Surveys and Questionnaires: Designing, distributing, and analysing surveys for data collection.

Interviews: Conducting qualitative interviews to gather detailed insights.

Experimental Studies: Running controlled research study groups.

Field Research: Collecting data outside, in real-world environments.

Model Design: Tailoring models to specific economic scenarios such as market demand and supply, economic growth, inflation, fiscal policy, and international trade.

Dynamic Models: Creating models that incorporate time dynamics, such as econometric models, forecasting models, or agent-based models, to simulate real-world economic processes over time.

Input-Output Models: Analysing how different sectors of an economy interact with one another and how changes in one sector can affect others.

Overseeing Research Projects: Managing the logistics and timelines of large-scale research projects.

Team Coordination: Leading or coordinating a research team, managing tasks, and ensuring milestones are met.

Statistical Analysis: Using software to analyse quantitative data.

Qualitative Analysis: Analysing qualitative data, such as interview transcripts or open-ended survey responses.

Modelling and Simulations: Using algorithms or mathematical models to analyse data or predict outcomes.

Data Visualisation: Creating charts, graphs, and other visual representations of data.

Predictive Modelling: Developing models to predict future economic outcomes based on historical data, trends, and key drivers (e.g., market prices, consumer behaviour, or labour market trends).

Scenario Planning: Creating multiple "what-if" scenarios to assess the impact of different policy decisions, market shocks, or economic conditions on future trends.

Stress Testing: Evaluating the resilience of economic systems or institutions under adverse economic conditions (e.g., economic recessions, financial crises).

Polic

Searching for relevant research papers on a given topic.

Summarising existing studies and providing insights or critical analyses.

Identifying research gaps that could be explored further.

Regression Analysis: Using statistical techniques to understand relationships between economic variables, such as demand elasticity or the impact of interest rates on investment.

Time-Series Analysis: Applying methods to analyse economic variables over time, such as forecasting GDP growth, inflation, or unemployment rates.

Scenario Analysis: Evaluating how changes in economic factors (e.g., fiscal policies, trade tariffs, or technological innovations) would affect outcomes in different economic environments.

Academic Paper Writing: Writing research papers for publication in journals.

Grant Proposals: Writing proposals to secure funding for research projects.

Technical Reports: Writing reports to communicate research findings to stakeholders.