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Mr Charles Mondal

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

Abstract

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 Mellor

Biography

I am a research student at Kingston University, London under Faculty of Science, Engineering and Computing. My research interest is using computer modelling to help organisations and governments build a proper strategic plan when planning for a new STP by examining young ones and comparing them to mature successful ones. I am interested in analysing the success and optimum configuration of business clusters, using an approach based on econometrics, regional studies and innovation management. I did my MSc in Computing from London Metropolitan University and have passed with merit. Last 10 years I have worked as a software programmer and have gained significant experience in data analysis and implement them using programming language to develop reports and application.

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

Qualifications

  • MSc In Computing
  • Graduate Certificate In Computing
  • International Higher Diploma In Computer Studies
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