New foresight to “Exploration Revolutions”:

Foresight: Rapid Data Exploration Through Guideposts

Current tools for exploratory data analysis (EDA) require users to manually select data attributes, statistical computations and visual encodings. This can be daunting for large-scale, complex data. We introduce Foresight, a visualization recommender system that helps the user rapidly explore large high-dimensional datasets through “guideposts.” A guidepost is a visualization corresponding to a...

Three experiments: The exploration of unknown unknowns in foresight

Article history: Received 28 February 2014 Received in revised form 20 December 2015 Accepted 27 December 2015 Available online 10 March 2016 Emerging uncertainties present a challenge to decision making. On the basis of a review of existing scenario methods, we examine how ontological uncertainty, that is, the situation in which we do not know what we do not know, is included in scenario proce...

Technological Revolutions

In skill-biased (de-skilling) technological revolutions learning investments required by new machines are greater (smaller) than those required by preexisting machines. Skill-biased (de-skilling) revolutions trigger reallocations of capital from slow(fast-) to fast(slow-) learning workers, thereby reducing the relative and absolute wages of the former. The model of skill-biased (de-skilling) re...

Philosophical Revolutions

Analytical approach to model of scientific revolutions

The model of scientific paradigms spreading throughout the community of agents with memory is analyzed using the master equation. The case of two competing ideas is considered for various networks of interactions, including agents placed at Erd˝ os-Rényi graphs or complete graphs. The pace of adopting a new idea by a community is analyzed, along with the distribution of periods after which a ne...