Scalable real-time crisis mapping and analytics of social media streams for disaster management and breaking news

Real-time geoparsing of social media streams (e.g. Twitter, YouTube, Instagram, Flickr, FourSquare) is providing a new 'virtual sensor' capability to end users such as emergency response agencies (e.g. Tsunami early warning centres, Civil protection authorities) and news agencies (e.g. Deutsche Welle, BBC News). Challenges in this area include scaling up natural language processing (NLP) and information retrieval (IR) approaches to handle real-time traffic volumes, reducing false positives, creating real-time infographic displays useful for effective decision support and providing support for trust and credibility analysis using geosemantics. I will present in this seminar on-going work by the IT Innovation Centre over the last 4 years (TRIDEC and REVEAL FP7 projects) in building such systems, and highlights our research towards improving trustworthy and credible of crisis map displays and real-time analytics for trending topics and influential social networks during major news worthy events.

Intro to Matlab for Oceanography: Micro-lectures

This is a collection of 12 micro-lectures, to be used by students in advance of practical sessions. Durations range for 3 min to 10 min. Topics include: ****** 1. Introduction ****** 2. Data classes ****** 3. Matrices ****** 4. Getting help ****** 5. Index notation ****** 6. 1- and 2-dimensional data ****** 7. 3-dimensional data ****** 8. Booleans (True/False) ****** 9. Designing a programme (Algorithms) ****** 10. Flow control: If-then statements ****** 11. Flow control: For-do loops ****** 12. Making nicer figures ******