Dr. Nigel Goddard

Professor

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Biography

Nigel Goddard is an Honorary Professor at the University of Edinburgh, specifically within the Institute of Adaptive Neural Computation in the School of Informatics. Although retired, he maintains an active interest in computational modeling systems related to sustainability, which are critical for the continued functioning of human civilization. His work encompasses various systems, including natural, social, and technological frameworks, emphasizing the importance of sustainability in both stability and adaptability in the face of change or collapse. He is committed to fostering student engagement in this field through course projects and dissertations and collaborates with staff across Edinburgh institutions in the realm of research. Goddard has been involved in numerous projects such as the IDEAL project focusing on energy efficiency and user behavior in homes, utilizing machine learning and smart technologies to foster energy conservation. He has also been a key figure in the BIG-SMALL project investigating national patterns of energy use and has contributed to high-level discussions on macroeconomic modeling, emphasizing long-term sustainability. Goddard actively participates in EU initiatives aimed at smart city development and has long been dedicated to teaching computational modeling in sustainability, ensuring that future leaders are well-equipped to tackle pressing environmental challenges.

Research Interests

Experience

Founding CEO

2002-09-01 — 2006-07-01

ResearchSpace Ltd • Edinburgh, Scotland

Founded and led a company providing an online Electronic Lab Notebook, advising and supporting it through its development.

Requirements for University of Edinburgh

Master Program
Requirements
GPA Requirement
Required:3.25
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Undergraduate degree in business, management, or related subject
Application Checklist
  • Academic transcripts
  • Personal statement
  • One academic reference
  • CV/Resume
Specialization Notes

Department of Marketing