جستجوی مقالات مرتبط با کلیدواژه "فناوری های همگرا" در نشریات گروه "علوم انسانی"

The leading subject of the present research is that the system of Mahdavi training and education is itself affected by various components including the system of science and technology in spite of the strategic role in transmitting the revealed thought to the society, and we expect that the emerging trend of technological convergence has a fundamental impact on it; however, these impacts cannot be easily recognized and most importantly, the destiny of the mentioned system in the face of convergent technologies are indistinct. To find an answer to this question, the present qualitative research attempts to depict the possible futures in this trend using Delfi and scenario writing methods. In this regard, at first, a list of macro-trends of technological convergence has been counted and prioritized. In the following, with the coincidence of the uncertainty principle observing these trends, four scenarios of the future of the system of Mahdavi training and education (including the good tree, Solomon’s kingdom, corrupt tree, and Ibrahim in the fire). The findings of this research can guide the authorities in charge of system of Mahdavi and religious training and education in the futuristic face of the development of science and technology especially the convergent technologies.

The emerging wave of convergent technologies (NBIC) that is derived from combining four advanced technologies (Nano-technology, Bio-technology, Information technology & Cognitive sciences), would have a rich and revolutionary impact on all human constructs such as organization and administrative system. The present study seeks to foresight the presence of technological convergence in Iranian administrative system by identifying and prioritizing the factors affecting this flow. This qualitative & descriptive study uses “Environmental Scanning” technique to identify the factors affecting technological convergence in administrative system and then these factors are prioritized, by “Social Network Analysis” technique and UCINET software. Then, by selecting two main factors and using the scenario-building technique, the future scenarios of Iranian administrative system is drawn. Findings show that the conceptual network of factors influencing the convergent administrative system in Iran consists of seven main elements. Among these, the two factors of "technological capacities" and "political environment" were selected with the highest value of degree centrality and betweenness centrality indicators as priority factors. Finally four scenarios for the future of technological convergence in Iranian administrative system were designed (including pivot / follower / isolating / silent), by analyzing the interaction of uncertainties related to these two factors. The study shows that Iranian administrative system will be affected by NBIC, But the quality of this affection is depended on political conditions and technological capacities.

This study aims assessment interdisciplinary relations in nanotechnology, biotechnology, cognitive and information articles using co-citation technique.

This study in object aspect, is applied, in method aspect is descriptive and use co-citation technique. Bibliographic data of Iranian English articles published between 2001 and 2015, including 68,864 records in nano, bio, info and cognitive sciences fields indexed Scopus. A number of measures were used for the relationship between scientific fields, including: inclusion index, homogeneous index, maximum and minimum spanning tree, impacted and effected fields.

The highest scores in ‌ inclusion index belong to information technology in "info - bio" compound and biotechnology lowest rating in "cog - bio" compound. The highest numbers of author cited belong to the combined areas of "Nano - Info - bio" and the least number belong to "cog - nano - info" compound. Information technology affected by other areas and nanotechnology impact on other areas.

Bio-nanotechnology fields have the potential greatly to the benefit of the co-authors to cite their articles. Cited authors patterns in the information technology articles is most similar to the bio-technology articles. Nanotechnology, biotechnology and cognitive articles have many cited authors that can use in information technology articles for citing. Nanotechnology articles have many cited authors that the other fields can use them for citing. In compound tertiary "nano - info - bio" be seen more coordination and interdisciplinary according to the cited authors and there is greater potential to utilize the authors to citing in their papers.

The administrative system, as one of the key development infrastructures, is itself influenced by other subsystems, including the science and technology system; and one of the potentially influential streams on administrative system is "technological convergence" or "convergent technologies".

The present study was designed with the aim of discovering the appropriate response to this fundamental question: "How will be the impact of converging technologies on the future of Iranian ideal administrative system?"

In this qualitative and descriptive research, at first, for designing a model of Iranian ideal administrative system, 10 superiority legal documents were analyzed and codified by grounded theory approach. Subsequently, the views of Iranian experts in convergent technologies about the possible impacts of these technologies on administrative system were collected through interviews and analyzed using social network analysis technique and UCINET software.

Main Dimensions of Iranian Ideal Administrative System were identified in elements such as inputs, infrastructures, resources, processes, outputs and feedback, while the impact of converging technologies on these six dimensions was confirmed with a density of 0.87. The highest value of internal (beeing affected) and external (affecting) Degree Centrality is related to "processes" and "robotics and artificial intelligence" respectively, also "human-machine interafaces" has the highest value of the betweennes centrality indicator.

All six dimensions of Iranian ideal administrative system will be heavily affected by convergent technologies and it is necessary to establish suitable mechanisms (such as education, regulations, credits, etc.) to effectively deal with this future in different parts of the system.

The present study attempts to introduce the role and function of the government in innovative capability building under the influence of the technological convergence flow as a foresight study and introduce the predictable futures of convergent technologies (NBIC). The approach of this research is qualitative and descriptive and has been used in morphological and scenario-building strategies. Thus, the most common mechanisms of public support in the process of innovation capability enhancement are identified and modeled; in parallel, the most important achievements of convergent technologies are derived from one of the valid models. Then, the intensity of the impacts of technological convergence on each aspect of governmental support is estimated through expert panel & morphological analysis techniques. Finally, by implementing the scenario-building technique, three alternative scenarios of the future (including minimal, moderate, and maximum scenarios) are designed. The results show that by utilizing intelligently the revolutionary capacities of convergent technologies, the governments can establish the desirable future of the role of governance in development of innovative capabilities, and this position can be evolved strongly compared to the current situation.

The present study attempts to introduce the role and function of the government in innovative capability building under the influence of the technological convergence flow as a foresight study and introduce the predictable futures of convergent technologies (NBIC). The approach of this research is qualitative and descriptive and has been used in morphological and scenario-building strategies. Thus, the most common mechanisms of public support in the process of innovation capability enhancement are identified and modeled; in parallel, the most important achievements of convergent technologies are derived from one of the valid models. Then, the intensity of the impacts of technological convergence on each aspect of governmental support is estimated through expert panel & morphological analysis techniques. Finally, by implementing the scenario-building technique, three alternative scenarios of the future (including minimal, moderate, and maximum scenarios) are designed. The results show that by utilizing intelligently the revolutionary capacities of convergent technologies, the governments can establish the desirable future of the role of governance in development of innovative capabilities, and this position can be evolved strongly compared to the current situation.

Skilled manpower is a key competetive advantage for any organization toward a knowledge-based development. "Skill Training System", with such an important duty, is under influence of science & technology development, so it is neccesary to investigate the effects of new technological concepts as "Technological Convergence". This study uses "Environmental Scanning" to foresight  "Convergent Technologies" in skill training system and the results show that all components of the system (Inputs, Processes, Outputs & Outcomes) will be changed by those technologies (Nano, Bio, ICT & Cognitive Sciences) in future.