ライフサイエンスコーパス: social science

1 mong the applicants (i.e., life sciences and social sciences).

2 gic interactions in evolutionary biology and social science.

3 evelopment of the new field of computational social science.

4 e to, and potentially transform, research in social science.

5 , computer science, information science, and social science.

6 ta analysis including biology, medicine, and social science.

7 ally all fields of science, engineering, and social science.

8 coming the most prominent unifying theory of social science.

9 modeling is a revolutionary development for social science.

10 to better, more replicable, and more useful social science.

11 the behavior of their peers, are central to social science.

12 ics, biology, neuroscience, engineering, and social science.

13 We also examined NIEHS programs that foster social science.

14 nonconformity of academics and the ethos of social science.

15 model by selected examples from biology, and social science.

16 rs are used in many fields of biomedical and social science.

17 Population heterogeneity is ubiquitous in social science.

18 phy, as well as its lasting influence on the social sciences.

19 SWB) is a major topic of research across the social sciences.

20 sing from the integration of the natural and social sciences.

21 t power-law distributions in the natural and social sciences.

22 in intensity over time, particularly in the social sciences.

23 ngest standing debates in the biological and social sciences.

24 puzzle for both evolutionary biology and the social sciences.

25 psychology is a foundational question of the social sciences.

26 pen access to data from the earth, life, and social sciences.

27 nd for future research in the biomedical and social sciences.

28 is an enduring conundrum in biology and the social sciences.

29 rally accepted empirical regularities in the social sciences.

30 uld find applications across the natural and social sciences.

31 in network research across the physical and social sciences.

32 tion is a central problem in biology and the social sciences.

33 undamental importance for the biological and social sciences.

34 onomics, and the tools of the behavioral and social sciences.

35 of the most widely studied constructs in the social sciences.

36 ublic health, mental health, and medical and social sciences.

37 covariates using Statistical Package for the Social Sciences.

38 complex data, in the sciences as well as the social sciences.

39 o build bridges between neuroscience and the social sciences.

40 earch spanning the physical, biological, and social sciences.

41 ionary biology to other fields including the social sciences.

42 servatives are reluctant to enter the modern social sciences.

43 ll as to similar applications throughout the social sciences.

44 s interested in joining the evolutionary and social sciences.

45 th broad implications for the biological and social sciences.

46 is of major interest across the natural and social sciences.

47 actional video-analysis developed within the social sciences.

48 is a fundamental question in biological and social sciences.

49 t of institutional structures within states, social science analysis has focused on autochthonous fac

50 undertaken for 2 journals ('Midwifery' and 'Social Science and Medicine') covering a 3 year time per

51 in injury as well as in behavioral genetics, social science and neuroimaging techniques should contri

52 Healy et al. followed the best practices in social science and used a credible research design.

53 udy of mediation has a long tradition in the social sciences and a relatively more recent one in epid

54 ter University, Northern Arizona University, Social Sciences and Humanities Research Council of Canad

55 n, including its relation to the traditional social sciences and humanities.

56 scholarship in the physical, biological, and social sciences and humanities.

57 Time-sharing Experiments for the Social Sciences and Intramural Research Program of the N

58 pplications in data sciences, life sciences, social sciences and technology, and hence, motivates alt

59 o a wide array of new phenomena spanning the social sciences and the humanities.

60 increasingly important in the humanities and social sciences and there is a growing use of narrative

61 ication efforts that integrate epidemiology, social science, and economics as tools to target and mot

62 spiratory medicine, rehabilitation sciences, social sciences, and behavioral sciences.

63 practice, trials, statistics, epidemiology, social sciences, and biomedical editing.

64 into physical sciences, biological sciences, social sciences, and further subtopic classifications wi

65 million papers across the natural sciences, social sciences, and humanities reveals a number of unde

66 g 36 participating journals in the sciences, social sciences, and humanities, we report on the effect

67 ifferentiation is a fundamental topic of the social sciences, and its prehistoric origins in Europe a

68 these results for evolutionary biology, the social sciences, and the use of animal models in underst

69 egitimacy in scientific circles that current social science approaches lack.

70 f efficient decision making developed in the social sciences are beginning to be used to describe the

71 Researchers from many clinical and social sciences are interested in dietary choice but hav

72 nalyses integrating climate, biological, and social sciences are less common.

73 to growth and consequences of ignoring them, social sciences are necessary to diagnose societal mecha

74 iation analysis used in epidemiology and the social sciences are valid, and they provide alternative

75 ance and ability is a central concern in the social sciences: Are the most successful much more able

76 Despite decades of social science arguing that joblessness among disadvanta

77 s are detailed for sciences and engineering, social sciences, arts and humanities, and patents, sugge

78 widely used in the biological, physical, and social sciences as a concise mathematical representation

79 disciplines in the physical, biological and social sciences as well as engineering.

80 planet will need to integrate ecological and social sciences better.

81 sm has a vast range of applications from the social sciences, biology, to economics.

82 We studied publication bias in the social sciences by analyzing a known population of condu

83 s combine to provide foundations for a "new" social science centered on formal modeling not requiring

84 databases and the Science Citation Index and Social Science Citation Index were searched combining te

85 Information Center, Science Citation Index, Social Science Citation Index, Cumulative Index to Nursi

86 tium; CINAHL; ASSIA; Science Citation Index; Social Science Citation Index; Cochrane Database of Syst

87 INFO, EMBASE, POPLINE, PubMed, ERIC, and the Social Sciences Citation Index were conducted from Janua

88 led Trials, Science Citation Index Expanded, Social Sciences Citation Index, African Index Medicus, a

89 Med, EMBASE, the Science Citation Index, the Social Sciences Citation Index, Conference Proceedings C

90 Social science collaboration with environmental health.

91 A fundamental debate in social sciences concerns how individual judgments and ch

92 f social science research to investigate how social science contributes to environmental health.

93 rrent antisocial behavior is integral to the social sciences, criminal justice procedures, and the ef

94 increases in the availability of informative social science data are making dramatic progress possibl

95 Social Science Data Services approval was obtained; the

96 synthesis and analysis of both physical and social science data.

97 d statistical approach integrate natural and social sciences data.

98 s were identified via electronic medical and social science databases from inception to April 2006 (P

99 hat an understanding of psychology and other social science disciplines can inform the effectiveness

100 ough political science and other neighboring social science disciplines offer insights into these pec

101 erature in political science and neighboring social science disciplines shows that prevailing assumpt

102 y are pitted against the insights from other social science disciplines, and (b) are less pressing th

103 By contrast, nearly all social science disciplines, including social demography,

104 , with applications in diverse areas such as social science, engineering, biology and medicine.

105 Duarte et al. are correct that the social science enterprise would improve on several front

106 Social science-environmental health team science has alt

107 ides a foundation for merging ecological and social science epistemologies to define and integrate cu

108 ial disclosures from all clinical, basic, or social science faculty who were principal investigators)

109 ve seen no evidence to support the idea that social science fields with more politically diverse work

110 ressful, has been a focus of research in the social sciences for more than three decades.

111 lation models have a promising future in the social sciences, from political science to anthropology,

112 rsities (2011jdhz62), the Shaanxi Provincial Social Science Fund (10E066), and the Harvard Medical Sc

113 bacco and Genetics (TAG) Consortium, and the Social Science Genetic Association Consortium (SSGAC), a

114 birth weight combined with results from the Social Science Genetic Association Consortium study of 1

115 unds, including various medical specialties, social science, genetic counseling, and consumer advocac

116 ect in Akwesasne in order to demonstrate how social science has enhanced environmental health science

117 Social science has informed environmental health science

118 Research in social science has provided a formal basis for the segre

119 his phenomenon-which is termed 'overflow' in social science-has important implications for the integr

120 ories of epidemiology, health behaviour, and social science have changed the understanding of HIV pre

121 dynamics of animal societies, researchers in social sciences have been challenged by the complexity a

122 Both biological and social sciences have identified contributing factors to

123 imply that various leading approaches in the social sciences have not adequately conceptualized how e

124 iew, I discuss four areas in which empirical social science helps clarify intuitive but sometimes fau

125 A central tenet of evolutionary social science holds that behaviors, such as those assoc

126 interactions are modeled in game theory and social science; however, inferring automatic imitation r

127 ealthline, International Bibliography of the Social Sciences (IBSS), Eldis, British Library for Devel

128 w addresses issues central to debates in the social sciences in a far more sophisticated manner than

129 dly expanded to include a broad range of the social sciences in addition to basic scientists interest

130 ling and rightfully gaining influence in the social sciences in general.

131 second annual meeting of the Partnership for Social Sciences in Malaria Control was held at the Londo

132 shing human ultrasociality as a new field of social science inquiry.

133 hat the increasingly computational nature of social science is beginning to reverse this traditional

134 roader research in neuroscience, health, and social science is discussed.

135 causal inference with observational data in social science is impossible without strong assumptions.

136 The fundamental challenge in the social sciences is moving from complicated correlations

137 A popular hypothesis in the social sciences is that humans have social preferences t

138 A common finding in social sciences is that member change hinders group func

139 nt problem within both epidemiology and many social sciences is to break down the effect of a given t

140 A long-standing problem in biological and social sciences is to understand the conditions required

141 type of solution, recently recognized in the social sciences, is evolutionarily stable and evolves in

142 io)statistics journals, and just 0.2% are to social science journals.

143 They give this "new" social science legitimacy in scientific circles that cur

144 Review of the medical, public health, and social science literature.

145 sis techniques used in the epidemiologic and social science literatures to be valid, an assumption of

146 eory has become important in the humanities, social sciences, medicine, and psychotherapy for underst

147 olutionary psychology (EP) with the standard social science model; however, since its inception, trad

148 of marketing, research in the psychology and social science of gift receipt and giving indicates that

149 scusses the problem, especially acute in the social sciences, of "operationalizing" intuitive concept

150 n of intersection between psychology and the social sciences, on the one hand, and computer science a

151 published in all disciplines of natural and social sciences over a time span longer than a century.

152 e agriculture are associated with particular social science paradigms: biotechnology has its foundati

153 ably one of the most important themes in the social sciences, permeating all aspects of human social

154 rning in diverse fields, including business, social science, physical sciences, and biology.

155 systems in chemistry, biology, finance, and social sciences present emerging features that are not e

156 option of agent-based modeling approaches to social science problems.

157 iginally developed for website analytics and social sciences, provides an appealing solution.

158 rch spectrum from biomedical sciences to the social sciences, public health, epidemiology, cost-effec

159 sciences, engineering, environmental health, social sciences, public policy, and business.

160 Annals of the New York Academy of Sciences, Social Science Quarterly, and on the website http://exch

161 elected officials alike, research across the social sciences repeatedly concludes that Americans are

162 Social science research demonstrates that the network pa

163 Decades of social science research exist to help us answer this que

164 Social science research has been central in documenting

165 The very objective of social science research is not to discover abstract and

166 Social science research may identify ways to counteract

167 behaviors may reveal the greatest payoff to social science research of all agent-based modeling effo

168 We analyzed various types of social science research to investigate how social scienc

169 of epidemiology, interventions research and social sciences researchers are often faced with the cha

170 n network analysis of "big data" sets in the social sciences, revealing non-obvious patterns of organ

171 effects of selection and influence is one of social science's greatest unsolved puzzles: Do people be

172 c analysis of the collected data, drawing on social science scholarship on collective action and a po

173 say reviews and evaluates recent comparative social science scholarship on healthcare systems.

174 eption and Social Reality, I argued that the social science scholarship on social perception and inte

175 ibutes to our understanding in computational social science, social media analytics, and marketing ap

176 were analyzed using Statistical Package for Social Sciences (SPSS) 20 version computer software.

177 rformed with the Statistical Package for the Social Sciences (SPSS), version 20.

178 sion analysis, using Statistical Package for Social Sciences (SPSS).

179 tory practice but also in the behavioral and social sciences, statistics, and economics.

180 nd analyses of these objects coming from the social sciences, statistics, probability and physics com

181 eas and developments in both the natural and social sciences suggest that leadership and followership

182 We leveraged Time-sharing Experiments in the Social Sciences (TESS), a National Science Foundation-sp

183 o define, operationalize, and measure in the social sciences than in the laboratory sciences.

184 ber of statistical analyses developed in the social sciences that are increasingly being applied to a

185 re we extend new techniques from physics and social sciences that estimate modularity on networks to

186 a distinct empirical methodology within the social sciences that has the potential to deepen our und

187 nections between philosophy, psychology, the social sciences, the humanities, and studies of disorder

188 's significance for psychological processes: social science theories that link the individual and soc

189 uman behavior provides a novel vision of how social science theory can inform large data set analysis

190 Where classical social science theory saw the enforcement of moral bound

191 mics uses evidence from psychology and other social sciences to create a precise and fruitful alterna

192 approach brings together the biological and social sciences to develop an integrative, collaborative

193 nd conjoint analyses, are widely used in the social sciences to elicit stated preferences and study h

194 atest statistical tools from ecology and the social sciences to evaluate the potential effects of env

195 Assortativity is a network property used in social sciences to identify factors affecting how people

196 ) has been widely used in the biological and social sciences to model dyadic cooperation.

197 health practice has emerged that engages the social sciences to paint a full picture of the consequen

198 paper draws on theoretical insights from the social sciences to show how incorporating knowledge brok

199 Urban ecology integrates natural and social sciences to study these radically altered local e

200 Nevertheless, an imperative to unite all social science under an evolutionary framework risks tur

201 iplinary field in which psychology and other social sciences unite with computer science and related

202 search literature, across the behavioral and social sciences, uses information on individuals' subjec

203 3.1 and analyzed by Statistical Package for Social Sciences version 20.

204 ethics, law, obstetrics, pediatrics, and the social sciences were invited to join the Working Group o

205 ong researchers from across the physical and social sciences who share a common interest in understan

206 r in disciplines ranging from biology to the social sciences, yet they are notoriously difficult to s