1. Casey Alt - Information Science + Information Studies - Duke University Casey Alt Information Science + Information Studies Duke University Casey Alt Information Science + Information Studies Duke University Re-Envisioning the Humanities Information Visualization and Collaborative Academic Research

2. Casey Alt - Information Science + Information Studies - Duke University 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 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 Acknowledgments

3. Casey Alt - Information Science + Information Studies - Duke University 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 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 Digital Humanities (Version 1.0)

4. Casey Alt - Information Science + Information Studies - Duke University Benefits of version 1.0 Increased geographic access to archives Ease of distribution and replication of documents Extremely granular, corpus-wide searchability of archives Increased geographic access to archives Ease of distribution and replication of documents Extremely granular, corpus-wide searchability of archives

5. Casey Alt - Information Science + Information Studies - Duke University 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? 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? Digital Humanities (Version 2.0)

6. Casey Alt - Information Science + Information Studies - Duke University Collaborative Timeline Collaborative Genealogy Collaborative Timeline Collaborative Genealogy hpsCollaboratory

7. Casey Alt - Information Science + Information Studies - Duke University Collaborative Timeline

8. Casey Alt - Information Science + Information Studies - Duke University Collaborative Timeline

9. Casey Alt - Information Science + Information Studies - Duke University Collaborative Genealogy

10. Casey Alt - Information Science + Information Studies - Duke University Collaborative Genealogy

11. Casey Alt - Information Science + Information Studies - Duke University Collaborative Genealogy

12. Casey Alt - Information Science + Information Studies - Duke University Collaborative Genealogy

13. Casey Alt - Information Science + Information Studies - Duke University Collaborative Genealogy an adaptive, data-driven, real-time graphical display and interface for genealogical relationships among a network of data objects of any type features discussion fora (with email integration), multimedia document uploading & archiving, graphical data tools single online Flash interface from any platform an adaptive, data-driven, real-time graphical display and interface for genealogical relationships among a network of data objects of any type features discussion fora (with email integration), multimedia document uploading & archiving, graphical data tools single online Flash interface from any platform

14. Casey Alt - Information Science + Information Studies - Duke University Systems Architecture

15. Casey Alt - Information Science + Information Studies - Duke University History of Bioinformatics timeline (http://hrst.mit.edu) Stanford University Department of Biochemistry genealogy (http://hpslab.stanford.edu/projects/StanfordBio chemistry) Genealogy of storytelling videogames (CCVA exhibition) (http://hpslab.stanford.edu/gamegen) Genealogy of programming languages History of Bioinformatics timeline (http://hrst.mit.edu) Stanford University Department of Biochemistry genealogy (http://hpslab.stanford.edu/projects/StanfordBio chemistry) Genealogy of storytelling videogames (CCVA exhibition) (http://hpslab.stanford.edu/gamegen) Genealogy of programming languages Current and Future Implementations

16. Casey Alt - Information Science + Information Studies - Duke University 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 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

17. Casey Alt - Information Science + Information Studies - Duke University 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 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

18. Casey Alt - Information Science + Information Studies - Duke University RHISOME adapted from Deleuze + Guattari’s notion of the rhizome in Milles Plateaus R DF-BASED H APTIC I NTERFACE FOR S EMANTIC O BJECT M APPING & E DITING a visual interface for mapping objects in a collaboratively constructed semantic web allows for complex relationship mapping, browsing, and AI-based analysis adapted from Deleuze + Guattari’s notion of the rhizome in Milles Plateaus R DF-BASED H APTIC I NTERFACE FOR S EMANTIC O BJECT M APPING & E DITING a visual interface for mapping objects in a collaboratively constructed semantic web allows for complex relationship mapping, browsing, and AI-based analysis

19. Casey Alt - Information Science + Information Studies - Duke University 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 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

20. Casey Alt - Information Science + Information Studies - Duke University hpsCollaboratory Tim Lenoir Casey Alt Vince Dorie Zach Pogue Lilly Irani Hilary Spencer Ben Dean Tim Lenoir Casey Alt Vince Dorie Zach Pogue Lilly Irani Hilary Spencer Ben Dean

21. Casey Alt - Information Science + Information Studies - Duke University Contact info Casey Alt caseyalt@duke.edu caseyalt.com hpslab.stanford.edu Casey Alt caseyalt@duke.edu caseyalt.com hpslab.stanford.edu