https://www.fast.ai/posts/2026-01-28-dark-flow/
| Location | UK |
| Alt | @kamran_soomro |
| Location | UK |
| Alt | @kamran_soomro |
New paper out in Concurrency and Computation: Practice and Experience! We explored how LLMs can help public authorities analyse citizen feedback more efficiently.
Using survey data from East Bristol's liveable neighbourhood initiative, we found sentiment classification achieved >90% accuracy, and LLMs outperformed traditional summarisation methods.
Open access:
https://doi.org/10.1002/cpe.70547
#SmartCities #LLM #MachineLearning #UrbanPlanning #OpenAccess #CitizenScience
Here’s one of the visualisations we created: the geographical distribution of collisions in 2024, classified by severity: fatal, serious, and slight.
More about the dataset:
https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-accidents-safety-data
Today in our #Business_Intelligence module, we explored a data science case study on UK road collisions, using the latest dataset (updated Sep. 2025) from the Department for Transport (DfT), United Kingdom.
We went through the analytics cycle: business & data understanding, data preparation, developing a predictive model and model evaluation.

Designers once controlled 85% of user experience through interfaces and interactions. Now, with intelligence moving beneath the surface, that control has collapsed to 5%—while the real design decisions happen in training data, system prompts, and model behavior that most designers never see.