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Lecture Series "Digital Future" 2020/2021

Lecture Series "Digital Future" 2020/2021
Lupe

The lecture series "Digital Future" covers different aspects of the digital transformation and aims at conveying a basic understanding of the topic. On a weekly basis, select speakers will present subjects from their research area, covering different facets of digitalization as well as different scientific disciplines. As such, the lecture series underlines the far-reaching significance of the digital transformation.

As in previous years, the lecture series puts an emphasis on a data-driven digital transformation. This year, professors from the Einstein Center Digital Future (ECDF) will staff the program and offer a sneak peek of their research.

The lecture series explicitly addresses all students. It thus contributes to an interdisciplinary education at TU Berlin and beyond. Students will acquire an overview of methods and applications in the area of data-driven digital transformation. This is the first step to become "data literate."

General Information

As a lecture series, this module is organized as a sequence of weekly lectures by various lecturers from the ECDF, working for both, TU Berlin and other institutions.

The lecture series takes place on Wednesday, at 4-6 pm. Due to the Corona pandemic, it will be held as an online course, using TU Berlin's Zoom instance. The first meeting is scheduled for 4 November 2020.

The lecture series has a strong interdisciplinary focus and is thus open to all students. It may be especially beneficial to Bachelor students. Note that, while no formal background knowledge is required for participation, technological advances in the digital world constitute the core theme of the lecture series.

You can earn credit points for your studies since this module can be included into your studies of free choice ("freier Wahlbereich"). The course is worth 3 LP. There will be an online assessment ("ePrüfung") at the end of the semester.

Participation

In order to join the lecture series, you will need to enroll to the respective ISIS course. If you are unable to join the ISIS course (e.g. guests who don't have an account at TU Berlin), please use this form to request a guest enrolment key.

Program

Schedule
Date
Topic
Speaker
Affiliation
04.11.20
How to become a Data Scientist (in 3 steps)
Timm Teubner
ECDF/TU
11.11.20
Make the Magic Box Transparent: Bias and Transparency in Machine Learning
Helena Mihaljević
ECDF/HTW
18.11.20
The Social Construction of Risk in Digital Preservation: A Qualitative Study of Trustworthy Digital Repository Audit Processes
Rebecca Frank
ECDF/HU
25.11.20
Anonymous Data Revealed
Florian Tschorsch
ECDF/TU
02.12.20
Counter-Data as Counter-Culture
Michelle Christensen/​Florian Conradi
ECDF/TU/UdK
09.12.20
Future of Work
Anastasia Danilov
ECDF/HU
16.12.20
Computer Supported Cooperative Work and Social Computing
Christian Meske
ECDF/FU
– lecture-free period –
06.01.21
Urban Energy Model based on CityGML
Rita Streblow
ECDF/TU/RWTH
13.01.21
Digitalization of Urban Water Systems
Andrea Cominola
ECDF/TU
20.01.21
SimRa
David Bermbach
ECDF/TU
27.01.21
Medical Data Science
Felix Balzer
ECDF/Charité
03.02.21
Digital Imaging for Virtual Treatment Planning
Tabea Flügge
ECDF/Charité
10.02.21
Digital Health
Tobias Schaeffter
ECDF/TU/PTB
17.02.21
Synthetic Data for Cardiovascular Research
Leonid Goubergrits
ECDF/Charité

Charité: Charité Universitätsmedizin Berlin, ECDF: Einstein-Center Digital Future, FU: Freie Universität Berlin, HTW: Hochschule für Technik und Wirtschaft Berlin, HU: Humboldt-Universität zu Berlin, PTB: Physikalisch-Technische Bundesanstalt, RWTH: Rheinisch-Westfälische Technische Hochschule Aachen, TU: Technische Universität Berlin, UdK: Universität der Künste Berlin

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Prof. Dr. Florian Tschorsch