contact information

fields of interest

science studies || social epistemology || social network theory || digital sociology || computational social science

phd project

Science, Software, Social ties: Aspects of trust and reputation in the socio-epistemic network of scientists and developers in software references and software dependencies

PhD project since December 2019, supervisor: Prof. Reinhart, Science Studies, Department of Social Sciences, Humboldt-Universität zu Berlin


Software as a tool for epistemic work is part of the research process with actors and implications attached to each of them. Specifically, differentiated research (sub-)communities in the social sciences gather not only around theories and methods, but also around software they use, be it R or Stata, MAXQDA or ATLAS.ti. However, whereas the scientific publication system is investigated thoroughly, the research on science networks often does not take scientific software into account. In science, trust and reputation are in part maintained through authorship and references. As we find similar concepts in software packages, two scientific research questions arise: 1. In how far do socio-epistemic networks of developers, users and pieces of software show similar characteristics as publication networks? 2. Which are the relevant decision vectors driving network formation, and which are the roles of trust and reputation?

Full text of short proposal as pdf


Krüger, A. K., Hartstein, J., & Hesselmann, F. (2019). Mehr Daten, mehr Wissen? – Sozialwissenschaftliche Perspektiven auf digitale Datenproduktion und -nutzung.

Hartstein, J. (2019). Admitting uncertainty: a weighted socio-epistemic network approach to cognitive distance between authors. In Catalano, G., Daraio, C., Gregori, M., Moed, H. F., & Ruocco, G (Hrsg.) Proceedings of the 17th Conference of the International Society for Scientometrics and Informetrics (ISSI 2019), Vol. 2, (S. 2043-2052). Edizioni Efesto. ISBN 978-88-3381-118-5.

Franzen, M., Hartstein, J., & Priester, S. (2016). Der vermessene Nutzen der Forschung. Impact als neuer Faktor im britischen Evaluationssystem. WZB-Mitteilungen, H. 152, S. 34-37.

selected presentations

Hartstein, J. (2020, September). Consistency and disagreement in journal peer review and the norm of disinterestedness. PEERE International Conference on Peer Review. 29.9.-1.10.2020, Valencia/online (Spain).

Hartstein, J. (2019, September). Admitting uncertainty: a weighted socio-epistemic network approach to cognitive distance between authors. EUSN 2019: 4th European Conference on Social Networks, 9.-12.9.2019, Zurich (Switzerland).

Hartstein, J., Krüger, A., & Heßelmann, F. (2019, Juni). Besser Steuern durch mehr Daten?. #HUkon19: Internet, KI und deren Einfluss auf die Gesellschaft, 22.-23.06.2019, Freiburg (Germany).

Hartstein, J. (2018, Juli). Recognition by numbers: who shapes algorithmic science evaluation?. Meeting of the European Association for the Study of Science and Technology (EASST), Lancaster University, 25.-28.07.2018, Lancaster (United Kingdom).

Hartstein, J., Isigkeit, T., & Sörgel, F. (2017, Dezember). Algorithmic science evaluation and power structure: the discourse on strategic citation and ‚citation cartels‘. 34. Chaos Communication Congress (34C3), 27.-30.12.2017, Leipzig (Germany).


SoSe 2019 || Dimensionen von Fachkulturen: theoretische und empirische Perspektiven (mit Jens Ambrasat)

WiSe 2018/19 || Fachkulturen und Interdisziplinarität im virtuellen Raum (mit Andreas Lingnau)

SoSe 2018 || Algorithmische Evaluation in der Wissenschaft

me at other places

as researcher at the German Centre for Higher Education Research and Science Studies (DZHW)

as writer at the mobile privacy and security information portal

very short CV

since 2019 || PhD student || Department of Social Sciences || Humboldt-Universität zu Berlin

2017 || M.A. in Science Studies || Humboldt-Universität zu Berlin

2015 || B.Sc. in Business Mathematics || Hochschule für Technik und Wirtschaft (HTW), Berlin