scholarly journals Sense-making Analysis: A Framework for Multi-Strategy and Cross-Country Research

2021 ◽  
Vol 20 ◽  
pp. 160940692199890
Author(s):  
Victoria Wibeck ◽  
Björn-Ola Linnér
Keyword(s):  
Common Ground ◽  
Social Science Research ◽  
Science Research ◽  
Sense Making ◽  
Transnational Governance ◽  
Research Areas ◽  
Scientific Analysis ◽  
Multiple Meanings ◽  
Cross Country ◽  
Methodological Considerations

While sense-making is a frequently used concept in everyday discourse and in several social science research areas, discussions about how the concept translates into methodology are currently scarce. This paper introduces a framework for analyzing how actors in different cultural contexts make sense of global concepts. By this we refer to expressions that are used and expected to find a common ground worldwide, yet are equivocal in their multiple meanings and connotations. The paper discusses methodological considerations of such a sense-making analysis. The paper cites examples from a mixed-methods, cross-country, sense-making analysis of societal transformations toward sustainability—a concept promoted by the United Nations 2030 Agenda. We identify three steps in a comprehensive sense-making analysis: 1) mapping relevant societal arenas for sense-making; 2) vertical analyses; and 3) horizontal analyses. We outline how different datasets can be approached vertically, focusing on the use of framing, metaphors, categorizations, and stories. This forms the basis for the horizontal analysis of societal narratives and recurrent themes across the different data sources. By presenting comprehensive vertical and horizontal analyses, researchers and state and non-state actors can gain insight into the broader varieties of sense-making that can enrich scientific analysis, enhance transparency and effectiveness in international relations, and support transnational governance and civil society collaborations.

Measuring the Unmeasurable? Taking Stock of QoG Measures

2021 ◽  
pp. 92-114
Author(s):  
Nicholas Charron
Keyword(s):  
Social Science ◽  
Quality Indicator ◽  
Social Science Research ◽  
Science Research ◽  
Wide Scope ◽  
Scientific Impact ◽  
History Of ◽  
Cross Country ◽  
Future Work

This chapter discusses a wide scope of the available indicators of quality of government. It begins with a brief history of the development of the indicators and their scientific impact on social science research. The chapter posits a typology of the various ways in which indicators of governance can differ and implications of such differences. The chapter then reveals the degree to which contemporary cross-country indicators of corruption in particular correlate. Next, several well-established critiques of contemporary data are presented. The chapter concludes with several comments on what makes a good quality indicator and puts for several suggestions for future work in this ever-growing field.

scholarly journals THORPEX Research and the Science of Prediction

2017 ◽  
Vol 98 (4) ◽  
pp. 807-830 ◽  
Author(s):  
D. B. Parsons ◽  
M. Beland ◽  
D. Burridge ◽  
P. Bougeault ◽  
G. Brunet ◽  
...  
Keyword(s):  
Research Program ◽  
Weather Prediction ◽  
Social Science Research ◽  
Academic Research ◽  
Science Research ◽  
Academic Community ◽  
High Impact ◽  
Research Areas ◽  
Predictive Skill ◽  
High Impact Weather

Abstract The Observing System Research and Predictability Experiment (THORPEX) was a 10-yr, international research program organized by the World Meteorological Organization’s World Weather Research Program. THORPEX was motivated by the need to accelerate the rate of improvement in the accuracy of 1-day to 2-week forecasts of high-impact weather for the benefit of society, the economy, and the environment. THORPEX, which took place from 2005 to 2014, was the first major international program focusing on the advancement of global numerical weather prediction systems since the Global Atmospheric Research Program, which took place almost 40 years earlier, from 1967 through 1982. The scientific achievements of THORPEX were accomplished through bringing together scientists from operational centers, research laboratories, and the academic community to collaborate on research that would ultimately advance operational predictive skill. THORPEX included an unprecedented effort to make operational products readily accessible to the broader academic research community, with community efforts focused on problems where challenging science intersected with the potential to accelerate improvements in predictive skill. THORPEX also collaborated with other major programs to identify research areas of mutual interest, such as topics at the intersection of weather and climate. THORPEX research has 1) increased our knowledge of the global-to-regional influences on the initiation, evolution, and predictability of high-impact weather; 2) provided insight into how predictive skill depends on observing strategies and observing systems; 3) improved data assimilation and ensemble forecast systems; 4) advanced knowledge of high-impact weather associated with tropical and polar circulations and their interactions with midlatitude flows; and 5) expanded society’s use of weather information through applied and social science research.

Sense-making in feminist social science research

1993 ◽  
Vol 16 (1) ◽  
pp. 65-81 ◽  
Author(s):  
Vickie Rutledge Shields ◽  
Brenda Dervin
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Sense Making

Multi-Agent Systems Research and Social Science Theory Building

2007 ◽  
pp. 101-110
Author(s):  
H. Verhagen
Keyword(s):  
Social Science ◽  
Organization Theory ◽  
Social Science Research ◽  
Science Research ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Research Areas ◽  
Systems Research ◽  
Science Theory ◽  
Multi Agent

This chapter describes the possible relationship between multi-agent systems research and social science research, more particularly sociology. It gives examples of the consequences and possibilities of these relationships, and describes some of the important issues and concepts in each of these areas. It finally points out some future directions for a bi-directional relationship between the social sciences and multi-agent systems research which hopefully will help researchers in both research areas, as well as researchers in management and organization theory.

The collective method: collaborative social science research and scholarly accountability

2017 ◽  
Vol 18 (6) ◽  
pp. 671-688 ◽  
Author(s):  
Jessica W Pardee ◽  
Alice Fothergill ◽  
Lynn Weber ◽  
Lori Peek
Keyword(s):  
Hurricane Katrina ◽  
Social Science Research ◽  
Applied Ethics ◽  
Science Research ◽  
Research Process ◽  
Strategic Issues ◽  
Design And Implementation ◽  
Research Transparency ◽  
Collective Method ◽  
Methodological Considerations

This article conceptualizes the collective method to describe how 12 scholars worked collaboratively to study the effects of displacement following Hurricane Katrina. The collective method is defined as an integrated, reflexive process of research design and implementation in which a diverse group of scholars studying a common phenomenon-yet working on independent projects-engage in repeated theoretical and methodological discussions to improve (1) research transparency and accountability and (2) the rigor and efficacy of each member’s unique project. This process generates critical discussions over researchers’ and respondents’ positionality, the framework of intersectionality, and applied ethics. Informed by feminist theoretical and methodological considerations of reflexivity, insider-outsider positionality, power relations, and social justice, the collective method can enhance scholars’ standpoints regarding philosophical, ethical, and strategic issues that emerge in the research process.

Areas for Postwar Research

1945 ◽  
Vol 39 (4) ◽  
pp. 741-757
Author(s):  
Joseph E. Mclean
Keyword(s):  
Public Administration ◽  
Social Science Research ◽  
Science Research ◽  
American Political Science Association ◽  
Research Committee ◽  
The Public ◽  
Research Areas ◽  
The Social ◽  
The Subject ◽  
American Political Science

One of the principal recommendations contained in the recent report of the Research Committee of the American Political Science Association was that mature scholars “be influenced as to the subjects selected for research by the findings of research panels and committees.” Acceptance of this general recommendation may be facilitated by the tenor of the findings and suggestions of two research committees of the Social Science Research Council—the Committee on Government and the Committee on Public Administration. The report of the former committee, based upon three years of exploration of research areas, was published in October, 1944. The report of the Public Administration Committee will presently be published by the Public Administration Service under the title “Research in Public Administration, 1934–1945,” along with a report prepared by Professor John M. Gaus surveying general research developments in the area since 1930. Although essentially a review of major accomplishments and past activities, the report of the Public Administration Committee nevertheless outlines a research program of enduring and continuing interest. The scope and nature of the research proposals advanced by both committees are the subject of this brief review.

scholarly journals The Word List Distribution in Social Science Research Articles

2017 ◽  
Author(s):  
Arab World English Journal ◽  
Sorawut Chanasattru ◽  
Supong Tangkiengsirisin
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Word List ◽  
Science Research ◽  
Research Articles ◽  
General Category ◽  
Word Families ◽  
Research Areas ◽  
Flash Cards ◽  
Word Lists

This study investigates the distribution and coverage of words in New General Service List (NGSL) and the Academic Word List (AWL) in social science research articles. Sixty-four open-access English social science research articles published in 2013-2015 in the ScienceDirect General category were selected and compiled to the Social Science Corpus (SSC). The AntWordProfiler 1.4.0 was utilized to calculate the frequency and coverage percentage of words from the two word lists. Word families in level 1 and level 2 of the NGSL were utilized over 70 percent, whilst level 3 word families were used around 60 percent of the entire SSC. Similarly, 99.65 percent of the AWL word families were discovered. Regarding coverage, the NGSL word families accounted for over 70 percent and the AWL word families covered around 14 percent revealing significant coverage of both word lists. The top 10 NGSL word families represented journals subject areas from which they were derived, whilst the top 10 AWL word families were used more repeatedly and linked with social science research areas. The finding of high distributions and coverage corroborated that the NGSL and the AWL significantly contribute to vocabulary pedagogy in preparing students for reading and writing social science research articles. Additionally, some pedagogical implication guidelines of the NGSL and the AWL such as flash cards, quizzes, and written tests were also introduced.

Future directions for mobile augmented reality research: Understanding relationships between augmented reality users, nonusers, content, devices, and industry

2018 ◽  
Vol 7 (1) ◽  
pp. 131-149 ◽  
Author(s):  
Tony Liao
Keyword(s):  
Augmented Reality ◽  
Social Science ◽  
Science Fiction ◽  
Social Science Research ◽  
Science Research ◽  
Mobile Technologies ◽  
Mobile Augmented Reality ◽  
Mobile Media ◽  
Research Areas ◽  
Theoretical Perspectives

As the field of mobile media studies continues to grow, researchers are focusing on new developments and trends in mobile technologies. One of these areas that has been garnering interest is mobile augmented reality (AR) technologies. While much of the earliest research in AR was primarily focused on answering computer science and engineering related questions, social science and humanities scholars have started taking note of AR as perhaps the next major development in mobile media. Given that much of this research has been distributed across interdisciplinary lines and from many different theoretical perspectives, this piece identifies some early lines of media, communication, and social science research into AR and identifies key themes and areas of focus: AR users/nonusers, AR devices, AR content, and AR industry. By organizing these lines of research, this manuscript serves as a call for specific future areas of research, suggests new approaches that researchers could take to explore interrelationships between these areas, and advocates for the necessity of research that examines different levels (micro/meso/macro) of analysis within AR. The goal of this piece is to advance a framework that informs and motivates mobile scholars to consider and integrate AR into their research areas, at a moment where it is in the process of moving from science fiction to material reality, from blueprint to prototype, and from laboratory to homes, cars, workplaces, and pockets.

Usefulness of Netnography in the Digital Banking Context

2022 ◽  
pp. 280-294
Author(s):  
Irina Dimitrova ◽  
Peter Öhman
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Social Science ◽  
Real Time ◽  
Research Method ◽  
Social Science Research ◽  
Science Research ◽  
Customer Feedback ◽  
Research Areas ◽  
Financial Research

This chapter discusses the usefulness of netnography as a research method in the digital banking context. Netnography has become a relative attractive data collection and data analysis method in some social science research areas but is still relatively unknown in financial research. Compared with other research methods, netnography seems to have some advantages in the digital banking world, such as real-time customer feedback. Moreover, virtual observations can be used not only by researchers but also by bank representatives to, for example, find out how bank customers can contribute to value co-creation.

scholarly journals Is Voter Fraud Like Littering?: Empirical and Methodological Considerations

2012 ◽  
Vol 33 ◽  
pp. 233-243
Author(s):  
David Schultz
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Reliable Data ◽  
Methodological Issues ◽  
Voter Identification ◽  
Methodological Considerations ◽  
Voter Fraud ◽  
Social Science Evidence ◽  
Science Evidence

The dispute over the extent of voter fraud and voter identification is certain to affect to the 2012 elections. But this debate is muddled in a methodological and evidentiary mess, conducted with little or no reliable data. This article examines the methodological issues in studying voter fraud. The basic argument is that arguments about fraud are often made without reference to a methodology dictated by good social science research. In effect, assertions of voter fraud often invoke untestable claims. Second, inference that the few reported instances of fraud are proof of more extensive occurrences is baseless to the extent that parallels are drawn to speeding or littering. The latter do not pro- vide an analogy to voter fraud. Thus, assertions about voter fraud have generally failed to provide serious social science evidence or testable propositions to test claims.

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