Early Career Workshop
Submissions / Early Career Workshop
Early Career Workshop: Call for Submissions
Please submit your application via easychair.org/conferences/?conf=isls2023 by 31 January 2023, 23:59 PST
Organizers & Contact
- Carol Chan • The University of Hong Kong, Hong Kong
- Clark Chinn • Rutgers University, USA
- Julia Eberle • Ruhr University Bochum, Germany
Please contact Carol , Clark or Julia for all questions regarding the workshop.
- 31 January 2023 • Applications due
- Mid-March 2023 • Notifications of acceptance
- Late March, 2023 • Submissions of the final abstract for publication due (camera ready)
- 10–11 June 2023 • Early Career Workshop
- 10–15 June 2023 • ISLS Annual Meeting
The aim of the workshop is to provide an opportunity for researchers early in their careers working in the Learning Sciences and Computer-Supported Collaborative Learning to:
- Present and discuss their own research and receive constructive feedback;
- Discuss and receive advice on challenges early career researchers are facing in the Learning Sciences and Computer-Supported Collaborative Learning, such as developing a career plan and a research agenda, going abroad, collaboration as an interdisciplinary and international field that builds on a range of different methodological approaches, publication strategies, work organization (e.g. making time to read and write), being a mentor / supervisor, engaging in scientific communities, and work-life-balance;
- Build networks with fellow early career researchers interested in similar topics (also cross-disciplinary and cross-methodological) and also with mentoring senior researchers;
- A number of activities are planned to address these topics including panel and small group discussions, conversations with peers and mentors, as well as social activities. Mentors are experienced researchers and members of ISLS from all over the world.
The Early Career Workshop will involve a two-day event on June 10–11, 2023 during the ISLS Annual Meeting in Montréal, Canada. Depending on availability of funds, there may be support to offset some of the costs of accommodation and registration, as well as travel stipends. Prior to the workshop, a few preparatory activities are required to enable us to use the time within the workshop as best as possible.
Who should apply?
Application is open to scholars who have received their PhD not more than five years ago and who are employed in a research position at an academic institution (typically a university) or equivalent / comparable institution (e.g. SRI, ETS, Fraunhofer, Max-Planck institutes).
How to apply?
To apply please submit one PDF document containing the following six sections:
- A cover sheet with your name, institution, email address, personal webpage, and postal address.
- A current curriculum vitae and list of publications.
- A one-page narrative description of your current position, including the type of institution where you work and your job responsibilities (including teaching, research, mentoring, and committee work).
- A two-page summary of your research, including theoretical framework, methods used, and plans for moving forward in conference style. It should become clear from your summary how your research relates to Learning Sciences / CSCL research. This paper will be the basis for the two-page paper that will be published in the proceedings.
- Filled-in questionnaire describing your relation to the ISLS (download the template here).
- A brief statement of potential benefit of your participation in the Early Career Workshop (1) to the Learning Sciences community and (2) to you (including topics you would like to see addressed in the workshop).
Please submit all papers in one file in PDF format. The application should be submitted via EasyChair at easychair.org/conferences/?conf=isls2023 by 31 January 2023, 23:59 PST.
Participation is limited and competitive. Selection criteria include eligibility requirements, scientific quality of the proposal, potential benefit of the participation to the applicant and to the Learning Sciences community, and the assembly of a productive and diverse cohort regarding institutions, topics, disciplines, and nationalities.