Conservation Biology and
Wildlife Protection


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.


"Synergizing AI and Conservation: Safeguarding Biodiversity"

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:

Who Can Join

Research Scholars
Technology Experts
Students & Alumini’s
Editorial Board Members of Journals
Government Officials
Industry Professionals


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


    Effective Endangered Species Monitoring:
  • Implementation of AI technologies is expected to provide real-time insights into the behavior and status of endangered species, enabling proactive conservation measures..
    Informed Biodiversity Conservation:
  • 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.
    Strategic Combat Against Illegal Wildlife Trade:
  • 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.
    Technological Advancements in Conservation Practices:
  • 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.

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

To be a Presenter please submit your Research Abstract
To be a Listener, Please register