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  • Presentation | ED31F: Multisector Dynamics: Preparing the Next Generation of Researchers to Meet Transdisciplinary Environmental Challenges Poster
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  • ED31F-0569: Design, Build, Deploy: CU GeoData’s Lower-Cost Sensor Network as a Blueprint for Undergraduate Engagement with Science and Local Communities
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Author(s):
Nour Kastoun, Cornell University (First Author, Presenting Author)
Samuel Jurado, Cornell University
Kylie Miller, Cornell University
Danna Acosta, Cornell University
Callum Farber, Cornell University
Lucy Alcoba, Cornell University
Jack Halberstadt, Cornell University
Avinash Aravind, Cornell University
Jaden Lau, Cornell University
Leah Becker, Cornell University
Roberto Toledo, Cornell University
Nawal Bhatti, Cornell University
Janice Yohannan, Cornell University
Juliana Chen, Cornell University
Misato Chinchilla, Cornell University
Helena Donnelly, Cornell University
Sophia Doyle, Cornell University
Uma Grover, Cornell University
Orion Hoch, Cornell University
Rich Hu, Cornell University
Raashid Husain, Cornell University
Lillian Hwang-Geddes, Cornell University
Evelyn Keefe, Cornell University
Simran LaBore, Cornell University
Melinda Lin, Cornell University
Jesse McDonald, Cornell University
Sophie Morgan, Cornell University
Henry Mu, Cornell University
Leif Rogers, Cornell University
Aya Saute, Cornell University
Nick Spoto, Cornell University
Rakshith Sreeram, Cornell University
Neha Sudarshan, Cornell University
Dora Xu, Cornell University
Josh Yiu, Cornell University


Scientific sensors and equipment are often expensive, preventing students and communities from accessing important data about their local environments. Low-cost sensors are increasing in popularity amongst scientists, and could be a tool to build connections between college students and communities. CU GeoData, a student-run project team at Cornell University, is developing a sensor network around Cayuga Lake to monitor environmental variables including soil moisture, air quality, winds, and precipitation. The team will test its student-developed sensors against this network as well as analyze this data to better understand local weather patterns (such as lake effect snow) and their impacts on the local environment. This project is a model for how undergraduate students can develop research projects based in community needs and participate in collaborative fieldwork experiences. Successful applications currently include a partnership with the Paleontological Research Institute (a local organization that is connected with K-12 schools), showcase and mentoring events at Cornell, and maintaining publicly-accessible weather data on a Cornell website used by regional farmers.



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