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ES Review Board

Earth Science Review Board Expert Application

Use Your Earth Science Expertise to Support Humanitarian Action

The Lifelines Earth Science Review Board is looking for passionate experts—including emerging professionals—to join our growing community of scientists, technologists, and humanitarian practitioners. This is your chance to directly apply your Earth science skills to make a humanitarian impact.

Estimated Completion Time: Approximately 10-15 minutes

We’ve designed this form to be straightforward and respectful of your time, anticipating that it will take around 10-15 minutes to complete. Please have your CV, LinkedIn profile, or any relevant publications ready to upload, as they will provide us with a deeper understanding of your background and expertise, and allow us to match your skills with the appropriate case(s)

Upon selection into a specific review board, you will be expected to contribute 4-5 total hours in a ~30-day period to support the review and feedback. You will be able to opt out if unavailable, and please reference the Toolkit for additional information.
Who Can Apply?
We welcome experts from a range of backgrounds, career stages, and geographies. Whether you are a graduate student, early-career scientist, or seasoned professional, if you have relevant technical skills and a commitment to humanitarian service, we want to hear from you.
Name(Required)
Three-letter abbreviation
How often would you like to be involved in case reviews?(Required)

Languages Spoken(Required)

Specific Degrees Obtained(Required)

Years of relevant experience involving satellite data and tools:(Required)
Have you used satellite data and tools for humanitarian purposes?(Required)

What kinds of satellite imagery and data are you most familar with?(Required)
What kinds of GIS/Image Analysis Software and Tools are you most familar with?(Required)
What kinds of Mobile App tools are you most familar with?(Required)
What kinds of Cloud-based tools are you most familar with?(Required)
What kinds of Languages/Libraries are you most familar with?(Required)
What types of ML/AI Methods have you deployed(Required)
What kinds of data products are you most familar with?(Required)
What kinds of cases most interest you?(Required)

Drop files here or
Max. file size: 100 MB.
    Relevant Links (LinkedIn, white papers, blogs)(Required)