Learn how data science can help turn trash data (not trashy data) into knowledge. This knowledge
needed to help combat the global problem of trash impacting our aquatic environments. This
presentation will discuss leveraging big data tools (open data, Trash Taxonomy, AI, machine learning,
web applications …) to turn data into action.
waste
Incident Waste Decision Support Tool (I-Waste)
Big Data for Trash Monitoring Programs Big or Small
NOAA’s Marine Debris Monitoring and Assessment Project
The Trash Monitoring and Assessment Project (MDMAP), is a citizen science initiative that engages
NOAA partners and volunteers across the nation to survey and record the amount and types of marine
debris on shorelines. Each passionate and dedicated partner in the MDMAP network selects a nearby
shoreline monitoring site that they return to monthly to conduct surveys and submit meaningful data to
NOAA’s MDMAP Database.
How big is the marine debris problem, and how is it changing over time? What types of debris are most
common in your region? MDMAP data can help to answer these questions and can be used to guide
marine debris policy development, education, and outreach, and address important research questions.
The California Trash Monitoring Playbook
Trash monitoring methods in aquatic environments has presented many challenges in
method standardization and how to answer management questions. During this webinar
you will be introduced to the new California Trash Monitoring Playbook.
The California Ocean Protection Council (OPC), in close partnership with the State
Water Board, has recognized the importance of standard methods for trash monitoring
and has funded this project. The Southern California Coastal Water Research Project
(SCCWRP) and San Francisco Bay Estuary Institute (SFEI) have partnered up to test
multiple trash monitoring methods with a goal of developing a library of methods with
known levels of precision, accuracy, and cross-comparability of results, and linking
these methods to specific management questions.