Bushfire data challenges
Dr Sheida Hadavi1, Dr. Adrian Burton1
1ARDC, Australia
The Australian Research Data Commons (ARDC) is a National Collaborative Research Infrastructure Strategy (NCRIS) facility, providing Australian researchers with competitive advantage through data. The ARDC’s translational research Data Challenges (DC) program is a national-scale ‘flagship’ initiative which has been designed to create a cohesive system to deal with the needs of data-intensive, cross-disciplinary research. The program focuses on translational research, operating at the intersection of research and broader society, to provide tangible and enduring economic, environmental and social benefits to Australia. In response to the acute demand, the first DC societal problem is ‘Disaster Resilience and Risk Reduction’, with an initial focus area of ‘Bushfires’.
The program will act as a catalyst for driving a nationally coherent and collaborative digital research infrastructure environment. By bringing together collaborations from governments and research institutions the projects remove barriers to the access, analysis and curation of data. Projects in this program will develop innovative and high-impact digital infrastructure, drawing on capabilities such as quality data collections and analytic platforms, underpinning compute and storage, as well as relevant governance and policy frameworks.
The bushfire data infrastructure have three aspects:
– Aggregated data content
– A framework for aggregating data, establishing a systematic approach towards data sharing and storage
– A platform to provide access, visualisations and modelling tools
ARDC runs 2 phases of the bushfire data challenges:
– modelling bushfire behaviour, with data content on fire history and fuel
– modelling impact, with data content on built – infrastructure, health, air quality and environment
Biography:
Sheida Hadavi is the program manager of Translation Research Data Commons program of the Australian Research Data Commons (ARDC). She is a data scientist whose work is focused on establishing data infrastructure to enhance research and operations. Sheida has a Ph.D. in Data analytics in transport and a M.Sc. in Computer science from University of Brussels.