Six principles of future learning environments have emerged from the CSCL research community. These include: greater “sightlines” into learner, teacher and peer cognition; an increasingly salient role for modeling; increased connectivity between people, concurrent with a greater sense of individualization or “one-to-oneness”; fluid contextual mobility in learning, such as between virtual and re...

This note is meant to be helpful to Grand Challenge 5 by offering one mathematical solution to the general problem of relating mind to body in a way that bears on the biological issues of brain function and the symbolic/non-symbolic debate in AI. There are two significant spin-offs of this: one into the practice of physical measurement, and the other into the Philosophy of Science. The author i...

This paper describes an automatic liver segmentation algorithm for extracting liver masks from CT scan volumes. The proposed method consists of two stages. In the first stage, a multi-layer segmentation scheme is utilized to generate 3D liver mask candidate hypotheses. In the second stage, a 3D liver model, based on the Principal Component Analysis, is created to verify and select the candidate...

This panel reexamines the perennial debate on the relevance of IS from the point of view of the value of IS research, who benefits from it and how these benefits are realized. Following up on previous panels, it promotes a discussion on the kinds of knowledge the IS community produces, the visibility of the IS research, its contributions and what could or should the IS community be working on i...

It is a grand challenge to model the emergence of swarm intelligence and many principles or models had been proposed. However, existing models do not catch the nature of swarm intelligence and they are not generic enough to describe various types of emergence phenomena. In this work, we propose a contradiction-centric model for emergence of swarm intelligence, in which individuals’ contradictio...

“One of the better aspects of human nature is our drive to seek out and conquer challenges. We seem imbued with a desire to formulate problems of the highest degree of difficulty and then to relentlessly pursue their solution. The identification and pursuit of Grand Challenges has been a hallmark of the high-performance computing arena for over a decade. In recent years, many other technical co...

Editor’s note: This editorial is part of a series written by editors and co-authored with a senior executive, thought leader, or scholar from a different field to explore new content areas and grand challenges with the goal of expanding the scope, interestingness, and relevance of the work presented in the Academy of Management Journal. The principle is to use the editorial notes as “stage sett...

This paper surveys issues around several grand challenge problems for the understanding of the emergence and evolution linguistic communication, and discusses possible approaches. The identi_ed problems the emergence of (1) advanced use of deixis, gesture, and reference; (2) predication; (3) negation; (4) syntactic categories; and (5) compositionality.

In this work we present the solution to the DEBS’2013 Grand Challenge, as crafted by the joint effort of teams from the Technion and TU Dortmund. The paper describes the architecture, details the queries and offers our observations regarding the appropriate way to trade-off high-level processing with time constraints.