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Visual Modeling Project

Visual Modeling Platform - Open to All Members

Stanford is developing a ground-breaking new visual modeling platform - making it possible to visualize and ask "What If" questions of an entire city. The platform accurately depicts the entire city infrastructure including buildings, roads, infrastructure and transportation. But in addition to this, it is possible to attach physical data to the model including earthquake, flooding, energy flow, financial transactions, commuting data, sensors information, demographics, and a wide range of other information. When this data is applied to the model, the model will display the impact of the data on the city environment and commercial markets.

For the first time, we also will be able to understand consumer behavior within a city. We expect to be able to create insights on how people behave, spend, and go about their daily activities within the city. We can also see how mobility technology is likely to impact commercial opportunities across all commercial markets.

The platform will also makes it possible to develop vertical applications crossing every major industry sector. Our goal is to take this platform and develop the ability to predictive future outcomes with a high degree of reliability. It will also be possible to develop vertical applications leveraging the platform to enable companies in specific industries to leverage the insights - commercial real estate decisions, ROI, disaster scenarios, autonomous vehicle impact, and climate change.

All members can participate in working with the platform. Our first application will be commercial real estate lead by Herman Donner. City Zenith is partnering with Stanford and our corporate affiliate members to provide platform tools.

• Powerful city-wide “what if” visual modeling of urban markets that can show impact of building projects, financial transactions, demographic trends, etc.
• Model allows for the attachment of real-time physics and data sets
• Powerful software applications can be built off the model platform
• Long-term vision to create an real-time time lapse of economic and social activity including physical events – floods and earthquakes
• Predictive analytics model to forecast impact with high reliability of outcome
• City Zenith is an open architecture company for visual modeling that has tools and API's immediately available
• Data sets provided by multiple partners for multiple city environments
• Stanford Team: Professor Ram Rajagopal, Lead; Dr. Rishee Jain, Professor Martin Fischer, Ph.D. Candidate Jiafan Yu; Marc Ramsay, and Herman Donner

Business Model Implications: a visual modeling platform is designed for commercial market development. We can add and evaluate real-time data for healthcare, financial transactions, services, transportation companies, autonomous vehicles, IoT sensors, and a vast array of demographic information as well. We expect our members will find their own application for the platform which could lead to new monetization models. Members will be able to license IP to develop their own applications.

Visual Platform can be developed for other cities
Visual Model: two-way "What If" analysis with data driving visuals and visuals generating impact data
Commercial Markets: First time we can look at an entire city and see commercial market opportunities
Supports IoT: possible to gather data from sensors and also decide how to program sensors effectively
Financial Impact of Decisions Before They are Made: what would happen if we modeled different scenarios on return on investment for commercial projects?
Predictive Analytics: next step is to predict outcome with a high degree of certainly versus looking only at static or real time data
Data Sets: from public and private sources

2018-2019: Expansion of the project with goal of building out first application off the platform in commercial real estate.