3rd ACM SIGSPATIAL International Workshop on Analytics for Local Events and News (LENS 2019)

November 5, 2019 Chicago, Illinois, USA

Call for Papers

The advances in software and hardware technologies together with the rapid urbanization process globally over the last decade have changed the ways people interact as groups, both offline (physically), and online (virtually). On one hand, a growing urban population and diversity has led to more frequent social events of different types ranging from sports games and traffic congestion to ad-hoc gatherings and social protests. They may bring impacts on public safety, traffic, and business. On the other hand, online forums and social media have emerged as a new generator and information source for events and news. Using online services, e.g., social media and events-related websites, people have developed new ways of handling events such as continuously posted updates on events, organizing and broadcasting events via online means, and organizing events in virtual environments. Nevertheless, both online and offline events and news play important roles in modern societies. Consequently, identifying, forecasting, and understanding events and news has emerged as an important topic. By nature, events and news have spatial and temporal extents, suggesting that they are localized social phenomena. Spatio-temporal big data from social media, traffic sensors, vehicle trajectories, and location-based social network check-ins provide rich information that helps address the topic, while at the same time bring challenges such as large volume and high variety.

The workshop is intended to bring together experts from the research community and industry to exchange ideas on opportunities, challenges and cutting-edge techniques for local events and news analytics.

Topics of Interest :

• Spatio-temporal data acquisition for local events and news
  
• Urban event detection and prediction on mobility and transportation data
  
• Detecting local environmental events such as disasters and environmental changes
  
• Online event monitoring and local trend analysis
  
• Spatio-temporal correlation analysis of events/news
  
• Social unrest prediction from social media
  
• Event chain analysis and event graphs
  
• Spatio-temporal event diffusion models
  
• Fusion of multiple data sources to analyze local events
  
• Local event detection and prediction using machine learning
  
• Truth discovery and fake news detection on social media

Paper Submission

We welcome submissions of both full research papers that present novel and original research results and short position papers that discuss challenges and opportunities.

Full research paper: up to 10 pages

Vision or position paper: up to 4 pages

All manuscripts should be submitted in PDF format and formatted using the ACM SIG Proceedings templates available at: http://www.acm.org/publications/proceedings-template

Submission link: https://easychair.org/conferences/?conf=lens2019

Important Dates