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Announcing - AI / Deep Learning Lab for Future Cities - at University of Madrid

Background

I teach a masters program on Smart cities (Big Data/Data Science/IoT analytics) at Citysciences (part of the University of Madrid)

I am pleased to announce the AI / Deep Learning Lab for Future Cities - at University of Madrid 

We welcome call for Papers - please email me at ajit.jaokar at futuretext.com if you are interested in the below 

Introduction

Created by Ajit Jaokar at citysciences, the aim of the lab is to explore cross domain, complex, AI related problems for future cities

Artificial Intelligence (AI) and Deep Learning technologies are impacting many aspects of our lives. In future, this impact is expected to accelerate to many more areas including Smart cities.
 

The problem we address

Many of the future problems facing city planners such as driverless cars, use of drones etc impact multiple facets in cities. To address them through AI technologies, we need to think beyond the current silo-based approach. We need to look to the interconnections between city areas.
 
In practice, that means:

  • City planners need to think long term
  • Technology implementations need to take a long term, pragmatic view focused on new services. This needs thinking beyond the current concerns of deployments of AI technologies
  • New services may impact multiple verticals
  • These ideas will also need a more fundamental policy change / thinking 

 Most importantly, we wish to engage with new ideas in an ‘agile’ way. Ideas and solutions may emerge from professionals in the wider AI community who are not traditionally familiar with future cities.


Approach

The lab aims to create synergies between the city sciences and data sciences communities working on improving cities through artificial intelligence. Our goal is to mix traditional knowledge of city performance with the latest Artificial Intelligence (AI) and Deep learning algorithms to deal with the urban complexity through consolidation of knowledge.
 
UPM is creating this as an open initiative for anybody interested to participate. It is based on two professional or researcher communities working together:

  • City specialist who will propose challenges
  • Data Scientist (based on AI) who will solve this issues

The Lab will work with data sources from multiple cities (including many Spanish cities we work with already). We will aspire to create open, replicable research which can be shared with other cities worldwide.


Open approach

We aim to take an Open, agile approach with a model more closely aligned to Kaggle than to academic publishing. 


Timelines

Sep/Nov 2016 in Madrid and London.

 
Partners

Coming soon.

 
Technical focus: 

Various AI and Deep learning technologies.


Audience

Cross disciplinary worldwide participation – labs located in Madrid (UPM).


About

 Ajit Jaokar is a professor at Citysciences teaching IoT, Big Data and Predictive analytics for future cities.
 
Javier Dorao is Manager at Citysciences and urban researcher at UPM.
 

Contact

 We are seeking collaborators and ideas (both city problems and data scientists)
  
We welcome comments and feedback

Please email me at ajit.jaokar at futuretext.com if you are interested to know more as we develop it

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Comment by Sione Palu on June 9, 2016 at 9:42am

jit Jaokar wouldn't it be better to announce calling for papers at academic forums rather than here at Datascience Central. The majority of readers here are practitioners rather than academics.  I'm a member of a few academic user-group  mailing lists (numerical-analysis, blind-source-separation, etc,...) where I see their  regular newsletter updates calling for papers by individuals like yourself who are organizing conferences. Others in the group respond back to those types of announcements since they're appropriate forums. I wouldn't be surprised if no one here at Datascience responds to your call for papers.

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