Informações:

Sinopse

Geologists, biologists, climatologists, seismologists and other scientists nowadays use a diversity of sensing devices and measuring instruments to record aspects of the earth, in order to investigate, predict and reason about a particular aspect of the environment. A major part of their research involves mapping, matching and noticing patterns and anomalies from the masses of datasets that they collect over time. However, it is very difficult to become competent at accomplishing these forms of analyses. Local and global connections have to be continuously made when moving between the physical and digital worlds. How might we help students (and scientists) learn how to do this kind of complex interlinking and high-level reasoning? In my talk, I will describe an ongoing project I am involved in at Indiana University where a team of computer scientists, interaction designers and environmental scientists are developing networked mobile recording/measuring/communication tools, intended to be used by groups of stu