海角论坛

Publications

, ,

(2026)

, Green Stephen

Entrepreneurial Ecosystem Research (2024)

, ,

BaYSM - Bayesian Young Statisticians Meeting (2026)

Teaching

My teaching interests lie in quantitative decision-making, business analytics, risk analysis, and the application of data-driven methods to management and organisational contexts. I am particularly interested in helping students develop the ability to translate analytical concepts into practical decision-support tools, while communicating insights clearly to both technical and non-technical audiences.

Module Development

Undergraduate level

• MS430 - Programming with Business Analytics (4th BA (Hons), 2026/2027)

Sole Module Lead/Coordinator

Postgraduate Level

• MS981 - Data Lab (Hunter Centre for Entrepreneurship, Strategy and Innovation, 2024)
• MS422/927/831 - Risk Analysis and Management (Management Science, 2025)
• EF932/910 - Risk Management (School of Engineering, 2025)
• MS988 - Financial Modelling with Excel (Accounting & Finance, 2024 - present)

Module Co-Lead/Co-Coordinator

Undergraduate Level

• MS210 - Analysing and Improving Operations (w/ F. Ahmed, 2025 - present)

Postgraduate Level

• MS422/927 - Risk Analysis and Management (w/ B. Liu, 2026 - present)
• EF932/910 - Risk Management (w/ B. Liu, 2026 - present)
• MS829 - Spreadsheet Modelling and Demand Forecasting (w/ F. Ahmed, 2024)
• MG928 - Analytical Support for Decision Making (w/ K. Koutsouradis, 2023-2024)
• MS823 - Quantitative Business Analysis (w/ S. Harrington, 2023)

Supervision

I have supervised 18 postgraduate students (MSc Business Analysis and Consulting, MSc Business and Management) and 3 undergraduate students (BA (Hons) Business Analysis and Technology).

Research Interests

My research focuses on the development and application of statistical learning methods to support decision-making in business, entrepreneurship, and economic policy. I am particularly interested in extracting interpretable signals from high-dimensional data sources, especially text, and evaluating the reliability and uncertainty of these signals when used in organisational and policy contexts.

A central theme of my work is understanding how narratives, discourse, and information environments influence economic and organisational outcomes. This includes methodological research on model stability and validation, as well as applied work integrating AI-derived indicators within econometric and decision-analytic frameworks. My research sits at the intersection of management science, data science, and applied econometrics, with applications in innovation, forecasting, and risk-informed decision support.

Professional Activities

Advisor

12/2025

Host

11/2025

Organiser

1/10/2026

Speaker

27/6/2026

Organiser

18/6/2026

Organiser

28/4/2026

Projects

Bueno Macedo Medeiros, Cynthia (Principal Investigator) MacInnes, Don (Co-investigator)

Knowledge exchange activity focused on risk analysis for nuclear reactor deployment in Scotland, involving collaboration with external stakeholders to translate academic methods in risk and decision analysis into applied contexts. The activity resulted in the supervision of 11 commissioned postgraduate dissertation projects addressing real-world challenges related to nuclear reactor deployment, safety, and decision-making under uncertainty.

01-Jan-2024 - 01-Jan-2025

Bueno Macedo Medeiros, Cynthia (Principal Investigator) MacInnes, Don (Co-investigator)

Knowledge exchange activity focused on the application of risk analysis methodologies to braking systems in nuclear submarines. The project involved translating academic approaches in reliability and risk modelling to an industrial context, supporting the evaluation of system performance, safety, and decision-making under uncertainty. The collaboration led to the commissioning of six MSc dissertation projects based on real-world industrial challenges.

01-Jan-2024 - 01-Jan-2024

Hauzenberger, Niko (Principal Investigator) Bueno Macedo Medeiros, Cynthia (Co-investigator) Koop, Gary (Co-investigator)

2026 Student Excellence Awards (SEA) under the John Anderson Research
Studentship Scheme (JARSS): 拢134,525

01-Jan-2026 - 01-Jan-2029

Bueno Macedo Medeiros, Cynthia (Principal Investigator) MacInnes, Don (Co-investigator)

Knowledge exchange activity focused on applying management science to strategic decision-making challenges within the UK's Defence Nuclear Enterprise, in partnership with Frazer-Nash Consultancy. The activity will result in the supervision of six commissioned postgraduate dissertation projects addressing defence procurement, nuclear supply chains, strategic investment appraisal, consortium bidding, and capacity planning.

25-Jan-2026 - 30-Jan-2026

Bueno Macedo Medeiros, Cynthia (Principal Investigator) Kelen, Pedro (Co-investigator)

Knowledge exchange activity focused on supporting strategic growth decision-making for digital platform businesses addressing Uber Technologies' key operational management expansion challenges. The activity will result in the supervision of postgraduate consultancy projects addressing mergers and acquisitions, organic growth strategies, strategic investment, market entry, platform economics and business analytics.

03-Jan-2026 - 30-Jan-2026

Green, Stephen (Principal Investigator) Bueno Macedo Medeiros, Cynthia (Co-investigator)

This project employs computational text analysis to examine the extent to which academic research on entrepreneurial ecosystems is reflected in policy discourse across the four UK nations. By comparing thematic structures in academic literature and policy documentation across multiple case study ecosystems, the project seeks to shed light on research utilisation gaps between scholars and policy-makers.

This project has been funded by Heriot-Watt University's Early Career Development programme.

01-Jan-2026 - 30-Jan-2027