Knowledge Ecosystem

Simulation Ready: From Anticipation to Action

Explores how organizations can strengthen disaster preparedness and emergency response through the integration of AI, anticipatory action, and simulation-based training. Covers hazard monitoring, vulnerability mapping, AI-driven simulations, and the ALERTSim platform as tools for proactive disaster risk reduction.

AI in Emergency Management: Tool or Decision-Maker?

AI is already embedded in emergency management. The question is no longer whether to use it — it's who is accountable when it's wrong. This piece examines the governance principles that must shape AI deployment in emergency operations: explainability, equity, and resilience, with human accountability at the center.

- William Craig Fugate

Session Insights and Key Outcomes – AI + DRR: Intelligence for Resilience

AI is not merely enhancing disaster risk knowledge — it is fundamentally reshaping how risk is defined, interpreted, and operationalized. This session outcome explores the shift from data abundance to decision-grade intelligence, the indispensable role of human judgment, and why resilience is as much a governance challenge as a technical one.

- Jono Anzalone

How do you see an early investment in AI-enabled DRR architectures as central to climate resilience, economic stability, and development pathways?

An exploration of AI's transformative role in disaster risk reduction (DRR), moving beyond hazard forecasting to anticipating real-world impacts on communities and infrastructure. Covers the shift from traditional geospatial tools to GeoAI, the economic case for resilience investment, and the need for responsible, inclusive, and ethical AI governance.

- Sanjay K Srivastava

AI and the Blind Spots of Disaster Risk Knowledge

A critical examination of AI's limitations in disaster risk reduction, focusing on biased training data skewed toward the Global North, the opacity of deep learning models, and unresolved governance challenges. Proposes mitigation approaches including inclusive data governance, participatory model development, and bias audits.

- Soenke Ziesche

AI and Immersive Technology for Emergency Response

During an emergency, the primary focus is always on saving lives — People, Asset, Community and Environment. Using the Bow Tie model, we show the potential for sources of escalation and how significant having a trained and competent team adds to preventative and response controls. Through the use of digitization, training is now much more effective and available for response teams.

- Ryan Bernard, Incident Commander

From What If to What Now to What Might Be

Emergency management is crucial for saving lives, the environment, and assets, relying on human decision-making, coordination, and leadership. Industrialization has improved living standards but also increased the potential for major accidents. With global climate change and the interconnectedness of globalization, large-scale incidents are more frequent and impact families across nations.

- Ashish Kulkarni, Product Designer, ALERTSim

Strategies for Globalization of Knowledge

Know practical strategies that debottleneck flow of knowledge and the various technological platforms that enables knowledge identification, creation, storage and dissemination. Up until 2018, Knowledge management was under the domain of IT; it was carved as a function in its own right, through ISO 30401:2018 standard. This makes knowledge management human centric.

- Ashwina Das, Director Strategy & Growth