300195 Algorithmic prediction and the future of policing (S) (WiSe 2020/2021)
Contents, comment
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Course contents:
The algorithmic turn of prediction, connected with big data and machine learning, introduces a radical technical-computational change from probabilistic forms of uncertainty management, whose effects extend throughout society. The course will focus on the social effects of this transition, promising innovative solutions and yet producing disruptive problems. The first part of the course will deal with the general theory of prediction, it social preconditions and its historical development. In the second part of the course we will discuss the consequences of changing forms of prediction in different field of society, and specifically in the field of policing.Learning outcomes:
Against the backdrop of the topic of prediction, course participants will familiarize with the issues of the social consequences of digitization in contemporary society. Within the framework of the general theory of society, they will acquire the skills required to observe and critically comment on the diffusion of technological innovations such as machine learning algorithms and big data. The focus on predictive policing will allow to concretely examine issues such as social and technological bias, pre-emption, relationship between technologies and public policies, impact of digitization on organizations.
Bibliography
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Readings/Bibliography:
A detailed syllabus will be provided at the introductory meeting of the course.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| one-time | Mo | 14-16 | ONLINE | 02.11.2020 | Introduction |
| one-time | Mo | 16-18 | ONLINE | 09.11.2020 | Introduction |
| weekly | Fr | 13-18 | ONLINE | 20.11.2020 | |
| weekly | Fr | 13-18 | ONLINE | 27.11.2020 | |
| weekly | Fr | 13-18 | ONLINE | 11.12.2020 | |
| weekly | Fr | 13-20 | ONLINE | 18.12.2020 |
Subject assignments
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bielefeld Graduate School In History And Sociology / Promotion | Optional Course Programme |
Teaching methods:
Participants are expected to read the materials in advance and actively contribute to the discussion. They must prepare two questions for each meeting, that can be presented and debated during the sessions. After each session, they will deliver a short memo (e.g. several bullet points) summarizing their understanding of the outcome of the meeting in terms of the issues they find most relevant.
Assessment methods:
Studienleistung: Presentations of a length of 20-30 minutes
Prüfungsleistung: At the end of the semester, you will write a Hausarbeit on one of the texts we discussed in class.
- E-Learning Space
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- WS2020_300195@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
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- Last update basic details/teaching staff:
- Wednesday, November 11, 2020
- Last update times:
- Tuesday, November 17, 2020
- Last update rooms:
- Tuesday, November 17, 2020
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Sociology
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