Fiscal foresight—the phenomenon that legislative and implementation lags ensure that private agents receive clear signals about the tax rates they face in the future—is intrinsic to the tax policy process. This paper develops an analytical framework to study the econometric implications of fiscal foresight. Simple theoretical examples show that foresight produces equilibrium time series with a ...

This study aimed to investigate the impact of strategic foresight on crisis management effectiveness at Greater Amman Municipality in Jordanian capital. The relied four dimensions measure foresight: environmental scanning, future vision, choice and scenarios building, while it identified effectiveness: response speed, team effectiveness, communication information flow resource mobilization. was...

In 2005, the Finnish Government took a decision in principle on the structural development of the public research system.This decision spurred the twomain funding agencies – theAcademy of Finland and the Finnish Funding Agency for Technology and Innovation (Tekes) – to carry out FinnSight 2015, a joint foresight exercise that would provide inputs to this strategy, foster collaboration between t...

A total of 48 preschoolers (ages 3, 4, and 5) received four tasks modelled after prior work designed to assess the development of "episodic foresight". For each task, children encountered a problem in one room and, after a brief delay, were given the opportunity in a second room to select an item to solve the problem. Importantly, after selecting an item, children were queried about their memor...

Opal is an EC funded project (IST-2000-28295) designed to establish if and how a computer application may support team building and partnership. The project focuses on the early stages of interaction where rapid and robust assessments must be made of potential partners’ competence, compatibility and confidence in each others’ future performance. One of the aims of the project is to assess wheth...

The objective of the project is to examine recent progress in two major areas of research – computer science and neuroscience, and their related fields – and to understand whether progress in understanding cognition in living systems has new insights to offer those researching the construction of artificial cognitive systems.