Mr Charles Mondal

Research project: Computer Modelling the Development of Science Parks and Quantifying Benefits for their Inhabitants.


Technological districts (Science Technology Parks, STPs) with high levels of competitiveness and growth are not easy to establish. Pugh et al (2018) report a 60% failure rate in the UK, while the World Bank (Kelly & Firestone, 2016) report a success rate globally of only 20%. 

This work will model factors leading to success or failure of STPs, using comparative data from Sweden and the UK. The methods will be a combination of classical techniques like case-based reasoning but will also feature more econometric techniques including 3D modelling in Maple as well as Markov Chain Monte Carlo methods.

Impact will be high-profile and international in the area of public policy and governmental strategies and relevant to other subjects in the School, like "Smart Cities".

  • Research degree: PhD
  • Title of project: Computer Modelling the Development of Science Parks and Quantifying Benefits for their Inhabitants.
  • Research supervisor: Dr Robert B. Mellor


I am a doctoral student specializing in Science Technology Park (STP) research, with a strong passion for exploring the convergence of technology, innovation, and entrepreneurship. Building upon my Master's degree in Computing and more than a decade of experience in the field of Information Technology, I have developed a deep fascination with the concept of STPs and their pivotal role in fostering collaboration among academia, industry, and government stakeholders. 

My research primarily revolves around the identification and analysis of the critical success factors that influence the effectiveness of STPs. This entails examining various aspects such as infrastructure, governance, networking, policy frameworks, and mechanisms for knowledge transfer. By delving into these key areas, I aim to generate valuable insights and provide recommendations that can optimize the functioning of STPs. Moreover, I aspire to contribute to informed policy decisions, ultimately fostering regional economic growth and prosperity.

Areas of research interest

  • Computing
  • Business Cluster
  • Cluster Analysis
  • Data Analysis
  • Financial Data Analysis
  • Programming
  • Decision Making Process
  • Data Science and Knowledge Management
  • Econometrics Models


  • MSc In Computing


Mondal, Charles and Mellor, Robert B. (2021) Analyses of small and medium-sized science and technology parks show that longer-term growth may depend upon attracting larger partners. International Journal of Management and Enterprise Development, 20(3), pp. 311-328. ISSN (print) 1468-4330

Mondal, Charles, Kussainov, Adilkhan and Mellor, Robert B. (2021) Modelling the number of client firms needed to support a new Science Park and the spacing between new Parks and existing Parks with similar themes. International Journal of Knowledge-Based Development, 12(2), pp. 141-155. ISSN (print) 2040-4468

Mondal, C.; Al-Kfairy, M.; Mellor, R.B. Developing Young Science and Technology Parks: Recent Findings from Industrial Nations Using the Data-Driven Approach. Sustainability 2023, 15, 6226. su15076226

Mondal, Charles and Al-kfairy, Mousa and Mellor, Robert B, Entrepreneurial Universities: Modelling the Link Between Innovation Producers and Innovation Users Shows That Team Structures in the Tech Transfer Function Improves Performance (February 2, 2024). Economic Analysis Letters 3 (2) 26-33, 2024, Available at SSRN:

Conference papers

Towards a Unified Model of Science Park Development, 22nd European Conference on Knowledge Management

Innovation and Entrepreneurship: Modelling UK data shows the number of client firms needed to support a Science Park and the distance between Parks with similar and non-similar themes. TAKE 2022

40th IASP World Conference on Science Parks and Areas of Innovation, Conference paper: SUCCESS FACTORS FOR YOUNG Science and Technology Parks