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WiSe 2024/25

Seminar in Social Data Analysis - Einzelansicht

  • Funktionen:
Grunddaten
Veranstaltungsart Seminar SWS
Veranstaltungsnummer Max. Teilnehmer/-innen 6
Semester WiSe 2024/25 Zugeordnetes Modul
Erwartete Teilnehmer/-innen
Rhythmus einmalig
Hyperlink  
Sprache englisch


Zugeordnete Person
Zugeordnete Person Zuständigkeit
Jakesch, Maurice, Prof., Doctor of Philosophy
Zuordnung zu Einrichtungen
Fakultät Medien
Inhalt
Beschreibung

--Note: This seminar corresponds to the theoretical part of the lecture Methods of Social Data Analysis, without the project and practical sessions of the course. It is for students who are already working on an applied project with the lab.

Digital platforms and devices have become part of our daily lives, enabling us to collect data about human behavior on a scale unimaginable before. The analysis of social data offers new approaches to questions about human behavior and promises insights for business and politics. However, social data analysis is fraught with analytical pitfalls. The downside of large, rich datasets is information overload, complicating the search for a viable approach.

Analyzing data collected for different purposes in complex environments also easily leads to false conclusions. This course tries to equip students with basic skills for diving in social data. In a series of lectures, paper discussions, and hands-on project exercises, we will transform, describe, and make inferences about numeric, textual, and relational social data. We will also consider the ethics of social data analysis and its opportunities for social science more generally.

Literatur

Salganik, Matthew J. Bit by bit: Social research in the digital age. Princeton University Press, 2019.

Voraussetzungen

This Seminar is for students who are already working on an project with the Computational Social Science Lab. Admission is on an individual basis.

Leistungsnachweis

indivudual presentations

Zielgruppe


M.Sc. Computer Science for Digital Media,
M.Sc. Human Computer Interaction


Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester WiSe 2024/25 , Aktuelles Semester: WiSe 2024/25

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