Data Visualization / Business Intelligence Analyst Volunteer Wildfire Prevention

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ORGANIZATION: M4A Foundation - CrowdDoing


  • Data Visualization / Business Intelligence Analyst Volunteer Wildfire Prevention

  1. General geographic and demographic characteristics: total area, perimeter, climate zone, seasonal weather conditions (temperature, humidity, atmospheric pressure, number of sunny days, wind conditions, etc.), topography descriptors, regional population statistics, crime rate, etc.
  2. Size of developed area, size of a grassland, length of the common border between the developed area and the grassland, grass type.
  3. Fire history in the region: fire occurrences in the past, dates of occurrences, duration, intensity of fires.
  4. Fire susceptible region (for example, live or dead forest) that is connected to the region of interest is the threat to the region. Its fire characteristics are particularly important ones. Among them are size, perimeter and factors that affect spread of fire such as fuel type (trees, debris, etc.) and terrain features.
  5. Exposure variables include number of properties in a region, residential households and businesses, values’ statistics (minimum, maximum, mean and median costs), income statistics for businesses and residents, other financial information that affects loss evaluation.
  6. Insurance variables: how many properties are insured, premium policy statistics (minimum, maximum, average, and medium prices), insurance values statistics, major insurers in a region, etc.
  7. History of losses due-to wildfires. These records describe quantities which can be associated with our model’s outcomes.

  • -Prevention derivatives is driven by the thesis that there is an under-valuation of passive risk (or the cost of inaction) and an under-prioritization of positive risk. Correspondingly for wildfires as an example, there is an under-recognition of the potential shared value upside of preventative action through social innovation and social interventions (such as goats & sheep that prevent wildfires).'s aim is to guarantee positive risk through leveraging existing liabilities to allow for the implications of prescriptive analytics to be financed. The under-pricing of passive risk means that liabilities are treated as either costs of doing business or un-predictable risks even for entirely preventable risks. Risk management offices have been too biased towards avoiding taking the wrong risks rather than ensuring that institutions make their own luck by seizing the abundant positive risk opportunities in social innovation. Meanwhile, the bias against positive risk leaves social innovations not to get adopted even if there would be remarkable benefits to all stakeholders if they were adopted
  • Tools - Tableau, Power BI, Excel BI, R, Python, PowerPoint
  • Knowledge or Interest in any one or more:
    • Dashboard Development
    • Descriptive Analytics
    • Charting / Graphing
    • Exploratory Analysis
    • GIS Data visualization (Mapping)
    • Insight generation
    • Expectations:
      • Identify/Collect data relevant to wildfire Impact
      • Generate Insights from currently available data
      • Present your work
      • Work cross-functionally
      • Traits:
        • Visually inclined, analytical, creative, curious, can conduct analyses independently or with minimal supervision.

If you have any questions about processes for joining crowddoing as a volunteer please write to

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About M4A Foundation - CrowdDoing


3325 Besana Drive, El Dorado Hills, CA 95762, US

Mission Statement

CrowdDoing [dot] world is a joint initiative of Match4Action Foundation and Reframe It. CrowdDoing is focused on addressing the social, economic, and environmental challenges our world faces by collaborating with professionals and volunteers from many different industries. We offer a platform for individuals to connect and collaborate toward creating systemic change. We would love for you to join the team! What makes us different? CrowdDoing aims to support social innovations with transformative impact potential through global multi-disciplinary volunteering, micro-leadership and service learning. We work through operating leverage for systems change to achieve collective agency. We orient to ikigai and self-determination theory in order to help each person have the perfect role. #systemschange #systemsthinking #servicelearning #socialinnovation


Match4Action connects those wanting to volunteer their skills with those in need for remote or local project support, advice, collaboration and mentoring.

Our smart technology platform uses the latest machine learning, artificial intelligence and virtual assistants to match the demand for resources for social impact with the skills and resources available, anywhere in the world. We use blockchain to create and manage a social impact currency.This unique, self sustainable open platform has one key purpose: accelerating social impact through collaboration and linking local projects with our global presence.

CrowdDoing aims to leverage micro-leadership, service learning and massively multi-disciplinary collaboration supported with project managers and human resource business partners. Collaborate with people whom you can learn from while changing the world virtually together.


Health & Medicine
Community, Environment, Health & Medicine


Thu Feb 29, 2024 - Wed May 29, 2024


This is a Virtual Opportunity with no fixed address.


  • Cost Analysis
  • Market Research / Analysis
  • Mathematics
  • Research
  • Healthcare
  • CSR / Volunteer Coordination


  • People 55+
  • Group


  • Must be at least 17
  • Orientation or Training
  • 4-10 hours per week or 20-40 hours per month
  • Forest Fire Prevention Derivatives, CrowdDoing, Volunteer Financial Analyst

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