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Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Fighting Waste And Feeding People: Exploring The Context Of Campus Food Waste And Student Recovery Efforts, Sarah Becker, Max Stout, Maddie Kuklentz, Savona Cerra
Fighting Waste And Feeding People: Exploring The Context Of Campus Food Waste And Student Recovery Efforts, Sarah Becker, Max Stout, Maddie Kuklentz, Savona Cerra
Environment and Sustainability Presentations
Wismer on Wheels is dedicated to our mission of not only reducing food waste on campus, but also reducing food insecurity in our wider community. The work of our team of over 35 student volunteers reflects that dedication. This past year we became the official Food Recovery Network chapter for Ursinus, broadened outreach efforts on- and off-campus, and boosted food waste education, all while recovering unprecedented quantities of food. In this presentation, we celebrate the accomplishments of our dedicated volunteers while exploring deeper questions about food waste on the Ursinus campus. Why are we seeing such massive food recovery numbers …
International Energy Geopolitics, Bert Chapman
International Energy Geopolitics, Bert Chapman
Libraries Faculty and Staff Presentations
Overview of international energy geopolitical trends. Emphasizes the importance of the Persian Gulf, South China Sea, East China Sea, Russia, and the Arctic to U.S. and international economic and strategic developments. Stresses the continuing importance of fossil fuels in domestic and international energy consumption, the variety of energy sources being used by various global regions, the potential for military conflict over access to natural resources, and how emerging energy leaders will determine global energy, environmental, and international security developments.
Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard
Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard
Economics Faculty Publications
This presentation was part of a staff workshop focused on empirical methods and applied research. This includes a basic overview of regression with matrix algebra, maximum likelihood, inference, and model assumptions. Distinctions are made between paradigms related to classical statistical methods and algorithmic approaches. The presentation concludes with a brief discussion of generalization error, data partitioning, decision trees, and neural networks.