Design | Front-end Development | API Development | Data Processing
We are working closely with the Southeast Aquatic Resources Partnership
to improve the Southeast Aquatic Connectivity Tool
to better assist members of the aquatic conservation community
in identifying and removing or mitigating the impact of
aquatic barriers across large areas of the U.S.
Client: U.S. Fish and Wildlife Service, Southeast Conservation Adaptation Strategy
Nov 26, 2019 — Dec 31, 2024
Design | Front-end Development | API Development | Data Processing
We are working with the U.S. Fish and Wildlife Service and partners under the
Southeast Conservation Adaptation Strategy to develop front-end applications
that make it easier for users to explore and understand conservation blueprints
in the Southeastern U.S.
Design | Front-end Development | API Development | Data Processing
We have been working closely with the Marine Conservation Institute to build
and improve a brand new, easy-to-use, data-rich version of the Marine Protection
Atlas to more effectively showcase key information about marine protection worldwide
We migrated the project tracking database for the
Southeast Aquatic Resources Partnership to Amazon Web Services
to make it easier to access and manage project tracking data.
Client: Pacific States Marine Fisheries Commission
Aug 1, 2019 — Dec 31, 2020
Design | Front-end Development
We worked closely with the Pacific States Marine Fisheries Commission to enhance
the West Coast Estuaries Explorer with additional data and functionality.
The New Zealand Department of Conservation needed to test budget allocation
approaches as part of its 10-year master budget planning. I created a rapid
pilot application to help the department quickly visualize, compare, and
evaluate different approaches to allocating budgets as part of this overall
effort.
Client: U.S. Geological Survey, North American Bat Monitoring Program
Nov 12, 2019 — Nov 13, 2019
Workshops
I helped lead a workshop focused on integrating bat acoustic monitoring
portals in order to create a more cohesive, centralized data system. This
system will make it easier for users to share data they are already
collecting about bats and empower scientists and decision makers with
greater breadth, depth, and quality of data on bats.