Climate Data Hackathon - SF (National Day of Civic Hacking)
Details
http://photos1.meetupstatic.com/photos/event/d/8/d/f/600_438115519.jpeg
Click here to sign-up (https://www.eventbrite.com/e/national-day-of-civic-hacking-sf-2015-tickets-16547714660?ref=estw) to buy your tickets - select that you are a CLIMATE DATA HACKER!
Want to be a CLIMATE DATA hacker ?
IF YOU.CLASS() IN:
• Developer/ coder
• Designer/ infographic guru
• Data scientist, geologist, meteorologist
• Google, Bing, Mapquest, OpenStreetMaps - Maps API guru
THEN:
Two easy steps!
http://photos2.meetupstatic.com/photos/event/7/8/0/6/600_438270726.jpeg
-
Go to Eventbrite (https://www.eventbrite.com/e/national-day-of-civic-hacking-sf-2015-tickets-16547714660?ref=estw) - select "Climate Data Hacker" when purchasing your ticket. Only 60 Climate Data Hackers for this inaugural event! (just $10 per person for food, drink, fun the entire weekend - helps us know you are committed to show!)
-
Before the start of the event, use ChallengePost website (http://cdhacks.challengepost.com/) to sign up your team!
ENDIF
Let's mitigate climate change effects - one hack at a time!
PROBLEMS YOU CAN HELP SOLVE ...
Here is an excerpt (http://hackforchange.org/challenges/climatechange/)from our partners at NASA and NOAA:
Areas of interest that may be particularly relevant to local cities could include:
• Storm surge/coastal flooding: Develop solutions to predict, protect and restore coastlines, natural spaces and animal habitats due to flooding
• Drought prediction and management: Use of data around trees dying in local cities, geological data, precipitation/reservoir data and water data from
• PWECO2 emission reduction: Help cities be able to measure C02 emission reduction consistently to allow for an apples to apples comparison across cities. Visualize how much less CO2 emission has resulted from changing fleet of city owned cars
• Extreme weather: Respond to flooding, tropical storms, wildfires and extreme sudden weather events
• Efficiency: Build technology to help citizens and organizations better understand smart meter data. Map deforestation in correlation with pollution dataMap of land erosion versus water levelsFuel leak data vs. death of vegetation in the area
• Farming subsidy vs. CO2 from cattle vs. death of vegetation
• Trending of 100 year flood plains to see if it has gotten better worse and re classify the flood plains if necessary
• The effect of increase construction on water pollution
• Electricity usage year over year versus building footprint of city
• Increase use of port vs. ocean acidification: Pesticide runoff vs. algae blooms.
Click here for info and specifics of the larger NDoCH Event: (http://codeforsanfrancisco.org/hackforchange/project-guidelines/)
http://photos3.meetupstatic.com/photos/event/9/3/a/c/600_438217804.jpeg
