TIME workshop logo TIME 2027 The Third International Workshop on Transformative Insights in Multi-faceted Evaluation

The Web Conference 2027Dublin, Ireland · May 10–14, 2027

About The ACM Web Conference

The ACM Web Conference, formerly the International World Wide Web Conference or WWW, has been the leading annual venue for exploring the future of the World Wide Web since its inception in 1989. As the premier forum for presenting advances in Web technologies, the conference brings together researchers, policymakers, practitioners, and users to discuss and shape the Web's future direction.

Over the past three decades, The Web Conference has introduced some of the most fundamental Web innovations, such as the Anatomy of a Large-Scale Web Search Engine in 1998, the EigenTrust algorithm in 2003, and the YAGO knowledge base in 2007. The conference continues to foster collaboration and innovation across academia and industry, addressing cutting-edge research, applications, and societal impacts of the Web.

The 2027 ACM Web Conference will take place in Dublin, Ireland. The programme will include research sessions, posters and demonstrations, a PhD symposium, workshops, tutorials, an industry track, keynote speakers, panels, and special tracks, bringing together the Web community from academia and industry.

TIME 2027 at WWW27

TIME 2027 is closely aligned with The Web Conference because the Web is not only a major deployment environment for modern AI, but also a uniquely challenging environment in which to evaluate it. Search engines, recommender systems, social platforms, knowledge systems, content-generation tools, and increasingly autonomous Web agents are being transformed by foundation and multimodal models. These systems must operate with heterogeneous information, evolving content, diverse users, external tools, and real-world constraints. Consequently, evaluating Web AI requires more than measuring performance on static datasets: it requires understanding reliability, safety, fairness, robustness, human utility, and behaviour under realistic and changing conditions. TIME 2027 directly addresses this emerging evaluation challenge.

The workshop also complements the broader technical and societal scope of The Web Conference by connecting methodological advances in AI evaluation with concrete Web applications and their societal implications. Its multi-faceted perspective brings together communities that are often evaluated separately, including Web mining, information retrieval, recommender systems, multimodal learning, foundation models, human-centred AI, security, privacy, and responsible AI.

TIME has also established a track record within The Web Conference. The 2025 edition established a cross-domain forum combining evaluation, survey, and practical perspectives, while the 2026 edition expanded toward responsible AI evaluation, trustworthy multimodal analytics, cross-domain benchmarking, industry collaboration, and interactive demonstrations. TIME 2027 builds naturally on this progression while introducing a more focused agenda around evaluating foundation models, multimodal generative AI, and agentic Web systems.

TIME Lab at WWW27

TIME Lab at WWW, based at Griffith University and led by Dr. Lei Wang, is a dynamic hub of research and innovation. Comprising master's students, PhD candidates, and early-career researchers, the lab fosters collaboration, mentorship, and impactful research aimed at tackling real-world challenges.

TIME Lab's research spans diverse domains such as safety, security, smart cities, IoT, agribusiness, and defence, with practical applications in health and emerging industries. Lab members design and implement cutting-edge frameworks for real-time analysis and efficient video processing, driving advancements in performance, safety, and innovation.

Achievements & Recognition: Within two years of growth, TIME Lab members have been recognized at leading conferences for their contributions to the community. As a group of honours students, master's students, PhD candidates, and postdocs, they have collectively published high-impact papers in venues such as NeurIPS, ICML, ICLR, ECCV, AAAI, ACM MM, WACV, BMVC, IJCV, and PR.

Our Mission: TIME Lab is advancing into a new research phase, expanding from its origins in action recognition and anomaly detection toward comprehensive video understanding, multi-scale spatiotemporal analysis, and the study of subtle or imperceptible environmental changes. The lab integrates diverse data sources and develops interpretable, verifiable methodologies to deepen scientific understanding of complex scenes and evolutionary processes. The lab's mission is to cultivate the next generation of scholars who can lead progress in spatiotemporal intelligence and multimodal analysis. Building on research foundations spanning UNSW, CMU, Data61/CSIRO, ANU, and HKUST(GZ), TIME Lab fosters interdisciplinary collaboration, rigorous inquiry, and real-world impact.

TIME 2027 Workshop Coordinators

We are delighted to announce that Syuan-Hao Li, Jingxi Zhang, Xi Zhou, Xu Han, Bowen Tian, Shaofeng Liang, Zhicheng Zhang, and Liying Yin have been appointed as TIME 2027 Workshop Coordinators. They will support submissions, logistics, and communication among participants, reflecting the workshop's commitment to cultivating emerging talent and welcoming fresh perspectives. Meet the coordinators.

Useful Links