Digital Shadow

The coming decade of digital brain research – A vision for neuroscience at the intersection of technology and computing

philipp — Tue, 30 Jan 2024 17:59:14 +0000

The coming decade of digital brain research – A vision for neuroscience at the intersection of technology and computing philipp Tue, 01/30/2024 - 18:59

Abstract

In recent years, brain research has indisputably entered a new epoch, driven by substantial
methodological advances and digitally enabled data integration and modelling at multiple scales – from
molecules to the whole brain. Major advances are emerging at the intersection of neuroscience with
technology and computing. This new science of the brain combines high-quality research, data
integration across multiple scales, a new culture of multidisciplinary large-scale collaboration and
translation into applications. As pioneered in Europe’s Human Brain Project (HBP), a systematic
approach will be essential for meeting the coming decade’s pressing medical and technological
challenges. The aims of this paper are to:
• develop a concept for the coming decade of digital brain research,
• discuss this new concept with the research community at large, to identify points of convergence
and common goals,
• provide a scientific framework for the current and future development of EBRAINS, a research
infrastructure resulting from the HBP’s work,
• inform and engage stakeholders, funding organisations and research institutions regarding
future digital brain research,
• identify and address the transformational potential of comprehensive brain models for artificial
intelligence, including machine learning and deep learning,
• outline a collaborative approach that integrates reflection, dialogues and societal engagement
on ethical and societal opportunities and challenges as part of future neuroscience research.
While we do not claim that there is a ‘one-size-fits-all’ approach to addressing these aspects, we are
convinced that discussions around the theme of digital brain research will help drive progress in the
broader field of neuroscience.

Amunts et al. The coming decade of digital brain research – A vision for neuroscience at the intersection of technology and computing, preprint, 10.5281/zenodo.10035197

DOI

https://doi.org/10.5281/zenodo.10035197

Human Digital Shadow: Data-Based Modeling of Users and Usage in the Internet of Production

philipp — Wed, 22 Sep 2021 06:50:43 +0000

Human Digital Shadow: Data-Based Modeling of Users and Usage in the Internet of Production philipp Wed, 09/22/2021 - 08:50

Abstract

Digital Shadows as the aggregation, linkage and abstraction of data relating to physical objects are a central vision for realizing the internet of production. However, the majority of current research focuses on a technocentric view, in which the human actors in production play a minor role. Therefore, the authors present an alternative anthropocentric perspective that highlights the potentials and challenges of extending the concept of Digital Shadows to humans. Following future research methodology, three prospections that illustrate use cases for Human Digital Shadows across organizational and hierarchical levels are developed: human-robot collaboration for manual work, decision support and work organization, as well as human resource management. Potentials and challenges are identified using separate SWOT analyses for the three prospections and common themes are emphasized in a concluding discussion.

Mertens, Alexander, Sebastian Putz, Philipp Brauner, Florian Brillowski, Nadine Buczak, Hannah Dammers, Marc Van Dyck, et al. 2021. “Human Digital Shadow: Data-Based Modeling of Users and Usage in the Internet of Production.” In 2021 14th International Conference on Human System Interaction (HSI), 1–8. IEEE. https://doi.org/10.1109/HSI52170.2021.9538729.

A Research Framework for Human Aspects in the Internet of Production – An Intra-company Perspective

philipp — Thu, 20 Aug 2020 13:19:34 +0000

A Research Framework for Human Aspects in the Internet of Production – An Intra-company Perspective philipp Thu, 08/20/2020 - 15:19

Abstract

Digitalization in the production sector aims at transferring concepts and methods from the Internet of Things (IoT) to the industry and is, as a result, currently reshaping the production area. Besides technological progress, changes in work processes and organization are relevant for a successful implementation of the “Internet of Production” (IoP). Focusing on the labor organization and organizational procedures emphasizes to consider intra-company factors such as (user) acceptance, ethical issues, and ergonomics in the context of IoP approaches. In the scope of this paper, a research approach is presented that considers these aspects from an intra-company perspective by conducting studies on the shop floor, control level and management level of companies in the production area. Focused on four central dimensions—governance, organization, capabilities, and interfaces—this contribution presents a research framework that is focused on a systematic integration and consideration of human aspects in the realization of the IoP.

Brauner, P., Brillowski, F., Dammers, H., Königs, P., Kordtomeikel, F., Petruck, H., Schaar, A.K., Schmitz, S., Steuer-Dankert, L., Mertens, A., Gries, T., Leicht-Scholten, C., Nagel, S., Nitsch, V., Schuh, G., Ziefle, M.: A Research Framework for Human Aspects in the Internet of Production – An Intra-company Perspective. Adv. Intell. Syst. Comput. 1216 AISC, 3–17 (2020).

DOI

https://doi.org/10.1007/978-3-030-51981-0_1

Task-Specific Decision Support Systems in Multi-Level Production Systems based on the digital shadow

philipp — Thu, 20 Aug 2020 09:44:04 +0000

Task-Specific Decision Support Systems in Multi-Level Production Systems based on the digital shadow philipp Thu, 08/20/2020 - 11:44

Abstract

Due to the increasing spread of Information and Communication Technologies (ICT) suitable for shop floors, the production environment can more easily be digitally connected to the various decision making levels of a production system. This connectivity as well as an increasing availability of high- resolution feedback data, can be used for decision support for all levels of the company and supply chain. To enable data driven decision support, different data sources were structured and linked. The data was combined in task-specific digital shadows, selecting clustering and aggregation rules to gain information. Visual interfaces for task-specific decision support systems (DSS) were developed and evaluated positively by domain experts. The complexity of decision making on different levels was successfully reduced as an effect of the processed amounts of data. These interfaces support decision making, but can additionally be improved if DSS are extended with smart agents as proposed in the Internet of Production.

Pause, D., Brauner, P., Faber, M., Fischer, M., Hunnekes, P., Petruck, H., Mertens, A., Nitsch, V., Schuh, G., Stich, V., Ziefle, M.: Task-specific Decision Support Systems in Multi-level Production Systems based on the Digital Shadow. In: IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019. pp. 603–608. IEEE (2019).

DOI

https://doi.org/10.1109/ICPHYS.2019.8780186

User-Centred Design of a Process-Recommender System for Fibre-Reinforced Polymer Production

philipp — Tue, 18 Aug 2020 07:52:20 +0000

User-Centred Design of a Process-Recommender System for Fibre-Reinforced Polymer Production philipp Tue, 08/18/2020 - 09:52

Abstract

Today’sproductionismassivelyinfluencedbyfundamentaldigitalisa- tion. IoP as the industrial realisation of the IoT idea is mainly based on the further processing and analysis of the accruing data volumes, e.g. sensor data, as well as the direct connection of integrated technical and human entities. For the techni- cal implementation, this means that suitable infrastructures and concepts must be created that add value from the generated data. Furthermore, the integration of human operators, from the shop floor to the management level, is a central challenge in the implementation of the IoP vision. Possible integration measures could be so-called recommender systems (RSS), which can offer a human operator data-based decision support in target situations. It is necessary to design and implement RSS according to the human operator’s needs and capabilities to generate a real added value. In this paper, we present a design process for a support system in textile process planning. Corresponding evaluation results are shown and reflected regarding their added value. Results show that the chosen user-centred design approach is suitable for the design of recommender systems for process planning of textile production chains, as it highlights usability conflicts early and helps identify additional feature requests. The expert evaluations run in this study revealed that the designed app concept could contribute to easier and better planning, especially in the area of fibre-reinforced polymer production.

Schemmer, T., Brauner, P., Schaar, A.K., Ziefle, M., Brillowski, F.: User-Centred Design of a Process-Recommender System for Fibre-Reinforced Polymer Production. In: Human Interface and the Management of Information, HCII. pp. 111–127 (2020). https://doi.org/10.1007/978-3-030-50017-7.

DOI

https://doi.org/10.1007/978-3-030-50017-7_8

Digital Shadow

The coming decade of digital brain research – A vision for neuroscience at the intersection of technology and computing

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Human Digital Shadow: Data-Based Modeling of Users and Usage in the Internet of Production

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A Research Framework for Human Aspects in the Internet of Production – An Intra-company Perspective

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Task-Specific Decision Support Systems in Multi-Level Production Systems based on the digital shadow

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User-Centred Design of a Process-Recommender System for Fibre-Reinforced Polymer Production

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