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Hi-Fi Lab

The aim of the Hi-Fi lab is a nature-based acoustic solutions lab for biodiversity conservation. The lab primarily serves undergraduate researchers and is actively engaged with other departments to develop graduate student mentorships.

The ultimate aim is to research sound in the environment and its impact on the vitality of society, wildlife, and natural systems.

This lab will seek to enhance understanding of the undergraduate and graduate research mentorship; the engagement and development of undergraduate interdisciplinary research; partner and engage with NGOs and other conservation organizations for real world application and science communication; and to apply and improve knowledge using authentic equipment in real-world applications. 

Global Biodiversity Loss

The current sounds of our world are under threat of disappearing. We are experiencing the sixth mass extinction of the world with three-quarters of today's animal species predicted to vanish within 300 years.

Mission: Develop and implement methods and tools for the implementation of a global biodiversity monitoring system.

Image by Backroad Packers

Promote Healthy Ecosystems

Health, ecological, and agricultural systems are highly connected systems and susceptible to adverse changes from climate and land use change with challenges on invasive species, noise, and disturbance events.

Mission: work with local community and undergraduate researchers to study and improve challenges such as noise pollution in regional and global communities, sounds of insects that promote healthy agricultural practices or detection of vector-borne disease, and land stewardship.

Image by Diego Vitali

Big Data Challenges with Remote Sensors

Current remote sensors allow collection of data that can improve our understanding of trends in agricultural resource conditions, biodiversity, and habitat degradation, but result in terabytes of unstructured data.

Mission: develop AI-based tools for automated systems for unstructured data that translates into action-based implementation.

Image by Jorge Ramirez
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