Participants will learn to program in R to run statistical tests and write functions to express statistical ideas in a guided, scaffolded, and structured way. Prior to the workshop, participants […]
Computational Methods for Restorative Data Justice Introduction While “data” is often understood today in computational terms, as information coded and organized for interpretation with digital tools and algorithms, the term […]
Participants will learn to construct and analyze graphs and networks using real-world examples related to humanistic questions and research agendas. Throughout the workshop, participants will become familiar with the mathematical […]
Strategic planning consultation to define the nature and structure of the library’s DH/DS Initiative and its integration into the larger campus environment.
This talk explores how descriptive statistics and hypothesis testing open new windows into Ottoman governors' experiences in early modern Algeria.
Invited talk at the UK Institute of Historical Research - Digital History Seminar. Bias detection remains an area of interest for digital humanists, computational linguists, and information studies scholars, who […]
Sanders will show how this concept of restorative data justice may serve as a bridge between academic studies and work in current data cultures.
Through close reading, structured notes, and developing a custom, context-specific classification schema, Dr. Ashley Sanders has reconstructed data sets on the governors of Ottoman Algeria (1518-1837) for prosopographical study. This reconstruction aims to avoid recreating imperial ontologies and instead aims to describe these men and women with categories that they themselves would have likely employed.
