The Golden Age of Social Science

Buyalskaya, Anastasia; Gallo, Marcos; Camerer, Colin

doi:10.2139/ssrn.3486314

Cited by 43 publications

(28 citation statements)

References 66 publications

(74 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The Journal of Dairy Science (JDS) was used to descriptively compare the TDM results from open-access vs. non-open/restricted access articles within the animal domain using the same search queries as the ContentMine data mining process presented above ( Table 1 ). As stated in Buyalskaya et al [ 52 ], the silos that exist within journals that cater to the readership of a specific discipline may limit access to information for interdisciplinary researchers within the One Health context. JDS was chosen as an example discipline-specific journal, because the manual review of an initial search revealed that the animal domain more frequently had relevant AMR articles in non-open/restricted access journals compared to the other domains surveyed.…”

Section: Methodsmentioning

confidence: 99%

Finding What Is Inaccessible: Antimicrobial Resistance Language Use among the One Health Domains

et al. 2021

View full text Add to dashboard Cite

The success of a One Health approach to combating antimicrobial resistance (AMR) requires effective data sharing across the three One Health domains (human, animal, and environment). To investigate if there are differences in language use across the One Health domains, we examined the peer-reviewed literature using a combination of text data mining and natural language processing techniques on 20,000 open-access articles related to AMR and One Health. Evaluating AMR key term frequency from the European PubMed Collection published between 1990 and 2019 showed distinct AMR language usage within each domain and incongruent language usage across domains, with significant differences in key term usage frequencies when articles were grouped by the One Health sub-specialties (2-way ANOVA; p < 0.001). Over the 29-year period, “antibiotic resistance” and “AR” were used 18 times more than “antimicrobial resistance” and “AMR”. The discord of language use across One Health potentially weakens the effectiveness of interdisciplinary research by creating accessibility issues for researchers using search engines. This research was the first to quantify this disparate language use within One Health, which inhibits collaboration and crosstalk between domains. We suggest the following for authors publishing AMR-related research within the One Health context: (1) increase title/abstract searchability by including both antimicrobial and antibiotic resistance related search terms; (2) include “One Health” in the title/abstract; and (3) prioritize open-access publication.

show abstract

Section: Methodsmentioning

confidence: 99%

Finding What Is Inaccessible: Antimicrobial Resistance Language Use among the One Health Domains

et al. 2021

View full text Add to dashboard Cite

show abstract

“…, 2021 ) and in terms of integrating computational approaches that capture the information contained in multivariate neural data, in modeled approximations of social thought and behavior, and in our complex social surroundings. Such interdisciplinary endeavors are increasingly recognized as necessary for addressing fundamental questions about human behavior (for a thoughtful recent discussion of the challenges associated with the increasingly interdisciplinary nature of social science and potential solutions to such challenges, see Buyalskaya et al. , 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Computational methods in social neuroscience: recent advances, new tools and future directions

Parkinson

2021

Social Cognitive and Affective Neuroscience

View full text Add to dashboard Cite

Recent years have seen a surge of exciting developments in the computational tools available to social neuroscientists. This paper highlights and synthesizes recent advances that have been enabled by the application of such tools, as well as methodological innovations likely to be of interest and utility to social neuroscientists, but that have been concentrated in other sub-fields. Papers in this special issue are emphasized, many of which contain instructive materials (e.g., tutorials, code) for researchers new to the highlighted methods. These include approaches for modeling social decisions, characterizing multivariate neural response patterns at varying spatial scales, using decoded neurofeedback to draw causal links between specific neural response patterns and psychological and behavioral phenomena, examining time-varying patterns of connectivity between brain regions, and characterizing the social networks in which social thought and behavior unfold in everyday life. By combining computational methods for characterizing participants’ rich social environments – at the levels of stimuli, paradigms, and the webs of social relationships that surround people – with those for capturing the psychological processes that undergird social behavior and the wealth of information contained in neuroimaging datasets, social neuroscientists can gain new insights into how people create, understand, and navigate their complex social worlds.

show abstract

“…Taken together, I concur that Social Sciences – and among them Human Geography – enter a golden age (Buyalskaya et al . 2021), because of the many new opportunities to collect and analyse data as well as by the possibilities of working together across disciplines. Building and strengthening theoretical arguments and methods of network analysis can help to get closer to this fortunate future.…”

Section: Towards a Golden Age For Human Geographymentioning

confidence: 99%

Network Thinking in Human Geography: Musings of a Newbie

Völker

2021

Tijd voor Econ & Soc Geog

View full text Add to dashboard Cite

This paper on the application of network theory and analysis in Human Geography argues that networks should get a much more prominent role than they currently have and that they have matured to a lingua franca in (social) science. While reflecting upon explanations for the scarce use of network knowledge, I describe three surprising observations that I have made since I have been working in the discipline. The musings close with arguments in favour of embracing ongoing developments of data science and computational science and the proposition that Human Geography can make unique contributions to this development.

show abstract

The Golden Age of Social Science

Cited by 43 publications

References 66 publications

Finding What Is Inaccessible: Antimicrobial Resistance Language Use among the One Health Domains

Finding What Is Inaccessible: Antimicrobial Resistance Language Use among the One Health Domains

Computational methods in social neuroscience: recent advances, new tools and future directions

Network Thinking in Human Geography: Musings of a Newbie

Contact Info

Product

Resources

About