Alessia Calafiore

450 Followers
368 Following
128 Posts

Lecturer in Sustainability and Urban Data Science
ESALA/ECA and Edinburgh Futures Institute
University of Edinburgh

#urbananalytics #geographicdatascience #sustainablecities #maps #Rstats

Personal Websitehttps://aelissa.github.io/
Researchhttps://www.research.ed.ac.uk/en/persons/alessia-calafiore
Linkedinhttps://www.linkedin.com/in/alessia-calafiore-0792838b/
RT @Placestandard
Scottish Government consultation - Local living & 20-minute neighbourhoods. The guidance is clear that local liveability requires that places are inclusive & enable everyone to live well locally & to participate & contribute to decisions about their places
https://consult.gov.scot/planning-architecture/draft-local-living-and-20-minute-neighbourhoods/
Local living and 20 minute neighbourhoods: draft planning guidance - Scottish Government - Citizen Space

Find and participate in consultations run by The Scottish Government

RT @codebarEd
We're happy to announce our next workshop 🎉
Join us on Thursday 11th May, at 6pm. This time we're hosted by @BayesCentre
To sign up visit this link 👇👇
https://codebar.io/workshops/2640
codebar

Making tech more diverse and welcoming by bringing people together and helping teach programming skills.

codebar
RT @tomasomontanari
Viva la Resistenza, viva l’antifascismo, viva la Costituzione! Buon #25aprile a tutte e a tutti!
And now Ki Tong on stage for her first conference presentation on our work on active travel and noise pollution. Paper here https://zenodo.org/record/7834170#.ZEFA16jTUVE Code here https://github.com/aelissa/ActiveTravel_Noise #gisruk23
An exploratory study on the association between noise pollution, urban forms and function, and the choice of transportation modes

Noise pollution is problematic in highly urbanised areas, impacting adversely on active commuting experiences. The potential rippling effects of noise pollution on transportation choices inform the study’s intent. Using London as a case study, the research explored the association between noise pollution, urban forms and functions and the mode of transportation to work. Results show cyclists are more vulnerable to high noise levels, whereas pedestrians are more exposed to mid-range noise levels, with urban density and diversity positively correlated with noise pollution.

Zenodo
Lots of maps at these @RLadiesEdinb meetings ❤️❤️❤️ Glad to have @CaitHRobin in #Edinburgh introducing cluster analysis with R #RStats

RT @unoscribacchino
Vittorio Arrigoni. Un vincitore.

(4 febbraio 1975 - #15aprile 2011)

RT @fgenovese__
Italy is living a massive drought attributed to climate change, yet neither the news nor the government are not taking the issue at all seriously.
RT @FarberSteven
We're hiring again! Come join our incredible team as a postdoctoral fellow on the @UofTMobilityNet iCity2.0 and @MobilizingJust projects! https://utoronto-my.sharepoint.com/:b:/g/personal/steven_farber_utoronto_ca/EW_Vdj19E_1Gg6KqYDrnG7gBalZj48S2xfeW2JuGQPmVvw?e=ZYOxYm
OneDrive for Business

Can't wait to welcome @CaitHRobin for a new fantastic #rladies event 🤩 If you are in #Edinburgh on April 17th it is surely something you don't want to miss 🔥🔥🔥 Details below 👇
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RT @RLadiesEdinb
📢📢📢Join us for the second workshop of 2023. This time, we'll be joined by @CaitHRobin, who will give us a practical introduction to cluster analysis in #rstats.
📆 Monday 17/04, 6-8pm (in person)
🥂 Drinks and snacks provided after
To sign up…
https://twitter.com/RLadiesEdinb/status/1643956391994880003
R-Ladies Edinburgh on Twitter

“📢📢📢Join us for the second workshop of 2023. This time, we'll be joined by @CaitHRobin, who will give us a practical introduction to cluster analysis in #rstats. 📆 Monday 17/04, 6-8pm (in person) 🥂 Drinks and snacks provided after To sign up, go to https://t.co/mz62PNWphH”

Twitter

RT @AnahidBasiri
We have six #postdocposition opening in several areas of #geospatial #DataScience

(1/6) The first one is a 2year post with possible extension for up to 5y. Anyone who wants to develop &lead their team in areas of #GeoAI #MachineLearning apply https://bit.ly/3zduPs8 by 27.04

Research Associate/Fellow in Geospatial Data Science and Geo- AI at University of Glasgow

Jobs.ac.uk