insights with commercial objectives, manage uncertainty across multiple models, and communicate a clear, defensible view of risk to internal and external stakeholders.

12:00 p.m.

The Charge Towards Better Event Response Solutions

12:30 p.m.

Catastrophe Conundrums Quiz

Chris Ewing, Head of Business Development, Impact Forecasting | Ondrej Hotovy, Senior Scientist - Catastrophe Insight, Impact Forecasting

12:45 p.m.

Lunch

1:45 p.m.

AI Unleashed: Crafting the Future of Model Development

Martin Kadlec, Catastrophe Model Developer, Impact Forecasting | Vicky Agou, Catastrophe Model Developer, Impact Forecasting

This breakout delves into how artificial intelligence is redefining catastrophe model development. The speakers will discuss practical AI applications - from data enrichment and pattern recognition to automation of model components - and examine the implications for catastrophe managers and the future skill set of catastrophe modelling teams.

1:45 p.m.

The New Frontiers In Earthquake Catastrophe Modeling: Compound Geo-Peril Models

Goran Trendafiloski, Head of Earthquake Model Development, Impact Forecasting | Svetlana Stripajova, Earthquake Model Developer, Impact Forecasting

This technical session explores the latest advances and developments in earthquake catastrophe modelling, with a focus on compound geo peril models that capture cascading and correlated hazards. The earthquake protection gap remains the highest among natural perils, and observed losses show that secondary perils such as fire following, landslides, liquefaction, and tsunami can account for a substantial share of total economic impact - yet are often under-represented in conventional models.

Goran and Svetlana will outline Impact Forecasting’s global earthquake model development strategy and how these next generation models address limitations of traditional approaches, improve loss estimation, and inform risk management strategies in increasingly complex seismic environments.

2:30 p.m.

Refreshment Break

2:45 p.m.

Navigating U.S. Perils: A Deep Dive into Flood and Severe Convective Storm Risks

Eric Robinson, Head of U.S. Research and Development, Impact Forecasting | Petr Puncochar, Head of Flood Model Development, Impact Forecasting

This model‑focused breakout provides an in‑depth look at U.S. flood and severe convective storm risk. The session will cover current modelling capabilities, data challenges, and regional nuances, as well as how evolving hazard trends are influencing portfolios and reinsurance structures. Participants will gain practical perspectives on interpreting model output and building a resilient view of these key U.S. perils.

2:45 p.m.

Unlocking Innovation for Catastrophe Managers

Rory Egan, Head of GRS Cyber, Global Head of Cyber Analytics, Aon | Sarka Cerna, Global Head of Data Management & Integration, Aon Risk Capital and Head of Product Strategy, Impact Forecasting | Charlie Mortimer, Catastrophe Risk Analyst, Aon

Designed for practitioners, this session showcases new tools and workflows available to catastrophe managers, including Aon’s Risk Analytics Platform, the Impact Forecasting’s Toolkit and dedicated cyber solutions. Drawing on our experience with cyber modelling for clients such as CrowdStrike, as well as regular IT security briefings and alerts. Attendees will see how new tools can streamline portfolio analytics, enhance scenario analysis, and embed a consistent view of risk across underwriting, pricing, and capital management processes.

3:30 p.m.

14 April 2026

Registration and Networking Breakfast

Opening Remarks

Roadmap to Risk Advantage: Impact Forecasting for (Re)Insurers

Cracking the Code on High Frequency Perils: Elevating Underwriting, Portfolio and Capital Decisions

Balancing History and Hindsight: A Case Study in Tackling Recency Bias

Refreshment Break

Rethinking Resilience with the Next Generation of Hurricane Models

The Charge Towards Enhanced Event Response Solutions

Catastrophe Conundrums Quiz

Lunch

Going Beyond Using the Model for Reinsurance

Advancing U.S. Flood Risk Modelling: Practical Pricing and Portfolio Management Insights

Refreshment Break

Better Underwriting Decisions Through Better Building Code Data

Advancing U.S. Earthquake Modeling: Sneak Peek Into USGS 2023 Hazard Data & IF’s New Industrial Facilities Model

Networking Reception

Amanda Lyons

CEO Reinsurance Solutions, Bermuda

Adam Podlaha

Aon’s Impact Forecasting

Bryan Dalton

Ren Re

Katie Carter

Aon’s View Of Risk Advisory

Eric Robinson

Moderator

Radovan Drinka

Jeffrey Gall

Ren Re

Michal Lorinc

Aon’s Impact Forecasting

Eric Robinson

Aon’s Impact Forecasting

Andy Neal

Dan Rees

Aon’s Impact Forecasting

Mario Ordaz

Chris Dittman

Will Skinner

Nat Cat Revealed 2026 Series Agenda