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Source: https://hoodmaps.com/pittsburgh-neighborhood-map

City digital twins as a talking point

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Pittsburgh. Nvidia’s first “AI Tech Community city”. A city full of entities that deploy artificial intelligence to solve hard challenges in the physical world. The second largest city in Pennsylvania where robotics, generative AI and simulation come together. A city that is still dry on venture funding.

Identifying Pittsburgh’s physical AI innovation hubs and their geographic distribution

AI Innovation Corridor takes shape along Penn Avenue, aka AI Avenue. Bakery Square. Hazelwood Green, a former steel mill site. Numerous hospitals, schools, government buildings and universities.

Is this a city digital twin of Pittsburgh’s AI sectors that can help model the Pennsylvania city’s growth potential? No. It is just a Google Map screenshot

A step to fully functional City Digital Twins: mapping research networks and academic-industry collaborations, innovation clusters and ecosystems

Listing innovation hubs and clusters within our cities, tracking the commercialization of research outputs on a regular basis are some of the early steps in the creation of (fully) functional city digital twins.

Earlier this week, 5,000 Cities took part in a webinar that provided the first look and user testing of Aretian’s City Digital Twin.

Is THIS ☝🏻☝🏼☝🏽☝🏾☝🏿 a city digital twin? Well it’s a screenshot of something that will at some stage become a Barcelona digital twin, yes

We spoke about this Barcelona-US startup in our earlier post. Like one of our business partners, a Mumbai and Bangalore startup ecosystem member summarizes it all: it’s still like a sci-fi movie.

To wrap it up for now, city digital twins — like the one currently developed by Aretian — are a great talking point in our business and innovation matchmaking activities. More time is needed to wrap our heads around the full scale potential of such modelling and startup ecosystem development tools. For location-focused startups, city digital twins are a helpful instrument to for starters track various neighborhood-level quality-of-life indicators — including for the physical urban communities that are inhabited by startup teams.