We’ll be delving into how the pragmatic, tangible use of novel data sources, AI and other innovative techniques can enhance the speed, scale and quality of social research analysis.
More so than ever, Government needs access to high quality, accurate, timely and representative research and data to inform policy development, understand public service user’s needs and deliver operationally. Whilst research has traditionally involved a mixture of qualitative and quantitative research techniques such as large-scale panel surveys and indices, public consultations, and focus groups and interviews, new technologies present exciting opportunities for advancing research in Government.
Accessing novel data sources such as app-based data, social media and other data created by new technologies provides opportunities for new and more granular analysis for decision makers.
With the cost of reaching seldom heard populations increasing, supplementing survey data with AI and new data sources ensures public policy is focused on the areas of most need and reaching disparate populations.
New analysis is possible through use of Natural Language Processing and other applications of Machine Learning. More transparency is possible through the use of differential privacy techniques to share data and findings. And, using Large Language Models to process responses drastically increases the speed and scale of research – if used safely and responsibly. The Smart Matrix Analyser developed by Verian and Faculty is an example of the possibilities AI represents.
This event will bring together leaders from various professions and roles within the government and public bodies to discuss shared challenges, review prior case studies, and explore practical implementations of data and AI-enabled approaches to both qualitative and quantitative research.