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      Open science, communal culture, and women’s participation in the movement to improve science

      research-article
      a , 2 , b , c , d , e , f , g , h , i , j , k , l , m , n , o , p , g , h , q , r , s , t , u , j , v , w , x , y , z , aa , bb , cc , dd , a , a , ee
      Proceedings of the National Academy of Sciences of the United States of America
      National Academy of Sciences
      open science, reproducibility, replicability, women, culture

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Significance

          Science is rapidly changing with the current movement to improve science focused largely on reproducibility/replicability and open science practices. Through network modeling and semantic analysis, this article provides an initial exploration of the structure, cultural frames of collaboration and prosociality, and representation of women in the open science and reproducibility literatures. Network analyses reveal that the open science and reproducibility literatures are emerging relatively independently with few common papers or authors. Open science has a more collaborative structure and includes more explicit language reflecting communality and prosociality than does reproducibility. Finally, women publish more frequently in high-status author positions within open science compared with reproducibility. Implications for cultivating a diverse, collaborative culture of science are discussed.

          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 literatures ( n = 2,926 articles and conference proceedings). Network analyses suggest that the open science and reproducibility literatures are emerging relatively independently of each other, sharing few common papers or authors. We next examine whether the literatures differentially incorporate collaborative, prosocial ideals that are known to engage members of underrepresented groups more than independent, winner-takes-all approaches. We find that open science has a more connected, collaborative structure than does reproducibility. Semantic analyses of paper abstracts reveal that these literatures have adopted different cultural frames: open science includes more explicitly communal and prosocial language than does reproducibility. Finally, consistent with literature suggesting the diversity benefits of communal and prosocial purposes, we find that women publish more frequently in high-status author positions (first or last) within open science (vs. reproducibility). Furthermore, this finding is further patterned by team size and time. Women are more represented in larger teams within reproducibility, and women’s participation is increasing in open science over time and decreasing in reproducibility. We conclude with actionable suggestions for cultivating a more prosocial and diverse culture of science.

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          Most cited references91

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          Networks

          The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in recent years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyse network data on an unprecendented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social science. This book brings together the most important breakthroughts in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analysing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms, including spectral algorithms and community detection; mathematical models of networks such as random graph models and generative models; and models of processes taking place on networks.
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            Work group diversity and group performance: an integrative model and research agenda.

            Research on the relationship between work group diversity and performance has yielded inconsistent results. To address this problem, the authors propose the categorization-elaboration model (CEM), which reconceptualizes and integrates information/decision making and social categorization perspectives on work-group diversity and performance. The CEM incorporates mediator and moderator variables that typically have been ignored in diversity research and incorporates the view that information/decision making and social categorization processes interact such that intergroup biases flowing from social categorization disrupt the elaboration (in-depth processing) of task-relevant information and perspectives. In addition, the authors propose that attempts to link the positive and negative effects of diversity to specific types of diversity should be abandoned in favor of the assumption that all dimensions of diversity may have positive as well as negative effects. The ways in which these propositions may set the agenda for future research in diversity are discussed. 2004 APA, all rights reserved
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              Smoothing Parameter and Model Selection for General Smooth Models

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                29 September 2020
                14 September 2020
                14 September 2020
                : 117
                : 39
                : 24154-24164
                Affiliations
                [1] aDepartment of Psychological and Brain Sciences, Indiana University Bloomington , Bloomington, IN 47405;
                [30] bDepartment of Statistics, Indiana University Bloomington , Bloomington, IN 47408;
                [31] cKelley School of Business, Indiana University Bloomington , Bloomington, IN 47405;
                [32] dNetwork Science Institute, Indiana University Bloomington , Bloomington, IN 47408;
                [2] eDepartment of Psychology, University of Washington , Seattle, WA 98195;
                [3] fDepartment of Psychological and Brain Sciences, University of Massachusetts Amherst , Amherst, MA 01003;
                [4] gDepartment of Psychology, Northwestern University , Evanston, IL 60208;
                [33] hInstitute for Policy Research, Northwestern University , Evanston, IL 60208;
                [34] iSchool of Education & Social Policy, Northwestern University , Evanston, IL 60208;
                [5] jDepartment of Psychology, University of Michigan–Ann Arbor , Ann Arbor, MI 48109;
                [6] kDepartment of Psychology and Child Development, California Polytechnic State University , San Luis Obispo, CA 93407;
                [7] lDepartment of Psychology, William Paterson University , Wayne, NJ 07470;
                [8] mDepartment of Psychology, University of Wisconsin–Madison , Madison, WI 53706;
                [9] nDepartment of Psychology, University of California, Davis , CA 95616;
                [10] oDepartment of Psychology, Skidmore College , Saratoga Springs, NY 12866;
                [11] pDepartment of Psychology, University at Buffalo, The State University of New York , Buffalo, NY 14260;
                [35] qDepartment of Medical Social Sciences, Northeastern University , Evanston, IL 60208;
                [12] rDepartment of Psychology, University of Florida , Gainesville, FL 32611;
                [13] sOrganisational Behaviour, London Business School , London NW1 4SA, United Kingdom;
                [14] tDepartment of Psychology, Rutgers, The State University of New Jersey , Piscataway, NJ 08854;
                [15] uLeadership, Management & Organisation, Nanyang Technological University , Singapore 639798;
                [16] vOffice of Research, University of Colorado Colorado Springs , Colorado Springs, CO 80918;
                [36] wDepartment of Psychology, University of Colorado Colorado Springs , Colorado Springs, CO 80918;
                [17] xDepartment of Psychology, Lehigh University , Bethlehem, PA 18015;
                [37] yAfricana Studies, Lehigh University , Bethlehem, PA 18015;
                [18] zDepartment of Psychology, San Diego State University , San Diego, CA 92182;
                [19] aaDepartment of Psychology, John Jay College of Criminal Justice, City University of New York , New York, NY 10019;
                [20] bbResearch Division, HealthPartners Institute , Bloomington, MN 55425;
                [38] ccDepartment of Molecular and Cellular Biochemistry, Indiana University Bloomington , Bloomington, IN 47405;
                [39] ddDepartment of Neuroscience, The University of Texas at Austin , Austin, TX 78712;
                [40] eeDepartment of Psychology, The University of Texas at Austin , Austin, TX 78712
                Author notes
                2To whom correspondence may be addressed. Email: mcmpsych@ 123456indiana.edu .

                Edited by Susan T. Fiske, Princeton University, Princeton, NJ, and approved July 27, 2020 (received for review December 7, 2019)

                Author contributions: M.C.M., A.F.M., J.M., X.Y., P.L.M., S.R., A.B.D., and F.P. designed research; M.C.M., A.F.M., J.M., X.Y., P.L.M., S.R., A.B.D., and F.P. performed research; A.F.M., J.M., and X.Y. analyzed data; M.C.M., A.F.M., J.M., X.Y., S.C., N.D., M.D., S.A.F., J.A.G., E.L.H., J.M.H., A.L., C.A.M.-R., L.E.P., S.P.P., K.A.R., A.R., D.T.S., K.S., D.S., J.L.S., V.J.T., D.B.T., D.A.W., P.L.M., S.R., A.B.D., and F.P. wrote the paper.

                1M.C.M., A.F.M., J.M., and X.Y. contributed equally to this work.

                3P.L.M., S.R., A.B.D., and F.P. contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-6511-498X
                https://orcid.org/0000-0002-4312-8974
                https://orcid.org/0000-0002-4479-1209
                https://orcid.org/0000-0003-3481-1832
                https://orcid.org/0000-0002-0576-9199
                https://orcid.org/0000-0003-1438-6066
                https://orcid.org/0000-0001-5091-6306
                https://orcid.org/0000-0003-3627-3687
                https://orcid.org/0000-0002-6179-9229
                https://orcid.org/0000-0003-4748-1174
                https://orcid.org/0000-0002-4535-6276
                https://orcid.org/0000-0002-9824-7524
                https://orcid.org/0000-0002-2779-3034
                https://orcid.org/0000-0002-3435-3125
                https://orcid.org/0000-0003-0424-4179
                https://orcid.org/0000-0001-9007-5599
                https://orcid.org/0000-0002-8684-6183
                https://orcid.org/0000-0002-6934-1917
                https://orcid.org/0000-0003-4354-8861
                https://orcid.org/0000-0001-6439-1336
                https://orcid.org/0000-0002-6930-4155
                https://orcid.org/0000-0002-7763-762X
                https://orcid.org/0000-0002-6374-8679
                https://orcid.org/0000-0002-6442-4780
                https://orcid.org/0000-0002-6286-3974
                https://orcid.org/0000-0002-2469-0494
                Article
                201921320
                10.1073/pnas.1921320117
                7533847
                32929006
                e4a19244-883f-4f01-a45c-14db38a6dfc0
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 11
                Funding
                Funded by: NSF | EHR | Division of Research on Learning in Formal and Informal Settings (DRL) 100000173
                Award ID: 1450755
                Award Recipient : Mary C. Murphy
                Funded by: NSF | EHR | Division of Human Resource Development (HRD) 100000171
                Award ID: 1661004
                Award Recipient : Mary C. Murphy
                Funded by: NSF | Directorate for Education and Human Resources (EHR) 100000081
                Award ID: 1232364
                Award Recipient : Amanda Diekman
                Funded by: NSF | CISE | Division of Information and Intelligent Systems (IIS) 100000145
                Award ID: 1636893
                Award Recipient : Franco Pestilli
                Funded by: NSF | SBE | Division of Behavioral and Cognitive Sciences (BCS) 100000169
                Award ID: 1734853
                Award Recipient : Franco Pestilli
                Funded by: NSF | SBE | Division of Behavioral and Cognitive Sciences (BCS) 100000169
                Award ID: 1916518
                Award Recipient : Franco Pestilli
                Funded by: HHS | NIH | National Center for Advancing Translational Sciences (NCATS) 100006108
                Award ID: UL1TR002529
                Award Recipient : Franco Pestilli
                Funded by: HHS | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) 100000070
                Award ID: 1R01EB029272-01
                Award Recipient : Franco Pestilli
                Funded by: Russell Sage Foundation (RSF) 100000935
                Award ID: 87-15-02
                Award Recipient : Mary C. Murphy
                Categories
                Social Sciences
                Psychological and Cognitive Sciences

                open science,reproducibility,replicability,women,culture
                open science, reproducibility, replicability, women, culture

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