摘要：Technology assessment is a systematic examination of the effects on or of new developments such as technologies, processes, policies, organizations, and so on. In this paper, we present a systematic method for technology assessment, as a part of the suite of tools for Forecasting Innovation Pathways (FIP). We explore means to combine tech mining tools with human intelligence in several idea exchange rounds to uncover potential secondary effects, and array them in terms of likelihood and magnitude. Big Data is studied as the case study. This is on-going research. We are currently on the 2nd round of stage 2. Technology assessment is a necessary component of FIP. It identifies areas in which significant impacts may occur, their likelihood, and their significance. The forecaster must evaluate these impacts, consider measures to enhance or inhibit them, and factor them into the planning process for developing the technology.
摘要：If they find some words closely related to their target task of titles or abstracts, which are definedIf they find some words closely related to their target task of titles or abstracts, which are definedas intelligent sensitive words in this paper, they will decide to read these resources in depth tofind more useful information. These sensitive words may refer to special persons, organisations,programmes, terms and so on. All of these sensitive words and their featured information areincluded in our object. Basing on the above processes, we have determined that some featurescould be used for automatic computation.Downloaded by [National Science Library] at 03:28 19 January 2015 Profiling science and innovation policy by object-based computing 587? Authority of source. If one piece of news is released in an official website, then this resource ismore reliable than other resources from no