Environmental Internship Program - 2023 Booklet

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Riyan Charania ’26 COMPUTER SCIENCE FOOD SYSTEMS AND HEALTH PROJECT TITLE Farm Project Field Assistant ORGANIZATION(S) Rubenstein Lab, Department of Ecology and Evolutionary Biology, Princeton University LOCATION(S) Princeton, New Jersey MENTOR(S) Daniel Rubenstein, Class of 1877 Professor of Zoology, Emeritus, Professor of Ecology and Evolutionary Biology, Emeritus; Gina Talt, Project Manager, Food Systems, Office of Sustainability Due to an increasing global demand for food, it’s important that we have more productive and environmentally friendly growing methods. To address this, we researched the “three sisters” Native American agricultural growing technique, which utilizes mutualisms between corn, beans and squash to maximize their productivity. We tested different designs of growing these crops and analyzed each configuration by collecting field data through Arable sensors. These sensors provided information about factors such as plant health, environmental temperature and precipitation. We also collected data by setting up insect traps, collecting soil moisture data and taking drone photos of the field. We then used the statistical analysis software JMP to graph and analyze the data for insights into the potential benefits of using the three sisters farming method. Through this internship, I learned just how technology can be integrated into agriculture, and I hope to continue finding innovative ways to use technology to create a more sustainable future. 52

Sava Evangelista ’26 COMPUTER SCIENCE PROJECT TITLE Probing Microbial Colonization of Plants During Drought to Enable Microbiome-mediated Resilience in Crops ORGANIZATION(S) Conway Lab, Department of Chemical and Biological Engineering, Princeton University LOCATION(S) Princeton, New Jersey MENTOR(S) Jonathan Conway, Assistant Professor of Chemical and Biological Engineering; Ting Jiang, Postdoctoral Research Associate, Chemical and Biological Engineering; Chao Liao, Postdoctoral Research Associate, Chemical and Biological Engineering The primary goal of my project was to grow plants in a simulated drought environment and to analyze their root microbiomes. This data will enable us to identify which bacterial strains become enriched during drought and study them in hopes of creating techniques that would allow plants to survive better in drought conditions. I helped prepare farmland for the high tunnel used for the research and participated in many other projects at the Stony Ford Seed Farm. Additionally, I assisted postdoctoral researchers with their gene knockout experiments, took root measurements and imaged seedlings. Through this project and with the guidance of my mentors, I have gained a lot of lab experience and more general science knowledge and I was especially interested to observe the amount of meticulosity that goes into each step of an experiment. Although I don’t think I will pursue work in the chemical and biological engineering field, the internship was helpful in providing me with a further understanding of the sciences. * This internship is connected to the HMEI Water and the Environment Grand Challenges project, “Probing Microbial Colonization of Plants During Drought to Enable Microbiome-Mediated Resilience in Crops.” FOOD SYSTEMS AND HEALTH 53

Riyan Charania ’26<br />

COMPUTER SCIENCE<br />

FOOD SYSTEMS<br />

AND HEALTH<br />

PROJECT TITLE<br />

Farm Project Field<br />

Assistant<br />

ORGANIZATION(S)<br />

Rubenstein Lab,<br />

Department of Ecology<br />

and Evolutionary Biology,<br />

Princeton University<br />

LOCATION(S)<br />

Princeton, New Jersey<br />

MENTOR(S)<br />

Daniel Rubenstein,<br />

Class of 1877 Professor<br />

of Zoology, Emeritus,<br />

Professor of Ecology and<br />

Evolutionary Biology,<br />

Emeritus; Gina Talt,<br />

Project Manager, Food<br />

Systems, Office of<br />

Sustainability<br />

Due to an increasing global demand for food,<br />

it’s important that we have more productive and<br />

environmentally friendly growing methods. To<br />

address this, we researched the “three sisters”<br />

Native American agricultural growing technique,<br />

which utilizes mutualisms between corn, beans<br />

and squash to maximize their productivity. We<br />

tested different designs of growing these crops<br />

and analyzed each configuration by collecting<br />

field data through Arable sensors. These sensors<br />

provided information about factors such as<br />

plant health, environmental temperature and<br />

precipitation. We also collected data by setting<br />

up insect traps, collecting soil moisture data<br />

and taking drone photos of the field. We then<br />

used the statistical analysis software JMP to<br />

graph and analyze the data for insights into<br />

the potential benefits of using the three sisters<br />

farming method. Through this internship, I<br />

learned just how technology can be integrated<br />

into agriculture, and I hope to continue finding<br />

innovative ways to use technology to create a<br />

more sustainable future.<br />

52

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