***** To join INSNA, visit http://www.insna.org ***** Dear Socnetters, Please consider the Call for Papers below. Best wishes, Marc Sarazin, Dominik Fröhlich, Martin Rehm Call for Papers: EUSN Networks for Learning organised session This session focuses on papers that use social network analysis to understand how individuals involved in activities related to education and learning (pupils, students, teachers, school management, policy makers etc.) are affected by or use their social networks for educational purposes or in educational settings. The session’s papers will build on the assumption that actors are embedded within social networks which provide opportunities and constraints, in turn affecting individuals’ behaviours and attitudes (Monge & Contractor, 2003, Emirbayer & Goodwin, 1994 Borgatti & Halgin, 2011). Within this framework, the session welcomes papers that seek to make empirical, methodological and/or theoretical contributions to understandings of social networks in learning and education. These could include papers on: - · The importance of social networks for the social and learning environments of students (Heidler et al., 2014) and educational professionals (e.g. teachers) (e.g. Rehm & Notten, 2016a,b) - Theoretical processes underlying social networks, as well as the antecedents and consequences of networks (e.g. Rehm, 2016) - Discussions of the particularities of educational settings from a social network perspective - Methodological innovations for studying social networks in learning and education (e.g. algorithms to describe and explain social and learning environments, combinations of different methodological approaches (e.g. Domínguez & Hollstein, 2014; Froehlich, 2016), etc.). - Social networks of educational policy-makers (e.g. Ball & Junemann, 2012, Rhodes, 2000) - Other topics within the above remit Contributions from all fields (Education, Sociology, Computational Social Science, Psychology, Organisation Science, Anthropology, Statistics, etc.) are welcome, including interdisciplinary endeavours combining insights from educational or learning sciences with social network perspectives. The session welcomes research using qualitative, quantitative, and mixed methods. Abstract Submission Guidelines 1. Visit http://www.eusn2017.uni-mainz.de/abstract-submission/ < http://www.eusn2017.uni-mainz.de/abstract-submission/> 2. Register via the CONVERIA conference management tool ("sign up for an account", if you don´t have one) and log in. 3. Click on the "New submission" link and fill out the form. Make sure you enter all required information: - State the title of your presentation and select the Networks for Learning Session. You can find a description of all sessions at http://www.eusn2017.uni-mainz.de/calls/ <http://www.eusn2017.uni-mainz.de/calls/> <http://www.eusn2017.uni-mainz.de/calls/> - Insert an abstract of max. 500 words. All abstracts (and presentations) must be in English. - State the full name, institution and contact information of all authors *Abstract submissions are due by March 31*. After this date, no abstracts will be accepted. You will receive a receipt of your submission by e-mail. Please note that only allow two submissions per person are allowed. All Session organisers: Marc Sarazin, Department of Education, University of Oxford Martin Rehm, Learning Lab, University Duisburg-Essen & UNU-MERIT, Maastricht University Dominik E. Froehlich, Department of Education, University of Vienna Marc Sarazin ----------- DPhil (PhD) Candidate in Education University of Oxford Wolfson College Web <http://www.education.ox.ac.uk/about-us/directory/marc-sarazin/> | LinkedIn <http://uk.linkedin.com/in/marcsarazin> ----------- _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.