JISCmail offers the facility for storing files associated with a particular list, so that users may retrieve them when required. Anyone wishing to make available reports and other documents that are of longer term value for retrieval by other members of the list should mail the List Owner at: utsg-request_AT_jiscmail.ac.uk with a suitable filename, a short description (300 characters or less please) and the file itself.
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 firstname.lastname@example.org<mailto:email@example.com>. [...]
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. [...]
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 [...]