Calls for papers

Here are the latest calls for papers and special issues from our extensive journal and case study range.
 

SDG(s)
Closes:

Call for Papers: Special Issue on ‘Crisis Management in Disturbed Economic and Political Worlds’

Review of Economics and Political Science
The Review of Economics and Political Science (REPS) invites papers for a Special Issue on ‘Crisis Management in Disturbed Economic and Political Worlds’.
Guest editor(s)
Closes:

The future of teamwork research: a multidisciplinary approach

Team Performance Management: An International Journal
This special issue aims at fostering a dialogue about what group and team research should focus on in the coming decade and what methods and processes may facilitate a synthesis between disciplines.
Guest editor(s)
Sjir Uitdewilligen, Patricia Costa, Eleni Georganta, Catarina Marques dos Santos, Pedro Marques-Quinteiro, Jan Schmutz,
Closes:

AI Applications in High-Speed Aerospace Propulsion Systems

Aircraft Engineering and Aerospace Technology: An International Journal
This Special Issue aims to accelerate the adoption of AI technologies in the aerospace industry, ultimately contributing to a more sustainable and efficient future of transportation.
Guest editor(s)
Nithya Subramani, Raja S, K. Vijayaraja, Femilda Josephin,
Closes:

Digital Finance and Economy: Policies and Impacts

Journal of Financial Economic Policy
This special issue examines the impacts of digital policies on economies and financial systems, exploring their effectiveness and consequences.
Guest editor(s)
Luu Duc Toan Huynh, Kiet Tuan Duong, Bryan S. Weber, Dao Trung Le,
Closes:

Behavioural aspects of mobilising on Scope 3 emissions

Journal of Responsible Production and Consumption
The aim of this special is to provide insight into the behavioural aspects, particularly where they relate to actively engaging and mobilising on this as an activity or not, that influences the...
Guest editor(s)
Dr Andy Hale, Luciana Salvatore, Mat Langley,
Closes:

Deep learning, automation, and big data analysis to reduce uncertainty in geotechnical practice

Machine Learning and Data Science in Geotechnics
The aim of the special issue is to centre the agenda for machine learning in geotechnics on big data, and data analysis, the use of models, such as deep learning, computer vision, 3D models, to...
Guest editor(s)
Maria Ferentinou, Liverpool John Moores University, UK; Charles John MacRobert, Stellenbosch University, South Africa; Michael Sakellariou, National Technical University of Athens, Greece; and Siau Chen Chian (Darren), National University of Singapore,

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