Project and Risk Management

The Project and Risk Management conference stream is an open call to prospective authors to submit abstracts and presentations either theory-or practice-oriented, that detail recent research results in the following essential areas: 

  • Advanced modelling of project management processes and their consequential impact on project
  • Project risk identification, assessment, and mitigation strategies, with an emphasis on uncertainty modelling and quantification.
  • Innovative approaches in decision analysis for projects, encompassing both quantitative and qualitative methodologies.
  • Behavioural dynamics in project teams, focusing on team performance and leadership styles.
  • Integration of emerging technologies in project management, exploring the impact of AI, Big Data, and IoT on project efficiency and decision-making.

We welcome the use of both quantitative and qualitative methods for project and risk management. Quantitative approaches may include, but are not limited to, artificial neural networks, fuzzy logic, Bayesian theory, system dynamics, discrete event simulation, agent-based modelling, and hybrid modelling. Simultaneously, qualitative research that delves into the exploration of new theoretical frameworks, the development of comprehensive definitions, and the provision of in-depth insights in project and risk management.

Our aim is to foster a collaborative environment that encourages the exchange of ideas in project and risk management in operational research. As such, we invite case studies, real-world applications, and theoretical papers from all sectors in order to foster a deeper understanding of key trends and challenges.

Prospective authors who need further guidance on the suitability of their proposed topic are encouraged to contact us directly. [email protected]


Nicholas Dacre

Nicholas Dacre, University of Southampton

Abroon (1)

Dr Abroon Qazi, American University of Sharjah, UAE


M.K.S. Al-Mhdawi, Teesside University, UK