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Urban AI and startup ecosystem analysis

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Big data meets interdisciplinarity, urban infrastructure

brute force: Computational biology plays Baseball

A professor of genomics, genetics and development at University of California, Berkeley, Michael Bruce Eisen  a fan of baseball  points out that “sequencing DNA is similar to scoring a baseball game”. More than one computational biologist in the United States learned to think about science computations from an gripping interest in baseball stats. 

Comparing a specific player’s stats to a database of other similar players equips a baseball fan to predict future performance. A similar system works with predicting functions and proteins.

When it comes to urban environments, a city is like a book. Artificial Intelligence can help read it better. Predicting city development and writing it better as well gets easier — think “grant writing”, for example.

In a recent demo that involved 50,000 lines of vehicle collisions in New York City, 10,000 of them with pedestrians. 

When CB Insights was just beginning, their first 50,000 financing and M&A transactions were done by hand in a spreadsheet.

CB Insights is now a 400-strong, $100M-revenue company that uses a combination of algorithms and big data tools (in addition to sentiment analysis on publicly available signals) to collect and analyze data about angel investors, high growth private companies and industries like healthtech. 

Founded in 2008, the data and trend analytics company didn’t wait to find an engineer who could automate the crunching of their initial spreadsheet data. Those 50,000 rows served as foundational training data for the ML algorithms the New York City-based CB Insights later built to automate their data extraction work.

We at 5,000 Cities are also working on consolidating our big data sheet and will keep you informed about the value of such work specifically for you, in our future blog posts here. 

As part of 5,000 Cities’ trend and sentiment analysis of urban AI and innovation ecosystems in the United States B2G segment of the market, our founder Andy Kozlov this week participated in a Deploying AI in Grants Processes webinar. Among almost 200 other participants, there were in attendance: David Burns, Assistant Executive Director United States Conference of Mayors; Melanie Ford, Sustainable Columbus Grants Coordinator, Columbus, Ohio; Merry Gebretsadik, Denver, Colorado, Governor’s Office.

Which urban AI applications does Your company, city or state currently try to figure out? We’d like to hear from you!

From a 2024 CB Insights newsletter
Andy Kozlov, 5,000 Cities Founder, was one of 180+ participants of a recent Deploying AI in Grants Processes webinar. Among other participants there were Nicole Bomer, Director of Grant Services for Nevada GrantLab in Las Vegas, Nevada, Sandra Bay, Laramie County Grants Manager (City of Cheyenne, Wyoming) and Betsy Cox of Grant Development Center in Austin, Texas.
A screenshot showcasing the use of ChatGPT to extract relevant data from a New York City spreadsheet containing 50,000 lines of motor vehicle collisions, including 10,000 accidents involving pedestrians. The purpose of this demo by Anthony Townsend at a recently completed webinar was to show some AI-powered ways to extract insights from big datasets and use those for infrastructure-related grant writing.