Research Initiatives

• Under the title"decisions.energy ", a group of scientists from almost all institutes of the KIT Faculty of Economic Sciences has joined forces. The aim is to better understand the economic challenges posed by the energy transition.

• The DFG-funded Research Training Group"Energy State Data". It deals in an interdisciplinary way with challenges that arise in dealing with data from the rapidly changing energy system.

Mobility

In the profile region Mobility Systems Karlsruheexisting research and development competencies in the field of mobility systems are bundled in Karlsruhe and linked with industry. The project is funded by the state of Baden-Württemberg. Several institutes of KIT (including ECON, IIP, KSRI), the Fraunhofer-Gesellschaft, Karlsruhe University of Applied Sciences, and the Research Center for Information Technology are involved in the project and bundle interdisciplinary research competences. The project will exploit synergies with local partners to ensure cross-organizational knowledge exchange. Among other things, the project will develop a holistic urban mobility vision 2030, in which, for example, innovative micro-mobility concepts, electrified cab fleets and multimodal transport concepts for employers will be analyzed under socio-techno-economic aspects.

The project"SuMo-Rhine - Promoting Sustainable Mobility in the Upper Rhine Region", which is funded for three years, is coordinated by the German-French Institute for Environmental Research (DFIU) of the Karlsruhe Institute of Technology (KIT) and the project's consortium includes ten other funded partners from Germany (including KIT-ECON) and France. The European Union is supporting the project from the European Regional Development Fund (Interreg). The aim of the project is to comprehensively analyze and evaluate the existing cross-border transport systems in the Upper Rhine region, taking the Strasbourg and Lörrach conurbations as examples. In the course of this, the project partners want to build a novel "decision support system". Via a web application, the system makes measurable indicators for sustainable mobility accessible. In this way, cities, municipalities, mobility offices and mobility service providers will be able to identify potential for improving transport services with low environmental impact and increasing the market share of alternative modes of transport far more precisely than before.

Information

• The ForDigital research alliance ("Digitization: Transformation of Socio-Economic Processes") is an initiative funded by the Ministry of Science and Culture (MKW) of the state of Baden-Württemberg to network scientists at the Karlsruhe and Mannheim sites. ForDigital aims to better understand the mechanisms and impact of the rapid development of information and communication technologies (ICT) on the economy, society and individuals, and to design innovative ICT solutions for them on this basis.

• The DFG-funded"Karlsruhe Decision & Design Lab " is one of the world's largest computer-based experimental laboratories. It offers researchers an excellent infrastructure for economic, neuro- and psycho-physiological experiments.
• The topic "Digital Citizen Science" is the focus of the newly established research initiative"KD²Ex - Karlsruhe Decision and Design Experimentation Ecosystem". The goal is to establish a trustworthy ecosystem for empirical experimental research in the lab and in the field where citizens are invited to actively participate in research.

• The Competence Center for Applied Security Technology (KASTEL) is one of three competence centers for cyber security throughout Germany that were initiated by the German Federal Ministry of Education and Research (BMBF) in March 2011 and will continue to receive funding until at least 2020. Under the motto "Comprehensible Security in the Networked World", KASTEL addresses the challenges posed by progressive networking. On the one hand, our faculty deals with 'Human Factors in Security & Privacy' (research group SECUSO@AIFB) and on the other hand with 'holistic risk management' as well as scalable IT security against intentional and unintentional threats derived from it.

• In all areas of science and society, big, complex, and high-dimensional data is ubiquitous today. Machine learning and AI methods are already very effective at using such data for prediction. The SIMCARD project (Scalable and Interpretable Models for Complex And stRuctured Data) will develop novel machine learning methods that are robust and reliable and go beyond simple predictions. The focus is on new statistical methods for modeling very large networks and predictive reliability. The goal is to provide answers to pressing problems in diverse application domains with precisely fitting scalable, sound, and interpretable data science techniques. The project addresses in particular the fields of data-intensive biomedicine and weather forecasting.