Motivation
Last decade has witnessed the dawn of personal mobile contrivances as the center of our digital life. In that sense, manufacturers have greately empowered such devices with new and more advanced sensing features. One clear example of this enrichment is the fact that now mobile devices are commonly equipped with different outdoor and indoor positioning technologies (e.g. GPS, RFID or Bluetooth). This ubiquity of location-aware personal devices has entitled users to generate an unprecedented amount of spatio-temporal data. Furthermore, all this data can be easily hosted and shared in different crowdsourcing platforms like Online Social Networks as Twitter or collaborative applications as OpenStreetMap. At the same time, the Open Data movement encourages public and private institutions to publish their data in a freely manner and so that it is available to anyone. In an urban scope, this has released a huge amount of contextual data related to the own cities infrastructure, services and population.

This wealth of open and crowdsourced location data clearly enables the development of an ecosystem of new, innovative and cost-effective systems. Applications in smart mobility, smart tourism or smart marketing are some of the fields where these systems can bring outstanding opportunities. However, there is lack of end-to-end solutions able to smoothly integrate, fuse, process and analyze both types of data to extract meaningful and functional knowledge. This way, the aforementioned ecosystem is still in its early stage.
This workshop will promote the use of intelligent techniques and models to come up with solutions that actually profit from open and crowdsourced location data in many different perspectives ranging from the data management to the machine learning fields. All in all, the workshop will offer to the academic and industrial communities a forum to share their different experiences and challenges in this fascinating field.


Topics of Interest
Areas of interest include, but are not limited to, the following ones
· Smart mobility
· Smart tourism
· Smart marketing
· Open governance
· Fusion techniques for user-generated data
· Security solutions for crowdsensing platforms
· Land-use discovery mechanisms
· Information models for crowdsensing and open data
· Recommendation systems
· Machine learning for volunteered geographic information
· Big Data solutions for open and crowdsensed environments
· Internet of Things (IoT) enablers


Workshop Format
ISOCLoD’20 is intended to be held as a co-locate event in the 16th International Conference on Intelligent Environments (IE'2020). The core of the event will be the presentation of recent advances in research and applications followed by a debate aiming to encourage a critical reflection on the subject. We also encourage authors to follow a reproducible research approach. Following the presentations of selected papers, a discussion panel will focus on critical issues that should be addressed at both academic and professional level. Interaction will be encouraged throughout the event.


Submissions
Authors wishing to participate in this event should format their papers according to the IOS Press style, with a length of at least 6 but no more than 10 pages. Latex and Word templates can be found in http://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors. The submission system for this workshop is based on EasyChair. Papers must be submitted using the following link: https://easychair.org/my/conference?conf=isoclod20.

All submitted papers will be submitted to a peer-review process by referees with expertise in the area. This process will result in constructive feedback to the authors and the selection of the best contributions to be presented in the workshop and published in the proceedings.

All accepted papers will be published in an Open Access volume in the Book Series on Ambient Intelligence and Smart Environments Series (IOS Press). The Workshops Proceedings published by this Book Series are indexed in the Conference Proceedings Citation Index - Science (CPCI-S) by Thomson Reuters. Previous editions were indexed by Scopus. We are also negotiating a special issue in a relevant journal in this area for extended selected papers (more information on this shortly).


Contact Information
Please direct your inquiries to Program Chairs:
· Fernando Terroso-Saenz, Universidad Católica de Murcia, Spain (fterroso at ucam.edu)
· Andrés Muñoz, Universidad Católica de Murcia, Spain (amunoz at ucam.edu)