Mapping Analytics for the Public Sector
Introducing MAPS—Mapping Analytics for Public Services—a transformative suite of solutions tailored for the multifaceted challenges confronting public sector organisations.
Anchored in Fuzzy Cognitive Mapping (FCM) and utilizing AI algorithms such as Random Forest, Support Vector Machines, and Neural Networks, MAPS blends machine learning-driven data analytics with data mining techniques to offer unparalleled insight into the complex interplay of variables affecting systemic issues. Our focus extends beyond criminal justice to span social care, healthcare, and urban planning sectors.
In an interdisciplinary process that marries deep academic knowledge with stakeholder insights, we engage in participatory workshops with everyone from community members to field experts. The resulting human-intuitive FCM models are analyzed using our advanced suite of machine learning algorithms, allowing for precise predictive 'what-if' scenario testing. This methodology is then further enriched with data mining techniques to unearth hidden patterns and correlations, thereby generating impactful, evidence-based policy recommendations.
Innovation
The innovation of MAPS lies in its balanced focus on data-driven decision-making and community engagement. By harmonizing computational analytics with stakeholder input, we ensure not only actionable but also socially endorsed solutions. This enhances stakeholder buy-in, a crucial factor often neglected in traditional approaches. Our integrative framework thereby magnifies the efficacy and longevity of our interventions, offering public sector organisations a nuanced roadmap for tackling the convoluted challenges of contemporary governance. With MAPS, we deliver solutions that are grounded in both empirical evidence and the human experience, creating an avenue for lasting change.