Ongoing
Nov. 2021 - Oct. 2026
B.A. and M.A. in History and Art History (2010–2016) at Ludwig-Maximilians-University Munich, the University of Edinburgh and the Tel Aviv University of Israel. Student assistant in the fields of History of Science and Technology and Holocaust Studies. Research assistant (2017–2020) in the Department of Computational Social Science and Big Data at the Bavarian School of Public Policy at the Technical University of Munich and PhD (2022) in Computational History at the intersection of history and computer science.
Since October 2021 member of the academic staff at the IEG in the Digital Historical Research Unit | DH Lab.
- Computational History / Digital History
- Theories and methods of digital humanities, especially (historical) network research, text and data mining, LLM for historical sciences
- Modern and contemporary history
- Petz, C. (2024): Zur Geschichte der Historischen Netzwerkforschung. In: Stegbauer, Christian & Häußling, Roger (Eds.): Handbuch Netzwerkforschung. Springer VS, Wiesbaden. Neue erweiterte Auflage. pp. 1–16, https://doi.org/10.1007/978-3-658-37507-2_80-1
- Petz, Cindarella (2022). On Combining Network Research and Computational Methods on Historical Research Questions and its Implications for the Digital Humanities. Dissertation at the Technical University of Munich, http://mediatum.ub.tum.de/?id=1624881
- Petz, Cindarella & Ghawi, Raji & Pfeffer, Jürgen (2022). Tracking the Evolution of Communities in a Social Network of Intellectual Influences. Journal of Historical Network Research 2022, vol. 7, number 1, pp. 114– 154, https://doi.org/10.25517/jhnr.v7i1.146
- Petz, Cindarella & Pfeffer, Jürgen (2021). Configuration to Conviction. Network Structures of Political Judiciary in the Austrian Corporate State. Social Networks, vol. 66, July 2021, pp. 185–201, https://doi.org/10.1016/j.socnet.2021.03.001
- Petz, Cindarella & Ghawi, Raji & Pfeffer, Jürgen (2020). A Longitudinal Analysis of a Social Network of Intellectual Influence. IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2020, pp. 340–347, https://doi.org/10.1109/ASONAM49781.2020.9381318 (Preprint: arXiv:2009.03604 [cs.SI])
