Aim & Scope
Inspired by the broad agenda of the United Nations Sustainable Development Goals (SDGs), ACM Journal on Computing and Sustainable Societies (JCSS) aims to publish significant and original research from a broad array of computer and information sciences, social sciences, environmental sciences, and engineering fields that support the growth of sustainable societies worldwide, especially including under-represented and marginalized communities. JCSS aims to explicitly promote interdisciplinary research work including new methodologies, systems, techniques, applications, behavioral, qualitative, and quantitative studies that addresses key societal challenges including sustainability, gender equality, health, education, poverty, accessibility, conservation, climate change, energy, infrastructure and economic growth, among others. We also welcome research on the ethics of technology, especially from a critical perspective, that explores limitations and concerns with technology-led solutions for sustainable societies. The journal will be published quarterly. [1]
2024
V Cannanure , T Ngoon , S Wolf , ... , A Ogan
ACM Journal on Computing and Sustainable Societies , 2024
Sustainability of Makerspaces: Developing a Framework for Sustainable Community Innovation Centers
ACM Journal on Computing and Sustainable Societies , 2024
ForestQB: Enhancing Linked Data Exploration through Graphical and Conversational UIs Integration
O Mussa , O Rana , B Goossens , ... , C Perera
ACM Journal on Computing and Sustainable Societies , 2024
N McDonald , L Stamato , F Hamidi
ACM Journal on Computing and Sustainable Societies , 2024
Zero-configuration Alarms: Towards Reducing Distracting Smartphone Interactions while Driving
S Pargal , N Dalmia , H Borse , ... , S Chakraborty
ACM Journal on Computing and Sustainable Societies , 2024
Speaking in Terms of Money: Financial Knowledge Acquisition via Speech Data Generation
A Bhat , N Kulkarni , S Husain , ... , V Seshadri
ACM Journal on Computing and Sustainable Societies , 2024
ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images
Y Ho , C Lee , N Diaz , ... , A Mostafavi
ACM Journal on Computing and Sustainable Societies , 2024