Tootfinder

Opt-in global Mastodon full text search. Join the index!

@mszll@datasci.social
2024-11-06 11:09:43

Today I'll give a talk about our #datascience research on bicycle networks at #eurosdr ..with a lump in my throat due to the us news - Now more than ever, we need more research for the interests of *people*, not for states or corporations.
Slides [pdf]:

title page of talk, titled "Data Science of Bicycle Networks" showing an image of a bicycle network
@nerdsitu@datasci.social
2024-10-22 11:38:27

At #d3a we just started our session "Networks, data, society and AI" 🥳: d3aconference.dk/networks-data
Find us in Sal D!

Conference room with audience sitting with laptops, listening/watching two presenters opening the session.

Networks, data, society, and AI - d3aconference.dk
Workshop Networks, data, society and AI Tuesday 22 October 13.30 Organizer: Vedran Sekara, IT University of Copenhagen The recent availability of large scale databases, coupled with computational techniques from mathematics, physics, statistics, machine learning, and artificial intelligence have opened new possibilities to study and understand social phenomena. In this session, we aim to unite researchers, […]

@mszll@datasci.social
2024-11-01 07:56:15

Classifying Bicycle Infrastructure Using On-Bike Street-Level Images
arxiv.org/abs/2410.19194v1

Classifying Bicycle Infrastructure Using On-Bike Street-Level Images
While cycling offers an attractive option for sustainable transportation, many potential cyclists are discouraged from taking up cycling due to the lack of suitable and safe infrastructure. Efficiently mapping cycling infrastructure across entire cities is necessary to advance our understanding of how to provide connected networks of high-quality infrastructure. Therefore we propose a system capable of classifying available cycling infrastructure from on-bike smartphone camera data. The system …