Trajectories for Future Cybersecurity Research

2018 ◽  
pp. 530-546
Author(s):  
Ronald Deibert
Keyword(s):  
Data Analysis ◽  
Social Science ◽  
Software Development ◽  
Computer Science ◽  
Social Science Research ◽  
Science Research ◽  
Evidence Based ◽  
The Core ◽  
Engineering Data ◽  
The Social

Cybersecurity is one of the most highly contested and yet important topics. How global cyberspace is secured, by whom, and for what purpose touches upon some of the most basic of political questions. This chapter provides a survey of some of the major topics around cybersecurity and highlights some of the outstanding questions or areas for further research. The survey is not meant to be exhaustive, but rather illustrative of some of the core international political questions where evidence-based and theoretically informed social science research will be sorely needed. Cybersecurity researchers will need to explore methods that are not typically within the social science toolkit: techniques drawn from computer science, engineering, data analysis, and software development. Doing so will require bridging disciplinary divides that are not easily overcome—a challenge that may, in reality, take generations to overcome.

Introduction: Themed Section on Evidence-Based Policy as a concept for Modernising Governance and Social Science Research

2002 ◽  
Vol 1 (3) ◽  
pp. 213-214 ◽  
Author(s):  
Miriam E David
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Evidence Based ◽  
Political Systems ◽  
Policy And Practice ◽  
Evidence Based Policy ◽  
The Social ◽  
Technological Developments

The concept of evidence-based policy and practice has many origins but its relation to the growth of the social sciences is arguably the most important. The uses of the social sciences for both understanding and transforming social policies and political systems has come to be assumed – complex and problematic though these may be. The concept is also closely linked with the concepts of globalisation, technological developments, and the ‘knowledge economy’. Thus the notions of ‘evidence’ and social science research have often been elided with political movements for social and economic change. In other contexts, these notions have been contextualised, so that ‘evidence’ and research are not deemed to be the same. Indeed, it is possible to argue that the notion of legal ‘evidence’ illustrates just how ideological it can be, how it can be used to marshal particular arguments and sustain a specific case rather than present it in a dispassionate manner.

Application of Cloud Technology in Social Science Research

2014 ◽  
Vol 926-930 ◽  
pp. 2670-2673
Author(s):  
Ying Ming Xu ◽  
Shu Juan Jin
Keyword(s):  
Cloud Computing ◽  
Social Science ◽  
Computer Science ◽  
Statistical Method ◽  
Social Science Research ◽  
Science Research ◽  
Cloud Technology ◽  
The Social

America science thought sociology is measurable, can be observed by the statistical method of the computer, which may change the human will can not be measured on the social thoughts. As the frontier of computer science, cloud computing can measure play an important role in the society. This article from the concept to calculate starting, development of cloud computing has made the detailed introduction to the influence of sociology, and a prediction of cloud computing application in sociology.

Introducing Students to the Generic Terminology of Social Research

Politics ◽  
2002 ◽  
Vol 22 (3) ◽  
pp. 175-186 ◽  
Author(s):  
Jonathan Grix
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Social Research ◽  
Social Science Research ◽  
Science Research ◽  
Logical Relationship ◽  
The Core ◽  
Constructive Dialogue ◽  
The Social ◽  
Core Concepts

The aim of this article is twofold: first, to present an accessible way of introducing students to the key generic terms of social science research. There is an obvious need for clarifying the generic tools and terminology of the social sciences across the disciplines, as academics argue past each other, using identical terms but attaching different meanings to them. Secondly, this article presents the interrelationship between the core concepts of social science (ontology, epistemology, methodology, methods and sources). This ‘directional’ and logical relationship needs to be understood, if students – and academics – are to engage in constructive dialogue and criticism of each others' work.

scholarly journals Controversy in Determining Criteria and Categories in Summarizing and Exploring The Research Data; Analysis of Assessment Procedures in The Social Science Research

2021 ◽  
Vol 58 (1) ◽  
pp. 4109-4115
Author(s):  
Zadrian Ardi Et al.
Keyword(s):  
Data Analysis ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Research Data ◽  
Mobile App ◽  
Data Types ◽  
The Social ◽  
Assessment Procedures

Determination of criteria and categorization of data in measurement is a crucial moment when processing research data. Overview, exploration and presentation of data will be effective and valid if the criteria set meets the requirements, both from a theoretical and statistical perspective. However, the fact that often arises, especially in beginner researchers made a mistaken in determining the criteria and categories. These errors are often indicated in the form of incomprehension and negligence of researchers in placing data types with the type of methodology. This paper describes various errors in determining criteria and categories of research data, determining criteria and categories of research data, and suggesting their meaning, especially in social science research. This research involved respondents from four different types of assessments, which is 428 respondents from Daharnis-Zadrian Majoring Choices Inventory (DZ-MCI) and 174 respondents from the Acceptability of Mental-Health Mobile-App Survey (AMMS), as well as 1190 respondents from the development of DLAS and DLESS inventory. The results of the study show that the determination of categories and criteria in data processing greatly impacts the truth of data exposure and advanced data analysis. Implications of these studies for determining categories and criteria of research on social science research are discussed

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