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@emlab-ucsb

emLab

The Environmental Markets Lab (emLab) is an interdisciplinary team of scientists based at the University of California Santa Barbara.

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We are the Environmental Markets Lab (emLab), an an interdisciplinary team of scientists based at the University of California Santa Barbara that conducts cutting-edge, data-driven research on the power, limitations, and design of market-based approaches to tackle the world's most pressing environmental problems. In collaboration with implementing partners, we aim to better align environmental objectives and economic incentives in support of sustainable livelihoods and a resilient planet.

Our highly skilled data scientists leverage large data repositories from public and, when possible, private sources to draw conclusions about the relationship between human behavior and the natural world. We believe that the scientific process should be transparent and open to examination, and we uphold that value by striving to make our code, data, and tools publicly accessible. Explore our repos to learn more about our work!

Popular repositories

  1. ocean-conservation-priorities ocean-conservation-priorities Public

    Repository for all the code associated with the paper "Reconciling biodiversity protection, food production, and climate change mitigation in the global ocean" from Sala et al, 2020

    HTML 16 9

  2. slavery-in-fisheries slavery-in-fisheries Public

    Contains code and data for reproducing the manuscript, "Satellites can reveal global extent of forced labor in the world’s fishing fleet"

    R 9 2

  3. tidymodels-tutorial tidymodels-tutorial Public

    This is a brief high-level tutorial for the tidymodels package

    HTML 5 12

  4. SOP SOP Public

    Standard operating procedures for emLab projects

    4 4

  5. COVID-seasonality COVID-seasonality Public

    Replication files for COVID seasonality study by Tamma Carleton and Kyle Meng

    Stata 4

  6. oceandatr oceandatr Public

    Offshore data preparation for prioritization package

    R 4

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