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                  <text>Classes and the professors that teach them encourage learning and exploration for Vassar student. This collection houses projects and essays from different courses in Vassar's catalogue. </text>
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                <text>Geese Population Effects on Water Quality</text>
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                <text>Balance in ecosystems is both crucial and fragile. When one species experiences population flux, others change in response. Often, dramatic population change can lead to permanent alteration of ecosystems. Human activity is a major driving force in these changes. Infrastructure, chemical use, and other practices can decrease certain populations, which leads to subsequent disruption in other species. In Poughkeepsie, the Canada goose is one such species that is currently overpopulated, possibly due to endangerment of predator groups. They have a resident population in many of Vassar College’s water bodies. Because of their unprecedented eco-systemic prevalence, the geese put the rest of these water bodies’ balance under stress; when a large group of geese settles in one region, their fecal matter can be especially dangerous for the nutrient levels of that region’s water. High nutrient contamination can cause harmful algal blooms that block out sunlight and decrease dissolved oxygen content. The purpose of this study is to determine whether the high Canada goose population impacts nutrient levels, organic matter content, and overall water quality of Vassar College’s ponds and lakes.</text>
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                <text>Kaltsas, Madeline; Sweeney, Megan; Volpone, Aidan</text>
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              <text>Menking, Kirsten</text>
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                <text>Growing Toward Sustainability? The Logging Predicament in Clatsop County, Oregon</text>
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              <text>Batur, Pinar</text>
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                <text>Intentional Communities: A Utopian Reimaging of Green Building</text>
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                  <text>This collection holds final projects for Cartography: Spatial Data Visualization with GIS (GEOG 220) and GIS: Spatial Analysis (GEOG 224). The project files are hosted in Vassar's digital library.</text>
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              <text>Curri, Neil</text>
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                <text>2024 Indian Election Results Compared to Religious Demographics </text>
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                <text>The Bharatiya Janata Party (BJP) and the Shiv Sena are the two parties shown in the center map which depicts the election results and the composition of religious demographics. The center map shows districts in which the BJP and Shiv Sena won the elections respectively. These maps compare the election results of these two parties to the composition of Muslim versus Hindu identity in these areas because both parties are known for being Hindu nationalist parties. The map shows how the religious demographics of an area might influence the popularity of polictical parties where the politics are heavily influenced by region. </text>
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                <text>Kennedy, Naya</text>
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