Smart City Frankfurt (Oder)
A livable and lovable city: The ENS, in cooperation with the Frankfurter Dienstleistungsholding (FDH) and the city administration, is supporting the city of Frankfurt in the development of a digitalization strategy.
Towards a Smart City – Joint Digitalization Strategy by the European New School of Digital Studies and the City Administration of Frankfurt
The European New School of Digital Studies (ENS) of the European University Viadrina Frankfurt (Oder), in cooperation with the Frankfurter Dienstleistungsholding (FDH) and the city administration, is supporting the city of Frankfurt in the development of a digitalization strategy.
"Together, we will use digital technologies to make Frankfurt (Oder) an even more livable and lovable city," says Prof. Dr. Jürgen Neyer, Director of the European New School of Digital Studies about the Smart City concept. "We want to leverage smart technologies to turn Frankfurt into a dynamic innovation hub in the region.”
"By the end of 2021, we want to have a joint strategy for Frankfurt (Oder) in place, designed to increase the quality of life in our city, through ecologically sustainable as well as socially and economically balanced solutions and technologies,” explains Mayor Claus Junghanns. Citizens should will be given the chance to participate in shaping their city. At the same time, we aim to become more competitive for companies and boost efficiency in our administration."
In the frame of a research seminar at Viadrina, public surveys and interviews with municipal stakeholders and businesses will be conducted in a first step. Moreover, there will be a dialog event with actors from the city, local politics and science. The project receives 40,000 euros of financial support from the Volkswagen Foundation, one of the largest German science funding institutions.
Transparency made useful
Digital data analysis to measure de-europeanization: Situated in the field of post-accession europeanization research, this project discusses how the EU produces domestic change in its member- and accession states.
Transparency Made Useful: Employing Digital Data Analysis to Measure and Prevent de-Europeanization (Luana Martin-Russu)
The project is situated in the field of post-accession Europeanization research that discusses the manner and extent to which the European Union produces domestic change in its member- and accession-states. It starts from the empirical observation that several European member states allow their legislation to slide away from either European or democratic standards after having gained EU membership. It postulates that it depends primarily on lawmakers whether or not a state pursues a European and a democratic agenda. Therefore, it is at the level of legislative decision-making that this project decides to observe when and where there is a decrease in the level of compliance and when and where the rule of law is not de facto realized. It takes up the challenge to develop a longitudinal study across policy fields and over longer periods of time in order to reveal subtle patterns of legislative instability and abusive law-making practices. It starts from the research question: How can de-Europeanization be effectively measured? It sets off to answer this question by employing a new method of analysis based on computer driven data acquisition (Python-based algorithms) and natural language processing (NLP).
ASSISTANT
The EU-funded ASSISTANT project aims to develop breakthrough solutions for the manufacturing industry, combining machine learning, optimization, simulation, and domain models to optimize production systems through AI.
Funding: EU Horizon 2020 (6 Mio. €) // Start Date: 01.11.2020 // Duration: 36 months // Partners: 12
The EU-funded ASSISTANT project aims to develop breakthrough solutions for the manufacturing industry, using artificial intelligence to optimize production systems. One of the keystones of ASSISTANT is the creation of intelligent digital twins. By combining machine learning, optimization, simulation, and domain models, ASSISTANT develops tools and solutions providing all required information to help production managers design production lines, plan production, and improve machine settings for effective and sustainable decisions that guarantee product quality and safety.
With a multidisciplinary consortium combining key skills in AI, manufacturing, edge computing and robotics, ASSISTANT aims to create intelligent digital twins through the joint use of machine learning (ML), optimization, simulation and domain models. The resulting tools permit to design and operate complex collaborative and reconfigurable production systems based on data collected from various sources such as IoT devices. ASSISTANT targets a significant increase in flexibility and reactivity, products/processes quality, and in robustness of manufacturing systems, by integrating human and machine intelligence in a sustainable learning relationship.
The ASSISTANT project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101000165 .
Institut Mines-Telecom // University College Cork // University of Patras // Flanders Make vzw // Biti Innovations AB // SIEMENS AG // INTRASORFT International // ATLAS Copco // SIEMENS Energy // Groupe PSA
HIRING
HIRING aims to prepare the current and next generation of human resources managers for the integration of artificial intelligence tools in their position.
EU Erasmus+ // Start Date: 01.09.2020 // Duration: 36 months // Partners: 6
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.
Institut de Preparation à l’Administration et à la Gestion, IPAC Business School // Seinäjoen koulutuskuntayhtymä, Finland // haikara, France // ZAPIENS TECHNOLOGIES S.L. Spain
DataSkop
The national research project "DataSkop - Was passiert mit meinen Daten?" is developing a data donation platform to enable users to share their personal data to support research and digital education. The project is part of the BMBF's Digital Autonomy Hub.
Funding: BMBF, VDI/VDE (1,8 Mio €) // Start Date: 01.08.2020 // Duration: 36 months // Partners: 5
The BMBF, VDI/VDE funded project "DataSkop - Was passiert mit meinen Daten?" is developing a data donation platform to enable users sharing their personal data to support research and digital education. Our role in that project is to provide protypical use-, i.e. research cases. The common goal of the project, however, is to tackle the opacity of algorithmic decision making systems on big or otherwise pivotal online platforms and services. Using organic, real user data, we are going to map, explore and investigate the different realities that branch out from discriminators implementend in recommenders and the like. The project is part of the BMBF's Digital Autonomy Hub.
Algorithm Watch // Uni Paderborn // FH Potsdam // Mediale Pfade
