Data Visualization / Business Intelligence Analyst Volunteer Wildfire Prevention

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Recruiting Organization: M4A FOUNDATION - CROWDDOING

Data Visualization / Business Intelligence Analyst Volunteer Wildfire Prevention

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.

Size of developed area, size of a grassland, length of the common border between the developed area and the grassland, grass type.

Fire history in the region: fire occurrences in the past, dates of occurrences, duration, intensity of fires.

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.

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.

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.

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


Identify/Collect data relevant to wildfire Impact

Generate Insights from currently available data

Present your work

Work cross-functionally


Visually inclined, analytical, creative, curious, can conduct analyses independently or with minimal supervision.

If you have any questions about processes for joining as a volunteer to support our efforts in systemic change please write to

Stipend ProvidedFalse

Training ProvidedFalse

Housing AvailableFalse

Language/Cultral Support AvailableFalse

Wheelchair AccessibleFalse

Fee RequiredFalse

Fee Amount: None

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389 5th Ave, 9th Floor, New York, NY 11109, US

Mission Statement

To bridge the gap between intention and action in order to bring about social impact.


Idealist is a leading online global resource for finding jobs in the nonprofit sector, as well as volunteer opportunities and graduate school programs for social impact.

Children & Youth
Disaster Relief
Education & Literacy


We'll work with your schedule.


3325 Besana DriveEl Dorado Hills, CA 95762







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