Faculty Summer Stipends for Curricular Innovation

This program grants graduate faculty members summer stipends so that they can design new graduate courses with significant public and/or digital humanities scholarship components. See the faculty summer stipend flyer (PDF).

2021 Awardees

Run in collaboration with Sharing Our Story, Assistant Professor of Music Shalini R. Ayyagari’s course “Transmedia and Sounding Publics: Refugee Stories in Pittsburgh” will involve developing multimedia skills, conducting ethnographic research, working with local non-profit organizations, and collaborating with refugee communities in Pittsburgh.


Associate Professor of Communication Caitlin Bruce will foreground alternative forms of scholarly production, such as websites, podcasts, and blog posts; site visits; and partnerships with community organizations in her course, “Rhetoric of Space and Place in Western PA: Generating Scholarship with Place.”


In Associate Professor of History Laura Lovett’s “The Public-Facing History Laboratory” course, students will engage with public partners, such as museums, libraries, archives, historical societies, and other local organizations, to create experimental and collaborative historical products and tools for the public.


2020 Awardees

Raja AdalFor “Digital and Critical Approaches to Asian History,” Raja Adal, Assistant Professor of History, updated an introductory graduate seminar focusing on Asian history to include working with datasets, data analysis and visualization and culminating in a substantial blogpost for an educated general audience.


Elizabeth PittsElizabeth Pitts, Assistant Professor of English, created the course “Public Communication of Science and Technology” in conjunction with an exhibit she organized called Art's Work in the Age of Biotechnology. She aims with these projects to facilitate greater public participation in the shaping of emerging technologies.


Annette VeeAssociate Professor of English Annette Vee developed the course “Automated Writing from Amanuenses to AI” as a historical and technical exploration of why people have developed automated writing systems (AWS), what challenges AWS offer, and how to implement AWS using natural language processing and public data sets.