Student and Faculty Work

Ongoing Faculty Projects

Faculty and students are engaged in interdisciplinary projects across the Humanities Division and University-wide.

  • Alternative Reality Games and Transmedia Storytelling

    These projects incorporate textual narrative, video, audio, email, websites, social media, original software, and even live performance. The stories in these games are often broken into discrete pieces that player groups have to actively rediscover, reconfigure, and influence through their actions. Patrick Jagoda builds and uses these games to explore issues pertaining to the nature of play in our postindustrial period, spatial and collective storytelling practices, digital archiving, and questions of the relationship between critical theory and new media design.


  • Media History and Cultural Analytics

    Hoyt Long uses computational methods to study the history of literary modernism across the Pacific and am currently working toward a larger book project called Measures of Difference: Quantitative Reasoning and the Origins of Modern Japanese Literature. The book demonstrates how digital methods can augment our knowledge of literary history while tracing the longer history of how writers and critics in Japan have sought to translate words into numbers.


Recent MAPH Student Thesis Projects

"After the Award: The Booker Prize and Cultural Capital" ▬ A study of the circulation of cultural capital using social network analysis to examine connections between literary prizes and book reviews  Matthew Aspeel, MAPH '16 

monsueto 1

"Mapping Generic Features of Russian Scientific Fantasy Through Distant Reading"  A combination of natural language processing and topic modeling methods to examine stylistic and thematic features in Russian science fiction of the early twentieth century  Grace Dwyer, MAPH '16 

monsueto 2

"The Ghost of Magical Realism in World Literature"  An investigation of the lexical cohesiveness of magical realism as a narrative mode using word vector analysis and supervised classification techniques  Stefano Cognato

monsueto 3​​