Innovation Lab
A working space for digital health, civic technology, financial planning, public health intelligence and applied AI projects shaped by evidence, user needs and African implementation realities.
Active projects
These projects are presented as evolving MVPs, not finished or approved operational systems.
Working MVP
Digital health and public health intelligence
HealthSignal explores how field screening, hospital care, referrals, insurance workflows and public health surveillance can operate within one accountable care network.
Early pilot MVPCivic technology and community infrastructure
A live pilot for reporting potholes, broken streetlights, drainage, waste and other public issues with photo evidence and a map location. Residents can support existing reports and follow progress, while provisioned organization teams can record action and resolution evidence.
Collaboration call: Local government practitioners, utilities, community organizations, NGOs, engineers and GIS specialists can help define response ownership, verification and a focused pilot. No institutional adoption is claimed.
Evolving MVP
Financial planning and budget intelligence
BudgetIQ began with a practical challenge: turn an annual action plan into an editable institutional budget. Bismark Adams's research on Ghanaian fiscal forecasting sharpened its approach to revised estimates, actual results and honest forecast testing. The evolving MVP connects activity costs, funding decisions, procurement review and financial evidence.
Collaboration call: Budget officers, accountants, procurement practitioners, researchers and data scientists can review the case study and help test costing rules, approval paths and forecast methods. Institutions with permission to share historical approved budgets, revisions and actual results can help design a careful evaluation. Privacy and data access must be agreed before any records are shared.
Educational demo
Machine learning and model governance
A full stack model explorer rebuilt from a Streamlit prototype. The new API maps all 19 saved model features, validates fictional scenarios and presents the historical not fully paid score with clear limitations. Seeking data, model risk, fairness and usability collaborators for reproducible evaluation.
Upgraded MVP
Malaria outreach and surveillance
An offline ready field platform for community outreach, coded household follow up, GPS supported hotspot monitoring, explainable community risk signals, malaria education and monthly reporting.
Safety, environment and responsible AI
A Ghana focused demonstration platform connecting structured safety reporting, environmental monitoring, corrective actions, explainable risk priorities and privacy aware spatial intelligence.
Testing MVP
Marketing technology
A guided workspace that turns local visibility, reviews, competitor observations and marketing audits into clearer priorities for small businesses.
Development pathway
Define the practical problem with the people affected by it.
Review workflows, evidence, risks and implementation constraints.
Build the smallest useful model of the proposed solution.
Invite technical, clinical, ethical and user feedback.
Evaluate usability, security and performance in a controlled setting.
Use evidence from testing to guide the next iteration.
Open challenges
The lab welcomes constructive review that can improve safety, usefulness and implementation readiness.
Validate fields, screening rules, referral pathways and reporting indicators.
Strengthen consent, access control, auditability and responsible data exchange.
Review architecture, standards, reliability and integration pathways.
Design realistic user testing, pilot measures and accessibility improvements.
Review the research-informed case study, test costing and procurement controls, and help define a permitted dataset of approved budgets, revisions and actual results for out-of-sample forecast checks.
Help define jurisdiction, issue verification, moderation and response ownership. Review report usability and evidence of resolution with residents and local service teams.
Recover the data and reproduce performance, calibration and subgroup checks before considering any operational use.
Collaborate
Clinicians, nurses, public health professionals, budget officers, accountants, procurement specialists, model risk reviewers, researchers, engineers, data scientists, privacy specialists and local government practitioners, utilities, community organizations, GIS specialists and implementation partners are welcome to propose a focused contribution.
Contributor acknowledgements will be added with permission and a clear description of each person’s role.
Responsible innovation
Projects in this lab are exploratory MVPs. They are not substitutes for professional judgement and should not be used as approved clinical or operational systems without appropriate validation, privacy and security assessment, usability testing, governance approval and controlled pilot evaluation.