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Des colleagues,

Please find the link to the Regional Science Policy & Practice (RSPP) Call for Papers for a Special Issue on: Pandemics, Location and Mobility.<https://regionalscience.org/index.php/news/journals/item/2883-rspp-call-for-papers-special-issue-on-pandemics,-location-and-mobility.html>

<https://regionalscience.org/index.php/news/journals/item/2883-rspp-call-for-papers-special-issue-on-pandemics,-location-and-mobility.html>
Submission of Titles and Abstracts to: Louafi Bouzouina, Louafi.BOUZOUINA@entpe.fr<mailto:Louafi.BOUZOUINA@entpe.fr>, before September 30, 2021, with feedback before October 7, 2021.

Submission of complete papers to: https://rsaiconnect.onlinelibrary.wiley.com/journal/17577802, until December 31, 2021, with foreseen publication of accepted papers online in 2022, and the special issue compiled before December 2022. Contact for details rspp@regionalscience.org<mailto:rspp@regionalscience.org>. [...]
Posted: September 16, 2021, 11:34 am
Dear colleagues

Edinburgh Napier University's 7th Annual Electric Vehicle Event 'Electric vehicle revolution across the globe' is taking place on 13th & 14th October. The aim of this conference is to review the status of electric vehicle markets from some of the leading economies across the world and examine the environmental impacts. The review shall be provided by a line-up of internationally acknowledged keynote speakers from Austria, France, Germany, Greece, Norway, Spain, UAE, UK and the USA. This is taking place online and is FREE to attend. [...]
Posted: September 15, 2021, 10:25 am
Dear Colleagues,

Expressions of interest are invited for contributions to a forthcoming Handbook on Artificial Intelligence in Transport.

Background
Innovations in Artificial Intelligence (AI) are expected to transform the transport sector over the next decade. Enabled by the convergence of high performance computing, machine vision, connectivity, automation of real-time data collection and advances in machine learning, AI has the potential to provide solutions to persistent urban transport challenges. Using historical and real-time urban sensing data, AI can learn to recognise patterns too complex, too massive or too subtle for hand-crafted software. Self-learning AI solutions will also enable a shift towards [...]
Posted: September 15, 2021, 7:16 am