Fakultät für Geistes- und Kulturwissenschaften

Dr. Florian J. Boge

AOS: Philosophy of Science, Philosophy of Simulation and Machine Learning, Philosophy of Quantum Physics
AOC: Epistemology, Metaphysics, Formal Logic


Gaußstr. 20,
42119 Wuppertal
room S.11.19
phone: +49 (0)202 439 2794

personal website

Short CV

As of October 2022: Interim Professor (50%) and Postdoctoral researcher (50%) at Wuppertal University
2017-2022 Postdoctoral researcher at Wuppertal University and RWTH Aachen
2018 Visiting scholar at the Stellenbosch Institute for Advanced Study (STIAS)
2016 Visiting scholar at the University of Oxford
2006-17 Assistant and predoctoral positions at Düsseldorf University

2017 PhD (Dr. Phil.) in Philosophy, University of Cologne
2016 recognised (=visiting PhD) student, Oxford University
2016 BSc in Physcis, University of Cologne
2012 MA in Philosophy, Düsseldorf University
2008 BA in Philosophy & Linguistics, Düsseldorf University

Publications

Quantum Mechanics Between Ontology and Epistemology, European Studies in Philosophy of Science Vol. 10, Springer (2018)

2. Special Issue: Machine Learning: Prediction Without Explanation?, Minds and Machines, 32(1), co-edited with R. Hillerbrand and P. Grünke

1. Topical Collection: Simplicity Out of Complexity? Physics and the Aims of Science, Synthese, co-edited with M. Á. Carretero Sahuquillo, P. Grünke, and M. King

13. Two Dimensions of Opacity and the Deep Learning Predicament, Minds and Machines, 32(1), pp. 43-75, doi: 10.1007/s11023-021-09569-4 (2022)

12. Realism Without Interphenomena: Reichenbach’s Cube, Sober’s Evidential Realism, and Quantum Solipsism, International Studies in the Philosophy of Science, 33(4), pp. 231-246, doi:10.1080/02698595.2021.1964335 (online 2021)

11. Why Trust a Simulation? Models, Parameters, and Robustness in Simulation-Infected Experiments British Journal for the Philosophy of Science, doi: 10.1086/716542  (online 2021)

10. Incompatibility and the Pessimistic Induction: A Challenge for Selective Realism, European Journal for Philosophy of Science, 11(2), 46, doi: 10.1007/s13194-021-00367-4 (2021)

9. Quantum Reality: A Pragmaticized Neo-Kantian Approach, Studies in History and Philosophy of Modern Physics, 87, pp. 101-113, doi: 10.1016/j.shpsa.2021.03.009 (2021)

8. Polycratic Hierarchies and Networks: What Simulation-Modeling at the LHC can Teach us About the Epistemology of Simulation, together with C. Zeitnitz, Synthese, 199(1-2), 445–480, doi: 10.1007/s11229-020-02667-3 (online 2020)

7. How to Infer Explanations From Computer Simulations, Studies in History and Philosophy of Science, 82, pp. 25-33, doi: 10.1016/j.shpsa.2019.12.003 (online 2019)

6. Is the Reality Criterion Analytic?, together with D. Glick (first author), Erkenntnis, 86(6), pp. 1445-1451, doi: 10.1007/s10670-019-00163-w (online 2019)

5. Quantum Information vs. Epistemic Logic: An Analysis of the Frauchiger-Renner Theorem, Foundations of Physics, 49(10), pp. 1143-1165, doi: 10.1007/s10701-019-00298-4 (2019)

4. The Best of Many Worlds, or, is Quantum Decoherence the Manifestation of a Disposition? Studies in History and Philosophy of Modern Physics, 66, pp. 135-144, doi: 10.1016/j.shpsb.2019.02.001 (2019)

3. Why Computer Simulations are not Inferences, and in What Sense They are Experiments, European Journal for Philosophy of Science, 9(13), doi: 10.1007/s13194-018-0239-z (2019)

2. An Argument Against Global No Miracles Arguments, Synthese, 197(10), 4341-4363, doi: 10.1007/s11229-018-01925-9 (online 2018)

1. Tropes With a Kantian Flavor. A Solution to Russell’s RegressConceptus, 41(99-100), pp. 123-134 (2014)

4. Minds and Machines Special Issue: Machine Learning: Prediction Without Explanation? together with P. Grünke and R. Hillerbrand, Minds and Machines, 32(1), pp. 1-11, doi: 10.1007/s11023-022-09597-8 (2022)

3. Back to Kant! QBism, Phenomenology, and Reality from Invariants. Forthcoming in: Berghofer, P. and Wiltsche, H. A. (Eds.), Phenomenology and QBism: New Approaches to Quantum Mechanics, Routledge (expected 2022)

2. A Brief Historical Perspective on the Consistent Histories Interpretation of Quantum Mechanics, together with G. R. Rocha and D. Rickles. Forthcoming in: Olival Freire Junior (Ed.), Oxford Handbook of the History of Quantum Interpretations, OUP (expected 2022)

1. Computer Simulations, Machine Learning and the Laplacean Demon: Opacity in the Case of High Energy Physics, together with P. Grünke, forthcoming in Resch, Kaminski, and Gehring (Eds.), The Science and Art of Simulation II, Springer (expected 2022)
 

5. Invited book review: Hilbert Space Gone Bananas (Again). Michael Janas, Michael E. Cuffaro and Michel Janssen: Understanding Quantum Raffles, Metascience, doi: 10.1007/s11016-022-00801-0 (online 2022)

4. Meeting report: Machine Learning and the Future of Scientific Explanation, together with M. Poznic, Journal for General Philosophy of Science 52(1), 171–176, doi: 10.1007/s10838-020-09537-z (2021)

3. Meeting report: Interdisciplinary Perspectives on Particle Physics, together with A. Wüthrich, CERN Courier 59(1), pp. 18–19 (2019)

2. Simon Friederich: Interpreting Quantum Theory: A Therapeutic Approach, Erkenntnis 82(2), pp 443–449, doi: 10.1007/s10670-016-9823-9, (2017)

1. ψ-Epistemic Models, Einsteinian Intuitions, and No-Gos. A Critical Study of Recent Developments on the Quantum State, PhilSci Archive:12048, arXiv:1603.09463 [quant-ph] (2016)

4. Tune in and Find Out: Why it may be epistemically acceptable to tune models for experimental analysis, BJPS Short reads, no. 15 (online 2022)
audio version

3. Correction to: An Argument Against Global No Miracles Arguments, Synthese, doi: 10.1007/s11229-020-02586-3 (online 2020)

2. BSc thesis: On Probabilities in the Many Worlds  Interpretation of Quantum Mechanics, Cologne University Publication Server, urn:nbn:de:hbz:38-68892 (2016)

1. Translation of Doppelt, Gerald D., The Value-Ladeness of Scientific Knowledge, into German, in: Carrier, M. and Schurz, G. (eds.) Werte in den Wissenschaften, Suhrkamp (2013)

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