ABSTRACT
This lecture explores Data Storytelling and the Big Data value chain in the realm of Natural Disaster Management, emphasizing the importance of communicating complex data in accessible ways to drive better decision-making. It highlights the potential of big data in enhancing disaster preparedness, response, and mitigation efforts, and focuses on how data can be leveraged across multiple stages of disaster management. The growing frequency and severity of natural disasters is addressed, underscoring the need for comprehensive data analysis to understand their impacts on infrastructure, communities, and ecosystems. Data Storytelling emerges as a critical tool to transform raw data into engaging narratives, making information actionable and comprehensible for diverse stakeholders such as governments, emergency services, and the public. With effective data narratives, decision-makers can prioritize interventions, allocate resources more efficiently, and build public trust. The lecture also presents the Big Data value chain—comprising key phases such as data acquisition, storage, processing, analysis, visualization, and interpretation—and emphasizes its role in improving disaster management strategies. Each step in this chain contributes to early warning systems, situational awareness, risk assessment, and resource allocation. For example, predictive analytics derived from satellite imagery, IoT sensors, and social media data can provide early warnings to at-risk populations, while real-time data feeds support better coordination during relief operations. Challenges such as data privacy, interoperability, and the digital divide will also be examined, as these factors can limit the effective use of data in disaster management. Case studies showcasing the use of big data in past events, such as hurricane forecasting models or wildfire monitoring, will be incorporated to demonstrate practical applications. Participants will engage in interactive discussions to explore data storytelling techniques and evaluate the use of big data tools for designing more resilient communities. By the end of the lecture, attendees will gain insights into the synergies between data storytelling and the big data value chain, along with practical skills for applying these concepts to real-world disaster scenarios. They will leave with a deeper understanding of how to turn complex data into actionable insights, ultimately improving the effectiveness of natural disaster management efforts.
LECTURER SHORT CV
Part of R&I Digital Experience Laboratory of Engineering Ingegneria Informatica S.p.A. researching in the domain of public service innovation, interoperability and digital transformation. In the last year she has been involved in many European and funded research projects (inside H2020 program and EIT Digital projects) as part of the technical development staff. At present, she is involved in TEMA project (HORIZON-CL4-2022-DATA-01-01) and BeOpen project (DIGITAL). The acquired knowledge and the developed activities mainly concern data and platform interoperability, semantics and web technologies, Open Data management and FIWARE Architecture.