"Synergizing AI and Conservation: Safeguarding Biodiversity"
Conservation Biology and
Wildlife Protection
Objective:
Explore the integration of artificial intelligence in Conservation Biology and Wildlife Protection, emphasizing AI applications for real-time monitoring of endangered species, the role of data analytics and machine learning in biodiversity conservation, and AI-assisted strategies to combat illegal wildlife trade.
Theme:
This session aims to showcase the transformative potential of artificial intelligence in the field of conservation biology, emphasizing its applications in monitoring and protecting endangered species, utilizing data analytics and machine learning for informed biodiversity conservation, and deploying AI-assisted approaches to address the escalating challenges of illegal wildlife trade. By bridging technology and conservation efforts, the session seeks to demonstrate how AI can enhance the efficacy of wildlife protection initiatives and contribute to the broader goals of preserving global biodiversity.
Conservation Biology and Wildlife
Protection
is
contribution to
The
Sustainable
Development Goals:
Goal 7: Affordable and Clean Energy
Delve into the transformative potential of AI-driven innovations in renewable energy
technologies, revolutionising the accessibility and sustainability of energy
solutions worldwide.
Examine the pivotal role of comprehensive research and analysis in AI, ensuring
equitable access to reliable and sustainable energy sources, thereby advancing
global energy security and resilience.
Goal 9: Industry, Innovation, and Infrastructure
Investigate how AI contributes to wildlife sustainability while concurrently
fostering the development of environmentally friendly infrastructure.
Examine the transformative influence of AI on sustainability within the wildlife
conservation environment, driving the adoption of eco-friendly practices and
sustainable industrialisation through enhanced data analytics, monitoring
capabilities, and feedback mechanisms.
Goal 12: Responsible Consumption and Production
Delve into the paramount significance of AI in the progression of combating illegal
wildlife trade and enhancing wildlife monitoring practices.
Explore methodologies for implementing wildlife monitoring techniques, with an
emphasis on optimising Intelligent Anti-Poaching Technology practices and preserving
wildlife populations.
Goal 14: Life Below Water
Explore the complexities of submarine ecosystems, contributing to conservation
endeavours aimed at safeguarding marine life and habitats through dedicated research
initiatives in the field of conservation biology.
Engage in an in-depth examination of submarine ecosystems, focusing on strategies to
mitigate ocean acidification and preserve coastal and marine areas through
protective and restorative measures.
Goal 15: Life on Land
Investigate the role of AI in wildlife conservation, exploring innovative solutions
for a sustainable future while aiming to address challenges and promote the
conservation and sustainable use of terrestrial ecosystems.
Examine the critical role of AI-driven technologies in land conservation efforts,
addressing key challenges in land management to enhance sustainability and
environmental protection.
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 applications for monitoring and protecting endangered species.
2 Data analytics and machine learning in biodiversity conservation.
3 AI-assisted approaches for combating illegal wildlife trade.
4 Wildlife Monitoring with AI-Enabled Camera Traps
5 Bioacoustic Monitoring and Species Identification
6 Satellite Remote Sensing and AI for Habitat Monitoring
7 Machine Learning for Biodiversity Data Analysis
8 Predictive Modeling for Species Distribution
9 Intelligent Anti-Poaching Technologies
10 Behavioral Analysis for Conservation
11 Genomic Data and AI in Conservation Genetics
12 Community-Based Conservation with AI
13 Blockchain and AI for Combating Wildlife Trafficking
Outcomes:
- Implementation of AI technologies is expected to provide real-time insights into the behavior and status of endangered species, enabling proactive conservation measures..
Effective Endangered Species Monitoring:
- The integration of data analytics and machine learning is anticipated to enhance conservation strategies by analyzing complex ecological data, leading to more precise and informed decision-making.
Informed Biodiversity Conservation:
- AI-assisted approaches are expected to bolster efforts in detecting, preventing, and prosecuting illegal wildlife trade, contributing to global initiatives to curb this illicit activity.
Strategic Combat Against Illegal Wildlife Trade:
- The session aims to foster collaboration between conservation biology and AI, showcasing how technological innovations can be seamlessly integrated into conservation practices, ultimately contributing to the protection and preservation of diverse ecosystems and wildlife.
Technological Advancements in Conservation Practices:
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
