The 1st International Conference on Analytics and Intelligence in Resilience
April 15-17, 2020, Sogndal, Norway




The 1st International Conference on Analytics and Intelligence in Resilience.

April 15 – 17, 2020, Sogndal, Norway.

Aim and Scope

AIR is an annual international conference aiming to bring together researchers and developers working in the field of analytics and intelligence in resilience, then come up with innovative solutions for supporting our society the capacity of withstand, adapt, and recover in a timely manner from any kind of hazards they face, either planned or unplanned. The purpose of the AIR series is:

  • To provide opportunities for scientists from all over the world to present their state-of-the-art results, exchange innovative ideas, and demonstrate pragmatic systems related to the field of analytics and intelligence in resilience.

  • To give participants an excellent opportunity to meet keynote speakers and to take part in their innovated, invigorated, and inspired speech.

  • To provide doctoral students an opportunity to present and discuss their latest research results with friendly and knowledgeable audiences and receive their valuable feedback.

  • To create a platform for international relationships where researchers and practitioners working on analytics and intelligence in resilience can meet.

The 1st AIR dedicates to solicit emerging regular and work-in-progress research, discussion papers, and industry experience report papers on analytics and intelligence in resilience. The conference welcomes submissions of original papers in the broad field of resilience, including, but not limited to transportation, disaster, gender, violence, society, and governance. Papers exploring new directions or areas are also welcome. In particular but not exclusively the submissions within the following main tracks are relevant:

  • Defining, analyzing and understanding resilience

    • Novel determinants of resilience indicators

    • Cross-cutting perspectives on resilience

    • Resilience in long-term forced displacement

    • Social network analysis for intelligence and organizational resilience

    • Education for sustainable development

    • Exploration of resilience at multiple distinct levels

    • Cyber-resilient in information systems and technologies

    • Comparative analysis of resiliency in societies and communities

    • Knowledge representation and fusion for resilience

    • Analyzing and establishing trust in local and global communities

    • New resilience standards

    • Real-life case studies through big data analytics

    • Visualizing large-scale resilient systems

  • Designing and modelling resilience

    • Social data acquisition, integration, and cleaning for resilient models

    • Computational modelling of resilience ensuring robustness, recoverability, etc.

    • Novel resilient infrastructures (society, emergency, transport, etc.) with proactive adaptation

    • Explainable, transparent and transformative resilience models

    • Cost-efficient plans and actions for resilience

    • Multi-cultural approaches to resilience

    • Developing localized resilient strategies

    • Nature-based solution for resilient societies

    • Machine learning for cyber security and privacy protection

    • Domain-specific and heterogeneous resilience planning and policy making

    • Predictive models for forecasting resilience

  • Verifying and validating resilience

    • Building assessment methods and tools

    • Tracking the progress of resilience

    • Verifying resilient impacts and costs on a community

    • Perception, recognition and resilient responses

    • Risk, hazard perception and vulnerability assessment methods

    • Security evaluation of resilience

    • Static analysis and symbolic execution

    • Privacy preserving in resilient frameworks

    • Assessing resilient models for different disaster scenarios

    • Evaluating resilient management cycle including prevention, preparedness, response, and recovery

    • Data and information quality of big data for resilience

    • Trade-offs between resilience and privacy

  • Smart applications for resilient societies

    • Sustainable resilient civil transportation systems

    • High-performance resilient supply chains and distribution systems

    • Climate change and resilience after disasters

    • Complex frameworks for resilient emergency systems

    • Fairness, accountability, and transparency of AI for cyber resilient systems

    • Resilience for situational awareness in cyber physical systems

    • Intelligent web-based services for monitoring, mining, and analyzing resilience

    • Interactive and computational decision support systems

    • Building resilience through the Internet of Things and ubiquitous intelligence

    • Innovative solution for smart cities

    • Resilience as a Service



Vestlandsforsking (Western Norway Research Institute)
Post box 163, NO-6851 Sogndal, Norway