Call for Papers (abstracts): General Online Research 2023
(GOR 23, https://www.gor.de)
When: 20–22 September 2023
Where: University of Kassel, Kassel, Germany
Main topics: Online and Mobile Web Surveys, Data Science, Big Data, Smart Data, Political Research, Public Opinion, Political Online Communication, Online Market Research
GOR is organized by the German Society for Online Research (DGOF, https://www.dgof.de/) since 1997. Each year more than 300 participants attend the conference to discuss current developments in online research and best practices for their work in industry and academia. With more than 100 presentations addressing various subtopics of online research, GOR provides intensive training and networking opportunities.
Partner and Co-Organizer: University of Kassel, Prof. Dr. Bettina Langfeldt
Conference Topics
This year’s conference seeks submissions in:
The programme committee invites presenters from industry, academia, official statistics, government agencies, and other sectors to submit their work for presentation. Submissions will be accepted based on a double-blind peer review process.
Submission Types
Deadlines
Submission Format and Submission Procedure
The official conference language is English. Abstracts should be submitted online to one of the tracks via https://www.conftool.org/gor23
The abstract can be up to 350 words. Abstracts will be peer-reviewed with respect to the quality of each of the four paragraphs in the abstract.
Template for abstract submission:
Relevance & Research Question: ---your text here---
Methods & Data: ---your text here---
Results: ---your text here---
Added Value: ---your text here---
Please use the above template for your abstract submission (one paragraph for each criterion and include the keywords at the beginning of each paragraph). Incomplete abstracts with respect to the formal criteria above are likely to be rejected.
Contact Details
Conference website, abstract submission, workshops: https://www.gor.de/
Contact: office@dgof.de
February 2023
Florian Keusch-- Florian Keusch Professor of Social Data Science and Methodology University of Mannheim A5, 6 Room B218, 2nd floor 68159 Mannheim, Germany +49 (0)621 - 181 3214 f.keusch@uni-mannheim.de floriankeusch.weebly.com