Dai, Lianghao

Georg-Elias-Müller-Institute of Psychology

Room: 0.125b PICTURE
Phone: +49 (0)551 39-4627
e-Mail:

Consultation: on appointment

 

Biographic

 

09/2012 - now

Doctoral student in the Department for Social and Communication Psychology (Prof. Dr. Margarete Boos) at the Georg-Elias-Müller-Institute of Psychology

 11/2011 - 02/2012

Visiting Scholar in the Computer Network Group, Institute of Informatics, University of Göttingen, Germany.

09/2009 - 07/2012

Master Degree in Sociology, Tsinghua University, Beijing

09/2005 - 07/2009

Bachelor Degree in Computer Sciences, Beijing University of Posts and Telecommunications

 

PUBLICATIONS

Dai, L. (in press). How to find a job after your PhD. Science & Technology Studies.

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.

 

CONFERENCE PAPERS & PRESENTATIONS

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, Germany.

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.

 

Grants and Prizes

2019

  • 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.

2018

  • 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

2013

 

 

Reserch Areas

  • Cognitive mapping/ Social network analysis
  • Sociology of scientific knowledge/ Science and technology studies
  • Knowledge sharing, group formation and their interactions during the process of interdisciplinary collaborations
  • Academic Labor/ Sociology of Labor