BDPNN - Berkeley Disaster Preparedness Neighborhood Network

Formed in 2009, BDPNN aims to support Berkeley neighborhoods and individuals who live or work in Berkeley to respond to large-scale emergencies. They do this through coalition building, bringing in outside expertise, and sharing experiences. Visite the company website for more information.

Quote from our client:

"The team was energetic, committed, and reliably delivered on the project in partnership with Berkeley Disaster Preparedness Neighborhood Network (BDPNN). The results provided by the team were exceptional, offering BDPNN an expansive data library, with a multitude of possibilities to utilize for our future projects. We wholeheartedly recommend their dedicated and professional work."

-- David Peattie, BDPNN, Board President

-- Michelle Williams, BDPNN Board Vice President

Goal

Determine which disaster zones that DON’T have organization but have higher risk for natural disasters and provide recommendations to help increase disaster preparedness.

• Github file location: BDPNN Client Final Deliverable.pptx

Project Walkthrough

Deliverable #1: Merge mailing list and network member database

• Data: generated from tabling events (mailchimp and io group)
• Survey: collected from network members to better gather demographic information
• Github file location: survey analysis and demographic analysis
  • Note that data is not uploaded for security reason

Deliverable #2: Explore neighborhood groups without organization

• Explore disaster neighborhood groups overlayed with
  • Someone has a storage unit, or garage unit full of stuff (neighborhoods where they have a lot of organization)
  • Would be willing to set up a neighborhood group they don’t know how to start
• Merge neighborhood organization data over other databases
• Github file location: demographic analysis
  • Note that data is not uploaded for security reason

Deliverable #3: Disaster Analysis

• Mudslides, floods, wildfires, tsunami zones
• Examples
  • Fire in hills, and mudslides when rains
  • Volcanic eruption in Tonga sent shockwaves
• Github file location: disaster analysis
  • Due to memory limitations, not all files are uploaded.

Deliverable #4: Prediction Analysis

• Look at public/historical natural disasters in the region and develop a predictive measure for the risk of that region → look at member data
• Figure out locations where you want to target based on regions that are more prone to disaster and have fewer resources from BDPNN
• Github file location: heuristic calculation
  • Note that data is not uploaded for security reason