Conservation tools: the next generation of engineering–biology collaborations

Author:

Schulz Andrew K.12ORCID,Shriver Cassie3ORCID,Stathatos Suzanne4ORCID,Seleb Benjamin3ORCID,Weigel Emily G.3ORCID,Chang Young-Hui3ORCID,Saad Bhamla M.5ORCID,Hu David L.23ORCID,Mendelson Joseph R.36ORCID

Affiliation:

1. Haptic Ingelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany

2. Schools of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

3. Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA

4. Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA

5. Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

6. Zoo Atlanta, Atlanta, GA 30315, USA

Abstract

The recent increase in public and academic interest in preserving biodiversity has led to the growth of the field of conservation technology. This field involves designing and constructing tools that use technology to aid in the conservation of wildlife. In this review, we present five case studies and infer a framework for designing conservation tools (CT) based on human–wildlife interaction. Successful CT range in complexity from cat collars to machine learning and game theory methodologies and do not require technological expertise to contribute to conservation tool creation. Our goal is to introduce researchers to the field of conservation technology and provide references for guiding the next generation of conservation technologists. Conservation technology not only has the potential to benefit biodiversity but also has broader impacts on fields such as sustainability and environmental protection. By using innovative technologies to address conservation challenges, we can find more effective and efficient solutions to protect and preserve our planet’s resources.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ethorobotic rats for rodent behavioral research: design considerations;Frontiers in Behavioral Neuroscience;2023-12-21

2. Creating the tools to conserve wildlife;2023-10-24

3. Bioinspired robots can foster nature conservation;Frontiers in Robotics and AI;2023-10-18

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