Project

Objectives: Develop and evaluate AI-driven methodologies for assessing the impact of social interventions through language-based analysis.

The research will address challenges related to contextual understanding, ethical considerations, and bias in AI-driven impact assessment, ensuring that the methodologies developed are inclusive and applicable across various interventions.

Research Questions:

• What components of data are most informative for AI-based intervention impact assessment? 
• Which NLP techniques could potentially facilitate the evaluation of intervention effectiveness? 
• Can an analytical pipeline prove its effectiveness in impact assessment across different aspects of skill development training? 
• Can these models understand the context-specific priorities to inform decisions on emergency notifications?