A virtual “Werkstatt” for digitization in the sciences
Data is central in almost all scientific disciplines nowadays. Furthermore, intelligent systems have developed rapidly in recent years, so that in many disciplines the expectation is emerging that with the help of intelligent systems, significant challenges can be overcome and science can be done in...
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pensoft Publishers
2020-05-01
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| Series: | Research Ideas and Outcomes |
| Subjects: | |
| Online Access: | https://riojournal.com/article/54106/download/pdf/ |
| _version_ | 1819066097775673344 |
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| author | Sheeba Samuel Maha Shadaydeh Sebastian Böcker Bernd Brügmann Solveig Franziska Bucher Volker Deckert Joachim Denzler Peter Dittrich Ferdinand von Eggeling Daniel Güllmar Orlando Guntinas-Lichius Birgitta König-Ries Frank Löffler Lutz Maicher Manja Marz Mirco Migliavacca Jürgen R. Reichenbach Markus Reichstein Christine Römermann Andrea Wittig |
| author_facet | Sheeba Samuel Maha Shadaydeh Sebastian Böcker Bernd Brügmann Solveig Franziska Bucher Volker Deckert Joachim Denzler Peter Dittrich Ferdinand von Eggeling Daniel Güllmar Orlando Guntinas-Lichius Birgitta König-Ries Frank Löffler Lutz Maicher Manja Marz Mirco Migliavacca Jürgen R. Reichenbach Markus Reichstein Christine Römermann Andrea Wittig |
| author_sort | Sheeba Samuel |
| collection | DOAJ |
| description | Data is central in almost all scientific disciplines nowadays. Furthermore, intelligent systems have developed rapidly in recent years, so that in many disciplines the expectation is emerging that with the help of intelligent systems, significant challenges can be overcome and science can be done in completely new ways. In order for this to succeed, however, first, fundamental research in computer science is still required, and, second, generic tools must be developed on which specialized solutions can be built. In this paper, we introduce a recently started collaborative project funded by the Carl Zeiss Foundation, a virtual manufactory for digitization in the sciences, the “Werkstatt”, which is being established at the Michael Stifel Center Jena (MSCJ) for data-driven and simulation science to address fundamental questions in computer science and applications. The Werkstatt focuses on three key areas, which include generic tools for machine learning, knowledge generation using machine learning processes, and semantic methods for the data life cycle, as well as the application of these topics in different disciplines. Core and pilot projects address the key aspects of the topics and form the basis for sustainable work in the Werkstatt. |
| first_indexed | 2024-12-21T15:56:57Z |
| format | Article |
| id | doaj.art-517a1022ddf041268192462826b2fb7d |
| institution | Directory Open Access Journal |
| issn | 2367-7163 |
| language | English |
| last_indexed | 2024-12-21T15:56:57Z |
| publishDate | 2020-05-01 |
| publisher | Pensoft Publishers |
| record_format | Article |
| series | Research Ideas and Outcomes |
| spelling | doaj.art-517a1022ddf041268192462826b2fb7d2022-12-21T18:58:04ZengPensoft PublishersResearch Ideas and Outcomes2367-71632020-05-01611510.3897/rio.6.e5410654106A virtual “Werkstatt” for digitization in the sciencesSheeba Samuel0Maha Shadaydeh1Sebastian Böcker2Bernd Brügmann3Solveig Franziska Bucher4Volker Deckert5Joachim Denzler6Peter Dittrich7Ferdinand von Eggeling8Daniel Güllmar9Orlando Guntinas-Lichius10Birgitta König-Ries11Frank Löffler12Lutz Maicher13Manja Marz14Mirco Migliavacca15Jürgen R. Reichenbach16Markus Reichstein17Christine Römermann18Andrea Wittig19Heinz-Nixdorf Chair for Distributed Information Systems, Friedrich Schiller University JenaDepartment of Mathematics and Computer Science, Friedrich Schiller University JenaChair of Bioinformatics, Institute of Computer Science, Friedrich Schiller University JenaInstitute for Theoretical Physics, Friedrich Schiller University JenaPlant Biodiversity, Institute of Ecology and Evolution with Botanical Garden and Herbarium Haussknecht, Friedrich Schiller University JenaInstitute of Physical Chemistry, Friedrich Schiller University JenaDepartment of Mathematics and Computer Science, Friedrich Schiller University JenaBio System Analysis Group, Institute of Computer Science, Friedrich Schiller University JenaCore Unit Proteome AnalysisMedical Physics Group, Department of Diagnostic and Interventional Radiology, University Hospital JenaDepartment of Otorhinolaryngology, Jena University HospitalHeinz-Nixdorf Chair for Distributed Information Systems, Friedrich Schiller University JenaMichael Stifel Center Jena for Data-driven and Simulation ScienceTechnology Transfer Research Group, Friedrich Schiller University JenaFLI Leibniz Institute for Age ResearchBiosphere-Atmosphere Interactions and Experimentation Group, Department Biogeochemical Integration, Max Planck Institute for BiogeochemistryMedical Physics Group, Department of Diagnostic and Interventional Radiology, University Hospital JenaMax Planck Institute for BiogeochemistryPlant Biodiversity, Institute of Ecology and Evolution with Botanical Garden and Herbarium Haussknecht, Friedrich Schiller University JenaDepartment of Radiotherapy and Radiation Oncology , University Hospital Jena, Friedrich Schiller University JenaData is central in almost all scientific disciplines nowadays. Furthermore, intelligent systems have developed rapidly in recent years, so that in many disciplines the expectation is emerging that with the help of intelligent systems, significant challenges can be overcome and science can be done in completely new ways. In order for this to succeed, however, first, fundamental research in computer science is still required, and, second, generic tools must be developed on which specialized solutions can be built. In this paper, we introduce a recently started collaborative project funded by the Carl Zeiss Foundation, a virtual manufactory for digitization in the sciences, the “Werkstatt”, which is being established at the Michael Stifel Center Jena (MSCJ) for data-driven and simulation science to address fundamental questions in computer science and applications. The Werkstatt focuses on three key areas, which include generic tools for machine learning, knowledge generation using machine learning processes, and semantic methods for the data life cycle, as well as the application of these topics in different disciplines. Core and pilot projects address the key aspects of the topics and form the basis for sustainable work in the Werkstatt.https://riojournal.com/article/54106/download/pdf/Machine learningsemantic methodsdata managemen |
| spellingShingle | Sheeba Samuel Maha Shadaydeh Sebastian Böcker Bernd Brügmann Solveig Franziska Bucher Volker Deckert Joachim Denzler Peter Dittrich Ferdinand von Eggeling Daniel Güllmar Orlando Guntinas-Lichius Birgitta König-Ries Frank Löffler Lutz Maicher Manja Marz Mirco Migliavacca Jürgen R. Reichenbach Markus Reichstein Christine Römermann Andrea Wittig A virtual “Werkstatt” for digitization in the sciences Research Ideas and Outcomes Machine learning semantic methods data managemen |
| title | A virtual “Werkstatt” for digitization in the sciences |
| title_full | A virtual “Werkstatt” for digitization in the sciences |
| title_fullStr | A virtual “Werkstatt” for digitization in the sciences |
| title_full_unstemmed | A virtual “Werkstatt” for digitization in the sciences |
| title_short | A virtual “Werkstatt” for digitization in the sciences |
| title_sort | virtual werkstatt for digitization in the sciences |
| topic | Machine learning semantic methods data managemen |
| url | https://riojournal.com/article/54106/download/pdf/ |
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