Tootfinder

Economic Complexity Alignment and Sustainable Development
Quinten De Wettinck, Karolien De Bruyne, Wouter Bam, C\'esar A. Hidalgo
https://arxiv.org/abs/2509.17919 https://…

Economic Complexity Alignment and Sustainable Development
Economic complexity has been linked to sustainability outcomes, such as income inequality and greenhouse gas emissions. Yet, it is unclear whether the pursuit of complex and/or related activities naturally aligns with these outcomes, or whether meeting sustainability goals requires policy interventions that pursue unrelated diversification. Here, we exploit multidimensional social and environmental sustainability indicators to quantify the alignment between a country's closest diversification o…

How Digital Transformation Impacts Corporate Green Innovation?
Chen Hanqin
https://arxiv.org/abs/2509.16260 https://arxiv.org/pdf/2509.16260

How Digital Transformation Impacts Corporate Green Innovation?
Digitalization is a crucial characteristic of the current era, and green innovation has become one of the necessary pathways for enterprises to achieve sustainable development. Based on financial and annual report data of Chinese A-share listed companies from 2010 to 2019, this paper constructs indicators of corporate digital transformation and examines the impact of corporate digital transformation on green innovation and its underlying mechanisms. The results show that corporate digital trans…

Computational Intelligence based Land-use Allocation Approaches for Mixed Use Areas
Sabab Aosaf, Muhammad Ali Nayeem, Afsana Haque, M Sohel Rahmana
https://arxiv.org/abs/2508.15240

Computational Intelligence based Land-use Allocation Approaches for Mixed Use Areas
Urban land-use allocation represents a complex multi-objective optimization problem critical for sustainable urban development policy. This paper presents novel computational intelligence approaches for optimizing land-use allocation in mixed-use areas, addressing inherent trade-offs between land-use compatibility and economic objectives. We develop multiple optimization algorithms, including custom variants integrating differential evolution with multi-objective genetic algorithms. Key contrib…

QUPER-MAn: Benchmark-Guided Target Setting for Maintainability Requirements
Markus Borg, Martin Larsson, Philip Breid, Nadim Hagatulah
https://arxiv.org/abs/2508.15512 https://

QUPER-MAn: Benchmark-Guided Target Setting for Maintainability Requirements
Maintainable source code is essential for sustainable development in any software organization. Unfortunately, many studies show that maintainability often receives less attention than its importance warrants. We argue that requirements engineering can address this gap the problem by fostering discussions and setting appropriate targets in a responsible manner. In this preliminary work, we conducted an exploratory study of industry practices related to requirements engineering for maintainabili…

@… Perhaps of interest?
https://www.islandinnovation.co/events/virtual-island-summit-2025#speakers-page-1…

Island Innovation - Sustainable Development for Islands Worldwide
Island Innovation is a leading consultancy specializing in sustainable development, climate resilience, and innovation for island communities worldwide.

Identifying Key Features for Establishing Sustainable Agro-Tourism Centre: A Data Driven Approach
Alka Gadakh, Vidya Kumbhar, Sonal Khosla, Kumar Karunendra
https://arxiv.org/abs/2509.09214

Identifying Key Features for Establishing Sustainable Agro-Tourism Centre: A Data Driven Approach
Agro-tourism serves as a strategic economic model designed to facilitate rural development by diversifying income streams for local communities like farmers while promoting the conservation of indigenous cultural heritage and traditional agricultural practices. As a very booming subdomain of tourism, there is a need to study the strategies for the growth of Agro-tourism in detail. The current study has identified the important indicators for the growth and enhancement of agro-tourism. The study…

Cylindrical RIS-Assisted Low-Complexity Transmission with Differentiated Visible Regions Exploiting Statistical CSI
Wenjun Teng, Weicong Chen, Yiping Zuo, Wankai Tang, Shi Jin
https://arxiv.org/abs/2508.12229

Cylindrical RIS-Assisted Low-Complexity Transmission with Differentiated Visible Regions Exploiting Statistical CSI
Reconfigurable intelligent surfaces (RIS), recognized as a critical enabler for 6G networks, exhibit unprecedented capabilities in electromagnetic wave manipulation and wireless channel reconfiguration. By leveraging existing network infrastructure, RIS can cost-effectively create signal hotspots in low-altitude environments, ensuring robust connectivity to support the sustainable development of the low-altitude economy. However, achieving optimal phase shift design in multi-user scenarios face…

Privacy-Driven Network Data for Smart Cities
T\^ania Carvalho, Jos\'e Barata, Henish Balu, Filipa Moreira, Jo\~ao Bastos, Lu\'is Antunes
https://arxiv.org/abs/2509.12403

Privacy-Driven Network Data for Smart Cities
A smart city is essential for sustainable urban development. In addition to citizen engagement, a smart city enables connected infrastructure, data-driven decision making and smart mobility. For most of these features, network data plays a critical role, particularly from public Wi-Fi infrastructures, where cities can benefit from optimized services such as public transport management and the safety and efficiency of large events. One of the biggest concerns in developing a smart city is using …

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models
Grazia Sveva Ascione, Nicol\`o Tamagnone
https://arxiv.org/abs/2509.09303

From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models
Classifying patents by their relevance to the UN Sustainable Development Goals (SDGs) is crucial for tracking how innovation addresses global challenges. However, the absence of a large, labeled dataset limits the use of supervised learning. Existing methods, such as keyword searches, transfer learning, and citation-based heuristics, lack scalability and generalizability. This paper frames patent-to-SDG classification as a weak supervision problem, using citations from patents to SDG-tagged sci…

SEER: Sustainability Enhanced Engineering of Software Requirements
Mandira Roy, Novarun Deb, Nabendu Chaki, Agostino Cortesi
https://arxiv.org/abs/2510.08981 https://

SEER: Sustainability Enhanced Engineering of Software Requirements
The rapid expansion of software development has significant environmental, technical, social, and economic impacts. Achieving the United Nations Sustainable Development Goals by 2030 compels developers to adopt sustainable practices. Existing methods mostly offer high-level guidelines, which are time-consuming to implement and rely on team adaptability. Moreover, they focus on design or implementation, while sustainability assessment should start at the requirements engineering phase. In this p…

Exploring the interplay between Planetary Boundaries and Sustainable Development Goals using Large Language Models
Lamyae Rhomrasi, Pilar Manch\'on, Ricardo Vinuesa, Francesco Fuso-Nerini, J. Alberto Conejero, Javier Garc\'ia-Mart\'inez, Sergio Hoyas
https://arxiv.org/abs/2509.02638

Exploring the interplay between Planetary Boundaries and Sustainable Development Goals using Large Language Models
By analyzing 40,037 climate articles using Large Language Models (LLMs), we identified interactions between Planetary Boundaries (PBs) and Sustainable Development Goals (SDGs). An automated reasoner distinguished true trade-offs (SDG progress harming PBs) and synergies (mutual reinforcement) from double positives and negatives (shared drivers). Results show 21.1% true trade-offs, 28.3% synergies, and 19.5% neutral interactions, with the remainder being double positive or negative. Key findings …

Swarm Intelligence for Chemical Reaction Optimisation
R\'emi Schlama, Joshua W. Sin, Ryan P. Burwood, Kurt P\"untener, Raphael Bigler, Philippe Schwaller
https://arxiv.org/abs/2509.11798

Swarm Intelligence for Chemical Reaction Optimisation
Chemical reaction optimisation is essential for synthetic chemistry and pharmaceutical development, demanding the extensive exploration of many reaction parameters to achieve efficient and sustainable processes. We report $α$-PSO, a novel nature-inspired metaheuristic algorithm that augments canonical particle swarm optimisation (PSO) with machine learning (ML) for parallel reaction optimisation. Unlike black-box ML approaches that obscure decision-making processes, $α$-PSO uses mechanistical…

BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
Hayat Rajani, Valerio Franchi, Borja Martinez-Clavel Valles, Raimon Ramos, Rafael Garcia, Nuno Gracias
https://arxiv.org/abs/2510.04876

BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
Benthic habitat mapping is fundamental for understanding marine ecosystems, guiding conservation efforts, and supporting sustainable resource management. Yet, the scarcity of large, annotated datasets limits the development and benchmarking of machine learning models in this domain. This paper introduces a thorough multi-modal dataset, comprising about a million side-scan sonar (SSS) tiles collected along the coast of Catalonia (Spain), complemented by bathymetric maps and a set of co-registere…

The impact on health system expenditure in Australia and OECD countries from accelerated NCD mortality decline through prevention or treatment strategies to achieve Sustainable Development Goal Target 3.4
Bibha Dhungel, Jingjing Yang, Tim Wilson, Samantha Grimshaw, Emily Bourke, Stephanie Khuu, Tony Blakely
https://arxiv.org/abs/2509.10795…

The impact on health system expenditure in Australia and OECD countries from accelerated NCD mortality decline through prevention or treatment strategies to achieve Sustainable Development Goal Target 3.4
Background: It is unclear what the relative impacts of prevention or treatment of NCDs are on future health system expenditure. First, we estimated expenditure in Australia for prevention vs treatment pathways to achieve SDG target 3.4. Second, we applied the method to 34 other OECD countries. Methods: We used GBD data to estimate average annual percentage changes in disease incidence, remission, and CFRs from 1990-2021, and projected to 2030 to estimate business-as-usual (BAU) reductions in …

⛽ Novel method to convert carbon dioxide into methanol, paving the way for green energy solutions
#fuel

Novel method to convert carbon dioxide into methanol, paving the way for green energy solutions
A research team affiliated with UNIST has made a significant breakthrough in sustainable technology through the development of a method to convert carbon dioxide (CO₂) into methanol—a process that could play a vital role in reducing greenhouse gas emissions and producing environmentally friendly fuels.

How liveable are London's 15-minute neighbourhoods? Exploring liveability profiles and active travel patterns in London
Philyoung Jeong, Ivann Schlosser, Alexei Poliakov, Elsa Arcaute
https://arxiv.org/abs/2510.09296

How liveable are London's 15-minute neighbourhoods? Exploring liveability profiles and active travel patterns in London
Healthy and liveable neighbourhoods have increasingly been recognised as essential components of sustainable urban development. Yet, ambiguity surrounding their definition and constituent elements presents challenges in understanding and evaluating neighbourhood profiles, highlighting the need for a more detailed and systematic assessment. This research develops a composite Liveability Index for Greater London based on metrics related to the proximity, density, and diversity of POIs, along with…

Additive Manufacturing of PEEK/Lunar Regolith Composites for Sustainable Lunar Manufacturing
Mohammad Azami, Pierre-Lucas Aubin-Fournier, Mehdi Hojjati, Krzysztof Skonieczny
https://arxiv.org/abs/2508.00894

Additive Manufacturing of PEEK/Lunar Regolith Composites for Sustainable Lunar Manufacturing
As humanity advances toward long-term lunar presence under NASA's Artemis program, the development of lunar-based manufacturing and construction (LBMC) capabilities has become increasingly critical. The high cost of transporting materials from Earth makes in-situ resource utilization (ISRU) essential, with lunar regolith serving as a promising local feedstock. Additive manufacturing (AM) offers a compelling platform for LBMC due to its geometric flexibility, material efficiency, and capacity fo…

Great article by Michal Ganzarcik for Shiftmag explaining the nuances of "Just say no" in a career space (Software Development theme, but I believe it applies to work in general).
I especially love the last line under "What's the solution?":
> **Don’t reward or idolize overwork.** Encourage a culture that values balance and sustainable effort over relentless hustle.

AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
Chenguang Du, Chuyi Wang, Yihan Chao, Xiaohui Xie, Yong Cui
https://arxiv.org/abs/2509.02317

AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
The rapid development of AI agents leads to a surge in communication demands. Alongside this rise, a variety of frameworks and protocols emerge. While these efforts demonstrate the vitality of the field, they also highlight increasing fragmentation, with redundant innovation and siloed designs hindering cross-domain interoperability. These challenges underscore the need for a systematic perspective to guide the development of scalable, secure, and sustainable AI agent ecosystems. To address thi…

Polarity Detection of Sustainable Detection Goals in News Text
Andrea Cadeddua, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Francesco Osborne, Diego Reforgiato Recupero, Angelo Salatino, Luca Secchi
https://arxiv.org/abs/2509.19833

Polarity Detection of Sustainable Detection Goals in News Text
The United Nations' Sustainable Development Goals (SDGs) provide a globally recognised framework for addressing critical societal, environmental, and economic challenges. Recent developments in natural language processing (NLP) and large language models (LLMs) have facilitated the automatic classification of textual data according to their relevance to specific SDGs. Nevertheless, in many applications, it is equally important to determine the directionality of this relevance; that is, to assess…

Toward Sustainable Vertical Farming: Impacts of Environmental Factors and Energy Mix on Performance and Costs
Francesco Ceccanti, Aldo Bischi, Umberto Desideri, Andrea Baccioli
https://arxiv.org/abs/2507.18419

Toward Sustainable Vertical Farming: Impacts of Environmental Factors and Energy Mix on Performance and Costs
The increasing interest in vertical farming arises from its ability to ensure consistent, high-quality, and pest-free vegetable production while supporting synergies with energy systems and urban development. Accordingly, standardized design and operation guidelines are essential to improve energy efficiency and lower costs. This study analyzes the production performance and energy consumption of a vertical farming system, assessing its efficiency, sustainability, and economic viability. A tota…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
Humza Ashraf, Syed Muhammad Danish, Zeeshan Sattar
https://arxiv.org/abs/2509.09947 https…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
There is a growing concern about the environmental impact of large language models (LLMs) in software development, particularly due to their high energy use and carbon footprint. Small Language Models (SLMs) offer a more sustainable alternative, requiring fewer computational resources while remaining effective for fundamental programming tasks. In this study, we investigate whether prompt engineering can improve the energy efficiency of SLMs in code generation. We evaluate four open-source SLMs…

Transient Histories- Form (Aesthetics) and Relations (Ecology) in Sustainable Development
https://ift.tt/64PCBWs
updated: Friday, September 5, 2025 - 9:17amfull name / name of organization: Kristu Jayanti Deemed…
via Input 4 RELCFP

Sustainability Evaluation Metrics for Recommender Systems
Alexander Felfernig, Damian Garber, Viet-Man Le, Sebastian Lubos, Thi Ngoc Trang Tran
https://arxiv.org/abs/2507.22520 …

Sustainability Evaluation Metrics for Recommender Systems
Sustainability-oriented evaluation metrics can help to assess the quality of recommender systems beyond wide-spread metrics such as accuracy, precision, recall, and satisfaction. Following the United Nations`s sustainable development goals (SDGs), such metrics can help to analyse the impact of recommender systems on environmental, social, and economic aspects. We discuss different basic sustainability evaluation metrics for recommender systems and analyze their applications.

Invariant Features for Global Crop Type Classification
Xin-Yi Tong, Sherrie Wang
https://arxiv.org/abs/2509.03497 https://arxiv.org/pdf/2509.03497

Invariant Features for Global Crop Type Classification
Accurately obtaining crop type and its spatial distribution at a global scale is critical for food security, agricultural policy-making, and sustainable development. Remote sensing offers an efficient solution for large-scale crop classification, but the limited availability of reliable ground samples in many regions constrains applicability across geographic areas. To address performance declines under geospatial shifts, this study identifies remote sensing features that are invariant to geogr…

Unit-Modified Weibull Distribution and Quantile Regression Model
Jo\~ao In\'acio Scrimini, Cleber Bisognin, Renata Rojas Guerra, F\'abio M. Bayer
https://arxiv.org/abs/2508.17359

Unit-Modified Weibull Distribution and Quantile Regression Model
The Sustainable Development Goals (SDGs) of the United Nations consist of 17 general objectives, subdivided into 169 targets to be achieved by 2030. Several SDG indices and indicators require continuous analysis and evaluation, and most of these indices are supported in the unit interval (0,1). To incorporate the flexibility of the modified Weibull (MW) distribution in doubly constrained datasets, the first objective of this work is to propose a new unit probability distribution based on the MW…

Resistance Technologies: Moving Beyond Alternative Designs
Iness Ben Guirat, Jan Tobias M\"uhlberg
https://arxiv.org/abs/2508.05223 https://arxiv.org/…

Resistance Technologies: Moving Beyond Alternative Designs
The discourse about sustainable technology has emerged from the acknowledgment of the environmental collapse we are facing. In this paper, we argue that addressing this crisis requires more than the development of sustainable alternatives to current online services or the optimization of resources using various dashboards and AI. Rather, the focus must shift toward designing technologies that protect us from the consequences of the environmental damages. Among these consequences, wars, genocide…

RiverScope: High-Resolution River Masking Dataset
Rangel Daroya, Taylor Rowley, Jonathan Flores, Elisa Friedmann, Fiona Bennitt, Heejin An, Travis Simmons, Marissa Jean Hughes, Camryn L Kluetmeier, Solomon Kica, J. Daniel V\'elez, Sarah E. Esenther, Thomas E. Howard, Yanqi Ye, Audrey Turcotte, Colin Gleason, Subhransu Maji
https://arxi…

RiverScope: High-Resolution River Masking Dataset
Surface water dynamics play a critical role in Earth's climate system, influencing ecosystems, agriculture, disaster resilience, and sustainable development. Yet monitoring rivers and surface water at fine spatial and temporal scales remains challenging -- especially for narrow or sediment-rich rivers that are poorly captured by low-resolution satellite data. To address this, we introduce RiverScope, a high-resolution dataset developed through collaboration between computer science and hydrolog…

Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, St\'ephane Verguet
https://arxiv.org/abs/2509.00135…

Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
As part of nationwide efforts aligned with the United Nations' Sustainable Development Goal 3 on Universal Health Coverage, Ethiopia's Ministry of Health is strengthening health posts to expand access to essential healthcare services. However, only a fraction of this health system strengthening effort can be implemented each year due to limited budgets and other competing priorities, thus the need for an optimization framework to guide prioritization across the regions of Ethiopia. In this pape…

Uncovering the network geometry of green bonds
Xinyue Zhang, Alexander P. Kartun-Giles
https://arxiv.org/abs/2509.05168 https://arxiv.org/pdf/2509.05168

Uncovering the network geometry of green bonds
With the rapid growth of the green bond market amid increasing emphasis on sustainable development, understanding its structural properties and potential systemic risks has become essential. This study applies Minimum Spanning Tree (MST) and Hierarchical Tree (HT) methods introduced by Mantegna, which gives a minimum spanning tree of bonds whose mutual distance corresponds to the correlation coefficient of the synchronous time evolution of the difference of the logarithm of their monthly price.…

Interplay between Security, Privacy and Trust in 6G-enabled Intelligent Transportation Systems
Ahmed Danladi Abdullahi, Erfan Bahrami, Tooska Dargahi, Mohammed Al-Khalidi, Mohammad Hammoudeh
https://arxiv.org/abs/2510.02487

Interplay between Security, Privacy and Trust in 6G-enabled Intelligent Transportation Systems
The advancement of 6G technology has the potential to revolutionize the transportation sector and significantly improve how we travel. 6G-enabled Intelligent Transportation Systems (ITS) promise to offer high-speed, low-latency communication and advanced data analytics capabilities, supporting the development of safer, more efficient, and more sustainable transportation solutions. However, various security and privacy challenges were identified in the literature that must be addressed to enable…

Analysis and Study of Smart Growth
Rongyan Chen, Ci Chen, Ziyang Yan
https://arxiv.org/abs/2509.04529 https://arxiv.org/pdf/2509.04529

Analysis and Study of Smart Growth
In the mid-1990s, the concept of smart growth emerged in the United States as a critical response to the phenomenon of suburban sprawl. To promote sustainable urban development, it is necessary to further investigate the principles and applications of smart growth. In this paper, we propose a Smart Growth Index (SGI) as a standard for measuring the degree of responsible urban development. Based on this index, we construct a comprehensive 3E evaluation model (covering economic prosperity, social…

A Data-Driven Framework for Digital Transformation in Smart Cities: Integrating AI, Dashboards, and IoT Readiness
\'Angel Lloret, Jes\'us Peral, Antonio Ferr\'andez, Mar\'ia Auladell, Rafael Mu\~noz
https://arxiv.org/abs/2509.22721

A Data-Driven Framework for Digital Transformation in Smart Cities: Integrating AI, Dashboards, and IoT Readiness
Digital transformation (DT) has become a strategic priority for public administrations, particularly due to the need to deliver more efficient and citizen-centered services and respond to societal expectations, ESG (Environmental, Social, and Governance) criteria, and the United Nations Sustainable Development Goals (UN SDGs). In this context, the main objective of this study is to propose an innovative methodology to automatically evaluate the level of digital transformation (DT) in public sec…