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 […]
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.
