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SS 2019 - WiSe 2021/22

English

Digital Democracy

3

Brill, Markus

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Softwaretechnik und Theoretische Informatik

34352500 FG Effiziente Algorithmen

No information

Kontakt


TEL 5-1

Brill, Markus

brill@tu-berlin.de

Learning Outcomes

On successful completion, students will be able to: - discuss the potential impact of digitalization on democratic processes, - model democratic instruments as preference aggregation methods, - analyze digital democracy tools from a social choice perspective, - develop preference aggregation methods for digital democracy applications.

Content

Digital Democracy (a.k.a. interactive democracy or e-democracy) is an umbrella term that encompasses a variety of approaches to make democratic processes more engaging and responsive. A common goal of these approaches is to utilize modern information technology -- in particular, the Internet -- in order to enable more interactive decision making processes. For example, many digital democracy proposals involve online platforms that provide much more flexibility and interaction possibilities than traditional democratic systems. Examples include LiquidFeedback [https://liquidfeedback.org], Democracy.Earth [https://www.democracy.earth], and All Our Ideas [http://www.allourideas.org]. In this seminar, we discuss principles behind digital democracy tools (such as the delegated voting paradigm underlying liquid democracy applications), as well as a variety of example applications of digital democracy tools. Moreover, we explore how the theory of preference aggregation (a.k.a. social choice theory) can be employed to aid the design of digital democracy tools.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Digital DemocracySEMSoSeEnglish2

Workload and Credit Points

Digital Democracy (SEM):

Workload descriptionMultiplierHoursTotal
Attendance15.02.0h30.0h
Pre/post processing15.04.0h60.0h
90.0h(~3 LP)
The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Seminar with talks by the participants and group discussions. Participation is highly recommended.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Basic knowledge of discrete mathematics.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
(Deliverable assessment) handout20written2-4 pages
(Deliverable assessment) presentation50oral45 min
(Learning process review) oral consultation30oral19 min

Grading scale

Notenschlüssel »Notenschlüssel 3: Fak IV (3)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt45.0pt40.0pt

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 12.

Registration Procedures

See website (http://www.algo.tu-berlin.de/teaching/).

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.
Computer Engineering (MSc) Computer Science (Informatik) (MSc) Wirtschaftsinformatik/ Information Systems Management (MSc)

Miscellaneous

No information