In today’s digital age, it’s easy to overlook the environmental impact of our online activities. However, the art installation MB>CO2 by ecological artist Thijs Biersteker is changing that by shedding light on the hidden consequences of our data usage.
Understanding MB>CO2
MB>CO2 translates the invisible carbon emissions from our digital actions into a tangible experience. Every megabyte (MB) of data we use generates approximately 20 grams of CO2, a startling fact brought to life through this interactive artwork. Visitors can video call into the installation, where their data usage is calculated in real-time, and the corresponding CO2 emissions are visualized as puffs of smoke within a living biotope.
During the pandemic, many of us experienced a surge in data usage due to increased online activities like Zoom meetings, streaming on Netflix, trading NFTs, and running AI algorithms. Biersteker’s installation highlights the staggering impact of these actions. For instance, an average hour-long Zoom call produces around 160 grams of CO2 per person, while a night of Netflix streaming can result in up to 900 grams of CO2 emissions.
MB>CO2 doesn’t just reveal the problem, it advocates for change. The installation encourages viewers to reconsider their digital habits, suggesting actions like avoiding large email attachments and adopting sustainable AI practices. Biersteker hopes that by making these complex issues more relatable, people will be motivated to take steps toward reducing their digital carbon footprint.
Internet use currently accounts for 3.7% of global greenhouse gas emissions, equivalent to all air traffic worldwide. This figure is expected to double by 2025. Data centers, which power our online activities, are significant contributors, consuming vast amounts of energy. By visualizing these impacts, MB>CO2 underscores the urgent need for greater transparency and sustainable practices in the digital realm.
What does this have to do with my project?
This is the first project, which deals with exactly the same topic as I am. I’m surprised that this exists and feel very inspired and motived by it. Low key, I feel like I should move on from my abstract data visualization to something easier and more tangible. I’m extremely happy that I found this and wanted to share it with y’all. Cheers!
