*Call for Papers (abstracts): General Online Research 2024 * *(GOR 24,* *https://www.gor.de* <https://www.gor.de/>*)* *When:* * 21–23 February 2024* *Where: Rheinische Fachhochschule Köln gGmbH, Cologne, Germany* * Until *15 November 2023*: Deadline for abstract submissions for tracks A, B, C as well as the GOR Thesis Award 2024 competition * Until *30 November 2023*: Deadline for abstract submissions for GOR Best Practice Award 2024 and the Track D Session “Innovation in Practice” * Until *18 December 2023:* Deadline for submissions for Poster presentations (incl. GOR Poster Award 2024) *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 around 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: Rheinische Fachhochschule Köln – University of Applied Sciences, Prof. Dr. Christian Bosau Please find the detailed call at https://www.gor.de/about/call-for-papers.html *Conference Topics* This year’s conference seeks submissions in: * *Survey Research:* *Advancements in* *Online and Mobile Web Surveys (Track A)* * *Data Science: >From Big Data to Smart Data* *(Track B)* * *Politics, Public Opinion, and Communication* *(Track C)* 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* 1. *Survey Research: Advancements in Online and Mobile Web Surveys (Track A)* 2. *Data Science: >From Big Data to Smart Data* *(Track B)* 3. *Politics, Public Opinion and Communication (Track C)* 4. *Best Practice Presentations (including the GOR Best Practice Award 2024 competition)* 5. *Posters (including the GOR Poster Award 2024 competition)* 6. *Thesis Presentations (including the GOR Thesis Award 2024 competition)* *Deadlines* * *15 November 2023*: Deadline for abstract submissions for Tracks A – C as well as the GOR Thesis Award 2024 competition * *30 November 2023*: Deadline for abstract submissions for GOR Best Practice Award 2024 and the Track D Session “Innovation in Practice” * *18 December 2023:* Deadline for submissions for Poster presentations (incl. GOR Poster Award 2024) * *3 January 2024*: Deadline presenting author registration (usually the first author) * *14 January 2024*: Deadline for early bird registration & for poster presenters registration (usually the first author) *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/gor24/ 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 October 2023 Prof. Dr. Simon Kühne (GOR 24 Programme Chair) on behalf of the programme committee -- Florian Keusch Professor of Social Data Science and Methodology University of Mannheim School of Social Sciences Professorship for Social Data Science and Methodology | A5, 6 | 68131 Mannheim Germany Phone: +49 (0)621 181-3214 E-mail:f.keusch@uni-mannheim.de