Miss Cynthia Bueno Macedo Medeiros
Teaching Assistant
Management Science
Prize And Awards
Publications
- Are we speaking the same language? : Using topic models to shed light on research utilization issues between entrepreneurial ecosystem scholars and policy-makers
- Medeiros Cynthia, Green Stephen
- Entrepreneurial Ecosystem Research (2024)
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 artificial intelligence and Bayesian 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
- Royal Statistical Society Glasgow Local Group Committee (External organisation)
- Advisor
- 12/2025
- Dan Zhu
- Host
- 11/2025
- Do Citations Still Count? The Role of Topic Models in Tracking the Evolution of Narratives
- Speaker
- 16/4/2025
- Are we speaking the same language? Using topic models to shed light on research utilization issues between entrepreneurial ecosystem scholars and policy-makers
- Speaker
- 14/5/2024
Projects
- Risk Analysis for Nuclear Reactors in Scotland
- Bueno Macedo Medeiros, Cynthia (Principal 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
- Risk Analysis for Braking Systems in Nuclear Submarines
- Bueno Macedo Medeiros, Cynthia (Principal 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
Contact
Miss
Cynthia
Bueno Macedo Medeiros
Teaching Assistant
Management Science
Email: cynthia.medeiros@strath.ac.uk
Tel: Unlisted