Columbia Researcher Designs Data Visualization of Carbon Footprints
A Columbia researcher affiliated with
the Data Science Institute has created a data-visualization tool that shows the carbon footprints of hundreds of consumer products. The tool makes it easy for everyone to explore the products carbon-emission levels and the various strategies companies are employing to reduce emissions.
The visualization tool, called
Carbon Catalogue, breaks down the carbon footprint of a product during its entire life cycle, illustrating the carbon it emits during the raw material, manufacturing and later downstream phases. The data show that several companies have made vast improvements in reducing their products emissions. Some have instituted sustainable practices such as reducing packaging for food and beverage products, while others replaced fossil fuel with bio energy or lowered the energy consumption of computers.
This free tool can serve as an inspiration for other companies to reduce their products emissions, especially since smaller carbon footprints often correlate with reduced production costs, says
Christoph Meinrenken, an associate research scientist at The
Earth Institute and chief data scientist at
CoClear, an environmental analytics firm.
The visualization looks like a wheel with color-coded spokes, each representing a consumer product such as a cell phone, a car, or a pair of jeans. When a user hovers over a spoke, a pop-up box appears with a summary of a products life-cycle data, including improvements companies made to reduce its carbon emissions. Working with CoClear, Meinrenken analyzed carbon emissions data for 866 products made by 145 companies from 28 countries. The companies voluntarily submitted the data to CDP (formerly the Carbon Disclosure Project), a nonprofit that asks companies to complete detailed questionnaires about their products emissions data. The researchers used life-cycle data submitted to CDP on products from 2013-2017 to create the visualization, whose menu allows viewers to search by company, industry or year.