The Cloud Is Material: On the Environmental Impacts of Computation and Data Storage
Open accessAbstract
In the age of machine learning, cryptocurrency mining, and seemingly infinite data storage capacity enabled by cloud computing, the environmental costs of ubiquitous computing in modern life are obscured by the sheer complexity of infrastructures and supply chains involved in even the simplest of digital transactions. How does computation contribute to the warming of the planet? As information technology (IT) capacity demands continue to trend upward, what are some of the ecological obstacles that must be overcome to accommodate an ever-expanding, carbon-hungry Cloud? How do these material impacts play out in everyday life, behind the scenes, where servers, fiber optic cables, and technicians facilitate cloud services? This case study draws on firsthand ethnographic research in data centers—sprawling libraries of computer servers that facilitate everything from email to commerce—to identify some of the far-reaching and tangled environmental impacts of computation and data-storage infrastructures. It surveys a range of empirical accounts of server technicians to illustrate on-the-ground examples of material and ecological factors that permeate everyday life in the Cloud. These examples include air conditioning and thermal management, water cycling, and the disposal of e-waste. By attending to the culture of workplace practice and the behaviors and training of technicians in data centers, this case study reveals that the Cloud is not fully automated, nor is it hyperrational; emotion, instinct, and human judgment are enlisted to keep servers running. This case study closes with a speculative vignette that scales up from various local impacts to a planetary framework, sketching some of the particular ways that computation contributes to climate change and the Anthropocene.
AI snapshot
Written from the paper’s full text.
TL;DR
This case study argues that the Cloud is material and ecological, drawing on five years of ethnographic fieldwork in North American data centers to trace carbon, water, noise, and e-waste impacts. It also shows that data center work is cultural and reliant on human judgment, not fully automated or hyperrational.
Key findings
- Data centers are carbon- and energy-intensive: cooling accounts for greater than 40 percent of electricity usage in most data centers; collectively they use 200 TWh annually, account for 0.3 percent of overall carbon emissions (2 percent including networked devices), and in some cases only 6–12 percent of energy consumed is devoted to active computation. The Cloud’s carbon footprint is greater than the airline industry’s, and a single data center can consume the equivalent electricity of fifty thousand homes. Training a handful of AI models can emit over 626,000 pounds of CO₂, and cryptocurrency production is estimated at 20–115 TWh annually, around 0.33 percent of global electricity usage.
- Water and noise are major local impacts: the NSA’s Utah Data Center uses seven million gallons of water daily; residents in Mesa, Arizona and Bluffdale, Utah face water shortages and power outages; and residents near data centers in Chandler, Arizona and Chicago’s Printer’s Row reported hypertension, elevated cortisol, and anxiety from continuous noise, even when decibel levels fell below local ordinance thresholds.
- E-waste and device turnover are severe: over 7 billion devices have been manufactured since 2007, with average lifespans under two years; less than 16 percent of annual e-waste is recycled; and a single desktop computer requires 240 kilograms of fossil fuels, 22 kilograms of chemicals, and 1,500 kilograms of water to manufacture.
- Sustainability is shaped by workplace culture: technicians rely on instinct, fear of downtime, and practices like “flood cooling,” showing that ecological impacts extend beyond design limits to human behavior, training, and norms.
Methods
- Design: an ethnographic case study based on five years of qualitative research and participant observation in North American data centers, supplemented by a broad literature overview across computer science, engineering, media studies, and related fields.
- Data/sample: firsthand fieldnotes and interviews with data center technicians and managers; community fieldwork in Mesa/Chandler, Arizona and Chicago’s Printer’s Row; industry meetups; and virtual interviews.
- Analysis: thematic and ethnographic analysis of material infrastructures and workplace culture, closing with a speculative vignette that scales local impacts to a planetary framework.
Limitations
- The paper states that carbon and energy figures are “far from comprehensive” because emissions data are often proprietary, forcing scholars and activists to rely on public records and voluntary company data; it also notes that cryptocurrency carbon estimates are debated.
- The paper states that its closing speculative vignette is unlikely to unfold as described.
- Evident from the text: the ethnographic scope is limited to North American data centers and selected communities, not a global representative sample, and the study does not provide systematic quantitative measurement of environmental impacts.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 44 cited sources checked · 0 supported · 0 flagged
- Findingnone given
There were days when data centers, running diesel generators, vastly exceeded permissible decibel-thresholds for noise.
“there were days when the data centers, running diesel generators, vastly exceeded permissible decibel-thresholds for noise.”
Quote in the paperNot a substantial claim - Findingcitation
Over the course of fieldwork with communities of Chandler and Printer's Row, the author learned that the noise of the Cloud uniquely eludes regulatory schemes.
“Over the course of my fieldwork with the communities of Chandler and Printer’s Row, I learned that the “noise” of the Cloud uniquely eludes regulatory schemes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingreasoning
Data centers emit acoustic waste, or noise pollution.
“Data centers emit acoustic waste, what environmentalists call “noise pollution.””
Quote in the paperSubstantial claim - Findingreasoning
Cables, batteries, uninterruptible power supplies, air conditioners, power distribution units, and transformers are periodically decommissioned and disposed of when warranties expire and units fail to perform with high standards of reliability and redundancy.
“Cables, batteries, uninterruptible power supplies (UPS), air conditioners (CRACs and CRAHs), power distribution units (PDUs), and transformers are also periodically decommissioned and disposed of, when warranties expire and units fail to perform with the high standards of reliability and redundancy set by entities like the Uptime Institute.”
Quote in the paperSubstantial claim - Findingcitation
In Mesa, Arizona, some politicians are openly opposing construction of data centers, framing their water usage as inessential and irresponsible given resource constraints.
“In Mesa, Arizona, where I spent six months researching the emergence of a desert data center hub, some politicians are now openly opposing the construction of data centers, framing the centers’ water usage as inessential and irresponsible given resource constraints.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingcitation
In many cases, the loudness of data centers, as measured in decibels, falls below the threshold of intolerance prescribed by local ordinances.
“In many cases, the loudness of the data centers, as measured in decibels (dB), falls below the threshold of intolerance as prescribed by local ordinances.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [43]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingcitation
In the early 2000s, fear of downtime led many technicians to resort to the wasteful practice of flood cooling to eliminate hotspots and stop thermal runaway events.
“In the early 2000s, this same fear led many technicians to resort to the wasteful practice of “flood cooling” to eliminate hotspots and stop thermal runaway events from causing downtime.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Efforts are underway in Europe and elsewhere to augment facility and equipment designs to extend lifespan, accommodate repair, and formalize a system of exchange to recycle old equipment using materials passports.
“Efforts are underway in Europe and elsewhere to augment facility and equipment designs to extend the lifespan of units, more easily accommodate repair, and formalize a system of exchange to recycle old equipment using “materials passports” that precisely document unit histories, not unlike CARFAX.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [49]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Estimates of cryptocurrency production's carbon footprint range from 20 to 115 TWh annually, around 0.33 percent of global electricity usage.
“estimates range anywhere from 20 to 115 TWh annually, around 0.33 percent of global electricity usage.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
To cool, the Cloud burns carbon.
“To cool, the Cloud burns carbon, what Jeffrey Moro calls an “elemental irony.””
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The energy requirements for cryptocurrency production are so high that miners only stand to profit if the cost of energy where their computers are located is sufficiently cheap.
“The energy requirements for cryptocurrency production are so high that miners only stand to profit on returns if the cost of energy where their computers are located is sufficiently cheap.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
A single data center can consume the equivalent electricity of fifty thousand homes.
“A single data center can consume the equivalent electricity of fifty thousand homes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Data centers overwhelmingly rely on air conditioning to cool servers.
“data centers overwhelmingly rely on air conditioning, a mechanical process that refrigerates the gaseous medium of air”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Because data center noise is unregulated by political authorities, facilities can be built in close proximity to residential communities.
“Because data center noise is unregulated by political authorities, facilities can be built in close proximity to residential communities.”
Quote in the paperNot a substantial claim - Premisecitation
A single desktop computer requires 240 kilograms of fossil fuels, 22 kilograms of chemicals, and 1,500 kilograms of water to manufacture.
“a single desktop computer requires 240 kilograms of fossil fuels, 22 kilograms of chemicals, and 1,500 kilograms of water to manufacture.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Cheap energy is available in places like China, where over 73 percent of electricity consumed by data centers is sourced from coal.
“cheap energy is also available in places like China, where over 73 percent of electricity consumed by data centers is sourced from coal.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [27]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The Cloud now has a greater carbon footprint than the airline industry.
“the Cloud now has a greater carbon footprint than the airline industry.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
At 200 terawatt hours annually, data centers collectively consume more energy than some nation-states.
“At 200 terawatt hours (TWh) annually, data centers collectively devour more energy than some nation-states.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
In most data centers today, cooling accounts for greater than 40 percent of electricity usage.
“In most data centers today, cooling accounts for greater than 40 percent of electricity usage.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Flood cooling is an example of a practice or norm, not a limitation of design, that led to large amounts of unnecessary energy waste in the earlier days of the data center industry.
““Flood cooling” is an example of a practice or norm, not a limitation of design, that led to large amounts of unnecessary energy waste in the earlier days of the data center industry.”
Quote in the paperNot a substantial claim - Premisereasoning
Data centers are designed to be hyper-redundant, with redundant power systems, servers, and fail-safes to prevent downtime.
“data centers are designed to be hyper-redundant: if one system fails, another is ready to take its place at a moment’s notice, to prevent a disruption in user experiences.”
Quote in the paperSubstantial claim - Interpretationreasoning
The refuse of the digital is ecologically transformative.
“The refuse of the digital is ecologically transformative.”
Quote in the paperSubstantial claim - Interpretationreasoning
For communities like Brenda's and David's, the computational whir of data centers is not merely an annoyance but a source of mental and physical harm.
“For communities like Brenda’s and David’s, the computational whir of data centers is not merely an annoyance, but a source of mental and physical harm.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [39]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [40]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
The environmental costs of ubiquitous computing in modern life are obscured by the complexity of infrastructures and supply chains involved in even simple digital transactions.
“the environmental costs of ubiquitous computing in modern life are obscured by the sheer complexity of infrastructures and supply chains involved in even the simplest of digital transactions.”
Quote in the paperSubstantial claim - Premisecitation
The acute and longitudinal physiological effects of industrial noise pollution are well-documented to include hearing loss, elevated stress hormones like cortisol, hypertension, and insomnia.
“The acute and longitudinal physiological effects of industrial noise pollution are well- documented to include hearing loss, elevated stress hormones like cortisol, hypertension, and insomnia.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The Cloud of the digital is relentlessly material.
“the Cloud of the digital is also relentlessly material.”
Quote in the paperNot a substantial claim - Interpretationown data
The behaviors and practices of technicians observed in data centers suggest that the ecological impacts of the cloud must extend beyond the realm of design to consider practice.
“The behaviors and practices of technicians I observed in data centers suggest that the ecological impacts of the cloud must extend beyond the realm of design to consider practice.”
Quote in the paperSubstantial claim - Interpretationreasoning
Heat must be relentlessly abated to keep digital infrastructure running continuously.
“Heat must therefore be relentlessly abated to keep the engine of the digital thrumming in a constant state, twenty-four hours a day, every day.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 32
- May combine two claims. 26
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenSome residents reported that the monotonal drone, a frequency hovering within the range of human speech, is particularly disturbing given human ears' attuned sensitivity to discern such frequencies above others.
“some residents reported that the monotonal drone, a frequency hovering within the range of human speech, is particularly disturbing, given the attuned sensitivity of human ears to discern such frequencies above others.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhile more reliable technologies and heightened awareness to climate change have made flood cooling largely defunct today, the author still observed behaviors in the data center similarly motivated by fear or hunches.
“While more reliable technologies and heightened awareness to climate change have made “flood cooling” practices largely defunct today, I still observed behaviors in the data center that were similarly motivated by fear or “hunches,” like the one Tom had about aisle C9.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe Cloud's stewards have a culture of their own.
“The Cloud’s stewards have a culture of their own.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationWhen residents contacted authorities to intervene, no action was taken because data centers had not technically violated the law and their properties were zoned for industrial purposes.
“when residents contacted the authorities to intervene, to attenuate or quiet their noise, no action was taken, because the data centers had not technically violated the law, and their properties were zoned for industrial purposes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingown dataThe Cloud is not fully automated, nor is it hyperrational; emotion, instinct, and human judgment are enlisted to keep servers running.
“this case study reveals that the Cloud is not fully automated, nor is it hyperrational; emotion, instinct, and human judgment are enlisted to keep servers running.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenServers that fill data centers are dense, specialized assets, with some units valued in the tens of thousands of US dollars.
“The servers that fill the halls of data centers are dense, specialized assets, with some units valued in the tens of thousands of US dollars.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenWhile community efforts to minimize data center noise pollution are ongoing, residents are resigned to modest goals to improve rather than solve the problem.
“While the efforts of these communities to minimize the noise pollution harming them are ongoing, they are resigned to modest goals to improve rather than solve the problem.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningGiven the enormous financial cost for every minute of downtime in data centers, incidents attributable to human error are often career-ending for those involved.
“Given the enormous financial cost for every minute of downtime in data centers, incidents attributable to human error are often “career-ending” for those involved, as one industry veteran relayed to me in a virtual interview.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenSmaller-scale traditional data centers have often been set up within older buildings not optimized for changing power, cooling, and data storage capacity needs.
“Smaller-scale, traditional data centers have often been set up within older buildings that are not optimized for everchanging power, cooling, and data storage capacity needs.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationIn Bluffdale, Utah, residents are suffering from water shortages and power outages as a result of the nearby Utah Data Center, which consumes seven million gallons of water daily.
“In Bluffdale, Utah, residents are suffering from water shortages and power outages, as a result of the nearby Utah Data Center, a facility of the US National Security Agency (NSA) that guzzles seven million gallons of water daily to operate.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationSome hyperscale data centers have pledged to become carbon-neutral via offsets and renewable energy, while many smaller-scale data centers lack the resources and capital for similar sustainability initiatives.
“some of the most advanced, “hyperscale” data centers, like those maintained by Google, Facebook, and Amazon, have pledged to transition their sites to carbon-neutral via carbon offsetting and investment in renewable energy infrastructures like wind and solar, many of the smaller-scale data centers that I observed lack the resources and capital to pursue similar sustainability initiatives.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe material and political conditions of ICT device manufacture, and the resources required for their production, remain obscured.
“the material and political conditions of their manufacture, and the resources required for their production, remain obscured.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOther scholars have recently turned to speculative fiction to help identify potential harms that could arise from computing research practices, such as the collection of huge data sets compiled from publicly accessible social media sites.
“Other scholars have recently turned to speculative fiction to help identify potential harms that could arise from computing research practices, such as the collection of huge data sets compiled from publicly accessible social media sites.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe Climate Neutral Data Centre Pact, a consortium of European data center companies and infrastructure providers promising to become climate neutral by 2050, provides a model for larger-scale regulatory initiatives that could make a more substantial impact.
“larger mechanisms of accountability like the recent Climate Neutral Data Centre Pact, a consortium of European data center companies and infrastructure providers promising to become “climate neutral” by 2050, provide a model for larger-scale regulatory initiatives that could make a more substantial impact.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationIn vast factories like Foxconn in the Global South, where labor is cheap and legal protections scant, smartphones are assembled and shipped to consumers, only to be discarded in months and end up in e-waste graveyards like Agbogbloshie, Ghana.
“in vast factories like Foxconn located in the Global South, where labor can be procured cheaply and legal protections for workers are scant, smartphones are assembled and shipped out to consumers, only to be discarded in a matter of months, to end up in e-waste graveyards like those of Agbogbloshie, Ghana”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [46]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCompanies like Google are pledging to go water-positive by 2030, committing to replenish 120 percent of the water they consume in facilities and offices.
“companies like Google are pledging to go “water- positive” by 2030, committing to “replenish” 120 percent of the water they consume in their facilities and offices.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
Interpretationnone givenThe Cloud is both cultural and technological.
“The Cloud is both cultural and technological.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningIndividualized responses such as digital abstinence would not be enough to mitigate the crisis; individuals' digital abstinence would not likely exert enough market influence to stop or slow the expansion of the Cloud, with its servers and redundant chains of idling equipment designed to make the digital available anytime, anywhere.
“Yet such individualized responses would not be enough to mitigate the crisis; individuals' digital abstinence would not likely exert enough market influence to stop or slow the expansion of the Cloud, with its servers and redundant chains of idling equipment designed to make the digital available anytime, anywhere.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThese metals, many toxic and containing radioactive elements, take millennia to decay.
“These metals, many of which are toxic and contain radioactive elements, take millennia to decay.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenUnlike other industries, data centers are largely self-regulating: there is no sweeping federal agency to govern the siting and operation of new and existing facilities.
“Unlike other industries, data centers are largely self-regulating: there is no sweeping federal agency to govern the siting and operation of new and existing facilities.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Interpretationnone givenThe Cloud is a social and cultural formation as well as a technological and material one.
“I approach the study of the Cloud holistically, taking seriously the technological and material aspects of computation and data storage, while also attending to the ways that the Cloud is a social and cultural formation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenMachine learning and cryptocurrency mining are two computational processes performed by servers that are particularly energy-intensive and of increasing concern.
“there are two computational processes performed by servers that are particularly energy-intensive and are of increasing concern to scholars, activists, and data center industry professionals: 1) machine learning and 2) cryptocurrency mining.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
InterpretationreasoningComputation is metabolic: to maximize returns, energy inputs must match intensity, as cooling BTUs must be matched to electricity kWh to prevent thermal runaway.
“computation is metabolic: to maximize returns on computational processes, energy inputs must match intensity in the same way that tons of cooling (BTUs) must be matched to electricity curves (kwh) to prevent thermal runaway.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe equivalent of one US dollar in Bitcoin requires over seventeen megajoules of energy to produce, double the energy required to mine copper, gold, or platinum.
“the equivalent of one US dollar in Bitcoin requires over seventeen megajoules of energy to produce, which is double the amount of energy required to mine copper, gold, or platinum.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenUnder grueling conditions, miners plumb the earth for rare metals required to make information and communications technology devices.
“Under grueling conditions, miners tirelessly plumb the earth for the rare metals required to make information and communications technology (ICT) devices.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).
PremisecitationMedia scholar Mél Hogan warns against entrusting Big Tech with its own regulation, given companies' financial ties to the fossil fuel industry and failure to meet previous pledges.
“Media scholar Mél Hogan warns against entrusting “Big Tech” with its own regulation, given the companies’ financial ties to the fossil fuel industry and failure to meet the deadlines of previous pledges to reduce carbon emissions or other kinds of waste.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationBy implementing closed-loop water cooling systems, companies like Google and Cyrus One can recycle some wastewater used in evaporative cooling, though much water escapes into the atmosphere during evaporation.
“By implementing costly “closed-loop” water cooling systems, companies like Google and Cyrus One are able to recycle some of the wastewater used in evaporative cooling, though much of the water escapes into the atmosphere during the evaporative process.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFor places like Iceland, with free cooling and a largely sustainable geothermal energy grid, high-performance computation is a natural fit.
“For places like Iceland, with free cooling and a largely sustainable geothermal energy grid, highperformance computation is a “natural” fit.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningThe shift from cooling air to cooling water is an attempt to reduce carbon footprint but comes at a cost.
“This shift from cooling air to cooling water is an attempt to reduce carbon footprint, but it comes at a cost.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn North America, most data centers draw power from dirty electricity grids, especially in Virginia's data center alley, the site of 70 percent of the world's internet traffic in 2019.
“In North America, most data centers draw power from “dirty” electricity grids, especially in Virginia’s “data center alley,” the site of 70 percent of the world’s internet traffic in 2019.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAdvances in machine learning have led to sustainability innovations in a number of industries and advanced research to support environmentalist agendas.
“advances in machine learning have led to sustainability innovations in a number of industries and have advanced research to support environmentalist agendas.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable).
Interpretationown dataThe story of the data center is as much about humans as it is about air conditioners, servers, and cables.
“the story of the data center is as much about humans as it is about air conditioners, servers, and the messy cables I spent hours untangling as part of my initiation into this niche world.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
PremisereasoningIn many data centers today, chilled water is piped through server racks to cool the facility because liquid is a superior convective agent than air.
“In many data centers today, chilled water is piped through the latticework of server racks to more efficiently cool the facility, liquid being a superior convective agent than air.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningA holistic approach to environmental reforms in the data center industry requires consideration of the workplace culture and norms within data centers.
“A holistic approach to environmental reforms in the data center industry requires consideration of the workplace culture and norms within data centers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.
InterpretationreasoningThe ecological dynamics we find ourselves in are not entirely a consequence of design limits, but of human practices and choices-among individuals, communities, corporations, and governments-combined with a deficit of will and imagination to bring about a sustainable Cloud.
“The case study illustrates that the ecological dynamics we find ourselves in are not entirely a consequence of design limits, but of human practices and choices-among individuals, communities, corporations, and governments-combined with a deficit of will and imagination to bring about a sustainable Cloud.”
Quote in the paperNot a substantial claim- Rests on an assumption: A sustainable Cloud is achievable, so that the ecological problem is a matter of will and imagination rather than an unavoidable consequence of design limits.
May combine two claims.
PremisecitationTraining a handful of artificial intelligence models can emit over 626,000 pounds of carbon dioxide, as much as five American automobiles do over their lifespans.
“training a handful of artificial intelligence models can emit over 626,000 pounds of carbon dioxide, as much as five American automobiles do over their lifespans.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAccording to a Lawrence Berkeley National Laboratory report, if the entire Cloud shifted to hyperscale facilities, energy usage might drop as much as 25 percent.
“According to a Lawrence Berkeley National Laboratory report, if the entire Cloud shifted to hyperscale facilities, energy usage might drop as much as 25 percent.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGoogle and others pledge to invest in water infrastructure and community resources to enhance water stewardship and water security.
“Google and others pledge to invest in water infrastructure and community resources to enhance “water stewardship” and “water security.””
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationElectricity utilized by data centers accounts for 0.3 percent of overall carbon emissions; including networked devices like laptops, smartphones, and tablets, the total shifts to 2 percent of global carbon emissions.
“Today, the electricity utilized by data centers accounts for 0.3 percent of overall carbon emissions, and if we extend our accounting to include networked devices like laptops, smartphones, and tablets, the total shifts to 2 percent of global carbon emissions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenMany companies, universities, and others operating small-scale data centers have begun transferring data to hyperscalers or cloud colocation facilities, citing energy cost reductions.
“many companies, universities, and others who operate their own small-scale data centers have begun to transfer their data to hyperscalers or cloud colocation facilities, citing energy cost reductions.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenSome decommissioned components have toxic polychlorinated biphenyls and must be disposed of rather than reused.
“Some of these components have toxic polychlorinated biphenyls (PCBs) and must be disposed of rather than reused.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationHeat is the waste product of computation, and if left unchecked it becomes a foil to the workings of digital civilization.
“Heat is the waste product of computation, and if left unchecked, it becomes a foil to the workings of digital civilization.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [6]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [7]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenCommunities in the western United States are increasingly strained for water resources.
“communities in the western United States are increasingly strained for water resources.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationCorporate pledges such as Google's water-positive pledge are not enforceable and do not appear feasible given expected explosive growth in data storage infrastructures, a tripling by some estimates.
“Corporate pledges such as these, while laudable, are not enforceable, nor do they appear to be feasible given the explosive growth expected in data storage infrastructures over the next decade, a tripling by some estimates.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationClimate models anticipate cataclysmic climate futures.
“in which climate models anticipate cataclysmic climate futures”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
PremisecitationFictions are not falsehoods but refashionings through which analysts experiment with different scenarios, trajectories, and reversals, elaborating new values and testing different possibilities for creating more just and equitable societies.
“Fictions…are not falsehoods but refashionings through which analysts experiment with different scenarios, trajectories, and reversals, elaborating new values and testing different possibilities for creating more just and equitable societies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEnvironmental organizations like Greenpeace estimate that less than 16 percent of the tons of e-waste generated annually is recycled.
“environmental organizations like Greenpeace estimate that less than 16 percent of the tons of e-waste generated annually is recycled.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
PremisecitationThe survival of civilization now hinges on our collective capacities to envision and realize a sustainable future.
“The survival of civilization now hinges on our collective capacities to envision and realize a sustainable future.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThe mining of cryptocurrency is a computationally intensive process with a growing ecological impact.
“the mining of cryptocurrency is a computationally intensive process with a growing ecological impact.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The paper relies on this without support.
A sustainable Cloud is achievable, so that the ecological problem is a matter of will and imagination rather than an unavoidable consequence of design limits.
“The case study illustrates that the ecological dynamics we find ourselves in are not entirely a consequence of design limits, but of human practices and choices-among individuals, communities, corporations, and governments-combined with a deficit of will and imagination to bring about a sustainable Cloud.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A single data centre was spending as much electricity as 50,000 homes.
“Cloud computing, an integral part of machine learning and GenAI systems, had a greater carbon footprint than the airline industry in 2022; notably, a single data centre was spending as much electricity as 50,000 homes (Monserrate, 2022).”
From Higher Education's Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania (2024) · cites this paper as Monserrate, 2022
Cloud computing, an integral part of machine learning and GenAI systems, had a greater carbon footprint than the airline industry in 2022.
“Cloud computing, an integral part of machine learning and GenAI systems, had a greater carbon footprint than the airline industry in 2022; notably, a single data centre was spending as much electricity as 50,000 homes (Monserrate, 2022).”
From Higher Education's Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania (2024) · cites this paper as Monserrate, 2022
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Conflicting climate-neutral pledge dates
MinorThe text says the European data-center consortium promises climate neutrality by 2050, but the cited source's title says European cloud providers pledge to reach it by 2030.
“the recent Climate Neutral Data Centre Pact, a consortium of European data center companies and infrastructure providers promising to become "climate neutral" by 2050”
“Peter Judge, "European Cloud Providers Pledge to Go Climate Neutral by 2030," Data Center Dynamics, January 22, 2021”
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- Julia Velkova, "Data That Warms: Waste Heat, Infrastructural Convergence, and the Computation Traffic Commodity," Big Data & Society 3, no. 2 (2016), https://doi.org/10.1177/2053951716684144; · DOI
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- Lynn H. Kaack et al., "Aligning Artificial Intelligence with Climate Change Mitigation," preprint, submitted October 6, 2021, hal-03368037, https://hal.archives- ouvertes.fr/hal-03368037. See also Payal Dhar, "The Carbon Impact of Artificial Intelligence," Nature Machine Intelligence 2 (2020): 423-25, https://doi.org/10.1038/s42256-020-0219-9. ↩ · DOI · Paper page
- Hogan, "Big Data Ecologies." See also Mél Hogan, "Data Flows and Water Woes: The Utah Data Center," Big Data & Society (December 2015), https://doi.org/10.1177/2053951715592429. ↩ · DOI · Paper page
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- Malik Muhammad Anees, Muhammad Qasim, and Aroj Bashir, "Physiological and Physical Impact of Noise Pollution on Environment," Earth Science Pakistan 1, no. 1 (2017): 8-11, https://doi.org/10.26480/esp.01.2017.08. · DOI
- See also Nathaniel Lee, David Anderson, and Jessica Orwig, "Noise Pollution Is a Bigger Threat to Your Health Than You May Think, and Americans Aren't Taking It Seriously," Business Insider, January 26, 2018, https://www.businessinsider.com/noise-pollution-effects-human-hearing-health- quality-of-life-2018-1. ↩ · DOI
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- Jennifer Gabrys, Digital Rubbish (Ann Arbor: University of Michigan Press, 2013);
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- Ruha Benjamin, "Racial Fictions, Biological Facts: Expanding the Sociological Imagination through Speculative Methods," Catalyst: Feminism, Theory, Technoscience 2, no. 2 (2016): 1-28, on 2, https://doi.org/10.28968/cftt.v2i2.28798. ↩ · DOI
- Casey Fiesler, "Ethical Considerations for Research Involving (Speculative) Public Data," Proceedings of the ACM on Human-Computer Interaction 3 (December 2019), 249, https://doi.org/10.1145/3370271; · DOI
- Casey Fiesler, "Innovating Like an Optimist, Preparing Like a Pessimist: Ethical Speculation and the Legal Imagination," Colorado Technology Law Journal 19, no. 1 (2021): 1-18, https://ctlj.colorado.edu/?p=696. ↩
- Paul J. Crutzen, "The 'Anthropocene,'" in Earth System Science in the Anthropocene, ed. Eckart Ehlers and Thomas Krafft (Berlin: Springer, 2006), 13-18. ↩
- Jason W. Moore, "The Capitalocene, Part I: On the Nature and Origins of Our Ecological Crisis," Journal of Peasant Studies 44, no. 3 (2017): 594-630, http://dx.doi.org/10.1080/03066150.2016.1235036; · DOI
- Donna Haraway, Staying with the Trouble (Durham, NC: Duke University Press, 2016);
- McKenzie Wark, Molecular Red: Theory for the Anthropocene (New York: Verso, 2015); and Kathryn Yussoff, A Billion Black Anthropocenes or None (Minneapolis: University of Minnesota Press, 2018). ↩
- Steven Gonzalez Monserrate, "Silicon Fox," Anthropology and Humanism 45, no. 1 (2020): 130-38, https://doi.org/10.1111/anhu.12276. · DOI
Cited by
Sorted by citations
Higher Education's Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania
Rudolph, J., Mohamed Ismail, F. M., & Popenici, S. (2024) · Journal of University Teaching and Learning Practice · doi:10.53761/54fs5e77 · Cited by 128 · see citing works
“Cloud computing, an integral part of machine learning and GenAI systems, had a greater carbon footprint than the airline industry in 2022; notably, a single data centre was spending as much electricity as 50,000 homes (Monserrate, 2022).”
BackgroundPlatform capitalism and cloud infrastructure: Theorizing a hyper-scalable computing regime
Narayan, D. (2022) · Environment and Planning A Economy and Space · doi:10.1177/0308518x221094028 · Cited by 127 · see citing works
“Importantly, STS and media scholars now attend to data centers as the material base of cloud computing (e.g. Hogan 2015; Taylor 2019; Monserrate, 2022).”
BackgroundThe mechanisms of AI hype and its planetary and social costs
Markelius, A., Wright, C., Kuiper, J., Delille, N., & Kuo, Y.-T. (2024) · AI and Ethics · doi:10.1007/s43681-024-00461-2 · Cited by 101 · see citing works
“This infrastructure constitutes a vast network of interconnected components, encompassing human labour [52–54], substantial planetary resources [15, 51], and a complex framework of societal institutions.”
InfluentialValdivia, A. (2024) · Information Communication & Society · doi:10.1080/1369118x.2024.2420021 · Cited by 55 · see citing works
“As the previous case illustrates, data centres – which are considered a key aspect within the supply chains of AI – can also provoke other type of harms and resistance that are also connected to AI (Brodie & Velkova, 2021; Hogan, 2015; Lehuedé, 2022; Monserrate, 2022).”
The AI-mediated intimacy economy: a paradigm shift in digital interactions
Bozdağ, A. A. (2025) · AI & SOCIETY · doi:10.1007/s00146-024-02132-6 · Cited by 42 · see citing works
“The crucial role of human oversight in these systems underscores the importance of integrating environmental considerations into operational decisions to safeguard the future of technology and the environment (Monserrate 2022).”
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱
Bian, J., Wang, L., Ren, S., & Xu, J. (2024) · ACM International Conference on Future Energy Systems (e-Energy) · doi:10.1145/3632775.3661970 · Cited by 36 · see citing works
Hohman, F., Kery, M. B., Ren, D., & Moritz, D. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642109 · Cited by 27 · see citing works
Cugurullo, F., Caprotti, F., Day, J., Geoghegan, S., Lynch, C. R., Menga, F., Robinson, C., & Williams, J. (2025) · Urban Political Ecology · doi:10.1177/30497515251344495 · Cited by 27 · see citing works
“AI is often discussed in ways that obfuscate its materiality, but by examining the energy basis of urban AI we are faced inescapably with its tangibility, rooted as it is in real ecologies and fl ows (Monserrate, 2022).”
Power hungry: How AI will drive energy demand
Bogmans, C., Ganpurev, G., Gomez-Gonzalez, P., Melina, G., Pescatori, A., & Thube, S. (2026) · Energy Economics · doi:10.1016/j.eneco.2026.109278 · Cited by 26 · see citing works
“Monserrate (2022) details cloud computing’s ecological impacts in terms of water usage, electricity consumption, carbon emissions, noise pollution, and electronic waste.”
Corradi, M., Luechtefeld, T. H., de Haan, A. M., Pieters, R. H. H., Freedman, J. H., Vanhaecke, T., Vinken, M., & Teunis, M. (2024) · Frontiers in Toxicology · doi:10.3389/ftox.2024.1393662 · Cited by 21 · see citing works
“This has by extension a larger environmental impact (Monserrate, 2022).”
BackgroundJiang, Y., Roy, R. B., Kanakagiri, R., & Tiwari, D. (2025) · ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · doi:10.1145/3710848.3710891 · Cited by 17 · see citing works
Reducing Methodological Footprints in Qualitative Research
Koro‐Ljungberg, M., Wolgemuth, J. R., & Trinh, E. T. (2023) · Qualitative Inquiry · doi:10.1177/10778004231183944 · Cited by 16 · see citing works
Ryoo, J. J., & Blunt, T. (2024) · ACM Transactions on Computing Education · doi:10.1145/3660645 · Cited by 20 · see citing works
Monserrate, S. G. (2023) · New Media & Society · doi:10.1177/14614448221149938 · Cited by 13 · see citing works
“One such “carbon redemptive” measure is the harnessing of cold climates to facilitate data center cooling via a technique called “free cooling” (Gonzalez Monserrate, 2022; Johnson, 2019b; Vonderau, 2019).”
BackgroundSelf-citationFrom Exploration to End of Life: Unpacking Sustainability in Physicalization Practices
Morais, L., Panagiotidou, G., Hayes, S., Losev, T., Noonan, R., & Hinrichs, U. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642248 · Cited by 12 · see citing works
Enabling coastal analytics at planetary scale
Calkoen, F., Luijendijk, A. P., Vos, K., et al. (2024) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2024.106257 · Cited by 12 · see citing works
Eco-social foundations of capitalist value chains
Selwyn, B. (2025) · New Political Economy · doi:10.1080/13563467.2025.2531000 · Cited by 11 · see citing works
“It is estimated that the Cloud has a larger carbon footprint than the global airline industry (Monserrate 2022).”
Infrastructural justice for responsible software engineering,
Robinson, S., Buckley, J., Ciolfi, L., Linehan, C., McInerney, C., Nuseibeh, B., Twomey, J., Rauf, I., & McCarthy, J. (2024) · Journal of Responsible Technology · doi:10.1016/j.jrt.2024.100087 · Cited by 10 · see citing works
Ecological Thinking about the Metaverse from a Posthumanist Perspective
Liu, Y. (2023) · Critical Arts · doi:10.1080/02560046.2023.2276423 · Cited by 9 · see citing works
“However, inside the “cloud” are the coils of coaxial cables, fibre optic tubes, cellular towers, air conditioners, power distribution units, transformers, water pipes, and computer servers, all of which constitute natural resources that can be seen as ecological force (Monserrate 2022).”
Wild Swarms: Autonomous Drones for Environmental Monitoring and Protection
Saffre, F., Karvonen, H., & Hildmann, H. (2023) · Springer eBooks · doi:10.1007/978-3-031-44607-8_1 · Cited by 9 · see citing works
Qualitative research with LLM chatbots: Technological reflexivity for interpretative technology
Ibrahim, E. I., & Voyer, A. M. (2025) · Qualitative Research · doi:10.1177/14687941251390794 · Cited by 9 · see citing works
“Nelson ’ s (2020) computational grounded theory is a prime example of an approach that applies qualitative logic to computational analysis, where the focus is on using computational methods to assist in interpretation (see also Nelson, 2021, 2022).”
Artificial intelligence as primitive accumulation: enclosure, extraction, exploitation
Murdock, G. (2025) · Communication and Change · doi:10.1007/s44382-025-00004-1 · Cited by 7 · see citing works
The Emerging “Metaverse” and Its Implications for International Business
Balakrishnan, M. S., Mathana, Morrow, M. J., et al. (2024) · AIB Insights · doi:10.46697/001c.118572 · Cited by 7 · see citing works
Visual Artists, Technological Shock, and Generative AIPreprint
Jones, C. A., Gupta, H., & Ritchie, M. (2024) · doi:10.21428/e4baedd9.b4f754fd · Cited by 7 · see citing works
The greening of IT use: the impact of environmental concerns on the use of internet systems
Goethals, F., & Ziegelmayer, J. L. (2023) · Information Technology and People · doi:10.1108/itp-11-2021-0844 · Cited by 7 · see citing works
Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education
Mak, J., Nakatumba-Nabende, J., Clear, T., Clear, A., Abluwi, I., Andrei, O., Angeli, L., MacNeil, S., Oyelere, S. S., Hale Rattigan, M., et al. (2025) · Proceedings of the 2025 Working Group Reports on Innovation and Technology in Computer Science Education · doi:10.1145/3760545.3783975 · Cited by 12 · see citing works
Design for Digital Sufficiency: Understanding User Preferences for More Sustainable Data Centers
Gujral, H., Bremer, C., Perera, D., & Easterbrook, S. (2025) · ACM Journal on Computing and Sustainable Societies · doi:10.1145/3747188 · Cited by 5 · see citing works
The Cloud Conundrum: Are Financial Institutions Heading for a Catastrophic Disruption Event?
Ryan, M., Withers, G. A., & den Hartog, F. (2024) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2024.3462726 · Cited by 5 · see citing works
“Collectively, data centres consume approximately 200 terawatt hours (TWh) annually, surpassing the energy usage of some countries [43].”
Rodríguez-Almeida, A. J., Acosta, C. B., Wägner, A. M., Callicó, G. M., & Fabelo, H. A. (2025) · Sensors · doi:10.3390/s25154647 · Cited by 4 · see citing works
“Data generation would be three times lower for the same timeframe, so data storage (and its associated energetic and economic costs [59]) would be drastically decreased.”
Iandolo, F., Sala, A. L., Maielli, G., & Vito, P. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.103095 · Cited by 4 · see citing works
Taylor, A. R. E., & Vai, E. (2025) · Springer eBooks · doi:10.1007/978-3-031-88173-2_9 · Cited by 4 · see citing works
Evaluating the Social Impact of Generative AI Systems
Solaiman, I., Talat, Z., Agnew, W. S., Ahmad, L., Baker, D., Blodgett, S. L., Chen, C., Daumé, H., Dodge, J., Duan, I., et al. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198940272.013.0025 · Cited by 5 · see citing works
Enter the Crone: Wisdom and the (Ageing) Female Body
Clack, B. (2023) · Feminist Theology · doi:10.1177/09667350231208145 · Cited by 4 · see citing works
“The image conjured up by the language of ‘clouds’ is misleading, for, as Monserrate (2022) details, this ‘Cloud’ has a greater carbon footprint than even the airline industry (p. 7).”
BackgroundFostering IoT Repair Through Care: Learning from Emotional Durable Gaming Practices and Communities
Owen, V., Stead, M., & Coulton, P. (2024) · Designing Interactive Systems Conference · doi:10.1145/3656156.3663702 · Cited by 4 · see citing works
“The potential harms IoT products pose [5, 17] are further compounded by the way most IoT devices are designed to operate seamlessly and inconspicuously as part of our everyday lives, in keeping with ubiquitous computing ideals [18].”
Clinical Applications of Artificial Intelligence in Neurology Practice
Hadar, P., & Moura, L. M. V. R. (2025) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/cont.0000000000001552 · Cited by 4 · see citing works
Hammar, E. L., Jong, C., & Despland-Lichtert, J. (2023) · Eludamos Journal for Computer Game Culture · doi:10.7557/23.7109 · Cited by 6 · see citing works
A Spectrum of Inclusion: Climate and Environmental Justice Teaching in a Technical Context
Rabe, C., Schlegel, M., Reich, J., Mclean, A., Girand, O., Webster, C., & Araujo-Elorza, S. (2025) · Journal of Environmental Studies and Sciences · doi:10.1007/s13412-025-01031-6 · Cited by 3 · see citing works
Wetzl, C., Soukarié, D., Elosua, J. Y., & Santiago, I. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c06554 · Cited by 3 · see citing works
“5,6 The employment of innovative storage media such as phase-change materials, 7 liquid memory, 8 nanostructured glass, 9 and 2D materials 10 exhibited promising performances for the development of next-generation storage systems.”
Fredengren, C., Ewing, A., Owman, C., et al. (2025) · Museum and Society · doi:10.29311/mas.v23i1.4698 · Cited by 3 · see citing works
Tahir, A., Chen, F., Almazroi, A. A., et al. (2023) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2023.101672 · Cited by 3 · see citing works
Technology education for sustainable development– a scoping review
Andersen, L. B., Frydendahl, A. J., Lisborg, S., Jensen, J. J., Laursen, J. D., Mørkeberg, C. J. P. W. S., Nielsen, C. B., & Schrøder, V. (2025) · International Journal of Technology and Design Education · doi:10.1007/s10798-025-10043-w · Cited by 6 · see citing works
“…are heavily criticised for being unsustainable in their own energy and resource consumption, the global division of labour on which they rest and their impact on the welfare and wellbeing of individuals and democratic societies more generally (Añón Higón et al., 2017 ; Monserrate, 2022).”
Ethics, generative AI and science communication
Feldman, H. R., Medvecky, F., & Riedlinger, M. E. (2025) · Public Understanding of Science · doi:10.1177/09636625251393621 · Cited by 2 · see citing works
“These systems inevitably require mining of rare earth metals, and power resourcing at all stages, as well as significant water consumption to cool and enable computing resources of ‘the cloud’ (Monserrate, 2022; Monstadt and Saltzman, 2025).”
On creative practice and generative AI
Vidmar, M., Hemment, D., Murray-Rust, D., & Black, S. (2024) · Routledge eBooks · doi:10.4324/9781003365891-9 · Cited by 2 · see citing works
AI Hub in Latin America Skyrockets Water Crises
Malamud, M. (2024) · Middle Atlantic Review of Latin American Studies · doi:10.23870/marlas.467 · Cited by 2 · see citing works
Impacts of Digitization: Assessing the Greenhouse Gas Emissions of Digital Initiatives
Bonsignore, A. (2024) · Springer eBooks · doi:10.1007/978-3-031-58795-5_17 · Cited by 2 · see citing works
Priorities for net-zero web services
Arora, M., McClenaghan, I., & Wozniak, L. (2024) · Nature Electronics · doi:10.1038/s41928-024-01227-8 · Cited by 2 · see citing works
Snails, time, data: On the politics of mass-digitization and the possibility of data drift
Hopman, R. (2024) · Big Data & Society · doi:10.1177/20539517241267760 · Cited by 2 · see citing works
“” Of course, the server space required to store these data must in addition be maintained and paid for, and data storage is not without its own environmental impacts (Monserrate, 2022).”
Time's Sublimest Target: Practices of Forgetting in HCI and CSCW
Ankenbauer, S. A., & Brewer, R. N. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3701211 · Cited by 2 · see citing works
Yamada‐Rice, D., & Dare, E. (2025) · Global Studies of Childhood · doi:10.1177/20436106251361166 · Cited by 2 · see citing works
“…problems associated with this context, not least in assuming a digital solution and in using Cloud-based technologies calling the Cloud a ‘carnivore’, Monserrate (2022) writes: To get at the matter of the Cloud we must unravel the coils of coaxial cables, fiber optic tubes, cellular towers, air…”
Energy-Efficient Integrated Photonics for Future Optical Interconnects and Neuromorphic Computing
Cheung, S. S., Liang, D., Tossoun, B. M., Yuan, Y., Kurczveil, G., Hu, Y., Descos, A., Peng, Y., Srinivasan, S., & Beausoleil, R. G. (2023) · IEEE CPMT Symposium Japan (ICSJ) · doi:10.1109/icsj59341.2023.10339591 · Cited by 2 · see citing works
Parra, H. Z. M., & Moraes, A. (2024) · Mediações Revista de Ciências Sociais · doi:10.5433/2176-6665.2024v29n2e51043 · Cited by 1 · see citing works
Denaturalizing computation: On the Cloud’s terraforming logics
Monserrate, S. G. (2024) · Journal of Environmental Media · doi:10.1386/jem_00134_1 · Cited by 1 · see citing works
Self-citationDeleting and sorting files is beneficial – But only when you fully let go
Göbel, K., & Niessen, C. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100646 · Cited by 1 · see citing works
E-litter: Nudging Email Usage Behavior One Byte at a Time MHCI007
Siy, C. M., Do, G., Jung, K., Lee, K. H., & Kim, J. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3744198 · Cited by 1 · see citing works
Whither Chat-GPT: Generative AI and Teaching Introduction to Human Geography in Higher Education
Gerlowski, L., Ramachandran, V., & Loyd, J. M. (2025) · Journal of Geography · doi:10.1080/00221341.2025.2575513 · Cited by 1 · see citing works
“For example, the physical and material supply chains of AI systems, including data centers, mineral extraction, and energy usage, have detrimental impacts on the environment and ecological systems (Monserrate 2022; Valdivia 2024).”
A Call for the Scientific Community to Adopt Environmental, Social and Governance Principles
Luykx, J. J., & Burchi, E. (2025) · Anthropocene Science · doi:10.1007/s44177-025-00105-y · Cited by 1 · see citing works
The creative economy and the triple transition
Pratt, A. C. (2026) · Frontiers in Communication · doi:10.3389/fcomm.2025.1745182 · Cited by 1 · see citing works
“While some centres are powered by renewables, many are powered by older coal and gas-fuelled power plants (Monserrate, 2022).”
Kudina, O., van Uffelen, N., Lauwaert, L., & Landuyt, W. (2026) · AI & Society · doi:10.1007/s00146-026-02910-4 · Cited by 1 · see citing works
“…to explore the sustainability of AI, i.e., the environmental impacts of AI itself, is a recent one (Brevini 2020; Coeckelbergh 2021; Crawford 2021; Monserrate 2022; Van Wynsberghe 2021), urging to ground and materialize AI in the earth extraction practices, complex and environmentally tolling…”
Bostanci, Y., Toussard, L., Bonnefoy, B., & Meyer, T. (2026) · Current Research in Ecological and Social Psychology · doi:10.1016/j.cresp.2026.100273 · Cited by 1 · see citing works
Ponso, A., Bonfitto, A., Amati, N., et al. (2026) · Automotive Innovation · doi:10.1007/s42154-025-00411-6 · Cited by 1 · see citing works
Dunlap, A., & Edwards, N. (2026) · Geopolitics · doi:10.1080/14650045.2026.2678945 · Cited by 1 · see citing works
Griffin, A. S., Kelly, O. W., Johns, E., Chalup, S. K., Callen, A., Southwell, D. M., Hayward, M. W., & Sims, Y. (2026) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.70333 · Cited by 1 · see citing works
“While cloud storage is increasingly accessible and less costly, uploading large amounts of data across a network is time-consuming and storage requires substantial power, drawing concern about CO 2 generation and climate change (Monserrate, 2022 ).”
Rafael, S., & Reis, M. (2023) · Springer series in design and innovation · doi:10.1007/978-3-031-47281-7_21 · Cited by 1 · see citing works
Malakar, S., Banerjee, N., & Prasad, D. K. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.109540 · Cited by 1 · see citing works
Scheffler, R. W. (2025) · Journal of the History of Biology · doi:10.1007/s10739-025-09806-x · Cited by 1 · see citing works
“…to make maintenance rather than innovation or invention an appropriate target for study by historians of technology (Ensmenger 2018; Vinsel 2021; Monserrate 2022). and the promises of wealth from new biotechnological innovations, drew politi‑ cians, investors, bankers, and citizens into an…”
Remodeling Environments: Anthropological Perspectives on the Limits of Computational Models
Littlejohn, A., Boy, J. D., Musso, F. D., et al. (2022) · doi:10.21428/bf6fb269.078f61f9 · Cited by 1 · see citing works
Small-Group Teaching: Should It Be Recorded?
Crook, P., Javadzadeh, S., Shone, R., et al. (2023) · Medical Science Educator · doi:10.1007/s40670-023-01837-5 · Cited by 1 · see citing works
“2 Graph showing reported comfort during the unrecorded (first) and recorded (second) halves of the session with online data storage, in large part due to the cooling requirements for servers in large data centres [19].”
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(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-010
From the Waterwolf to the Sand Motor
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-002
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-004
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-008
Chapter Two. Flipping the Ship
Helmreich, S. (2023) · Duke University Press eBooks · doi:10.1215/9781478024538-006
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-001
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-007
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-003
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-015
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-009
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-012
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-013
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-011
Wave Navigation, Sea of Islands
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-005
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-018
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-017
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-019
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-016
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-014
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-020
(2023) · Duke University Press eBooks · doi:10.1215/9781478024538-021
de Castro, V. B., Coelho, H., & Frambach, D. B. (2023) · Coolabah · doi:10.1344/co20233491-111
Sufficient Use of the Cloud for Work: Practitioners' Perception and Potential for Energy Saving
Rahman, M. N., Madon, M., & Lago, P. (2024) · International Conference on ICT for Sustainability (ICT4S) · doi:10.1109/ict4s64576.2024.00038
“According to a study on the environmental impacts of data storage and computation, a single data center can consume the same amount of electricity as 50,000 homes [7].”
Wang, E., Berthon, P. R., & Su, Y. (2024) · Springer eBooks · doi:10.1007/978-3-031-72676-7_7
Rafael, S., & Mirmotahari, S. M. (2024) · Springer series in design and innovation · doi:10.1007/978-3-031-76156-0_1
Unsettling the Status Quo: Embedding Environmental Justice in Tech-Centered Environmental Education
Paul, S., Rabe, C., & Minns, C. (2025) · Contingencies · doi:10.33682/m5rv-sg6e
A Sense of Direction: Rhetoric, Energy, and Infrastructure
Hopkins, H. R. (2025) · Rhetoric Society Quarterly · doi:10.1080/02773945.2024.2427412
An ecologically just future for personal digital heritage: three guiding statements
Miedema, M., Aasman, S., Beaulieu, A., & Sauer, S. (2025) · Archival Science · doi:10.1007/s10502-025-09481-1
“Research in environmental media work is indebted to feminist (media) studies, critical data studies, and science and technology studies and leaves room for artistic and activist interventions (Hogan 2018; Monserrate 2022; Pasek et al. 2023a).”
Moran‐Thomas, A. (2025) · American Anthropologist · doi:10.1111/aman.28075
Mind the Gap. On archival politics and historical theory in the digital age
Goran, G. (2025) · Rethinking History · doi:10.1080/13642529.2025.2545029
AI x Crisis: Tracing New Directions beyond Deployment and Use
Yang, T., Chandhiramowuli, S., Heim, J., Wagner, C. S., Posada, J., Taylor, A. S., Grohmann, R., & Miceli, M. (2025) · Decennial Aarhus Conference · doi:10.1145/3737609.3747096
“…infrastructures of computing recognizes the materiality of computation and AI, including cables [24], data centers [11], and cloud infrastructures [18], and reveals the implications of tech giants’ dominance and control over critical AI infrastructure, such as economic centralization, smaller…”
- Authors
- Monserrate, S. G.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Monserrate, Steven Gonzalez
- Venue
- MIT Case Studies in Social and Ethical Responsibilities of Computing
- Publisher
- PubPub
- Published
- 2022-01-27
- Issue
- Winter 2022
- OpenAlex
- W4210572958
- Semantic Scholar
- ac4d11f3e5762aa84373f465ed807324c526161c
- Cited by
- 145
- References
- 45
- Citations by year
- 2026: 47 · 2025: 34 · 2024: 27 · 2023: 35 · 2022: 2
- FWCI
- 6.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-sa
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- cloud computing, data centers, CO2 emissions, climate change, thermal management, water consumption, e-waste disposal, organizational culture, Anthropocene, IT infrastructure
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