open science for
planetary regeneration
Join us in fostering a research ecosystem that grows across boundaries.
We are scientists and engineers, humanists and designers. Working entirely in the open, we conduct scientific research and develop technologies that catalyze ecological regeneration at planetary scale.
Put your skills to work.
2000+
members
8
active labs

how labs work

lifecycle of a lab
PITCH

A community member identifies a scientific question or technological need that stands as a key barrier to ecological regeneration. The proposal of a new lab to solve the problem is shared at an event and here on our website.

weeks 0-8

COALESCE

Community members extend their skills and knowledge to meet the new lab’s needs. The team commits to working together.

weeks 9-12

RESEARCH

Input from our council of advisors helps hone the plan. Research and development are carried out and documented.

weeks 13-40

ACT

The Institute and its community assist in circulating and activating the lab’s findings through publication, product launch, or acceleration into a new phase of work.

weeks 40+

watch our launch event

earth day 2022 (1 hour)

The Earthshot Institute is gathering teams to conduct research and build tech that will catalyze ecological regeneration. Together, we are cultivating a research ecosystem that grows across disciplinary and institutional boundaries.

​Four labs are already working toward our goal. Three more launched Earth Day: Bison, Coastal Wetland Forests, and Bundled Ecological NFT. Learn more about the institute and match with a lab by watching our Earth Day event! Diverse skills are needed—and all are welcome. Come lend your unique genius to the planet!

slide deck

current labs

learn, enroll, pitch
Global Forests
Aron Boettcher ☉

University of Hawaii
Kyle Fisher ❍ Andre Otte  ❍
We are building an accurate and global model for predicting potential rates of reforestation and resulting carbon sequestration. Such a model could have a transformational impact on global reforestation efforts by opening new streams of financing in the form of carbon credit futures.
ACTIVE
FULLY ENROLLED
Learn more →
Bison
Jason Baldes ☉
NWF & ITBC

Gisel Booman ☉
RegenNetwork

Emily Austin ❍ Colin Hill ❍ Valérie Lechêne ❍ Justin Lewis ❍ Jens Owen ❍ Jason Prasad ❍ 
Across the continent, a number of first nations are reintroducing bison to grasslands where they were once an ecologically vital species. Initial experiences and evolutionary considerations suggest that this may be ecologically beneficial in terms of biodiversity, carbon cycle, and resilience to climate change. However, these questions have not yet been studied at scale. In this lab, we will leverage remote sensing to scale up from ground measurements, establishing the large-scale patterns of bison impact.
ACTIVE
FULLY ENROLLED
Learn more →
Coastal Forested Wetlands
Elliott White Jr. ☉

Stanford University

Nikhil Raj Deep ❍ Aaron Hirsh ❍ Stephanie Kao ❍ Layla Tadjpour ❍  
The goal of our lab is to create a high-spatial resolution map of coastal forested wetlands at global scale. If we know precisely where these ecologically critical but fragile forests are located, we can manage freshwater flows to counteract saltwater introgression due to rising sea levels, and we can assist in their migration inland, preserving their critical function in protecting coastlines and sequestering carbon.
ACTIVE
FULLY ENROLLED
Learn more →
Bundled Ecological NFT
Philip Taylor ☉

MadAgriculture
Markets in voluntary carbon credits are increasingly providing a flow of capital for regenerating ecosystems. The problem is, thriving and resilient ecosystems are not just carbon. We need to find ways to structure credits to incentivize the diverse and functional ecosystems we want, not merely high-concentrations of carbon. We will design the technological tools to support a market in bundled ecological credits.
PENDING
blockchain engineering • full-stack development • finance •
Learn more →
Impact & Risk
Aaron Hirsh

Earthshot Institute
Earthshot Institute Open-Science Network ❍
Leveraging the Earthshot Institute’s broad scientific and technical expertise, the Impact & Risk lab helps investors and governments who earnestly want to forecast, measure, and address the socio-ecological risks to and/or impacts from their work. For a given system, we build simple process-based models to identify key socio-ecological risks and outcomes. We then draw on big data to improve and train our models, generating quantitative predictions and developing measurement systems for verification.
ACTIVE
FULLY ENROLLED
Learn more →
Beaver
Grace Lindsay

New York University
Amgad Ellaboudy ❍ James McCreight ❍ Forrest Pound ❍ Robbe Verhofste ❍
Beaver dams are known to result in greener, more drought-resilient waterways in semi-arid environments. We are using computer vision to spot dams in satellite imagery, generating a large dataset that we can use to train models that will tell us what the ecological effects of a dam will be at any point on a waterway. The goal is to create a tool to guide efficient restoration through the introduction of small dams.
PENDING
remote sensing • computer vision • river ecology • predictive modelling •
Learn more →
Ganges
Anthony Acciavatti ☉

Yale University
In our pursuit of a successful and thriving relationship between humanity and natural systems, the Ganges river basin represents an extreme challenge. It is densely populated, remains agriculturally productive, and subject to an extremely powerful monsoon. We are mapping and analyzing a key feature of the Ganges basin—naalas—to understand how new forms of green infrastructure, such as parks, bioswales, and bioremediation, can rejuvenate this vital and sacred river.
PENDING
anthropology • hydrology • GIS • machine learning • permaculture • soil science •
Learn more →
Assisted Forest
Regeneration
Leland Werden ☉

ETH Zürich
This project is pioneering the idea of a massively open literature review. We aim to quantify potential carbon capture and plant biodiversity recovery of forest, savannah, and mangrove assisted restoration projects. To do so, we are gathering and synthesizing unpublished data from field partners, integrating as much information from non-English sources as possible. There is a wealth of wisdom that has not been published in academic journals, and we aspire to integrate these insights into our review.
ENROLLING
ecologists • foresters • naturalists • restoration practitioners •
Learn more →
Pitch!
You ☉
A scientific question or technological need that you believe stands as a key barrier to ecological regeneration. We will work with you to develop your proposal and identify the roles that would fill out the right interdisciplinary team. Consult some of the other lab pages as examples, and click below to read about more specific steps in the process.
PLANNING
Learn more →

join our community

all are welcome
Fill out the form below to become part of our community.

If you are interested in contributing to the Earthshot Institute community, the form will guide you in providing information about your knowledge areas, skills, and background. Once you submit, you will receive an email to join our slack workspace.

Earthshot Institute Sign-Up

register for an


upcoming online event

let's connect!

Join our next community welcome call. We will go through a round of introductions and shed light on ways to get involved.

Friday December 9
9am PST / 12pm EST / 6pm CET

Community Welcome Call

Can't make the launch? Register for our welcome call ↗

heading 1

heading 2

heading 3

heading 4

heading 5
heading 6

quote

Coastal Wetland Forests
Elliott White Jr

The goal of our lab is to create a high-spatial resolution map of coastal forested wetlands at global scale. If we know precisely where these ecologically critical but fragile forests are located, we can manage freshwater flows to counteract saltwater introgression due to rising sea levels, and we can assist in their migration inland, preserving their critical function in protecting coastlines and sequestering carbon.

Bison
Jason Baldes
Gisel Booman

Across the continent, a number of first nations are in the process of reintroducing bison to the grasslands in which they were once the primary grazer and an ecologically vital species. Initial experiences and evolutionary considerations suggest that this may be ecologically beneficial in terms of grassland biodiversity, carbon cycle, and resilience to climate change. However, these questions have not yet been studied at scale. In this lab, we will leverage remote sensing to scale up from ground measurements, establishing the large-scale patterns of bison impact.

Riparian Ecosystems
Forrest Pound

Beaver dams are known to result in greener, more drought-resilient waterways in semi-arid environments. We are using computer vision to spot dams in satellite imagery, generating a large dataset that we can use to train models that will tell us what the ecological effects of a dam will be at any point on a waterway. The goal is to create a tool to guide efficient restoration through the introduction of small dams.

Bundled Ecological NFT
Philip Taylor

Markets in voluntary carbon credits are increasingly providing a flow of capital for regenerating ecosystems. The problem is, thriving and resilient ecosystems are not just carbon. We need to find ways to structure credits to incentivize the diverse and functional ecosystems we want, not merely high-concentrations of carbon. We will design the technological tools to support a market in bundled ecological credits.

Global Forests
Aron Boettcher

We are building an accurate and global model for predicting potential rates of reforestation and resulting carbon sequestration. Such a model could have a transformational impact on global reforestation efforts by opening new streams of financing in the form of carbon credit futures.

Impact & Risk
Aaron Hirsh
Valérie Lechêne

Leveraging The Earthshot Institute’s broad scientific and technical expertise, the Impact and Risk Lab helps investors and governments who earnestly want to forecast, measure, and address the socio-ecological risks to and/or impacts from their work. For a given system, we build simple process-based models to identify key socio-ecological risks and outcomes. We then draw on big data to improve and train our models, generating quantitative predictions and developing measurement systems for verification.

Pitch!
No items found.
Register for the

Earthshot Institute Launch Event
Fri April 22
Online