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IdeaBank
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************************************************************************************************************************************
Put your ideas under your name (Minimum of 2, Maximum of 5)
(Please Maintain Format Below)
************************************************************************************************************************************
Scott
Idea#1
Topic: Correlate static data accumulated by the EPA pertaining to NYC to identify areas with the highets level of pollution
Then. use that data do identify commonalities between those areas (i.e. processes for handling/releasing waste, street
structures, etc.) that may be causing these extreme levels of waste. Using the GPS locations of the highest offenders and
public repositories of addresses, we will cross reference this data to find a pattern.
Sources of Data: EPA EIS, Google Maps API.
Idea#2
Topic: Correlate cancer data from https://seer.cancer.gov/data/ with pollution data from EIS to target regions with the highest
levels of cacner diagnosises. THen use identify of those regions have commonalities in obscure pollution types, that other
regions with lower cacner diagnosises do not have. Then work with EPA to identify studies among those common pollutants
to determine if those pollutants have links to cancer. Could also take this a step further and link GPS locations to see
if there are common industries within the vicinity of these areas.
Sources of Data: https://seer.cancer.gov/data/, EIS
************************************************************************************************************************************
Lakshay
Idea#1
Topic: Airbnb cities visualization
Use InsideAirbnb's booking availability data for various cities in the US to create a visualization depicting variation in bookings with variables such as month of the year, weather, specific events, etc.
Sources of data: http://insideairbnb.com/get-the-data.html
************************************************************************************************************************************
Shin
Idea #1
Topic: Studiying the successful and failed crowdfunding projects to determine the characteristics of success and failure
and predict the outcome of a project in launch phase
Source of data: https://webrobots.io/kickstarter-datasets/
Idea#2
Topic: Mapping of clean air cycling path
Use EPA data and google maps real time data to map the density of the pollution and the traffic of cylcing path
to guide cyclist in a cleaner, faster path
EPA, Google Maps API.
Idea#3
Topic: Determine domestic abuse by monitoring text messages
Monitor text messages, study them to look for words pertaining to domestic abuse.
// just realized that text messages are not public dataset.