Workshop 2: From Data to Insights – AI-Powered Data Analysis & Interpretation

What participants will explore:

• How to clean and organise data for analysis.
• How AI can help interpret qualitative and quantitative data.
• How to connect AI-driven insights to research goals.

Good analysis starts with well-prepared data—but working with messy datasets can be challenging.

In this session, we’ll look at how AI can assist in cleaning, analyzing, and making sense of data.

You'll get an introduction to AI-powered techniques for structuring data, identifying patterns, and summarising key insights.

This session is designed to give you a practical overview and ideas on how AI can support your research process, with a focus on making data-driven insights more accessible and actionable.

‍Workshop Content:‍

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1. Data Preparation & Quality

• Identifying and fixing common data issues (missing values, duplicates, formatting).
• Structuring research data for AI-driven analysis.

2. Qualitative Data Analysis

• AI-powered NLP for sentiment analysis, topic detection, and summarization. 
• Extracting key insights from survey responses, interviews, and research reports.

3. Quantitative Data Analysis

• Identify patterns, correlations and anomalies in research data
• Validating AI-generated insights to ensure research credibility

3. Insights & Decision Making with Data & AI

• Turning AI-driven insights into actionable research conclusions.
• Connecting AI insights to research goals and stakeholder communication.

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