Every year, the Digital Methods Initiative organises an intensive summer course in which students learn and develop internet research techniques for studying societal conditions and cultural change.
During the Digital Methods Initiative (DMI) Summer School, participants actively engage in empirical research projects, employing web-specific software tools, such as scrapers and crawlers. The course concludes with an event at which the research projects are presented.
The 2018 Digital Methods Summer School is devoted to approaches to studying so-called machine bias. Recent debates have focused on how to hold algorithms accountable for discrimination in their outputting of results, such as in the notorious cases of query results for ‘professional hair’ (white women’s hairdo’s) and ‘unprofessional hair’ (black womens’ hair-do’s). This is a variation on classic, and still urgent, search engine critiques (once known as ‘googlearchies’) which questioned the hierarchies built into rankings, asking who is being authorised by the engine to provide the information. That work moves forward at the Summer School, building on examinations of the volatility of engine results.
The Digital Methods Summer School is interested in contributing not only to interpretations of celebrated cases of algorithmic or machine bias, but also providing diagnostic, query-related, research account and corpus-building research practices that seek to address the matter more conceptually.
For more information on the summer course see the website of the Digital Methods Initiative:
|Academic director:||Prof. Richard Rogers|
|Credits:||6 ECTS / Certificate of Completion|
|Tuition fee in 2018:||
|Applicants:||Open to all applicants MA level and up, incl PhD candidates and motivated scholars as well as practitioners.|
|Credits||6 ECTS, 2 weeks|
|Language of instruction||English|