Our Mission
The integration of Artificial Intelligence (AI) into animal welfare research is an emerging and interdisciplinary field. The Research Center AI for Animal Health and Welfare combines the strengths of computer science, particularly in AI and machine learning, with insights from animal behavior, veterinary science, and ecology. This collaborative approach offers novel opportunities for research development, external funding, and enhancing the university’s scientific reputation. Below is a detailed breakdown of the key aspects related to this topic.
1. Line of Research: Automated Animal Behavior Monitoring
- AI can be used to develop tools to continuously monitor animal behavior (e.g., movements, body postures, facial expressions, vocalizations) in various settings (zoos, farms, laboratories, or in the wild).
- Applications: Predictive algorithms for detecting illness, stress, discomfort or emotions in animals.
- Technologies: Computer audition, machine learning, IoT sensors, and wearables for real-time data collection and analysis.
2. Synergies Between Computer Scientists and Animal Scientists
Creating synergies between computer scientists and animal scientists is essential for fostering interdisciplinary research. Some of the key areas for collaboration include:
A. Data Collection and Analytics
- Animal scientists provide domain knowledge and data (e.g., animal behavior, vocalizations, health metrics), while computer scientists develop AI algorithms to analyze and interpret this data.
- Synergy: Collaborations can lead to improved AI models tailored to animal health and welfare, with deeper insights into the unique needs of different species.
B. Development of AI-Driven Tools
- Animal scientists, veterinarians and wildlife managers can work with AI experts to co-create diagnostic tools, monitoring systems, and data-driven models that can be used in both research and practical settings like farms, zoos or wildlife reserves.
- Synergy: Building AI applications that have real-world utility in improving animal health and welfare.