Topic: Human-AI collaboration

Supports agentic AI research and open-source tools, including multi-agent collaboration, scientific discovery, autonomous trajectory verification, and customization through post-training or optimization of prompts, tools and agent scaffolding. Research may address safe agent behavior, data integration, enterprise operation and human–AI collaboration. Submit a scientific proposal using the ARA template, encouraged to be no more than four pages excluding appendices. Decisions are expected in February 2027. Applications close on 4 November 2026 at 11:59pm Pacific Time.

This MRS workshop, developed with the Japan Society of Applied Physics, examines how AI can advance autonomous materials research beyond property prediction. Sessions connect physics-informed models, fundamental physical understanding, experimental validation and human–AI collaboration. Particular attention goes to data-efficient learning where experimental datasets are small or difficult to obtain. The online programme runs 4 November, 10:00–13:00, and 5 November, 19:00–22:00, US Eastern Time (EST). Registered participants receive session recordings. Registration is USD 100 regular, USD 75 fo

Automatic analysis of affective and social signals creates opportunities for collaboration between computer scientists and behavioral researchers. Albert Ali Salah examines the field’s main research directions and challenges, including differences between computational and statistical methods, their goals and assumptions, and data-driven versus theory-driven approaches. Examples include automated analysis of children’s interactive play-therapy sessions and the use of multimodal cues in bipolar-disorder diagnosis. Facial expression, body movement, gesture and speech illustrate how AI can suppo