Dr. Michael Poznic
- Scientific staff
- Research group “Philosophy of Engineering, Technology Assessment, and Science”
- Room: 202 in Douglasstr. 24
- Phone: +49 721 608-26127
- michael poznic ∂ kit edu
Institut für Technikfolgenabschätzung und Systemanalyse (ITAS)
Postfach 3640
76021 Karlsruhe
Professional background
2009 | M.A. after studies in Philosophy (major) and Sociology and Psychology (minors) at RWTH Aachen University |
2009 - 2012 | RWTH Aachen University, Project House HumTec, Research assistant in the project, Ethics for Energy Technology |
2010 - 2011 | RWTH Aachen University, Institute of Philosophy, Research assistant for the electronic teaching space of the RWTH, L2P |
2013 - 2015 | Delft University of Technology (NL), Faculty of Technology, Policy and Management, PhD researcher |
since 2016 | Member of scientific staff at ITAS |
2017 | PhD thesis on “Models in Science and Engineering: Imagining, Designing and Evaluating Representations” |
Selected publications
Pincock, C.; Poznic, M.
Non-Representational Models and Objectual Understanding
2024. Erkenntnis. doi:10.1007/s10670-024-00853-0
Poznic, M.; Stacey, M.; Hillerbrand, R.; Eckert, C.
Designing as playing games of make-believe, in: Design science, 6(e10), S. 1–27. doi:10.1017/dsj.2020.8, 2020
Poznic, M.
Thin versus thick accounts of scientific representation, in: Synthese, 195(8), S. 3433–3451. doi:10.1007/s11229-017-1374-3, 2018
Poznic, M.
Modeling Organs with Organs on Chips: Scientific Representation and Engineering Design as Modeling Relations, in: Philosophy & technology, 29(4), S. 357–371. doi:10.1007/s13347-016-0225-3, 2016
Poznic, M.
Representation and Similarity: Suárez on Necessary and Sufficient Conditions of Scientific Representation, in: Journal for General Philosophy of Science 47(2), S. 331-347. doi:10.1007/s10838-015-9307-7, 2015
Publications
Analytische Technikphilosophie
2024. Handbuch Technikphilosophie. Hrsg.: M. Gutmann, 111–119, J.B. Metzler. doi:10.1007/978-3-476-05991-8_11
Non-Representational Models and Objectual Understanding
2024. Erkenntnis. doi:10.1007/s10670-024-00853-0
What do algorithms explain? The issue of the goals and capabilities of Explainable Artificial Intelligence (XAI)
2024. Humanities and Social Sciences Communications, 11 (1), Art.-Nr.: 760. doi:10.1057/s41599-024-03277-x
A philosophical perspective on explainability: The interrelation between explanation, knowledge, and understanding
2024, November 29. KIT Graduate School Computational & Data Science : Explainable and Safe AI (2024), Karlsruhe, November 29, 2024
Structuring of Information for Human Machine Interaction: Engineering Understanding, ComplexSociotechnical Systems, and Interface Design
2024, September. Forum on Philosophy, Engineering, and Technology (fPET 2024), Karlsruhe, Germany, September 17–19, 2024
Methods as engineering knowledge
2023. 16th Design Theory Paris Workshop (SIG 2023), Paris, France, January 30–31, 2023
Current Issues in the Emerging Field of Normative Energy Ethics
2023. Helmholtz Energy Conference (2023), Koblenz, Germany, June 12–13, 2023
Epistemic achievements of engineers in relation to sociotechnical systems: From technological knowledge to engineering understanding
2023. Forum on Philosophy, Engineering, and Technology (fPET 2023), Delft, Netherlands, April 19–21, 2023
Knowledge for Practicing Engineers and Philosophers: Reconsidering Walter Vincenti’s What Engineers Know and How They Know It
2023. Forum on Philosophy, Engineering, and Technology (fPET 2023), Delft, Netherlands, April 19–21, 2023
From engineering knowledge to technological understanding: Integrating pieces of technological knowledge into a complex and coherent epistemic state of understanding
2023. 23rd Biennial International Conference of the Society for Philosophy and Technology: "Technology and Mobility" (SPT 2023), Tokyo, Japan, June 7–10, 2023
An Ethical Assessment of Digital Mobility Transitions: Perspectives from Care Ethics
2022. 5th European Technology Assessment Conference (ETAC5 2022), Karlsruhe, Germany, July 25–27, 2022
Integrating representational, exploratory, and design modeling
2022. 11. GAP: Philosophie & Öffentlichkeit, Kongress der Gesellschaft für Analytische Philosophie (2022), Berlin, Germany, September 12–15, 2022
What do engineers understand? The case of biological methanation
2022. 4th International Conference of the German Society for Philosophy of Science (GWP.2022 2022), Berlin, Germany, August 15–17, 2022
Integrating representational, exploratory, and design modeling
2022. 9th Biennial Society for Philosophy of Science in Practice (SPSP 2022), Ghent, Belgium, July 2–4, 2022
Reimagining the Future of Engineering
2021. The Routledge Handbook of the Philosophy of Engineering. Eds.: Diane P. Michelfelder, Neelke Doorn, 736–744, Routledge
Tugendethik
2021. Handbuch Technikethik. Hrsg.: A. Grunwald, 165–170, J.B. Metzler. doi:10.1007/978-3-476-04901-8_32
Models in Engineering and Design: Modeling Relations and Directions of Fit
2021. The Routledge Handbook of the Philosophy of Engineering. Eds.: Diane P. Michelfelder, Neelke Doorn, 383–393, Routledge
Machine Learning and the Future of Scientific Explanation
2021. Journal for general philosophy of science, 52 (21), 171–176. doi:10.1007/s10838-020-09537-z
The Integrative Expert: Moral, Epistemic, and Poietic Virtues in Transformation Research
2021. Sustainability, 13 (8), 1–11. doi:10.3390/su131810416
Scenarios as Tools of the Scientific Imagination: The Case of Climate Projections
2021. Perspectives on science, 29 (1), 36–61. doi:10.1162/posc_a_00360
Engineering design ethics is an epistemological problem
2021. 14th International Workshop on Design Theory - Special Interest Group of the Design Society (2021), Online, January 25–26, 2021
What do engineers understand? The case of biological methanation
2021. 8th The biennial meeting of the European Philosophy of Science Association (EPSA 2021), Online, September 15–18, 2021
Knowledge for Practicing Engineers and Philosophers: Reconsidering Walter Vincenti’s What Engineers Know and How They Know It
2021. 22nd Biennial Meeting of the Society for Philosophy and Technology: Technological Imaginaries (SPT 2021), Online, June 28–30, 2021
Understanding transport systems: Different perspectives on the Cologne Stadtbahn
2021. 22nd Biennial Meeting of the Society for Philosophy and Technology: Technological Imaginaries (SPT 2021), Online, June 28–30, 2021
Evaluating the Effect of XAI on Understanding of Machine Learning Models
2021. Philosophy of Science meets Machine Learning (2021), Tübingen, Germany, November 9–12, 2021
Designing as playing games of make-believe
2020. Design science, 6 (e10), 1–27. doi:10.1017/dsj.2020.8
Scientific Representation, Make-Believe and the Factivity of Model-Based Understanding
2020. 10th European Congress of Analytic Philosophy (ECAP 2020), Online, August 24–28, 2020
Models in Engineering and Design: Modeling Relations and Directions of Fit
2020. On-line Forum on Philosophy, Engineering and Technology (fPET 2020), Online, November 17–19, 2020
Uncertainties and Games of Make-Believe
2019. 12th SIG Design Theory Paris Workshop (2019), Paris, France, January 28–29, 2019
Representational success. Waltonian fictionalism and the factivity of model-based understanding
2019. Workshop “Epistemology of Science” (2019), Pittsburgh, PA, USA, September 20–21, 2019
The responsible engineer: The role of moral, epistemic, and poietic virtues
2019. SPT: Technology and Power (2019), College Station, TX, USA, May 20–22, 2019
Thin versus thick accounts of scientific representation
2018. Synthese <Dordrecht>, 195 (8), 3433–3451. doi:10.1007/s11229-017-1374-3
Architectural modeling: Interplay of designing and representing
2018. Models and Simulations 8 (2018), Columbia, SC, USA, March 15–17, 2018
Jet engines, design teams and the imagination: Designing as playing games of make-believe
2018. Forum on Philosophy, Engineering and Technology (fPET 2018), Maryland City, MD, USA, May 30–June 1, 2018
Designing as playing games of make-believe
2018. 11th SIG Design Theory Paris Workshop (2018), Paris, France, January 29–30, 2018
Models in science and engineering: Imagining, designing and evaluating representations
2017. TU Delft
Models in Science and Engineering : Imaging, Designing and Evaluating Representations. PhD dissertation
2017. Delft University of Technology (TU Delft)
The alleged distinction between cognitive and epistemic values: The case of simplicity
2017. Salzburg Conference for Young Analytic Philosophy, Salzburg, A, September 13-15, 2017
Architectural modeling: Interplay of designing and representing
2017. The Grammar of Things : 20th conference of the Society for Philosophy and Technology, Darmstadt, June 14-17, 2017
Modeling Organs with Organs on Chips: Scientific Representation and Engineering Design as Modeling Relations
2016. Philosophy & technology, 29 (4), 357–371. doi:10.1007/s13347-016-0225-3
Make-believe and model-based representation in science: The epistemology of frigg’s and toon’s fictionalist views of modeling
2016. Teorema, 35 (3), 201–218
The case of simplicity: Are certain cognitive values indeed non-epistemic values?
2016. 5th Rene Descartes Lectures, Tilburg University, NL, September 5-7, 2016
Persuading, designing and representing with architectural models
2016. Forum on Philosophy, Engineering & Technology (fPET), Nürnberg, May 18-20, 2016