Digital Media Lab

Project status
Funded by
Project type
TrustMLRegulation – Managing Trust and Distrust in Machine Learning with Meaningful Regulation Regulation and governance is crucial for managing trust and distrust in Machine Learning. Yet, how to implement governance for machine learning still is unclear. The project investigates what “meaningful regulation” means on a technical, social and political level by mapping current regulatory models and test selected approaches in an experimental setup. The results of the project will not only be disseminated scientifically, but also used for public engagement workshops and policy recommendations.
Project leader(s)
Prof. Dr.-Ing. Klaus Diepold, PD Dr. Jan-Hendrik Passoth
Period
15.10.19-31.10.20
past
Funding institution
TUM IEAI
TUM IEAI tum-ieai
Project type
-third-party-funded-project
Themes
AI, Regulation, Software Engineering, Sociology, STS
Human centric innovative approach and training for the management of human Resources through the Integration of the Next Generation of AI technologies (HIRING) The project aims to prepare the current and next generation of human resources manager to the integration of artificial intelligence tools in their position. It's objectives are: training the HR managers and students to the digital transformation to come in their work environment, valuing fair and responsible soft skills for implementing AI technologies at the work place and promoting a more open-minded HR generation opened to atypical career pathways.
Project leader(s)
PD Dr. Jan-Hendrik Passoth
Period
09.2019-08.2022
future
Funding institution
EU ERASMUS+
EU ERASMUS+ eu-erasmus
Project type
third-party-funded-project
Themes
AI, HR, innovation, responsibility, education, regulation
Coding Public Value: Public Service Media and Software for the Common Good The project Coding Public Value focuses on the development and evaluation of methods for responsible software engineering for the common good and corresponding institutional, political and organizational frameworks for public-service media platforms. How can legal, political and user-oriented requirements of public media be translated into requirements, methods and quality assessment practices for the engineering of software and which institutional, political, and organizational requirements have to be implemented in order to operate public service media platforms on the foundation of such public service-oriented software engineering? The project combines Science & Technology Studies, Media and Communication Research, Legal Studies, and empirical Software Engineering in an interdisciplinary collaboration.
Project leader(s)
PD Dr. Jan-Hendrik Passoth, Assoc. Prof. Dr. Daniel Mendez, Prof. Dr. Hans-Bernd Brosius, Prof. Dr. Wolfgang Schulz
Period
01.01.2020 - 31.03.2023
future
Funding institution
bidt
bidt bidt
Project type
third-party-funded-project
Themes
Public Service Media, Software Engineering, Platforms, Infrastructures
Public Service Media, Platforms and Digital Infrastructures The project focusses on the role of public service media in the context of digital platforms. How do public value oriented alternatives to streaming services, content networks, editorial and algorithmic content curation or recommender systems look like? How can they be technically, politically and legally designed?
Project leader(s)
PD Dr. Jan-Hendrik Passoth
Period
past
Funding institution
Bavarian Public Broadcast
Bavarian Public Broadcast bavarian-public-broadcast
Project type
drittmittelprojekt-third-party-funded-project
Secure Agile Software Development. Practices, Processes, Artefacts The project empirically investigates practices and processes of agile software engineering in small, medium-sized and large teams. It specifically looks at opportunities and limits of the integration of formal and standardizes IT security requirements and develops recommendations and artefacts for the organization and governance of agile software engineering projects.
Project leader(s)
PD Daniel Méndez, PD Dr. Jan-Hendrik Passoth, Dr. Kristian Beckers (Siemens)
Period
Since August 2018
past
Funding institution
Siemens AG
Siemens AG siemens-ag
Project type
drittmittelprojekt-third-party-funded-project
Themes
Agile Methods, Software Development, Security
Institutional Reflexivity in Sociotechnical Networks (DFG) SFB 768, Subproject A11
Project leader(s)
PD Dr. Jan-Hendrik Passoth, Prof. Dr. Sabine Maasen, Tobias Drewlani, Johan Buchholz, Dr. Uli Meyer
Period
past
Funding institution
DFG
DFG dfg
Project type
drittmittelprojekt-third-party-funded-project
Taking Tacit Knowledge into Account by Using Problem Cases as Guidelines in HMI Development IMPROVE is aiming for developing a more efficient way of providing plant field maintenance in highly complex industrial facilities. Therefore, knowledge based models and devices for data mining and processing are to be created in order to support the facility’s maintenance operators who keep the system running in a good condition.
Project leader(s)
TUM Maschinenwesen, PD Dr. Jan-Hendrik Passoth, Prof. Dr. Sabine Maasen
Period
01.10.2016 – 31.08.2019
past
Funding institution
H2020
H2020 h2020
Project type
drittmittelprojekt-third-party-funded-project
Developing a Digital Toolkit to Enhance the Communication of Scientific Health Claims The project develops a digital toolkit (Web App/App) for communicating health claims in cooperation with colleagues from linguistics and and public health organizations. We follow the development ethnographically and develop formats and practices of responsible software design and the participation stakeholders and concerned publics.
Project leader(s)
Prof. Dr. Rodney Jones (University of Reading), Jaed Kahn (FoodMaestro), Bridget Benelam (British Nutrition Foundation), PD Dr. Jan-Hendrik Passoth
Period
01.2019 - 12.2020
past
Funding institution
EU EIT Food
EU EIT Food eu-eit-food
Project type
drittmittelprojekt-third-party-funded-project
Themes
Nutrition, Recommender, Data, Food
Mediacenters of the Future In the age of digital media available on the internet users have access to abundant content and need to deal with a vast amount of information. Broadcasters and other media companies are searching for solutions to provide users with relevant content.
Project leader(s)
Prof. Dr. Sabine Maasen, PD Dr. Jan-Hendrik Passoth, Prof. Dr. Dr. Birgit Spanner-Ulmer (BR), Mustafa Isik (BR), Prof. Dr. Hans-Bernd Brosius (LMU)
Period
2015 - 2017
past
Funding institution
Bavarian Academy of Sciences and Humanities
Bavarian Academy of Sciences and Humanities bavarian-academy-of-sciences-and-humanities
Project type
third-party-funded-project
Themes
interdisciplinary, data society, media, sociology of algorithms
Modes of Modelling and Simulation in Artificial Intelligence The aim of this research project is to provide a systematic and critical reconstruction of the various modes of modelling and simulation in Artificial Intelligence (AI). This reconstruction operates on a conceptual level as well as through empirical investigations into AI research practice. It will thereby help to explain both the heterogeneity and the success of AI.
Project leader(s)
Hajo Greif
Period
past
Funding institution
DFG
DFG dfg
Project type
Postdoc-Projekt / Post Doc Project
Postdoc-Projekt / Post Doc Project
Themes
Models, Simulations, Artificial Intelligence, Pragmatism, Science-in-Practice
Translating Virtual Reality into an Artistic Medium Recently, more and more artists have begun experimenting with the medium of Virtual Reality (VR) and producing immersive, computer generated worlds. Further, both known and not as well-known museums, festivals and galleries around the world have started exhibiting VR artwork.
Project leader(s)
Mariya Dzhimova
Period
01.2017 – 01.2020
past
Project type
promotionsprojekt-phd-project
Themes
Virtual-Reality, art, aesthetic, field work, STS on art, Virtual-reality-art, artistic medium, artistic practices
Engineering Problems: On Creating and Transforming Problems for ‘Optimizing’ Solutions in Software Culture While it seems quite easy to find it plausible that people come up with clever ideas and solutions for certain problems, given that those problems are actually there, in front of the person who is dealing with the problem, it is quite hard to imagine the process of coming up with, finding, creating a new idea seemingly out of nothing.
Project leader(s)
Peter Müller
Period
past
Project type
promotionsprojekt-phd-project
Themes
Creativity, Hackathon, Software Culture, Invention, Tech Development
Infrastructuring European Migration and Border Control. The Logistics of Moria Hotspot, Frontex Joint Operation Reporting Application and Frontex Risk Analysis Unit The PhD-project examines European migration and border control in Greece in terms of infrastructures and logistics. Drawing on STS and infrastructures studies it understands infrastructures as material set-ups, which interconnect different places with local practices and personnel via standards, technologies and devices in order to organize trans-local flows of entities.
Project leader(s)
Silvan Pollozek
Period
2016-2020
past
Project type
Promotionsprojekt / PhD Project
Promotionsprojekt / PhD Project
Themes
Infrastructures, logistics, Europe, migration and border control
Rule(s) of Prediction Contemporary societies increasingly rely on predictions based on machine learning in manifold settings, including media distribution, policing, economy, etc. Many scholars are invested in researching the consequences of these transformations.
Project leader(s)
Nikolaus Pöchhacker
Period
2016
past
Project type
Promotionsprojekt / PhD Project
Promotionsprojekt / PhD Project
Themes
Predictive Analytics, Algorithms, Machine Learning, Epistemology, social order, Institutions
Ubiquitous datafication. Regimes of data processing and the struggle for critics Using digital information to organize (social) life seems to be the preferred modus operandi of contemporary societies.
Project leader(s)
Phillip Arms
Period
2016 - 2019
past
Project type
Promotionsprojekt / PhD Project
Promotionsprojekt / PhD Project