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?
