860-0026-00L Data Practices
Semester | Herbstsemester 2022 |
Dozierende | M. Leese |
Periodizität | jährlich wiederkehrende Veranstaltung |
Lehrsprache | Englisch |
Kommentar | Number of participants limited to 20. Priority for Science, Technology, and Policy MSc and PhD students. |
Lehrveranstaltungen
Nummer | Titel | Umfang | Dozierende | ||||
---|---|---|---|---|---|---|---|
860-0026-00 S | Data Practices | 2 Std. |
| M. Leese |
Katalogdaten
Kurzbeschreibung | The aim of this course is to establish an understanding of data as embedded in social contexts. Studying data from a social scientific perspective is necessary to account for these influences and analyze the ways in which data practices shape the ways in which data allow us to see and modify the world. |
Lernziel | At the end of the term ,students will be able to: reflect concepts and theories of data practices and situate them within wider social science contexts identify key actors, sites, and domain contexts of data practices choose appropriate ways and methods to study data practices empirically |
Inhalt | The aim of this course is to establish an understanding of data as embedded in social contexts. Data do not exist independently of the ideas, instruments, contexts and rationales used to generate, process, and analyze them. They are not neutral representations of external realities, but they are imbued with political and economic interests, cultural norms and tacit assumptions. Studying data from a social scientific perspective, it is thus necessary to account for these influences and analyze the ways in which data practices shape the ways in which data allow us to see and modify the world. |
Skript | Course materials are provided on Moodle. |
Voraussetzungen / Besonderes | The quality of your experience in this course depends on your preparation and active participation. Students will be expected to read the required literature, subject it to critical examination, and discuss it in class. You will be required to prepare a short preparation assignment for one or two sessions (depending on the overall number of students enrolled in the course), consisting of the preparation of three discussion questions for the session’s readings. Due to the consecutive building blocks that we address throughout the semester, in the best scenario you should not miss any of the sessions. In case you should be unable to attend the seminar, please inform the course organizer by e-mail in advance (Link). |
Leistungskontrolle
Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) | |
Leistungskontrolle als Semesterkurs | |
ECTS Kreditpunkte | 3 KP |
Prüfende | M. Leese |
Form | benotete Semesterleistung |
Prüfungssprache | Englisch |
Repetition | Repetition ohne erneute Belegung der Lerneinheit möglich. |
Zusatzinformation zum Prüfungsmodus | Grading (1) Active and qualitatively high-level participation in class discussion based on thorough study of the texts; preparation of assignments (20%) (2) Seminar Paper (80%) Seminar Paper Students will be required to hand in a seminar paper that, based on the course contents, engages data practices from an empirical or theoretical perspective. The paper should not exceed 6.000 words (including references) and adhere to academic formatting and citation standards |
Lernmaterialien
Keine öffentlichen Lernmaterialien verfügbar. | |
Es werden nur die öffentlichen Lernmaterialien aufgeführt. |
Gruppen
Keine Informationen zu Gruppen vorhanden. |
Einschränkungen
Plätze | Maximal 20 |
Vorrang | Die Belegung der Lerneinheit ist bis 09.09.2022 nur durch die primäre Zielgruppe möglich |
Primäre Zielgruppe | Science, Technology and Policy MSc (860000) |
Warteliste | Bis 23.09.2022 |
Angeboten in
Studiengang | Bereich | Typ | |
---|---|---|---|
Science, Technology, and Policy Master | Wahlfächer | W |