Call for Abstracts for the RC33 Regional Conference in partnership with the International and Interdisciplinary Conference on Spatial Methods
This is an invitation for all scholars of all social and spatial sciences and other scholars who are interested in methodological discussions to submit abstracts for the “1st International and Interdisciplinary Conference on Spatial Methods” (SMUS) to any sessions of the conference. Deadline for abstracts: 31st May 2021.
The “Global Center of Spatial Methods for Urban Sustainability” (GCSMUS) together with the Research Committee on “Logic and Methodology in Sociology” (RC33) of the “International Sociology Association” (ISA) and the Research Network “Quantitative Methods” (RN21) of the European Sociology Association” (ESA) will organize a “1st International and Interdisciplinary Conference on Spatial Methods” (“SMUS Conference”) which will at the same time be the “1st RC33 Regional Conference – Africa: Botswana” from Thursday 23rd September – Sunday 26th September 2021, hosted by the University of Botswana in Gaborone, Botswana.
Given the current challenge of the COVID-19 pandemic, the conference will convene entirely online. The conference aims at promoting a global dialogue on methods and should attract methodologists from all over the world and all social and spatial sciences (e.g. area studies, architecture, communication studies, educational sciences, geography, historical sciences, humanities, landscape planning, philosophy, psychology, sociology, urban design, urban planning, traffic planning and environmental planning).
All papers have to address a methodological problem. Please find more information on the above institutions here:
- Global Center of Spatial Methods for Urban Sustainability (GCSMUS)
- ISA RC33
- ESA RN21
- University of Botswana in Gaborone
If you are interested in getting further information on the conference such as Calls for Abstracts) and other GCSMUS activities, please subscribe to the GCSMUS newsletter by registering on this website.
Abstract based directly on source.