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GoodIT 2026: ACM International Conference on Information Technology for Social Good

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GoodIT
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投稿締切日:
2026-05-17
通知日:
2026-06-07
開催日:
2026-09-02
開催地:
Pisa, Italy
開催回数:
6
閲覧: 17259   フォロー: 1   参加: 0

会伴インデックス (CP-I)

47.2 / 100
全 5,682 件中 第 2,226 位 · 上位 40%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
52
コミュニティの注目度 (10%)
17
公開情報の充実度 (15%)
50

使用した入力: 確認できる開催回数：6 · 会伴でフォローしている研究者：1 人 · 過去 24 か月にこのページを開いた研究者：3 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-15

論文募集

GoodIT 2026 (ACM International Conference on Information Technology for Social Good) is an academic conference held in Pisa, Italy on 2026-09-02. The paper submission deadline is 2026-05-17. Acceptance notifications are sent on 2026-06-07.

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
最終更新：Dou Sun（）

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