Data Science for Emergency Management
December 11-14, 2017 – Boston, MA, USA
Society as a whole is increasingly exposed and vulnerable to natural disasters because extreme weather events, exacerbated by climate change, are becoming more frequent and longer. To address this global issue, novel advanced data analytics solutions able to cope with heterogeneous big data sources are needed. The huge amount of data generated by people and automatic systems during natural hazard events (e.g., social network data generated by citizens and first responders, satellite images of the affected areas, flood maps generated by drones), is typically referred to as Big Crisis Data. To transform this overload of heterogeneous information into valuable knowledge, we need to integrate it and extract knowledge in near-real time by means of novel data analytics solutions. Currently, the analysis is focused on one single type of data (e.g., social media data, or satellite images). Their integration into big data analytics systems capable of building accurate predictive nowcast and forecast models will provide effective support for emergency management.
The workshop aims at involving researchers, practitioners and environmental and governmental bodies to foster discussion on emergency management analytics open issues and provide interesting insights for future actions in the natural hazard management area.
- Sep 22, 2017: Due date for workshop papers submission
- Nov 1, 2017: Notification of paper acceptance to authors
- Nov 15, 2017: Camera-ready of accepted papers
Co-located with 2017 IEEE International Conference on Big Data (IEEE BigData 2017)
ICT Tools for Emergency Networks and DisastEr Relief (I-TENDER)
December 12, 2017 – Seoul/Incheon, South Korea
Raising awareness on the provision of public safety services through the most diverse ICT technologies is a key opportunity and one of the most urgent challenges in the field of today’s communication networks.
Relevant scenarios include the natural disasters such as earthquakes, fires or floods that disrupt traditional communication infrastructures, or that displace large crowds, overloading what is left of the communication infrastructure. In these scenarios, people are in need of directions, advice, updates on the current situation and they often need to send out requests for help or to make their location known to rescue teams. Ideally, users should be able to communicate directly between themselves, even in the absence of a cellular infrastructure – a common occurrence in disaster scenarios. However, it is also crucial that solutions and platforms are developed to integrate emergency management data coming from multiple sources, including feeds provided by citizens through social media and crowdsourcing.
The I-TENDER workshop will aim at capturing the research and technology trends that enable such awareness by soliciting contributions along three main directions. First, solutions that leverage the widespread availability of handheld devices (smartphone, tablets) that act as the prime contact point to alert the population of impending dangers and as a locating device for rescue teams. Secondly, data analysis techniques that take into account the pervasive role of social networks in collecting and spreading information and provide accurate checking using appropriate tools. And, finally, emerging networking paradigms that go beyond the traditional infrastructure-based model, rather leveraging disruption-tolerant models and device-to-device communication, such as Wi-Fi direct and LTE-D2D. The workshop seeks original work presented in the form of research papers describing new research approaches and results. Highly disruptive work-in-progress and position papers are welcome, provided they focus on particularly innovative solutions or applications for emergency and disaster relief. We also invite authors to submit papers presenting extensive experiences with implementation, deployment, and operation.
- Sept 15, 2017 submission deadline
- Oct 9, 2017 Notification to Authors
- Oct 27, 2017 Camera Ready
Co-located with the 13th International Conference on emerging Networking EXperiments and Technologies (ACM CoNEXT 2017)