Goal Recognition Design

Goal recognition design (GRD) is the task of redesigning environments in order to facilitate online goal recognition. As such, while goal recognition tools are typically aimed at efficiently analyzing online observations of agents (human or automated) in order to infer their objective, GRD focuses on manipulating the environments in which agents act to promote early recognition. 

In a nutshell, given a model of a domain and a set of possible goals, a solution to a GRD problem determines: (1) to what...

How can we tame the IoT to promote the public good?

Dr. Francine Berman
Chair, Research Data Alliance / US
Edward P. Hamilton Distinguished...

Towards a New Collaborative Economy: Decentralizing Power and Value with Blockchain

Today's Collaborative Economy relies on centralized hubs for data collection, where communities are disempowered, and economic profits are concentrated in the owners of the infrastructure. In this talk, Samer Hassan, researcher at Berkman Klein...

Abstract:

In this talk I will present several works on the interplay between machine learning and social dynamics. These revolve around three themes.

The first theme explores how machine learning can be applied to predicting the outcomes of social processes. For the task of predicting the spread of information in networks, we propose a hybrid approach for discriminatively training generative models of information propagation. Learning and inference in this approach can be done efficiently via a certain kernel embedding technique, which can, in...