Dai, Lianghao

Georg-Elias-Müller-Institut für Psychologie

Raum: 3.134 PICTURE

+49 (0)551 39-4627



Sprechstunde: nach Vereinbarung



09/2012 - dato

Promotionsstudent in der Abteilung für Sozial- und Kommunikationspsychologie (Prof. Dr. Margarete Boos) am Georg-Elias-Müller-Institut für Psychologie



Exkursion in der Gruppe Computer Network, Institut für Informatik, Universität Göttingen, Deutschland.

09/2009 - 07/2012

Master in Soziologie, Tsinghua-Universität Peking

09/2005 - 07/2009

Bachelor in Informatik, Universität für Post und Fernmeldewesen, Peking



Dai, L., & Boos, M. (in press). Different patterns of interdisciplinary collaboration require different structures of knowledge sharing. Nature

Dai, L. (2018). How to find a job after your PhD. EASST Review. Volume 37(4). https://easst.net/article/how-to-find-a-job-after-your-phd/

Dai, L., & Boos, M. (2017). How much sharing is enough? Cognitive patterns in building interdisciplinary collaborations. In X. Fu, J. Luo, & M. Boos (Eds). Social Network Analysis: Interdisciplinary Approaches and Case Studies. Abingdon: Taylor & Francis.

Dai L. 2012. (in Chinese) The Interaction Between Online and Offline Communities—A Case Study on Homosexual Groups. In Y. Zheng, S. Pan, & Y. Shen (Eds). Selection Sociology Master Theses in Beijing University, Tsinghua University and Renmin University in 2012. Beijing: China Youth Publishing Group.


Dai, L. (2018, September). At the edge of disciplinary mindsMeta-cognition and inter-disciplinary collaboration in a German university. Paper presented at The Annual Meeting of the Association of Social Anthropologists of the UK and Commonwealth (ASA). Oxford, UK.

Dai, L. (2018, August). Opening the Black BoxThe cognitive mapping approach in the study of interdisciplinary collaborations. Paper presented at The Annual Meeting of the Society for Social Studies of Science (4S). Sydney, Australia.

Dai, L. (2018, July). To collaborate interdisciplinarily but work disciplinarily?Division of scientific labor and cognitive dynamics in interdisciplinary collaboration. Paper presented at The Annual Meeting of the European Association for the Study of Science and Technology (EASST). Lancaster, UK.

Speech. Opening the “black box” of scientific knowledge production in interdisciplinary  collaborations--towards a cognitive map approach. Department congress. June, 2017.  Georg-Elias Müller-Institute of Psychology, Georg-August-Universität Göttingen, Deutschland.

Dai, L., & Zhang, T. 2014. University as Factory: Academic Labor and Its Work Process in Chinese Universities. Society for the Advancement of Socio-Economics (SASE), 10-12, July 2014, Chicago, USA.

Dai, L., Luo, J., Fu, X., & Li, Z. 2012. Predicting Offline Behaviours from Online Features - an  Ego-centric Dynamical Network Approach. Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research, ACM KDD 2012,  August 2012, Beijing, China. (link)

Dai, L., and Luo, J. 2010. (in Chinese) An Introduction to Interaction-Power Model—A New Framework. Annual Conference of Chinese Network on Social Network Studies. December, 2010. Guangzhou, China


Förderungen und Preise 


  • Emergency Grant, The Göttingen Graduate School of Social Sciences (GGG)
    • 1600 € per month to cover students' final half year's thesis writing. Awarded to those with excellent research abilities, children and hard financial situation. Only two candidates are honored each year.


  • Departmental Conference Fund, Institute of Psychology, University of Göttingen
    • 2000 € to cover travelling fees caused by conference attendance.
  • Fee waiver of the 2018 Annual Meeting of the European Association for the Study of Science and Technology (EASST)
  • Travel Grant for Conferences, Universitätsbund Göttingen
    • Awarded to support conference attendance




  • Cognitive Mapping / Soziale Netzwerkanalyse
  • Soziologie des wissenschaftlichen Wissens / Wissenschaft und Technologie Studien
  • Wissensaustausch, Gruppenbildung und ihre Interaktionen im Prozess der interdisziplinären Zusammenarbeit
  • Akademische Arbeit / Soziologie der Arbeit