This site contains a list with all the published webinar recordings which were created within the FAIRWork project.
Webinar #2: Developing Digital Process Landscapes - The FLEX and CRF Scenarios
In this webinar the partners of the FAIRWork project will provide an overview on the requirements and scenarios that were identified for the further progress of the project. Therefore, they will provide a short introduction to the project as a whole and how the requirements were identified. Afterwards the defined scenarios, which will be used as guidelines for the rest of the project, will be introduced. Last but not least, the next steps of the project as a whole will be introduced.
Webinar #3: Specification of Use Case Requirements and Research Approach
In this webinar the partners of the FAIRWork project will provide an overview on the design thinking approach for creating user requirements. Afterwards, we explain the chosen overall methodology of creating complex decision-making. In this part we give an overview on relevant concepts for the research direction and implementation of such complex decision-making by using AI services. Technical concepts for a concrete implementation such as digital knowledge base, digital twin, and digital shadow will be discussed as well. Finally, an explanation of the orchestration of decision-making processes by using micro-services will be presented.
Webinar #4: Introduction to the High-Level Architecture for FAIRWork
The FAIRWork project partners will provide an overview of the proposed high-level architecture in this webinar. In addition, a mapping of the Democratized AI Decision Support System (DAI-DSS) to project's use cases will be presented, along with potential AI services. An overview of the proposed architectural components will be provided. Finally, the project's next stages will be discussed.
AI poses ethical challenges. More than that, these ethical challenges are often not easily identifiable. The consortium of FAIRwork researches and works in borderline areas of technical development and collective lifeworlds. The webinar aims to take up the specifics of this socio-technical situation and to develop appropriate strategies for increasing ethical reflection capacity for the FAIRWork project. For this purpose, the so-called STIR method will be presented, which offers options to reflect the development of new ideas. We will bring it together with the core ideas of the Ethical Guidelines in the FAIRWork project.
Webinar #6: Towards DAI-DSS: Technical Enriched Status Report on the FAIRWork project
In this webinar, the consortium of the FAIRWork project will provide a status update on the latest project achievements. An overview focusing on the research methods and tools to enable an integrative “democratic” hybrid decision-making and proceedings in the development of the knowledge base is given. Therefore, an introduction to the research factors, then a short recap of the use case scenarios, and finally, a presentation of the knowledge base will be provided. To conclude the status report, the next steps of the project as a whole will be outlined.
Webinar #7: Model-based Experiments in FAIRWork utilizing OMiLAB's Digital Innovation Environment (DIEn)
The OMiLAB Digital Innovation Environment provides capabilities to develop, evaluate and sustain novel ideas in an experimental laboratory setting. Within FAIRWork, the generic structure of DIEn is established as an environment to demonstrate and communicate early ideas with a low TRL as input for refinement and integration into solutions established in the context of the project. Fast prototyping and feasibility assessment is enabled through a common structure of experiments, building on models as an invariant and its model value as processing mechanisms and algorithms on various abstraction levels. Digital twinning is provided on design and physical level, whereas smart models act as mediators between these layers. In this webinar, we will introduce an experiment showcase in the context of the FAIRWork.
Webinar #8: Initial prototype of the Democratized AI Decision Support System (DAI-DSS): Microservice Framework OLIVE
BOC will provide an overview of the current status of the initial prototype of the Democratized AI Decision Support System (DAI-DSS). Following a brief introduction to the system's architecture and the use case on which the demonstration is based, three building blocks are explained in further depth and shown in form of short live demos. The user interfaces, the configurator, and the orchestrator are the components that will be emphasized in this webinar. The use of the Microservice Framework OLIVE inside these components is highlighted in particular.
MORE will provide an overview of the Multi-Agent Systems (MAS) in the FAIRWork project. Initially, we'll delve into the MAS definition and its characteristics. Following, we'll highlight how agent interaction is important for leveraging human participation in decision-making processes, and machine representation in scalable and complex environments. At the end, we'll show an example of a MAS application in a use case and an experiment with a robot arm. In this webinar, you'll get to know what agents are, what role they play in supporting decision-making, and how Multi-Agent Systems can be applied in industry case scenarios.
Webinar #10: AI Enrichment Services: Applying AI in FAIRWork Use-Cases
Join us for a webinar that delves into AI Enrichment Services in the FAIRwork project. Learn how AI algorithms, including Neural Networks, Genetic Algorithms, Fuzzy Logic, Reinforcement Learning and Neural-guided Monte Carlo Tree Search are applied in the FAIRWork Use-Cases.
Webinar #11: Digital twin context in FAIRWork use cases
This presentation by Jotne, delves into the Digital Twin’s implementation within the context of FAIRWork use case scenario CRF workload balance. We will start by introducing the concept of Digital Twin Systems and its components. The presentation progresses to illustrate practical steps on creating standards based digital representations using the DAI-DSS Knowledge Base (EDMtruePLM). Furthermore, in this webinar we’ll show how relevant data is collected and stored in Knowledge Base through the created digital representations. In the end the webinar provides insights into leveraging AI services for decision support powered by the data for optimal worker allocations.