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 Population heterogeneity is ubiquitous in social science.

3 ervation, and 36% of intervention studies in social science.

4 gic interactions in evolutionary biology and social science.

5 evelopment of the new field of computational social science.

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

7 f the most reproduced findings in health and social science.

8 , computer science, information science, and social science.

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

10 s, political polarization, and computational social science.

11 coming the most prominent unifying theory of social science.

12 modeling is a revolutionary development for social science.

13 provides a causal test for a cornerstone of social science.

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

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

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

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

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

19 We also examined NIEHS programs that foster social science.

20 nonconformity of academics and the ethos of social science.

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

22 servatives are reluctant to enter the modern social sciences.

23 ll as to similar applications throughout the social sciences.

24 s interested in joining the evolutionary and social sciences.

25 cally addressed by the arts, humanities, and social sciences.

26 th broad implications for the biological and social sciences.

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

28 actional video-analysis developed within the social sciences.

29 is a fundamental question in biological and social sciences.

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

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

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

33 ngest standing debates in the biological and social sciences.

34 puzzle for both evolutionary biology and the social sciences.

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

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

37 rally accepted empirical regularities in the social sciences.

38 uld find applications across the natural and social sciences.

39 in network research across the physical and social sciences.

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

41 pervasive across the physical, natural, and social sciences.

42 undamental importance for the biological and social sciences.

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

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

45 square tests and the Statistical Package for Social Sciences.

46 d on key human-environment theories from the social sciences.

47 vance causal knowledge more generally in the social sciences.

48 er Science, Social Physics and Computational Social Sciences.

49 red that integrates ecological, economic and social sciences.

50 ad importance across the physical, life, and social sciences.

51 ionary biology to other fields including the social sciences.

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

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

54 psychology is a foundational question of the social sciences.

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

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

57 covariates using Statistical Package for the Social Sciences.

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

59 o build bridges between neuroscience and the social sciences.

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

61 3 and analysed with Statistical Package for Social Science 20.

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

63 In social science and epidemiological research, individual

64 nging from molecular biology and medicine to social science and finance.

65 nce Proceedings Citation Index - Science and Social Science and Humanities was conducted.

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

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

68 ck faculty across eight disciplines in STEM, social science and the humanities, we show that faculty

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

70 ge arguments about the value of genetics for social science and with it the claimed necessity of inco

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

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

73 ence; physical sciences and engineering; and social sciences and humanities) and 817 meso-level field

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

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

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

77 ost Hoc Test through Statistical Package for Social Sciences and it is observed that CuO doped Graphe

78 etworks in a wide range of fields, including social sciences and other complex systems.

79 aborations between genetics, psychiatry, the social sciences and other fields of research.

80 e predominantly developed in the humanities, social sciences and public health to the fields of natur

81 career progression at the 15 highest ranked social sciences and public health universities in the wo

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

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

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

85 ming test-takers, and in the fields of math, social science, and chemistry.

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

87 stions for biological, behavioral, clinical, social science, and policy research.

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

89 implications in other areas, like economics, social sciences, and biology, where node attributes can

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

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

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

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

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

95 Neuroscience, social sciences, and the humanities can benefit mutually

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

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

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

99 The social sciences are going through what has been describe

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

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

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

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

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

105 Despite decades of social science arguing that joblessness among disadvanta

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

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

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

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

110 ment in modern science, and has enriched the social sciences, biology, physics, and computer science.

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

112 as been lagging behind the psychological and social sciences but has seen a massive surge in recent y

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

114 a, along with current recommendations in the social sciences, can be leveraged to promote more accura

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

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

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

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

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

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

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

122 April 2019: PsychInfo, Embase, Medline, and Social Sciences Citation Index.

123 Social science collaboration with environmental health.

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

125 A foundational question in the social sciences concerns the interplay of underlying cau

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

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

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

129 Social Science Data Services approval was obtained; the

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

131 d statistical approach integrate natural and social sciences data.

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

133 0 datasets curated within one of the largest social science databases, Interuniversity Consortium for

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

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

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

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

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

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

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

141 Social science-environmental health team science has alt

142 In computational social science, epidemic-inspired spread models have bee

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

144 Growing bodies of social science evidence make increasingly clear how iden

145 Ethics in social science experimentation and data collection are o

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

147 A large number of social science field experiments do not reflect complian

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

149 ial ecology and a variety of engineering and social science fields.

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

151 undation of China, UN Population Fund, China Social Sciences Foundation, and Hong Kong Research Grant

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

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

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

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

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

157 Social science genetics is concerned with understanding

158 Social science has distinct advantages and challenges wh

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

160 Social science has informed environmental health science

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

162 Conjecture about the weak replicability in social sciences has made scholars eager to quantify the

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

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

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

166 Both biological and social sciences have identified contributing factors to

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

168 n decision making in economics, medicine and social science, have the potential to transform the scop

169 Humanities and social sciences help advance "cultures of care" around l

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

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

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

173 s, and the International Bibliography of the Social Sciences (IBBS) computerized databases.

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

175 rrelates of human and AI presence can inform social science in the wild.

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

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

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

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

180 -2017), PsycINFO (2012-2017) and the Applied Social Sciences Index (2012-2017), CNKI (2012-2017), Wan

181 searched MEDLINE, CINAHL, PsycINFO, Applied Social Sciences Index and Abstracts, Criminal Justice Da

182 atabases (MEDLINE, CINAHL, PsycINFO, Applied Social Sciences Index and Abstracts, Criminal Justice Da

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

184 rther integrate and translate behavioral and social sciences into oral health research, oral health p

185 s Perspective, we propose the integration of social sciences into the three pillars of academic medic

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

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

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

189 Computational social science is more than just large repositories of d

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

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

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

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

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

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

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

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

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

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

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

201 f conflict and displacement-we highlight how social science methods can uncover the lived experiences

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

203 claimed necessity of incorporating PGSs into social science models as measures of genetic influences.

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

205 Program of China, Project of Humanities and Social Sciences of the Ministry of Education in China.

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

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

208 based on evidence-based publications in the social sciences or education research literature, the or

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

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

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

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

213 Real-world systems in epidemiology, social sciences, power transportation, economics and eng

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

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

216 In epidemiology and the social sciences, propensity score methods are popular fo

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

218 published in journals focusing on education, social science, psychology, or psychiatry.

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

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

221 ng Medline, Embase, PsycINFO, CINAHL, ASSIA, Social Sciences, RCN and Cochrane Libraries.

222 For social sciences, recent advancements in Large Language M

223 cioeconomic conditions on population health, social sciences remain marginal to academic medicine.

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

225 and opportunities for integrating them with social science research and RCCE practice.

226 ical Research Council (MRC) and Economic and Social Science Research Council (ESRC) (MR/N024397/1).

227 Social science research demonstrates that the network pa

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

229 Social science research has been central in documenting

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

231 Social science research may identify ways to counteract

232 in which I advocate flipping the traditional social science research model to an approach that, from

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

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

235 re among the most frequently used sources in social science research, and they are an essential tool

236 d to train these tools can negatively impact social science research-as well as a range of other chal

237 ay a key role in public policy decisions and social science research.

238 ed, including not only epidemiology but also social sciences, research and development, diplomacy, lo

239 Across the social sciences, research suggests that 'resources for p

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

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

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

243 And finally, humanities and social sciences scholars can play a major role in ensuri

244 s in which PSID's history reflects shifts in social science scholarship and funding priorities over h

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

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

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

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

249 , and analyzed using Statistical Package for Social Science software version 26.

250 lysis was done using Statistical Package for Social Sciences software version 20.

251 performed using the Statistical Package for Social Sciences software version 26.

252 d analysed using the Statistical Package for Social Sciences software, with statistical significance

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

254 as performed via the statistical package for social sciences (SPSS) version 26.

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

256 were analyzed in IBM-Statistical Package for Social Sciences (SPSS), with p<0.05 considered significa

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

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

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

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

261 many areas of the cognitive, behavioral, and social sciences supports this basic model, including lab

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

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

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

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

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

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

268 distant past are fertile ground for testing social science theories of education and social mobility

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

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

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

272 rgue that, through the lens of computational social science, this ability can be used to advance rese

273 For the social sciences, this question is venerable.

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

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

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

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

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

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

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

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

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

283 llection of articles draws on biological and social sciences to suggest changes in how ocean science

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

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

286 wever, while many estimation problems in the social sciences use prediction as an intermediate step,

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

288 3.1 and analyzed by Statistical Package for Social Sciences version 20.

289 the help of the Statistical Package for the Social Sciences version 20.0 software program (IBM Corp.

290 and was analysed by Statistical Package for Social Sciences version 23.

291 conducted using IBM Statistical Package for Social Sciences version 26.

292 alysed using the Statistical Package for the Social Sciences version 26.0 for data analysis.

293 Leveraging advances in computational social science, we identify tweeters' political ideology

294 Focusing on social science, we investigate the scientific outcomes o

295 s working at the interface of biological and social science, we offer a candid discussion of the less

296 4 papers spanning five decades from both the social sciences (Web of Science) and the physical scienc

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

298 the exclusive province of the humanities and social sciences, where anthropologists, historians, ling

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

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