Title : Political opinion shaping in social media

Presenter Eric Araújo
Abstract So, politics is a very hot topic again and again in your timeline. And yes, it is becoming like a game. We want to know who is influencing whom, or who is leading campaigns. But more interesting is the question of how are the mass of people making decisions and reacting towards the events that happen day after day? I’ll present a project to create an anthropological bot, that tries to get information from the environment (in my case, Twitter) and brings up insights and information that is not possible to be gotten just evaluating a sample of tweets. A model for political opinion will be presented as a part of the system under development.

Title : Predicting Individual Trip Destinations With Artificial Potential Fields

Presenter Alessandro Zonta
Abstract I will present a method to model the intended destination of a subject in real time, based on a trace of position information and prior knowledge of possible destinations. In contrast to most work in this field, it does so without the need for prior analysis of habitual travel patterns. The method models the certainty of each POI by means of a virtual charge, resulting in an artificial potential field that reflects the current estimate of the subject’s intentions. The virtual charges are updated as new information about the subject’s position arrives. We experimentally compare a number of update rules with various parameter settings, showing that it is important to take the distance to a potential destination into account when updating the charge.