2020
DOI: 10.1073/pnas.1921320117
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Open science, communal culture, and women’s participation in the movement to improve science

Abstract: Science is undergoing rapid change with the movement to improve science focused largely on reproducibility/replicability and open science practices. This moment of change—in which science turns inward to examine its methods and practices—provides an opportunity to address its historic lack of diversity and noninclusive culture. Through network modeling and semantic analysis, we provide an initial exploration of the structure, cultural frames, and women’s participation in the open science and reproducibility li… Show more

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Cited by 73 publications
(67 citation statements)
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“…This paper considers the central question: How do we reimagine our discipline as fundamentally open and inclusive? The term "open science" has been used over the past decade to characterize a reform movement comprising a number of different practices and policies, including sharing data, materials, and code, making scientific papers freely and publicly accessible, preregistering study designs and/or analysis plans, freely sharing teaching tools and educational resources, making the review process and other decision-making more transparent, and fostering post-publication peer review (e.g., McKiernan et al, 2016;Murphy et al, 2020;Tenney et al, 2020;Wolfram et al, 2020). But for the purposes of this paper, we wish to focus not on specific open science behaviors or initiatives, but rather on several of the essential goals that motivate many scientists (including many of us) to pursue these practices: Enabling anyone who would like to participate in science to do so, making scientific process and output transparent to all, and dismantling the hierarchy and entrenched power structures that privilege seniority and "insider status.…”
Section: The Pandemic As a Portal: Reimagining Psychological Science As Truly Open And Inclusivementioning
confidence: 99%
“…This paper considers the central question: How do we reimagine our discipline as fundamentally open and inclusive? The term "open science" has been used over the past decade to characterize a reform movement comprising a number of different practices and policies, including sharing data, materials, and code, making scientific papers freely and publicly accessible, preregistering study designs and/or analysis plans, freely sharing teaching tools and educational resources, making the review process and other decision-making more transparent, and fostering post-publication peer review (e.g., McKiernan et al, 2016;Murphy et al, 2020;Tenney et al, 2020;Wolfram et al, 2020). But for the purposes of this paper, we wish to focus not on specific open science behaviors or initiatives, but rather on several of the essential goals that motivate many scientists (including many of us) to pursue these practices: Enabling anyone who would like to participate in science to do so, making scientific process and output transparent to all, and dismantling the hierarchy and entrenched power structures that privilege seniority and "insider status.…”
Section: The Pandemic As a Portal: Reimagining Psychological Science As Truly Open And Inclusivementioning
confidence: 99%
“…Through transparency, "bugs in the bugs" would be more readily discovered and corrected. Furthermore, as recently argued (39), there are two growing trends in science. One seeks to make science more open and the other more reproducible, but the adherents of these two trends do not always works concurrently towards openness and reproducibility.…”
Section: Discussionmentioning
confidence: 94%
“…Second, like much of the literature on gender in science, the gender analysis by AlShebli et al engages in "Trans erasure" by failing to measure or thoughtfully acknowledge gender alternatives to cis men and cis women. These authors are not the first or only ones that fail to approach gender analyses in an inclusive way, which we and others have noted as a problem elsewhere 18,19 . We encourage scholars to both acknowledge the limitations of existing gender classification algorithms and strive to develop new measures, analyses, algorithms, and methods to include rather than erase trans and non-binary people.…”
Section: (4) Limitations Of Gender Classification Algorithmsmentioning
confidence: 84%