Conference Information
GoodIT 2026: ACM International Conference on Information Technology for Social Good
https://goodit2026.di.unipi.it/Submission Date: |
2026-05-17 |
Notification Date: |
2026-06-07 |
Conference Date: |
2026-09-02 |
Location: |
Pisa, Italy |
Years: |
6 |
Viewed: 14049 Tracked: 1 Attend: 0
Call For Papers
Scope
The ACM 6th International Conference on Information Technology for Social Good (GoodIT 2026) is a premier international forum for researchers, practitioners, and educators to present and discuss the latest innovations, trends, and challenges in leveraging technology, data, and interdisciplinary approaches for Social Good and the UN Sustainable Development Goals. The conference welcomes contributions that explore the intersection of technology with fields such as social sciences, healthcare, environmental studies, and public policy—highlighting the broader impact of digital transformation on society.
Alongside the main track, the conference features the Work-in-Progress Track and the PhD Track. The Work-in-Progress Track provides an excellent opportunity for practitioners and researchers from diverse domains to present early-stage work, share ideas, and receive valuable feedback, fostering cross-disciplinary discussions and collaborations. The PhD Track is designed for doctoral students at different stages of their research, offering a unique space to present and refine their work with guidance from experienced researchers across various disciplines.
Additionally, the program will be enriched with several Special Tracks, complementing the existing five conference tracks. These tracks will further emphasise the interdisciplinary nature of GoodIT 2026, addressing topics at the convergence of technology, ethics, sustainability, and societal impact. The forthcoming Call for Papers will outline these tracks in detail. The list of special tracks will be available at a later date.
Conference Main Tracks
We welcome submissions on a wide range of topics, including but not limited to:
Data Science and AI for Social Good:
Social Impact of Machine Learning Applications
Data and Algorithmic Biases and Potential Societal Risks
Large Language Models (LLMs) and GenAI Models' Impact on Society
Fairness, Accountability, and Transparency in Machine Learning
Citizen Science and Civic Intelligence
Data Sensing, Processing and Persistence
Technology and Applications for Social Good:
AI and Machine Learning for Social and Humanitarian Response
IoT Solutions for Sustainable Development
Decentralised Approaches to IT
Digital Solutions for Cultural Heritage
Game, Entertainment, and Multimedia Applications
IT for Education, Smart Living, Health and Social Care
Social Informatics
Environmental Sustainability and Technology:
Green Computing and Energy-Efficient Technologies
Climate Change Modelling and Environmental Science
Smart Cities and Sustainable Urban Development
Sustainable Networking and Communication Systems
Technology Addressing the Digital Divide
Sustainable Cities and Transportation
Frugal Solutions for IT
Ethics, Policy, and Governance in Tech for Social Good:
Regulatory and Policy Frameworks for Ethical Tech
Governance of AI and Autonomous Systems in Social Contexts
Digital Rights and Freedom in the Age of Technology
Data Privacy and Security in Social Applications
Privacy and Trust Issues and Solutions
Smart Governance and E-administration
Socially Responsible IT Solutions
Last updated by Dou Sun in 2026-02-15
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|---|---|---|---|---|
| Information Technology for Development | 6.4 | Taylor & Francis | 0268-1102 | |
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| Education and Information Technologies | 5.4 | Springer | 1360-2357 | |
| b | Information and Software Technology | 4.3 | Elsevier | 0950-5849 |
| Ethics and Information Technology | 4.0 | Springer | 1388-1957 | |
| c | Behaviour & Information Technology | 3.1 | Taylor & Francis | 0144-929X |
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| a | IEEE Transactions on Information Theory | 2.9 | IEEE | 0018-9448 |
| c | Journal of Global Information Technology Management | 2.6 | Taylor & Francis | 1097-198X |
| International Journal of Information Technology & Decision Making | 1.8 | World Scientific | 0219-6220 |