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Apply to "Hack the Bay Area Commute" Hackathon


  • ProspectSV Demo Center 1608 Las Plumas Ave, San Jose California US (map)

EIT Digital is looking for solutions towards green transportation in San Francisco Bay Area to participate in Hack the Bay Area Commute Hackathon in California (US) on 14-16 December 2018.

There are travel grants available for participants.

> Read the full call text and apply on Ultrahack website by 3 Dec 2018

Challenge

Traffic in the Bay Area is congested and the trend is not looking good. Congestion will not only cause increased annoyance and stress, but also longer travel times, increased greenhouse gas emissions and productivity losses. The city of Palo Alto has found that the main cause for greenhouse gasses and congestion in the city are single occupancy vehicles entering the city. San Francisco has seen congestion strongly increased with the rise of ride sharing.

With the growing number of alternative transportation means (like bike, ride and scooter sharing) consumer’s options to move from A to B within bay area have rapidly increased as well. Consumer choices will determine how these options will be utilized and determine how the problems will be resolved. Consumers base their transportation choices upon personal priorities, long term objectives and policies. But do policy makers and consumers fully understand the tradeoffs and implications of their choices, keeping factors like greenhouse gas emissions, congestion, travel time and price in mind?

We challenge you to leverage Digital Technology to help improve congestion and thereby reduce greenhouse gasses, by creating scalable and sustainable solutions!

Travel grants

  • Teams within Bay Area - up to $200 per team (of min. two people)

  • Rest of United States and Canada - up to $400 per team (of min. two people)

  • Latin America - up to $500 per team (of min. two people)

  • Rest of the World - up to $800 per team (of min. two people)

Hackathon venue

Venue: ProspectSV Demo Center, 1608 Las Plumas Ave, San Jose, CA 95133 , US