Opportunity Details

Wildfire Prevention Data Scientist CrowdDoing Volunteer
-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). CrowdDoing.world'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
In the framework of Prevention Derivatives, we want to create a predictive machine learning (ML) model that for a given geographical region will estimate likely savings (losses) due-to protection (damages) of stakeholders’ properties, business profits, common health, and regional ecology resulting in applying risk prevention solutions (or doing nothing instead). Goal of these notes is to analyze ML model’s design, offer a potential improvement and to discuss existing approaches for data collection, and training and testing the model. It is important to notice that the model is applied to the entire selected or target region. Therefore, a geographical region R is the smallest unit we apply modeling to.

Tools - R, Python, MATLAB, SQL, PowerPoint
Knowledge or Interest in anyone or more:
Programming for Data Science
Mathematics
Statistics
Predictive Analytics
Prescriptive Analytics
Machine Learning - Supervised/Unsupervised learning
Artificial Intelligence
Data Mining
Computer Science
Monte Carlo Simulations
Expectations:
Identify papers on Simulation of Wildfires, Catastrophe Modeling
Review and present Technical papers in a way that everyone can understand
Assist in Model development and testing by contributing in finding data and programming
Identify/Collect data relevant to wildfire Impact
Work cross-functionally
Traits:
Mathematically inclined, highly analytical, creative problem solver, can conduct analyses independently or with minimal supervision.



Data science will be utilized in the following ways:
Explore/Visualize data currently available on Wildfires
Identify trends and patterns in Historical data
Quantify historical losses in dollars based on property destruction, casualties, acres burnt, etc.
Build predictive models to identify areas of high wildfire risk based on factors such as weather, vegetation, topography, etc.
Visualization of Model outcomes
Scenario building (changing input variables and observing impact on outcome)
Tools - R, Python, MATLAB, SQL, PowerPoint
Knowledge or Interest in anyone or more:
Identify papers on Simulation of Wildfires, Catastrophe Modeling
Review and present Technical papers in a way that everyone can understand
Assist in Model development and testing by contributing in finding data and programming
Identify/Collect data relevant to wildfire Impact
Work cross-functionally
Traits:
Mathematically inclined, highly analytical, creative problem solver, can conduct analyses independently or with minimal supervision
Programming for Data Science
Mathematics
Statistics
Predictive Analytics
Prescriptive Analytics
Machine Learning - Supervised/Unsupervised learning
Artificial Intelligence
Data Mining
Computer Science
Monte Carlo Simulations
Expectations:

If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to volunteerorientation@crowddoing.world

Opportunity Details

About Us: -

Crowddoing.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. 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. We would love for you to join the team!

 

Project Outline: -

Wildfire Prevention Derivatives is a framework/approach to align stakeholder (e.g., homeowners, landowners, utilities, local authorities, insurance and reinsurance companies, and others) interests and incentives in a way that leads to investment in Nature-based preventive solutions such as targeted grazing (by goats, sheep, etc.) as well as advanced technological solutions (e.g., IoT) in areas predicted by data driven models as highly vulnerable to wildfires.Prevention Derivative aims to mitigate preventable risks arising from wildfires instead of transferring them.

See more detailed background on CrowdDoing's Wildfire prevention derivatives
https://drive.google.com/file/d/1dBp_HUr-tCCNaeGoSDfPrirRPbaoV3X4/view?usp=sharing
 

Role Description: -

We are looking for a qualified Environmental Restoration Planner who will Collaborate with field and biology staff to oversee the implementation of restoration projects and to develop new products. Will process and synthesize complex scientific data into practical strategies for restoration, monitoring or management. They may work on teams with geoscientists and hydrologists to manage the cleanup of contaminated soils and ground water.

 

Key Responsibilities: -

Collect and analyze data to determine environmental conditions and restoration needs.
Develop and communicate recommendations for landowners to maintain or restore environmental conditions.
Plan environmental restoration projects, using biological databases, environmental strategies, and planning software.
Communicate findings of environmental studies or proposals for environmental remediation to other restoration professionals.
Conduct site assessments to certify a habitat or to ascertain environmental damage or restoration needs.
 

Skills and Competencies: -

Team player showing willingness to work on and with a variety of projects, disciplines, and people
Excellent written and verbal communication skills, along with the ability to develop technical sections and coordinate and manage preparation for environmental assessments, management plans, and other environmental studies and documents is required
Strong background in terrestrial ecology to perform biological resource evaluations, develop habitat restoration, and management programs is required
Strong computer user skills using the Microsoft Office Suite is required
Conduct monitoring for construction/restoration projects
 

Qualifications and Experience: -

Bachelor's degree in Biology, Zoology, Botany, Ecology, Natural Resource Management, or other related field is required
Experience with restoration or biological services-oriented work including involvement and proficiency with regulatory compliance and permitting pursuant to ESA, CWA and CEQA/NEPA, for a variety of development, restoration, and mitigation projects

If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to volunteerorientation@crowddoing.world

Opportunity Details

Work on our organization's Digital Presence, which includes managing our social media, website, creating & emailing newsletters and appeals, and responding to those who contact us. The person may need to put in about 10-14 hours each week.
VSPCA being an animal protection organization, the web specialist would best suit the role if she/he also cares about the environment & animals, and likes to write professionally/from the heart about Nature and animals under guidance.

Available Shifts

Shift Name	Signup Max	Start	End
General	1	n/a	n/a

Opportunity Details

The purpose of this position is to design, create and update the foundation website.
Our website is important to show and promote the work we do; how are we impacting with our projects, partnerships, alliances etc. To provide scientific and educational information regarding marine ecosystems, marine species and their protection to the general public and fellow scientists. To encourage people join our cause and making a difference.

Opportunity Details

Wildfire Prevention Financial Product Design Development & Architecture Analysis


Knowledge or Interest in any one or more:

Economics

Insurance

Cost - Benefit Analysis

Technical research

Environmental research

Market research

Business research

Insight generation

Expectations:

Identify/Collect data/papers/literature relevant to wildfire Impact

Quantify costs incurred by different stakeholders as a result of Wildfire

Generate Insights from currently available research papers

Present your work

Work cross-functionally

Traits:
Wildfire Prevention Financial Product Design Development & Architecture Analysis-
High curiosity, creative, critical thinking, can conduct analyses independently or with minimal supervision.

Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.

Provide application or analytical support to wildfire prevention and insurance researchers or traders on issues such as valuations or data.

Research or develop analytical tools to address issues such as wildfire prevention portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.

Maintain or modify all financial analytic models in use.

Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, risk management, or financial market regulation.

Devise or apply independent models or tools to help verify results of analytical systems.

Define or recommend model specifications or data collection methods.

Confer with other financial engineers or analysts on financial product structure in light of market dynamics, informed by the development of quantitative techniques.

Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded wildfire prevention markets.

Consult team members to determine the need for new or improved analytical applications.

Collect, synthesize, analyze, manage, and report environmental data, such as pollution emission measurements, atmospheric monitoring measurements, meteorological or mineralogical information, or soil or water samples.

Communicate scientific or technical information to the public, organizations, or internal audiences through oral briefings, written documents, workshops, conferences, training sessions, or public hearings.

Provide advice on proper standards and regulations or the development of policies, strategies, or codes of practice for environmental management.

Prepare charts or graphs from data samples, providing summary information on the environmental relevance of the data.

Analyze data to determine validity, quality, and scientific significance and to interpret correlations between human activities and environmental effects.

Determine data collection methods to be employed in research projects or surveys.

Process and review environmental permits, licenses, or related materials.

Plan or develop research models, using knowledge of mathematical and statistical concepts.

Conduct applied research on environmental topics in wildfire prevention

Research sources of wildfire air pollution to determine their effects on the environment and to develop theories or methods of wildfire pollution prevention

If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to volunteerorientation@crowddoing.world

Opportunity Details

Wildfire Prevention Financial Project Management
Tools - PowerPoint, Word, Excel, MS Planner
Knowledge, Interest, or Experience in any one or more:
Project Management
Program Management
People/ Team Management
Process Improvement
Expectations:
Analyze current business processes and come up with solutions by conducting root cause analysis
Create plans for implementation by defining tasks (creating work breakdown structure) and assigning to team members
Lead Teams in Marketing, HR, and other functions and drive them to completion of tasks, activities and projects
Lead/Organize Meetings and create minutes of meetings (Notes on discussion)
Work cross-functionally with other Project Managers
Present thoughts
Traits:
Driven, Impact-Oriented, Collaborative, problem-solving, able to navigate ambiguous work environment

-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). CrowdDoing.world'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

If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to volunteerorientation@crowddoing.world

Opportunity Details

Virtual Volunteer Financial Analyst Volunteer, Wildfire Prevention Derivatives, CrowdDoing.world

In Peter Diamandis November 12th 2020 trends of the next decade, was: ""The insurance industry transforms from ""recovery after risk"" to ""prevention of risk:"" Our thesis ""prevention derivatives"" thesis is that anchor stakeholders at risk could demonstrably identify their self-interest in wildfire prevention of air-pollution. CrowdDoing.world is working to accelerate that transformation via ""prevention derivatives"". CrowdDoing.world co-hosts the Prevention Derivatives Initiative. The Prevention Derivatives Initiative is starting with wildfire prevention in North America, South America and Australia in our pilot phase of development. Prevention Derivatives represents a strategy to address the global cooperation gap in risk prevention?
Stakeholders share liabilities. Catastrophes cause harm to insurers, reinsurers, Insurance-linked-security holders, corporations, individuals, and whole regions. If we can prevent these risks with social innovation cost effectively that is a collective opportunity. 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). CrowdDoing.world'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. CrowdDoing.world recruits multi-disciplinary volunteers from a variety of backgrounds in order to support our research and development of systems change relevant social innovations.

Please help us in our Prevention Derivatives research through applying here to join us and collaborate as a virtual volunteer for systems change at CrowdDoing for Prevention Derivatives and/or our other initiatives.
You can see a 35 minute video (This has been assembled as a montage of clips of how we've presented the concept externally at conference sessions and in internal interviews.) on prevention derivatives here:
https://www.youtube.com/watch?v=btdpHKlZj2c&feature=youtu.be.

Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
Provide application or analytical support to researchers or traders on issues such as valuations or data.
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
Maintain or modify all financial analytic models in use.
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
Research new financial products or analytics to determine their usefulness.
Devise or apply independent models or tools to help verify results of analytical systems.
Define or recommend model specifications or data collection methods.
Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.
Interpret results of financial analysis procedures.
Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.
Produce written summary reports of financial research results.
Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.
Identify, track, or maintain metrics for trading system operations.
Prepare requirements documentation for use by software developers.
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.

If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to volunteerorientation@crowddoing.world

Opportunity Details

Risk Prevention Data Scientist Virtual Volunteer Wildfire Prevention Derivatives, CrowdDoing,

You can see a 35 minute video on prevention derivatives here:
https://www.youtube.com/watch?v=btdpHKlZj2c&feature=youtu.be

Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing, Duties and Responsibilities
Implementing processes that improve and lead to greater data quality
Conducting statistical analyses to develop strategies
Documenting all processes and research
Building new algorithms and model training
Executing projects involving analytics
Identifying data patterns and trends
Analyzing data to develop predictive models
Creating, managing, and maintaining analytically rigorous data
Noting anomaly detection and running diagnostics
Performing graphical model analysis
Possessing a solid machine learning foundation
Participating in software-focused marketing efforts
Risk Prevention Data Scientist Volunteer Forest Fire Prevention Derivatives, CrowdDoing, Requirements and Qualifications
Expert in statistical modeling/data mining
Experienced with SQL Server
Experienced in data analysis, predictive modeling, and data mining techniques
Able to analyze problems and strategize for better solutions
Excellent verbal and written communication skills
Able to multitask, prioritize, and manage time effectively
Comfortable in both a leadership and team-player role
Creative problem solver who thrives when presented with a challenge
Goal-oriented, organized team player
Encouraging to team and staff; able to mentor and lead
Bachelor’s degree in computer science, engineering, mathematics or related field; Master’s degree in computer science, mathematics or related field preferred
Four years of relevant industry experience
Strong familiarity and hands-on experience with SQL and statistical software packages (Python, R, SAS)
Knowledge of tools and techniques in machine learning
Expert in relational database design and concepts
Expert in one or more programming languages (C/C++, Python, Perl, Java)
Experience in genetic algorithms, logistic and linear regression, PCA, decision tree analysis and statistical methods
Up-to-date on latest industry trends; able to articulate trends and potential clearly and confidently
Good interpersonal skills and communication with all levels of management
Able to work in a fast-paced environment
 

The only way CrowdDoing.world can realize its impact potential is through virtual volunteers,service learners(http://blog.reframeit.com/service-learning-and-skilled-volunteering/), and micro-leaders (https://real-leaders.com/leveraging-micro-leadership-to-make-aspirational-goals-achievable/) coming together.

If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to volunteerorientation@crowddoing.world

Opportunity Details

a new program designed to assist communities in growing produce to feed those in need and by selling surplus, generate funds to plough back into more seedlings
Please find the signup link: https://volunteersignup.org/YCTJD

Available Shifts

Shift Name	Signup Max	Start	End
Monday 9am - 11am Shift	5	n/a	n/a
Tuesday 9am - 11am Shift	5	n/a	n/a
Wednesday 9am - 11am Shift	5	n/a	n/a
Thursday 9am - 11am Shift	5	n/a	n/a
Friday 9am - 11am Shift	5	n/a	n/a
Saturday 9am - 11am Shift	5	n/a	n/a

Opportunity Details

This is a turn key volunteer opportunity - engaging and impactful presentation and facilitation notes are provided, delivery of unassembled lights and pick up of assembled lights are inclusive in the session cost.

What this about?
Imagine night falls and you are plunged into darkness. This is daily reality for the 1 in 10 people globally who live in extreme energy poverty, that is, they don't have access to clean, safe, reliable electricity.

For children it means they're unable to study after sunset which devastatingly limits their education. Toxic energy sources like charcoal, firewood & kerosene affect health and safety, are expensive and pollute the environment.

You can fix this! A SolarBuddy light is the solution and you can give this gift of light! Create a team of change makers who will assemble purpose designed solar lights and also write letters of encouragement to the children who will receive them.

You can even continue to donate the gift of light to children every month!