Overview over the first decade of LIMITS
- URL: http://arxiv.org/abs/2605.30543v1
- Date: Thu, 28 May 2026 20:20:52 GMT
- Title: Overview over the first decade of LIMITS
- Abstract summary: LIMITS workshop has served as a central venue for this community since its inception in 2015, but an overview of the research published there has yet to be described.<n>Our findings indicate that the field has increasingly mentioned degrowth and post-growth, especially in 2024-2025.<n>The majority of papers are positional or observational, while artifact-producing research remains relatively scarce, though solution-oriented output has grown in recent years.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Computing within limits is a promising field, that follows principles of a) questioning endless growth narrative, b) considering and preparing for models of scarcity and c) reducing energy and material consumption, while considering d) a global spatial scale and e) long time frames. With computing's environmental impact growing and ecological limits becoming increasingly pressing, the LIMITS workshop has served as a central venue for this community since its inception in 2015, but an overview of the research published there has yet to be described. This paper addresses this gap by analyzing 160 publications from the LIMITS workshop in the period 2015 to 2025 to identify its international spread, contributions and developments in relation to field's core concerns, combining programmatic analysis with a manual review. Our findings indicate that the field has increasingly mentioned degrowth and post-growth, especially in 2024-2025. It has broadened its global perspective, with a growing, but still limited, representation of work beyond the Global North. The majority of papers are positional or observational, while artifact-producing research remains relatively scarce, though solution-oriented output has grown in recent years. This paper contributes to the LIMITS community by mapping its first decade and current trends to support future research and enhance its global impact.
Related papers
- Proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026) [6.164532433463699]
This volume contains the proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026)<n>LOCO 2026 was held at Lancaster University, United Kingdom, on 10-11 September 2026.<n>Papers were evaluated through a non-blind peer-review process by members of the LOCO 2026 Programme Committee.
arXiv Detail & Related papers (2026-08-03T11:18:27Z) - Counting own goals: High-level assessment of the economic relationship between the ICT and the Oil and Gas sectors and its environmental implications [0.0]
The ICT sector has been one of the most successful and fastest-growing industries in history.<n>This article lays the groundwork for defining the nature of the relationship between ICT and the Oil and Gas sector.<n>In 2022, for each dollar going from the ICT sector to the renewable and nuclear energy industry, more than $4 go to the O&G industry.
arXiv Detail & Related papers (2026-04-29T11:11:15Z) - The Sustainability Gap in Robotics: A Large-Scale Survey of Sustainability Awareness in 50,000 Research Articles [5.754492211735503]
This study covers nearly 50,000 open-access papers from arXiv's cs.RO category published between 2015 and 2026.<n>We quantify how often papers mention social, ecological, and sustainability impacts.<n>The results reveal a persistent gap between the field's potential and its stated intent.
arXiv Detail & Related papers (2026-04-09T07:41:49Z) - Paper Espresso: From Paper Overload to Research Insight [53.45135239997754]
We present Paper Espresso, an open-source platform that automatically discovers, summarizes, and analyzes trending arXiv papers.<n>The system uses large language models (LLMs) to generate structured summaries with topical labels and keywords.<n>Over 35 months of continuous deployment, Paper Espresso has processed over 13,300 papers and publicly released all structured metadata.
arXiv Detail & Related papers (2026-04-06T09:45:21Z) - A Data-Driven Analysis for Engineering Conferences: The Institute of Industrial and Systems Engineering (IISE) Annual Conference Proceedings (2002-2025) [0.0]
This paper presents a computational analysis of IISE proceedings from 2002 to 2025.<n>We map thematic evolution to identify dominant, emerging, and receding research topics.<n>The findings illuminate the field's intellectual assets and provide a data-informed map to guide the future of ISE.
arXiv Detail & Related papers (2026-02-28T01:10:46Z) - Real Deep Research for AI, Robotics and Beyond [85.87181330763548]
We present Real Deep Research (RDR) a comprehensive framework applied to the domains of AI and robotics.<n>The main paper details the construction of the RDR pipeline, while the appendix provides extensive results across each analyzed topic.
arXiv Detail & Related papers (2025-10-23T17:59:05Z) - LCA and energy efficiency in buildings: mapping more than twenty years of research [0.0]
This article reviews more than twenty years of research on Life Cycle Assessment (LCA)
The authors identify seven key thematic groups, building and sustainability clusters (BSCs)
The major research topics mainly relate to building materials and energy efficiency.
The article also provides insights into emerging and underdeveloped themes, outlining crucial future research directions.
arXiv Detail & Related papers (2024-08-23T08:43:25Z) - SMP Challenge: An Overview and Analysis of Social Media Prediction Challenge [63.311045291016555]
Social Media Popularity Prediction (SMPP) is a crucial task that involves automatically predicting future popularity values of online posts.
This paper summarizes the challenging task, data, and research progress.
arXiv Detail & Related papers (2024-05-17T02:36:14Z) - Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models [52.24001776263608]
This comprehensive survey delves into the recent strides in HS moderation.
We highlight the burgeoning role of large language models (LLMs) and large multimodal models (LMMs)
We identify existing gaps in research, particularly in the context of underrepresented languages and cultures.
arXiv Detail & Related papers (2024-01-30T03:51:44Z) - FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather
Forecasting [56.73502043159699]
This work presents FengWu-GHR, the first data-driven global weather forecasting model running at the 0.09$circ$ horizontal resolution.
It introduces a novel approach that opens the door for operating ML-based high-resolution forecasts by inheriting prior knowledge from a low-resolution model.
The hindcast of weather prediction in 2022 indicates that FengWu-GHR is superior to the IFS-HRES.
arXiv Detail & Related papers (2024-01-28T13:23:25Z) - Fairness in Recommender Systems: Research Landscape and Future
Directions [119.67643184567623]
We review the concepts and notions of fairness that were put forward in the area in the recent past.
We present an overview of how research in this field is currently operationalized.
Overall, our analysis of recent works points to certain research gaps.
arXiv Detail & Related papers (2022-05-23T08:34:25Z) - Analyzing Sustainability Reports Using Natural Language Processing [68.8204255655161]
In recent years, companies have increasingly been aiming to both mitigate their environmental impact and adapt to the changing climate context.
This is reported via increasingly exhaustive reports, which cover many types of climate risks and exposures under the umbrella of Environmental, Social, and Governance (ESG)
We present this tool and the methodology that we used to develop it in the present article.
arXiv Detail & Related papers (2020-11-03T21:22:42Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.