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EcoDataLab

EcoDataLabs provides consumption-based emissions inventories for local governments, helping them understand their complete carbon footprints. By leveraging research and technology, the company enables communities to identify and implement effective actions to reduce their environmental impact.

Berkeley, United StatesFounded 20201300+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Local governments and organizations often lack a comprehensive understanding of their community-wide carbon footprint, particularly the emissions associated with consumption patterns. Traditional emissions inventories may overlook Scope 3 emissions and the impact of consumer behavior at the neighborhood scale, hindering the development of effective climate action strategies.

Solution

EcoDataLab provides consumption-based emissions inventories (CBEI) that enable local jurisdictions and organizations to quantify and analyze their complete carbon footprint. By leveraging advanced statistical techniques and big data, EcoDataLab predicts consumer behavior at a granular level, offering insights into emissions associated with local household consumption. The company's approach, based on research from the CoolClimate Network at UC Berkeley, adheres to Greenhouse Gas Protocol standards for Scope 3 accounting, including emissions from purchased goods and services. EcoDataLab's CBEI helps communities identify emission reduction opportunities and develop targeted policies for climate action.

Target Audience

EcoDataLab primarily serves local governments, public institutions, and nonprofit organizations seeking to understand and reduce their community-wide carbon footprint.

Features

  • Consumption-based emissions inventories (CBEI) for local jurisdictions and organizations
  • Analysis of Scope 3 emissions, including emissions from purchased goods and services
  • Prediction of consumer behavior at the neighborhood scale using big data and statistical techniques
  • Integration of data from the Consumer Expenditures Survey (CE), National Household Travel Survey (NHTS), and Residential Energy Consumption Survey (RECS)
  • Emissions calculations based on the US EPA's USEEIO model and eGrid emission factors
  • Custom emission factors (grams CO2e per dollar of CE expenditure) based on detailed mapping of sectors, PCE and CE categories
  • Identification of actionable data indicators (ADI) for tracking and evaluating progress towards reducing emissions from consumption
This profile is AI-generated and may contain inaccuracies.