Story:Web : Co-authoring Immersive Climate Change Stories using Museums as Big Data

Agent Stories: Authoring Computational Cinematic Stories

Writers of stories for both print and screen have a deeply ingrained tendency to construct stories for an audience to experience the finished work in a fixed linear fashion. Although there are starting to be some examples of fixed non-linear multimedia works, viewing a cinematic story must always be linear, as a linear sequence of pictures and sounds conveying some meaning. However, it should b...

Authoring Personalized Interactive Museum Stories

CHESS is a research prototype system aimed at enriching museum visits through personalized interactive storytelling. Aspiring to replace traditional exhibit-centric descriptions by story-centric cohesive narrations with carefully-designed references to the exhibits, CHESS follows a plot-based approach, where the story authors create stories around pre-selected museum themes. In this paper we pl...

Opinion: Big data has big potential for applications to climate change adaptation.

The capacity to collect and analyze massive amounts of data is transforming research in the natural and social sciences (1). And yet, the climate change adaptation community has largely overlooked these developments. Here, we examine how “big data” can inform adaptation research and decision-making and outline what’s needed from the adaptation community to maximize this opportunity. We contend ...

Climate Change Prediction Using Data Mining

Great progress has been made in the effort to understand and predict El Nino, the anomalous warming of the sea surface temperature (SST) along the equator off the coast of South America which has a strong impact on the climate change over the world. Advances in improved climate predictions will result in significantly enhanced economic opportunities, particularly for the national agriculture, f...

Climate and climate change data for Albania