1,721,008 research outputs found
Expert biases in technology foresight. Why they are a problem and how to mitigate them
No full textThe paper addresses an issue largely discussed in the field of Forecasting and in many future-oriented scientific and professional disciplines, but less frequently considered in the Foresight literature, particularly in the technology foresight field- i.e. the extent to which biases of human experts influence the foresight process. The paper reviews the literature on cognitive biases and identifies the main areas of technology foresight in which biases are most likely to materialize. It offers a number of examples in which these biases may indeed create distortions. It also reviews the potential impact of several recently introduced methods, in the field of technology foresight and in related areas, to mitigate the distortions and calls for future research in this new field of investigation
An axiomatic treatment of enlarged separation portfolios and treasurer’s portfolios (with applications to financial synthetics)
Full text linkExpanded separation portfolios ( Se ) and Treasurer’s portfolios T( Se ) are a sect of themselves. They arise out of risk-free assets and risky portfolios like other mutual funds. But their distinctive features set them apart from the common lot. This paper puts forth, firstly, a down-to-earth axiomatic that allows a complete formalization of the class of Se portfolios. Secondly, simple separation portfolios are featured and their differences with ( Se ) are highlighted. Next, the category of T( Se ) will be defined and their main properties brought to light. Last of all, there will be an expansion on the building of financial synthetics by means of enlarged separation portfolios.enlarged separation portfolios, mutual funds, separation portfolios, treasurer’s portfolios, financial synthetics, portfolio management
You solve, I learn: a novel approach to e-learning in collaborative crowdsourcing
No full textIn collaborative crowdsourcing, the problem of maintaining solvers’ motivation and participation plays a crucial role. It has been noticed that one of the major issues is related to the scarce capacity of novices to face expert users in finding good solutions, which leads to an high rate of community abandonment. In order to overcome such a problem the best solvers should be asked to illustrate the rationale of their solutions and to share the adopted heuristics before receiving the award. This procedure allows the less expert to learn by doing and see how best solvers innovate products.
The paper presents the “You solve, I learn” approach and how it has been implemented in an original platform able to promote innovation, creativity and effective knowledge sharing. The software use and achieved results are demonstrated through a case study
At the Roots of an Interdisciplinary Radical Innovation: Preliminary Insights from the Patenting Activity in the Bioinformatics Industry
No full textINNOVATIONWAY®: a novel methodology for radical innovation
No full textCreative methods (e.g. brainstorming or lateral thinking) for supporting the design process boost the ability to generate new ideas but fail to filter them according to their content and quality, while structured methodologies (TRIZ) give rigorousness to the inventive process, with shortcomings in terms of time and cost. To overcome the limits of both approaches, a new methodology, labelled InnovationWay®, have been built combining a research around Functional Analysis carried out at the School of Engineering of the University of Pisa, with the experience in the design and implementation of new processes of Consortium Quinn. The InnovationWay® methodology has now been tested in several settings giving high quality results astonishingly rapid and massive
Functional vector space
No full textRecent developments in Functional Analysis witness the emergence of a new paradigm. Formal models seem destined to replace the standard taxonomical and descriptive approaches. In this paper we propose a new representation of the function space as a vector space. After discussing the rationale for the introduction of a formal architecture, we construct the vector space of functions (actions on flows) and individuate in physical and logical laws the ground for its generating vector basis. Finally, we discuss some key and unresolved issues and open several avenues for further research in the exciting and fast moving field of formal modelling of function spaces
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