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4 things worth reading this week

19 September 2026 · Curated for research-led data visualisation & design practice

01DATA VIZ · 2024OPEN ACCESS

The effects of visualisation literacy and data storytelling dashboards on teachers’ cognitive load

Yuchen Liu, Stanislav Pozdniakov, Roberto Martínez‐Maldonado·Australasian Journal of Educational Technology
The Idea

Learning analytics (LA) dashboards are becoming increasingly available in various learning settings.

Why is this worth your time?

This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.

Read: Read: Study design and Key Findings; skim the related work section.
→ Read the paper
02DATA VIZ · 2025PAYWALLED

Leveraging Foundation Models for Crafting Narrative Visualization: A Survey

Yi He, Ke Xu, Shixiong Cao, Yang Shi, Qing Chen·IEEE Transactions on Visualization and Computer Graphics
The Idea

Narrative visualization transforms data into engaging stories, making complex information accessible to a broad audience.

Why is this worth your time?

This gives you a clear structure for balancing author-driven guidance with reader-driven exploration. It could change how you choreograph data stories by showing exactly where guided walkthroughs help comprehension and where freeform exploration is necessary.

Read: Read: The conceptual framework section and accompanying synthesis diagrams.
→ Read the paper
03METHOD · 2025OPEN ACCESS

Data Storytelling and Decision-Making in Seaport Operations: A New Approach Based on Business Intelligence

Marco Gonçalves, Cátia M. Salgado, Amaro de Sousa, Leonor Teixeira·Sustainability
The Idea

Seaports are experiencing several challenges due to the explosive growth of the maritime shipping business, which has led to the need for digitalized operations and more effective solutions.

Why is this worth your time?

This gives you a rigorous, repeatable method to integrate directly into your design discovery toolkit. You will find it particularly valuable when scoping ambiguous project briefs and structuring qualitative feedback into actionable design constraints.

Read: Read: Methodology and Discussion sections; review the central architecture diagram.
→ Read the paper
04METHOD · 2024PAYWALLED

VisEval: A Benchmark for Data Visualization in the Era of Large Language Models

Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang·IEEE Transactions on Visualization and Computer Graphics
The Idea

Translating natural language to visualization (NL2VIS) has shown great promise for visual data analysis, but it remains a challenging task that requires multiple low-level implementations, such as natural language processing and visualization design.

Why is this worth your time?

This gives you a rigorous, repeatable method to integrate directly into your design discovery toolkit. You will find it particularly valuable when scoping ambiguous project briefs and structuring qualitative feedback into actionable design constraints.

Read: Read: The conceptual framework section and accompanying synthesis diagrams.
→ Read the paper
This Week's Themes
DATA VIZSTORYTELLINGMETHODCOMPUTER SCIENCE
One Idea to Keep
A visualisation does not merely communicate data; it shapes what people consider relevant, uncertain, and actionable.