ORCID Profile
0000-0003-0583-8163
Current Organisation
Defence Science and Technology Group
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: IEEE
Date: 06-2010
Publisher: Informa UK Limited
Date: 16-03-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2009
Publisher: IEEE
Date: 06-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2014
Publisher: Pluto Journals
Date: 2006
DOI: 10.1080/08109020601030035
Abstract: This paper outlines a critical reflexive approach to an assessment of modelling/simulation tools. The concepts of terrorism and terrorism threat in modelling literature are analysed and compared with the contesting definitions of terrorism in political science and counter‐terrorism discourse. Possible social implications of using particular concepts of terrorism and terrorism threat are identified. This study discusses how modellers provide better support to counter‐terrorism analysis and decision making, by taking the above‐mentioned approach.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2008
DOI: 10.1109/MIS.2008.72
Publisher: Pluto Journals
Date: 03-04-2015
DOI: 10.1080/08109028.2015.1102497
Abstract: Social media (SM) are fast becoming a locus of disaster-related activities that range from volunteers helping locate disaster victims to actions that are malicious and offensive, from sincere expressions of empathy towards affected communities to consuming disaster imagery for mere entertainment, from recovery support funds being collected to online marketers preying on the attention afforded to a disaster event. Because of the ersity and sheer volume of both relevant and irrelevant information circulating throughout SM, prioritising an affected population’s needs and relevant data is an increasingly complex task. In addition, SM data need to be interpreted as manifestations of social processes related to community resilience, ersity and conflict of interests, and attitudes to particular response strategies. The use of SM in disasters generates a growing need for domain-specific technological solutions that can enhance public interests as well as address the needs of both disaster managers and the affected population. This task requires integrating social sciences into the development of tools that enable disaster SM data detection, filtering, analysis and representation. The aim of this paper is to contribute to a critical-constructive dialogue between social scientists and developers of SM analytic capabilities. In the context of historical, anthropological and sociological research on disaster, this paper outlines concepts of the disaster paradigm, data as a product of social and representational practices, and disaster context, and discusses their heuristic significance for the analysis of disaster SM as a manifestation of social and cultural practices.
Publisher: Informa UK Limited
Date: 13-03-2022
Publisher: Pluto Journals
Date: 2010
DOI: 10.1080/08109028.2010.544076
Abstract: Technology has penetrated the social fabric of security practices so deeply that it is often used without much reflection on its role, significance and implications. This naturalisation of technology makes it difficult for practitioners to develop their own vision of technology. They may become subject to the coercive power of technology, and appropriate the narrow technological paradigm embodied in their tools. This, in turn, makes it difficult for technology developers to understand practitioner needs and to assess the transformative potential of technology. This paper aims to develop a conceptual framework for understanding the role of technology in intelligence. The focus is on the technological capabilities supporting an analysis of sociocultural processes related to so‐called ‘new threats’. The two main problems in intelligence nowadays are deciding what data are relevant and how they should be analysed. The major issue is not the collection of information, but turning information into knowledge and action. Accordingly, the practitioner thinking about technological tools can be usefully informed by the concept of technology as a mediator between areas of knowledge production and consumption. This concept highlights technology’s ability to affect intelligence analysts’ understanding of threats, identification of data sources and information gaps, and their interaction with colleagues and consumers of intelligence products.
Publisher: SAGE Publications
Date: 2019
Abstract: This paper aims to contribute to the development of tools to support an analysis of Big Data as manifestations of social processes and human behaviour. Such a task demands both an understanding of the epistemological challenge posed by the Big Data phenomenon and a critical assessment of the offers and promises coming from the area of Big Data analytics. This paper draws upon the critical social and data scientists’ view on Big Data as an epistemological challenge that stems not only from the sheer volume of digital data but, predominantly, from the proliferation of the narrow-technological and the positivist views on data. Adoption of the social-scientific epistemological stance presupposes that digital data was conceptualised as manifestations of the social. In order to answer the epistemological challenge, social scientists need to extend the repertoire of social scientific theories and conceptual frameworks that may inform the analysis of the social in the age of Big Data. However, an ‘epistemological revolution’ discourse on Big Data may hinder the integration of the social scientific knowledge into the Big Data analytics.
Publisher: Informa UK Limited
Date: 13-03-2022
No related grants have been discovered for Lucy Resnyansky.