“Research collaborations for rapid AI innovation in practice”
The Smart Data Innovation Challenges (SDI-C) concept adds an important component to the Smart Data Innovation Lab (SDIL). Required faster, innovative research can thus be achieved at a low threshold. On the basis of urgent prototypical questions from the industry, the best data-driven AI approaches should prove themselves. Conversely, researchers should be motivated to apply their approaches to machine learning and big data analytics to real data sets.
The project, funded by the Federal Ministry of Research for three years, aims in particular to promote innovative microprojects. KI projects are to be borne equally by industry and research, whereby the research partners are 100% funded for the research and application of new algorithms and thus also contribute to the state of research.
The application partners that contribute data and / or systems benefit directly from the prototypical implementation and the external impact promoted by the project. As in the current phase, the industry’s contribution is the provision of data and human resources needed for joint projects. In addition, both sides benefit from the infrastructure.
The basis for this are the cooperation schemes, including the model contracts that have already been tested in the SDIL, as well as the infrastructure that will be further developed to fit the new format within this project. Projects such as the Smart Data Solution Center (SDSC) funded in Baden-Württemberg, impressively demonstrate the attractiveness of such a conveyance architecture for all those involved.
1st Call for proposals for AI microprojects in the BMBF-funded research project SDI-C
Starting in October 2019, 6 AI microprojects will be funded with a maximum of 6 person-months each, which will be selected competitively within all research institutes of the KIT, Fraunhofer Gesellschaft, DFKI and Forschungszentrum Jülich participating in the SDI-C. The goal is to achieve a short time between idea and implementation in cooperation with the Smart Data Innovation Lab (more information about the project at: More about SDI-C.
Funded will be the personnel costs of the applicant for the handling of machine learning and artificial intelligence issues. It is desired that companies be involved as associated partners and data providers and benefit from the results. The subsidized microprojects will be provided with the resources of the Smart Data Innovation Lab for the duration of the project (SDIL Platform). Funding is provided in each case with a clear reference to industrial data and questions:
4 AI microprojects on high-frequency data streams and time series
Streaming analytics is an important area of AI, when decisions need to be made quickly or data needs to be continuously evaluated. We are looking for innovative research projects based on industrially relevant data, which prototypically demonstrate the efficient use of AI algorithms and architectures on such transient data.
2 open topic AI microprojects with pilot character
In addition, new research impulses with high application potential are to be promoted. Here in particular, projects are also prioritized that open up data that is available for the following tender rounds (in each case within individually to be negotiated conditions of use without restrictions on secrecy).
In addition to the potential for innovation, important selection criteria are, in particular, the use of new industrial data sources. Ideally, data providers should be involved as associated partners in the project. The SDIL provides a legally and technically secure framework for processing the data within the requested microproject. In particular, the integration of data and issues from small and medium-sized companies is desired, which as unsubsidised partners should benefit from the analysis of their data. (Interested companies are welcome to contact firstname.lastname@example.org melden.)
The filled out two-page application must be sent to the office of the consortium leader (email@example.com) until 21.09.2019 at latest. For technical and organizational questions, KIT is pleased to be the operator of the platform (firstname.lastname@example.org or email@example.com).
The application for downloading and filling: SDI-C Call and Application Form
You will receive feedback on the success of the assessment 2 weeks after the submission deadline. The final decommitment is requested by the coordinator and centrally by the sponsored institute and then takes place after a formal examination by the grantor, so that the grants should be available within a few weeks!