"AI for Disaster Resilience: From Early Warning to Recovery."."
Natural Disaster
Resilience and Response
Objective:
The objective of this session is to explore the intersection of artificial intelligence and disaster management, focusing on the development and deployment of AI-enhanced early warning systems, real-time disaster monitoring, and the use of robotics and AI in post-disaster recovery. The session aims to showcase advancements that significantly improve the resilience and responsiveness of communities facing natural disaster
Theme:
This session will unravel the transformative potential of AI in bolstering natural disaster resilience, covering the spectrum from proactive early warning systems that leverage AI predictive models to real-time disaster monitoring using satellite data and the crucial role of robotics and AI in efficient recovery efforts.
Natural Disaster Resilience and Response
is
contribution to
The
Sustainable
Development Goals:
Goal 9: Industry, Innovation, and Infrastructure
Investigate the critical significance of AI in Natural Disaster Resilience and
Response for enhancing sustainable infrastructure development, harnessing
cutting-edge technologies to formulate robust and eco-conscious solutions.
Examine the incorporation of recent AI advancements in Natural Disaster Resilience
and Response into sustainable industrialisation initiatives aimed at revolutionising
infrastructure development frameworks, consequently fostering sustainability within
industrial operations.
Goal 11: Sustainable Cities and Communities
Explore how innovative technologies enhance capabilities and facilitate creative
solutions for sustainable urban development, particularly focusing on their role in
bolstering natural disaster resilience and response mechanisms, thereby contributing
to the establishment of greener and more resilient urban environments.
Investigate the intricate links between innovative technologies across various
domains, emphasising their critical contribution to building safe, sustainable, and
inclusive cities, with a specific emphasis on enhancing natural disaster resilience
and response strategies.
Goal 13: Climate Action
Investigate the crucial role played by research initiatives in bolstering the
resilience and response mechanisms to natural disasters, vital for protecting
communities from increasing hazards.
Conduct a thorough evaluation of how technological advancements can mitigate the
impacts of natural disasters, ensuring communities are safeguarded while maintaining
ecological balance.
Who Can Join
Research Scholars
Technology Experts
Students & Alumini’s
Editorial Board Members of Journals
Government Officials
Industry Professionals
Tracks
Topics of Interest for Submission include, but are not limited to:
1 AI-enhanced early warning systems for earthquakes, hurricanes, and other disasters.
2 Real-time disaster monitoring and response using satellite data and AI.
3 Robotics and AI for disaster recovery and rebuilding efforts.
4 Seismic and Geophysical Data Analysis for Earthquake Prediction
5 Machine Learning for Hurricane Intensity Prediction
6 Integrated Sensor Networks for Disaster Early Warning Systems
7 AI-Driven Evacuation Planning and Route Optimization
8 Satellite Imagery and AI for Real-Time Disaster Monitoring
9 Social Media and Sentiment Analysis in Disaster Response
10 Humanitarian Robotics for Disaster Recovery
11 Predictive Analytics for Post-Disaster Economic Recovery
12 AI-Enhanced Community Resilience Building
13 Ethical Considerations in AI for Disaster Response
Outcomes:
- Participants will gain insights into AI-driven innovations enhancing early warning systems for earthquakes, hurricanes, and other disasters, with a focus on proactive disaster preparedness.
Advancements in Early Warning Systems:
- The session will showcase the integration of AI with satellite data for real-time disaster monitoring, providing a comprehensive understanding of how technology aids rapid and effective response efforts.
Real-time Disaster Monitoring:
- Attendees will explore the applications of robotics and AI in post-disaster recovery, including efficient damage assessment, infrastructure rebuilding, and community rehabilitation.
Role of Robotics and AI in Recovery:
- Presentations will feature best practices and case studies demonstrating successful implementations of AI in disaster resilience and response, offering tangible examples of improved outcomes.
Best Practices and Case Studies:
- The session will facilitate collaboration among disaster management experts, AI researchers, and technology developers to explore collaborative solutions for enhancing global disaster resilience and response mechanisms.
Collaboration for Disaster Resilience:
Scope & Benefits of Attending Beyond Intelligence 2024 conference
Discover the transformative potential of Beyond Intelligence 2024 with a focus on sustainable innovation and technology-driven solutions to address pressing environmental challenges. Learn,
Benefits of Attending Beyond Intelligence 2024
- Resource Efficiency and Infrastructure Resilience: Learn about strategies to optimise resource use and enhance the resilience of critical infrastructure.
- Sustainable Energy and Environmental Conservation: Dive into discussions on renewable energy sources, biodiversity preservation, and effective environmental conservation practices.
- Innovation for Sustainable Development: Engage in sessions promoting innovation, environmental awareness, and the adoption of eco-friendly practices.
- Responsible Business Practices: Gain insights into fostering sustainability through ethical financial strategies, transparent corporate operations, and responsible business practices.
- Inclusive Decision-Making for Sustainability: Understand the role of human behaviour, societal values, and cultural perspectives in driving inclusive decision-making processes for sustainable development.
Author Guidelines
Guidelines for Abstract Submission:
- Language: Abstracts must be written in English.
- Length: Limited to one paragraph with 200-250 words.
- Format: Submit in MS Word (.doc or .docx) document format.
- Content: Abstracts should provide an informative summary of the original work. Include a brief biography with your abstract, following the example provided in the template.
- Formatting: Center-align the Title, Author's Names, and Affiliations. Underline the presenting author's name.
- Submission: Please submit your abstract through the designated submission portal.
- Acknowledgment: Upon abstract submission, you will receive an acknowledgment email within three working days.
Evaluation Process
Guidelines for Full Paper Submission
If your abstract has been accepted and the registration fee for Beyond Intelligence 2024 has been paid, you are invited to submit the full paper. Please adhere to the following guidelines for the submission:
- Total number of pages: 6-8 in double-column format
- Language: English (checked for grammar and language errors)
- Tables, figures, and images should be properly named and of high quality.
- Keywords should be written in lowercase letters (except for names/scientific names) and separated by commas.
- Affiliation names, including the country, must be provided.
- Each paper should be structured into the following sections:
- Background, Motivation, and Objective
- Statement of Contribution/Methods
- Results, Discussions, and Conclusions
Once your full paper is prepared according to the above instructions, please proceed to submit it through the provided link. Submit your Full paper Here.
Session Lists
