Central themes

We want to set off at least two hours for each central theme, so we can go somewhat in depth on each.

We have 7 sessions, with room for two central themes each. But to leave room for some deeper exercises, we may want to limit ourselves to around 10 themes.

Here are some candidates. Please add more, or suggest to delete or merge.

When we start to approach consensus, I can create separate pages for each theme, where we can elaborate further.

Emergency Management

what is EM, emergencies/crises/disasters; em.phases; em.stakeholders; em.information needs and uses
practical: introducing a case that runs through the course?; trying out some collaborative EM platform like Ushahidi

Big Data

what is big data; big data sources; dangers of big data: privacy, surveillance, societal;
big data challenges; big data technologies
practical: introduction to Spark?! running a Spark cluster in the cloud?

Emergency data sources

available data sources: open data, linked open data, sensor/IoT data, social data, government data
harvesting, cleaning, curating, recombining
technical architectures for big data management
practical: maybe using a semi-automatic lifting tool?; exercise using queries over Wikidata?!

Sensors / IoT

vocabularies for sensor networks/IoT

Social media

twitter and social media sources
harvesting, filtering, etc.
social network analysis
other types of analysis? (but keep NLP separate)
practical: using some existing SM harvesting and analysis tool; introduction to Spark streaming of Twitter?!
practical: UiB has a collaboration agreement with IBM giving us access to BlueMix, which has several NL and sentiment analysis tools

Natural language processing

maybe combine with social media
using sentiment analysers
practical: using sentiment analysers?

Machine learning

(ALO:) be careful because this is the topic of other courses.
perhaps introductory lecture combined with practical session using higher-level ML tool

Visualisation

Dashboards

maybe combine with visualisations