The LIMITS workshop concerns the role of computing in human societies situated in a world of limits, such as limits of extractive logics, limits to a biosphere’s ability to recover, limits to our knowledge, or limits to technological solutions to societal issues. As an interdisciplinary group of researchers, practitioners, and scholars, we seek to reshape the computing research agenda, grounded by an awareness that contemporary computing research is intertwined with ecological limits in general, and climate- and climate justice-related limits in particular. LIMITS 2025 solicits submissions that move us closer towards computing that supports diverse human and non-human lifeforms and thriving biospheres.
LIMITS 2026 -- Workshop on Computing within Limits
LIMITS concerns the role of computing in human societies situated in a world of planetary boundaries and limits, such as limits of extractive logics, limits to a biosphere’s ability to recover, limits to our knowledge, or limits of technological solutions to societal issues. As an interdisciplinary group of researchers, practitioners, and scholars, we seek to reshape and orient the broader computing research agenda, grounded by an awareness that contemporary computing research is embedded in finite socio-ecological conditions and must reckon with with ecological limits in general, and climate- and climate justice-related limits in particular. LIMITS 2026 solicits submissions that move us closer towards computing that supports ecological and just futures for diverse human and non-human lifeforms and thriving biospheres.
Insolvent: How to Reorient Computing for Just Sustainability
How we can enact meaningful change in computing to meet the urgent need for sustainability and justice.The deep entanglement of information technology with
Grand Challenges for the Convergence of Computational and Citizen Science Research Workshop Report
This report is an outcome of a Computing Community Consortium (CCC) visioning workshop on Grand Challenges for the Convergence of Computational and Citizen Science Research conducted on April 8-9, 2025, in Washington, D.C. as well as through several precursor virtual input-gathering sessions. These events brought together experts across relevant disciplines to develop a research agenda that brings to fruition the above vision on how humans and machines may team up to solve some of the world's most pressing scientific problems. Citizen science delivers measurable economic and national value. Public participation in scientific research generates millions of dollars in volunteer labor value, extends government agency capacity, and directly supports federal priorities in areas such as disaster management, public health, water, energy, workforce development, and many more. At the same time, 21st-century scientific infrastructure requirements for citizen science (from hardware and cyberinfrastructure to data and computational frameworks) mirror those for computational science more generally. The distributed, collaborative, long-term, and contextual nature of citizen science makes it a demanding real-world use case for a novel robust research infrastructure that accounts for security, privacy, resource adaptability, and transparency. In this report, we outline the key findings, future research directions, and recommendations that emerged from the April 2025 CCC Grand Challenges for the Convergence of Computational and Citizen Science Research Workshop.
Redefining our needs: Permacomputing and Vernacular computing
How to ensure an increasing focus on sustainability in computing?
Incomputable Earth: Technology and the Anthropocene Hypothesis
This open access collection argues that climate breakdown represents an irreducibly incomputable problem that cannot be resolved through algorithmic optimization or cybernetic planetary management.
Digital Degrowth: Radically Rethinking our Digital Futures
We are fast approaching the point of “peak digital”, with the continued mass production and excessive consumption of digital technologies set to become a key driver of climate crisis, ecological breakdown and ongoing societal instability.<br /> <br /><i>Digital Degrowth</i> is a call to completely rethink our digital futures in these fast-changing times. It explores how degrowth thinking and alternate forms of “radically sustainable computing” might support ambitions of sustainable, scaled-down and equitable ways of living with digital technologies. Neil Selwyn proposes a rebalancing of digital technology use: digital degrowth is not a call for simply making reduced use of the digital technologies that we already have – rather it is an argument to reimagine digital practices that maximise societal benefits with minimal environmental and social impact. Drawing on illustrative examples from across computer science, hacker and environmental activist communities, this book examines how core degrowth principles of conviviality, autonomy and care are already being used to reimagine alternate forms of digital technology.<br /> <br />Original and stimulating, this is essential reading for students and scholars of media and communication, sustainability studies, political ecology, computer/data sciences, and across the social sciences.
Qualitative Research in an Era of Artificial Intelligence: A Pragmatic Approach to Data Analysis, Workflow, and Computation
Computational developments—particularly artificial intelligence—are reshaping social scientific research and raising new questions for in-depth methods such as ethnography and qualitative interviewing. Building on classic debates about computers in qualitative data analysis, we revisit possibilities and dangers in an era of automation, large language model chatbots, and big data. We introduce a typology of contemporary approaches to using computers in qualitative research: streamlining workflows, scaling up projects, hybrid analytical methods, the sociology of computation, and technological rejection. Drawing from scaled team ethnographies and solo research integrating computational social science alongside in-depth observation, we describe methodological choices across study life cycles, from literature reviews through data collection, coding, text retrieval, and representation. We argue that new technologies hold potential to address long-standing methodological challenges when deployed with knowledge, purpose, and ethical commitment. Yet, a pragmatic approach—moving beyond technological optimism and dismissal—is essential given rapidly changing tools that are both generative and dangerous. Computation now saturates research infrastructure, from algorithmic literature searches to scholarly metrics, making computational literacy a core methodological competence in and beyond sociology. We conclude that when used carefully and transparently, contemporary computational tools can meaningfully expand, rather than displace, the irreducible insights of qualitative research.
Systems of Global Governance in the Era of Human-Machine Convergence
Technology is increasingly shaping our social structures and is becoming a driving force in altering human biology. Besides, human activities already proved to have a significant impact on the Earth system which in turn generates complex feedback loops between social and ecological systems. Furthermore, since our species evolved relatively fast from small groups of hunter-gatherers to large and technology-intensive urban agglomerations, it is not a surprise that the major institutions of human society are no longer fit to cope with the present complexity. In this note we draw foundational parallelisms between neurophysiological systems and ICT-enabled social systems, discussing how frameworks rooted in biology and physics could provide heuristic value in the design of evolutionary systems relevant to politics and economics. In this regard we highlight how the governance of emerging technology (i.e. nanotechnology, biotechnology, information technology, and cognitive science), and the one of climate change both presently confront us with a number of connected challenges. In particular: historically high level of inequality; the co-existence of growing multipolar cultural systems in an unprecedentedly connected world; the unlikely reaching of the institutional agreements required to deviate abnormal trajectories of development. We argue that wise general solutions to such interrelated issues should embed the deep understanding of how to elicit mutual incentives in the socio-economic subsystems of Earth system in order to jointly concur to a global utility function (e.g. avoiding the reach of planetary boundaries and widespread social unrest). We leave some open questions on how techno-social systems can effectively learn and adapt with respect to our understanding of geopolitical complexity.
The Staggering Ecological Impacts of Computation and the Cloud
Anthropologist Steven Gonzalez Monserrate draws on five years of research and ethnographic fieldwork in server farms to illustrate some of the diverse environmental impacts of data storage.
Home - ClimateAction.Tech
The climate crisis is happening all around us. As tech workers, we can use our skills to take and accelerate climate action.
Knowledge infrastructures for the Anthropocene
The technosphere metabolizes not only energy and materials, but information and knowledge as well. This article first examines the history of knowledge about large-scale, long-term, anthropogenic environmental change. In the 19th and 20th centuries, major systems were built for monitoring both the environment and human activity of all kinds, for modeling geophysical processes such as climate change, and for preserving and refining scientific memory, i.e. data about the planetary past. Despite many failures, these knowledge infrastructures also helped achieve notable successes such as the Limited Test Ban Treaty of 1963, the ozone depletion accords of the 1980s, and the Paris Agreement on climate change of 2015. The article’s second part proposes that knowledge infrastructures for the Anthropocene might not only monitor and model the technosphere’s metabolism of energy, materials and information, but also integrate those techniques with new accounting practices aimed at sustainability. Scientific examples include remarkable recent work on long-term socio-ecological research, and the assessment reports of the Intergovernmental Panel on Climate Change. In terms of practical knowledge, one key to effective accounting may be ‘recycling’ of the vast amounts of ‘waste’ data created by virtually all online systems today. Examples include dramatic environmental efficiency gains by Ikea and United Parcel Service, through improved logistics, self-provision of renewable energy, and feedback from close monitoring of delivery trucks. Blending social ‘data exhaust’ with physical and environmental information, an environmentally focused logistics might trim away excess energy and materials in production, find new ways to re-use or recycle waste, and generate new ideas for eliminating toxic byproducts, greenhouse gas emissions and other metabolites.
Knowledge infrastructures for the Anthropocene
The technosphere metabolizes not only energy and materials, but information and knowledge as well. This article first examines the history of knowledge about large-scale, long-term, anthropogenic environmental change. In the 19th and 20th centuries, major systems were built for monitoring both the environment and human activity of all kinds, for modeling geophysical processes such as climate change, and for preserving and refining scientific memory, i.e. data about the planetary past. Despite many failures, these knowledge infrastructures also helped achieve notable successes such as the Limited Test Ban Treaty of 1963, the ozone depletion accords of the 1980s, and the Paris Agreement on climate change of 2015. The article’s second part proposes that knowledge infrastructures for the Anthropocene might not only monitor and model the technosphere’s metabolism of energy, materials and information, but also integrate those techniques with new accounting practices aimed at sustainability. Scientific examples include remarkable recent work on long-term socio-ecological research, and the assessment reports of the Intergovernmental Panel on Climate Change. In terms of practical knowledge, one key to effective accounting may be ‘recycling’ of the vast amounts of ‘waste’ data created by virtually all online systems today. Examples include dramatic environmental efficiency gains by Ikea and United Parcel Service, through improved logistics, self-provision of renewable energy, and feedback from close monitoring of delivery trucks. Blending social ‘data exhaust’ with physical and environmental information, an environmentally focused logistics might trim away excess energy and materials in production, find new ways to re-use or recycle waste, and generate new ideas for eliminating toxic byproducts, greenhouse gas emissions and other metabolites.
Google’s exponential path to climate-wrecking digital bloat
Google’s latest report reveals a completely unprecedented rise in energy consumption – more than any of us expected. Generative AI is a climate carbon bomb.
Atmospheric Computing Research Proposal
Atmospheric computing research proposal exploring interconnected computing islands and cloud infrastructures enabled by open social protocols.
BBC Earth | Environment, Climate Change, AI, Food, Health, Social, & Technology
As we face the world’s greatest environmental challenges, BBC Earth brings you solutions in psychology, food, climate change, health, social trends, and technology that can make the world a more sustainable place.
"The convergence of computational and citizen science research represents a generational opportunity to reimagine how we conduct research, involve the public, and deliver scientific value to society."
Grand Challenges for the Convergence of Computational and Citizen Science Research Workshop Report
arxiv.org