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Re-Envisioning the Humanities. Information Visualization and Collaborative Academic Research. Casey Alt Information Science + Information Studies Duke University. Acknowledgments.
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Re-Envisioning the Humanities Information Visualization and Collaborative Academic Research • Casey Alt • Information Science + Information Studies • Duke University
Acknowledgments • This presentation is representative of work done in the hpsCollaboratory under the faculty direction of Tim Lenoir (Program in History and Philosophy of Science at Stanford University) • My collaborator for both the collaborative timeline and genealogy has been Vince Dorie (masters student in Biomedical Informatics at Stanford) • The majority of this work has been funded by a grant from the Sloan Foundation and Dibner Institute
Digital Humanities (Version 1.0) • the pervasive push to digitize non-digital media documents and archives and make them available online • a focus on acquiring born-digital media documents during or shortly after their creation • an attempt to preserve older digital media documents and ensure their migratability to future platforms
Benefits of version 1.0 • Increased geographic access to archives • Ease of distribution and replication of documents • Extremely granular, corpus-wide searchability of archives
Digital Humanities (Version 2.0) • can we leverage the digital nature of the new archives so as to provide greater data analysis and access, such as clustering by language content? • can we provide differing visual representations of the data so as to draw out higher level relationships among documents? • can we develop intuitive interfaces to archives that allow the historical actors themselves to contribute to and richly document their own archives?
hpsCollaboratory • Collaborative Timeline • Collaborative Genealogy
Benefits of version 2.0 • Improved ability to analyze and understand relationships among diverse documents and collections • Greater ability to integrate and display different digital media formats into a single research framework • Enhanced capacity and enthusiasm for large-scale, global collaborative projects • Immense excitement from the humanities, arts, medical, and social science communities regarding further investigation into digitally-mediated research
Building version 3.0 (semantic web & expert systems) • an interface with multiple views into the data (geographic, time-based, 3D affinity models, etc) • a system that allows for mapping any type of relationship connection between data objects, including genealogical, causal, associative, constituitive, adjancency, similarity, identity, etc) • a semantic web data structure that allows for machine readability and computation of relationships • simple inference-based artificial intelligence models for data mining and novel relationship discovery
RHISOME • adapted from Deleuze + Guattari’s notion of the rhizome in Milles Plateaus • RDF-BASED HAPTIC INTERFACE FOR SEMANTIC OBJECT MAPPING & EDITING • a visual interface for mapping objects in a collaboratively constructed semantic web • allows for complex relationship mapping, browsing, and AI-based analysis
Graphical knowledge environments as a new vision for the humanities • as publishing costs rise and academic presses decrease production, dynamic, collaborative, archive-based knowledge environments become an attractive option for presenting academic research • as university research becomes increasingly proprietary and protected, one could imagine a pay-for-use model for browsing knowledge environments • as AI and web-searching technology advance and the semantic web becomes more widespread, one could imagine visual, self-maintaining knowledge environments that update themselves with new content and analyses
Contact info • Casey Alt • caseyalt@duke.edu • caseyalt.com • hpslab.stanford.edu