This thesis project incorporates podcasts and high resolution digital imagery visualizations into a single online exhibit to democratize archival material on the web. It employs contemporary new museology and digital history methodological frameworks, and utilizes the burgeoning medium of podcasting to increase public understanding and interaction with an historical period. For this project I have partnered with the Florida Historical Society and have utilized original materials from their collection relating to the colonial fur trade in Florida. The study of the North American fur trade has recently expanded to include more information about the indigenous societies engaged in the trade through closer examination of primary source documents, and this digital exhibit, hosted by the Florida Historical Society, created a series of module entities to achieve that end. The exhibit consists of three sections, each exploring a different aspect of the traditional discourse surrounding the colonial American fur trade in Florida, including the voices of indigenous populations and their agency in trade negotiations. Each podcast has aired as part of the Florida Historical Society's weekly radio magazine, Florida Frontiers, which is broadcast throughout the state, and is archived on the Society's website. The exhibit enhances the scholarly discussion on public history and digital history, while utilizing new media such as podcasts and interactive digital maps to create a more immersive user experience with primary source material to answer questions concerning the colonial fur trade in Florida. The project has combined new mediums of historical interpretation with traditional museum methodology and historical analysis to create a multi-faceted, unique digital experience on the web.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-6542 |
Date | 01 January 2017 |
Creators | DiBiase, Benjamin |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses and Dissertations |
Page generated in 0.0018 seconds