Invest Through Behaviour
Project Overview
About
Social housing investment decisions often rely on historical deprivation measures and property data that do not fully reflect how neighbourhoods function today. Invest Through Behaviour analyses every neighbourhood area in Greater London using measures of housing demand, financial viability, social need, movement, connectivity and public-space use. Its AI models generate investment portfolios for different budgets and priorities, making the trade-offs between financial return and social impact visible. An interactive map allows scenarios to be compared, supporting more transparent, evidence-based investment in communities where funding could have the greatest impact.
Team
Eleni Papakosta
I am an architect working at the intersection of cities, data, and investment. I hold a degree in Architectural Engineering and, after practising as an architect, completed a Master's in AI for Architecture & the Built Environment at IAAC Barcelona, paired with business development training at EADA Business School. At IAAC I built Invest Through Behaviour, a decision-support tool that shows where housing investment can create the greatest social impact alongside financial return.