Digital Humanities Conference 2025
14 - 18 July 2025 | Lisbon, Portugal
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 1st Aug 2025, 07:44:49am WEST
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Session Overview |
Session | ||
LP-23: Mapping and Visualising Conflict, Violence and Slavery
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Presentations | ||
Navigating Disconcertment in Map-Making: How to Turn Conflict and Collaboration into Accessible Geodata 1Universität Basel, Switzerland; 2Universität Bern, Switzerland The paper explores the role of maps as epistemic tools in the Stadt.Geschichte.Basel project, emphasizing how spatial data dynamics and moments of disconcertment foster interdisciplinary collaboration. By embracing ambiguity and conflict in map-making, the authors create accessible, inclusive outputs that reimagine historical narratives and advance participatory scholarship. The Cartography of Crisis: A Digital Humanities Approach to Visualizing Patterns of Police Violence Susquehanna University, United States of America This study employs digital humanities methods and hierarchical hexagonal spatial indexing (H3) to analyze patterns of police violence against African Americans across the United States. Using Local Moran's I statistics on over 13,000 incidents between 2015-2024, it identifies significant geographic clusters and transition zones, revealing how policing practices vary across jurisdictional boundaries. Visualizing Resistance in the Archive of Slavery Emory University, United States of America This paper presents a case study of a data visualization involving the Trans-Atlantic Slave Trade Database. We explain how theories about historical trauma and the limits of recovery guided our work. We describe our design process, and propose a series of questions that can guide future visualizations of sensitive data. |