What Are Synthetic Populations?
People are one of the most significant factors to consider when assessing future challenges, risks, and investments, and they are also the most complex.
Creating a Living Lab with Synthetic People
People are unique, unpredictable, and challenging to recreate with traditional modelling techniques. Finding new ways to bring together diverse sources of aggregate knowledge about people and explore life as a success factor of the next futures we are building is critical.
RWI’s Synthetic Environments feature never-identified, geo-tagged synthetic people, each with a set of attributes reflecting their lives, their demographics, health and habits, psychographics, patterns of life, circumstances, activities, responses, preferences and values — all generated from publicly available data.
We can overcome the limitations of data collections due to bias or oversight in collection to help the invisible and marginalized be seen and included in areas where populations are described as “temporary.” Our Synthetic Populations add the data decision-makers are looking for to assess impact and outcomes. Just ask them!
How Are Synthetic Populations Made?
Generating a Synthetic Population is a multi-layered process involving a significant number of converged data points. The creation of a Synthetic Population begins with research, which utilizes census data, additional open-source data, and a variety of other published research, community, and non-traditional data sources.
Synthetic Populations need to live somewhere; Synthetic Residences are the perfect place. Our technology generates high-fidelity digital twin models of housing today and sandboxable housing twins of any tomorrow.
We create Synthetic Populations without relying on privacy-protected information or historical data that is missing, irrelevant or inaccurate.
Representative, never-identified Synthetic Populations demonstrate intersectional impacts and protect privacy. We focus on positive impacts for people and planet, ensuring no one is left behind.
How Do We Use Synthetic Populations?
Our innovative Synthetic Notation Language and 6D platforms enable us to create entities capable of emergent behaviour. These complex outcomes arise from the simulated interaction of the different components that comprise a Synthetic Population. We can use Synthetic Populations to visualize, scenario-build, and model all aspects of mobility, social, health, energy use, policy impact, technology adoption rates and more.
Synthetic Populations and their emergent behavior allow an unprecedented ability to visualize, query, and forecast cause and effect. Decision-makers around the world utilize RWI’s Synthetic Populations and Synthetic Twin technologies to plan emergency egress routes in the face of natural disasters, forecast the future of household electrification, assist the strategic planning of social infrastructure, and enhance and quantify youth's sense of belonging.
