Research Notes

On surprise, human–AI teaming, and temporal networks.

Reflections from the NetSciX'25 Keynote

A keynote at the flagship winter conference of the Network Science Society, in Indore, India.

2 min read · April 29, 2025

2025 · temporal-networks epidemiology talks · announcements
Interpretable Transformation and Analysis of Timelines through Learning via Surprisability (LvS)

Instead of treating all deviations equally, LvS prioritises the most surprising changes — making anomalies in time-series easier to interpret.

3 min read · March 09, 2025

2025 · surprisability anomaly-detection time-series · research
Harnessing AI for Creative Collaboration: Insights from Our Brainwriting Study

What happens when GPT-3 joins a group ideation session? About half the participants found it a valuable ally; the rest found it repetitive.

4 min read · February 26, 2024

2024 · human-ai-teaming ideation llms · research
Beyond R0: Unraveling COVID-19's Transmission Mysteries Through Temporal Network Analysis

How a chance meeting at BGU turned into a multi-year program showing that a community's temporal dynamics matter more than the pathogen's own characteristics.

5 min read · February 18, 2024

2024 · temporal-networks epidemiology · research
Talk at TAU's Cyber Week, June 26, 2023

Decoding the Hidden Knowledge — using information theory for online impersonation detection.

1 min read · June 15, 2023

2023 · talks surprisability impersonation · announcements