CACHE Digital Archive
CACHE Digital Archive (College Academic and Historical Experience) is a digital platform that collects, preserves, and distributes digital material. The Kalamazoo College Archives contains a broad range of materials on the 185-year history of Kalamazoo College, including administrative records, biographical files, publications, scrapbooks, photographs, and more.
At this time many of our archived materials are scanned and shared via PDF where a limited amount of metadata is stored. If you would like to work with a specific material and require accommodations due to a physical or mental impairment we are here to help! For accommodations in using archived materials please email the College Archivist at archives@kzoo.edu.
Recent Submissions
Item Richard Koenig: Photographic Prevarications(PhotoEd Magazine, 2010)Originally published in PhotoEd, Issue Number 30, Winter 2010.Item Summary of Conetop Museum Internship(2024-11-01)This document entails a full summary of my internship with the Conetop Brewing Museum located in Vicksburg, Michigan. For the months of June-October 2024, I served the role of marketing research intern, logging more than 250 hours. The internship was primarily asynchronous, as I was working a full-time job during the summer in Seattle, Washington. The internship process, from its cultivation to the final project was original, creative, and dynamic in nature.Item Growth Through Service : A Personal Reflection on My Summer Internship(2024-09-27)For my Senior Integrated Project, I did an experiential internship with El Concilio Kalamazoo. I first encountered El Concilio when I volunteered with the organization as part of my service-learning component in my Critical Ethnic Studies course. Working at El Concilio was the first time I was involved with the Kalamazoo Community and through it, I grew a passion for working with the community.Item Strategic Moves and Legal Gambits : Analyzing The Impact of Partisanship and Donald Trump’s Ongoing Legal Proceedings on the 2024 Election(2024-11-01)The 2024 presidential election illustrates the increasing effects of polarization determining vote choice and the potential implications it may have on American democracy. With increasing polarization, a person’s partisan attachment becomes an increasingly more reliable heuristic determining their vote choice, which leaves a few voters that choose to identify as Independent up for grabs and thus the likely deciders of the election. Using recent Gallup Polling data, it can be seen that even Independents tend to lean in one direction politically allowing us to view, within game theoretic models, how their slight preference for one party could a) effect the outcome of the election, and b) could lead to changes in American democracy. Through carful game theoretical modeling, I find that due to polarization a voter will vote in accordance with their partisanship rather than their ideological preference. Furthermore, I found that if partisan behavior takes place and Donald Trump is elected there is the potential for an expansion of presidential power based on the Constitutionality of self-pardoning.Item United States v. Google : A Game-Theoretical Analysis of Modern Antitrust Enforcement(2024-11-01)In the digital era, technology giants have reshaped the global economy, but their unprecedented influence has raised critical concerns around monopolistic practices and market control. This paper explores the United States Department of Justice’s (DOJ) antitrust case against Google, framing it within the broader context of U.S. antitrust law, and examines the implications of the DOJ's strategies through a game-theoretical model. The analysis highlights how historical antitrust precedents, such as the Sherman Act and landmark cases like Standard Oil and AT&T, inform current regulatory approaches toward Big Tech. With Google’s substantial market share in search and digital advertising, the DOJ’s lawsuit seeks to prevent monopolistic practices that allegedly stifle competition and consumer choice. This study applies an extended game-theoretical model to simulate strategic interactions among the DOJ, Google, and the judicial system, identifying negotiation as a theoretically optimal path for both sides. Yet, contrary to model predictions, the DOJ’s decision to pursue litigation reflects political motivations, the need for durable legal precedent, and the intention to influence both national and international regulatory standards. Through this case, the DOJ aims to achieve a broad-based regulatory impact, setting boundaries for market dominance that may apply across the tech industry. The outcomes of this case bear significant implications for future antitrust enforcement, the operational strategies of tech companies, and judicial standards for addressing monopolistic behavior in digital markets. This analysis underscores the strategic complexities of regulating Big Tech and the evolving relationship between government authority and corporate power in the digital age.
Communities in CACHE
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