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Le Lagadec D, Jackson D, West S, Cleary M. Onwards and Upwards: Tricks and Tips for the New Psychiatric-Mental Health Nursing PhD Graduate. Issues Ment Health Nurs 2024; 45:444-448. [PMID: 37699116 DOI: 10.1080/01612840.2023.2250854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Affiliation(s)
- Danielle Le Lagadec
- School of Nursing, Midwifery, and Social Sciences, CQUniversity, Queensland, Australia
| | - Debra Jackson
- Susan Wakil School of Nursing, University of Sydney, NSW, Australia
| | - Sancia West
- School of Nursing, Midwifery, and Social Sciences, CQUniversity, Queensland, Australia
| | - Michelle Cleary
- School of Nursing, Midwifery, and Social Sciences, CQUniversity, Queensland, Australia
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2
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Kim N, Skurka C, Madden S. The effects of self-disclosure and gender on a climate scientist's credibility and likability on social media. PUBLIC UNDERSTANDING OF SCIENCE (BRISTOL, ENGLAND) 2024:9636625231225073. [PMID: 38326976 DOI: 10.1177/09636625231225073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
To examine whether different types of disclosure made by climate scientists on social media influence perceived source credibility (i.e. competence, integrity, benevolence) and likability, we conducted a 2 (self-disclosure type: personal vs political) × 3 (proportion of posts including a self-disclosure: 20% vs 50% vs 80%) × 2 (gender identity of scientist: male vs female) between-subjects experiment (N = 734). We found that people liked the scientist more for a personal than political disclosure, rated them as being more competent for a political disclosure, and liked a female scientist more than a male scientist. However, scientist's gender did not moderate the effect of disclosure type or the effect of participants' gender. Our results suggest distinct benefits when scientists deliver different types of messages on social media, although disclosure is unlikely to have substantial effects on lay judgments of scientists' credibility.
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Kępińska AP, Johnson JS, Huckins LM. Open Science Practices in Psychiatric Genetics: A Primer. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:110-119. [PMID: 38298792 PMCID: PMC10829621 DOI: 10.1016/j.bpsgos.2023.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/04/2023] [Accepted: 08/11/2023] [Indexed: 02/02/2024] Open
Abstract
Open science ensures that research is transparently reported and freely accessible for all to assess and collaboratively build on. Psychiatric genetics has led among the health sciences in implementing some open science practices in common study designs, such as replication as part of genome-wide association studies. However, thorough open science implementation guidelines are limited and largely not specific to data, privacy, and research conduct challenges in psychiatric genetics. Here, we present a primer of open science practices, including selection of a research topic with patients/nonacademic collaborators, equitable authorship and citation practices, design of replicable, reproducible studies, preregistrations, open data, and privacy issues. We provide tips for informative figures and inclusive, precise reporting. We discuss considerations in working with nonacademic collaborators and distributing research through preprints, blogs, social media, and accessible lecture materials. Finally, we provide extra resources to support every step of the research process.
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Affiliation(s)
- Adrianna P. Kępińska
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Jessica S. Johnson
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York
- Psychiatry Department, The University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - Laura M. Huckins
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Psychiatry, Yale University, New Haven, Connecticut
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4
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Macias Gonzalez ADY, McCallum S, De Lora JA. Implementing standardized diversity, equity, and inclusion approaches within scientific communities. Trends Cell Biol 2023; 33:899-902. [PMID: 37730511 DOI: 10.1016/j.tcb.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/25/2023] [Accepted: 08/25/2023] [Indexed: 09/22/2023]
Abstract
Within the global scientific community, there are disparate approaches to diversity, equity, and inclusion (DEI) practices, leading to inequalities that hinder progress. Here, we frame this problem through historical perspectives in the global north and propose a DEI framework adaptable by institutions regardless of location, improving the academic environment for researchers globally.
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Affiliation(s)
| | - Sarah McCallum
- Biomedical Sciences, Department of Neural Sciences and Medicine, Cedars Sinai Medical Center, Los Angeles, CA, USA.
| | - Jacqueline A De Lora
- Cellular Biophysics Department, Max Planck Institute for Medical Research, Heidelberg, Germany.
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5
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Silver NA, Pearson G, Kucherlapaty P, Kalla S, Schillo B. To Tweet or Not to Tweet: Tweets About Tobacco Regulation can Help Disseminate Anti-regulatory Messages. Nicotine Tob Res 2023; 25:1603-1609. [PMID: 37209413 DOI: 10.1093/ntr/ntad078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 05/08/2023] [Accepted: 05/16/2023] [Indexed: 05/22/2023]
Abstract
INTRODUCTION Twitter enables public organizations to engage the public in health policy discourse. However, documented hostility towards tobacco control proposals on Twitter suggests that a closer examination of the nature of interaction with such content is warranted. AIMS AND METHODS We scraped tweets from government bodies with tobacco control interests between July and November of 2021 (N = 3889), 2 months before and after the Food and Drug Administration's (FDA) Premarket Tobacco Authorization Act's (PMTA) September deadline. PMTA is a review process for authorizing the sale of new and existing e-cigarette or vaping products. Tweets related to PMTA were identified (n = 52) using a keyword filter. A content analysis of quote tweets and replies examined the amplification of pro and anti-policy sentiment via likes and retweets. RESULTS Replies were overwhelmingly anti-policy (96.7%). Moreover, the amplification of these replies, including 83.3% of likes and 65.6% of retweets, amplified anti-policy replies. Quote tweets, which allow users to add their own commentary to an existing tweet, were 77.9% (n = 120) anti-policy, receiving 87.7% of likes (n = 1708) and 86.2% of retweets (n = 726) compared to pro-policy quote tweets (n = 240 likes and n = 116 retweets). Regression analyses showed a significantly greater amplification of anti-policy content. CONCLUSIONS Communicating about tobacco policy on Twitter carries risks. Anti-policy advocates can weaponize quote tweets for easy construction of messages designed in accordance with evidence-based guidelines for conferring resistance to persuasion. Future research should examine whether public health organizations can adapt this strategy to counter anti-regulatory advocates on Twitter. IMPLICATIONS The primary implications of this research are that communication about tobacco policy on Twitter should be part of a broader public engagement strategy with quantifiable metrics of success. The information environment on Twitter is demonstrably hostile to pro-tobacco regulatory policy positions. As a result, efforts to engage on the platform by regulatory institutions like the FDA can inadvertently provide materials that are easily leveraged as effective counter-messaging. Moreover, this counter-messaging can disseminate more broadly than the original message.
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Affiliation(s)
| | - George Pearson
- Schroeder Institute, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Swetha Kalla
- Schroeder Institute, Truth Initiative, Washington, DC, USA
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6
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Blackiston D, Kriegman S, Bongard J, Levin M. Biological Robots: Perspectives on an Emerging Interdisciplinary Field. Soft Robot 2023; 10:674-686. [PMID: 37083430 PMCID: PMC10442684 DOI: 10.1089/soro.2022.0142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
Advances in science and engineering often reveal the limitations of classical approaches initially used to understand, predict, and control phenomena. With progress, conceptual categories must often be re-evaluated to better track recently discovered invariants across disciplines. It is essential to refine frameworks and resolve conflicting boundaries between disciplines such that they better facilitate, not restrict, experimental approaches and capabilities. In this essay, we address specific questions and critiques which have arisen in response to our research program, which lies at the intersection of developmental biology, computer science, and robotics. In the context of biological machines and robots, we explore changes across concepts and previously distinct fields that are driven by recent advances in materials, information, and life sciences. Herein, each author provides their own perspective on the subject, framed by their own disciplinary training. We argue that as with computation, certain aspects of developmental biology and robotics are not tied to specific materials; rather, the consilience of these fields can help to shed light on issues of multiscale control, self-assembly, and relationships between form and function. We hope new fields can emerge as boundaries arising from technological limitations are overcome, furthering practical applications from regenerative medicine to useful synthetic living machines.
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Affiliation(s)
- Douglas Blackiston
- Department of Biology, Allen Discovery Center at Tufts University, Medford, Massachusetts, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
- Institute for Computationally Designed Organisms, Massachusetts and Vermont, USA
| | - Sam Kriegman
- Institute for Computationally Designed Organisms, Massachusetts and Vermont, USA
- Center for Robotics and Biosystems, Northwestern University, Evanston, Illinois, USA
- Center for Synthetic Biology, Northwestern University, Evanston, Illinois, USA
| | - Josh Bongard
- Institute for Computationally Designed Organisms, Massachusetts and Vermont, USA
- Department of Computer Science, University of Vermont, Burlington, Vermont, USA
| | - Michael Levin
- Department of Biology, Allen Discovery Center at Tufts University, Medford, Massachusetts, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
- Institute for Computationally Designed Organisms, Massachusetts and Vermont, USA
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7
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Buettmann EG, Chlebek C, Lockard CA, Clayton SW, Lewis KJ, Collins KH. Post or perish? Social media strategies for disseminating orthopedic research. J Orthop Res 2023; 41:1643-1652. [PMID: 37163368 PMCID: PMC10524931 DOI: 10.1002/jor.25588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 04/07/2023] [Accepted: 05/01/2023] [Indexed: 05/12/2023]
Abstract
Social media usage, particularly Twitter, among scientists in academia has increased in recent years. However, Twitter's use in scholarly post-publication dissemination of orthopaedic research and musculoskeletal advocacy remains low. To enhance usage of Twitter among musculoskeletal researchers, this article reviews data supporting the professional benefits of using the platform to disseminate scholarly works. Next, we provide a linear workflow for Tweet curation, discuss the importance of data-driven decision making behind tweet curation and posting, and propose new guidelines for professional Twitter usage. Since this workflow may not eliminate all the identified barriers and new institutionalized shifts in policies regarding curation and consumption of social media on Twitter, we also briefly introduce and explore using other social media platforms. We hope this information will be persuasive and compelling to those in the orthopedic research field and be broadly applicable to others in related scientific fields who wish to disseminate findings and engage a public audience on social media. In addition, we encourage the Orthopedic Research Society (ORS) and Journal of Orthopedic Research (JOR) communities to take advantage of the many tools curated by the Wiley editorial office and the ORS social media committee to increase dissemination of their scholarly works online. Twitter and social media can assist in accomplishing our mission of creating a world without musculoskeletal limitations via the timely dissemination of orthopedic information. However, this can only be accomplished if the orthopedic research community has a unified and strong online presence actively engaged in orthopaedic research findings and news.
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Affiliation(s)
- Evan G. Buettmann
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA
| | - Carolyn Chlebek
- Center for Molecular Medicine, MaineHealth Institute for Research, Scarborough, ME
| | - Carly A. Lockard
- Stephens Family Clinical Research Institute, Carle Foundation Hospital, Urbana, IL
| | - Sade W. Clayton
- Department of Orthopedic Surgery, Washington University in St. Louis, St. Louis, MO
| | - Karl J. Lewis
- Department of Biomedical Engineering, Cornell University. Ithaca, NY
| | - Kelsey H. Collins
- Department of Orthopedic Surgery, Washington University in St. Louis, St. Louis, MO
- Shriners Hospitals for Children, St. Louis, MO
- Department of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA
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8
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Borowiec BG. Ten simple rules for scientists engaging in science communication. PLoS Comput Biol 2023; 19:e1011251. [PMID: 37471282 PMCID: PMC10358936 DOI: 10.1371/journal.pcbi.1011251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2023] Open
Affiliation(s)
- Brittney G Borowiec
- Department of Biology, University of Waterloo, Waterloo, Canada
- Freelance science writer and editor (website: www.bgborowiec.com)
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9
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Ten simple rules for failing successfully in academia. PLoS Comput Biol 2022; 18:e1010538. [PMID: 36520776 PMCID: PMC9754284 DOI: 10.1371/journal.pcbi.1010538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Failure is an integral part of life and by extension academia. At the same time, failure is often ignored, with potentially negative consequences both for the science and the scientists involved. This article provides several strategies for learning from and dealing with failure instead of ignoring it. Hopefully, our recommendations are widely applicable, while still taking into account individual differences between academics. These simple rules allow academics to further develop their own strategies for failing successfully in academia.
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10
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User engagement with scholarly tweets of scientific papers: a large-scale and cross-disciplinary analysis. Scientometrics 2022. [DOI: 10.1007/s11192-022-04468-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
AbstractThis study investigates the extent to which scholarly tweets of scientific papers are engaged with by Twitter users through four types of user engagement behaviors, i.e., liking, retweeting, quoting, and replying. Based on a sample consisting of 7 million scholarly tweets of Web of Science papers, our results show that likes is the most prevalent engagement metric, covering 44% of scholarly tweets, followed by retweets (36%), whereas quotes and replies are only present for 9% and 7% of all scholarly tweets, respectively. From a disciplinary point of view, scholarly tweets in the field of Social Sciences and Humanities are more likely to trigger user engagement over other subject fields. The presence of user engagement is more associated with other Twitter-based factors (e.g., number of mentioned users in tweets and number of followers of users) than with science-based factors (e.g., citations and Mendeley readers of tweeted papers). Building on these findings, this study sheds light on the possibility to apply user engagement metrics in measuring deeper levels of Twitter reception of scholarly information.
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11
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Diversifying the genomic data science research community. Genome Res 2022; 32:gr.276496.121. [PMID: 35858750 PMCID: PMC9341509 DOI: 10.1101/gr.276496.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 06/02/2022] [Indexed: 11/25/2022]
Abstract
Over the past 20 years, the explosion of genomic data collection and the cloud computing revolution have made computational and data science research accessible to anyone with a web browser and an internet connection. However, students at institutions with limited resources have received relatively little exposure to curricula or professional development opportunities that lead to careers in genomic data science. To broaden participation in genomics research, the scientific community needs to support these programs in local education and research at underserved institutions (UIs). These include community colleges, historically Black colleges and universities, Hispanic-serving institutions, and tribal colleges and universities that support ethnically, racially, and socioeconomically underrepresented students in the United States. We have formed the Genomic Data Science Community Network to support students, faculty, and their networks to identify opportunities and broaden access to genomic data science. These opportunities include expanding access to infrastructure and data, providing UI faculty development opportunities, strengthening collaborations among faculty, recognizing UI teaching and research excellence, fostering student awareness, developing modular and open-source resources, expanding course-based undergraduate research experiences (CUREs), building curriculum, supporting student professional development and research, and removing financial barriers through funding programs and collaborator support.
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Ettinger CL, Sadanandappa MK, Görgülü K, Coghlan KL, Hallenbeck KK, Puebla I. A guide to preprinting for early-career researchers. Biol Open 2022; 11:276073. [PMID: 35876380 PMCID: PMC9346271 DOI: 10.1242/bio.059310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The use of preprints, research manuscripts shared publicly before completing the traditional peer-review process, is becoming a more common practice among life science researchers. Early-career researchers (ECRs) benefit from posting preprints as they are shareable, citable, and prove productivity. However, preprinting a manuscript involves a discussion among all co-authors, and ECRs are often not the decision-makers. Therefore, ECRs may find themselves in situations where they are interested in depositing a preprint but are unsure how to approach their co-authors or advisor about preprinting. Leveraging our own experiences as ECRs, and feedback from the research community, we have constructed a guide for ECRs who are considering preprinting to enable them to take ownership over the process and to raise awareness about preprinting options. We hope that this guide helps ECRs to initiate conversations about preprinting with co-authors and encourage them to preprint their future research. Summary: Are you an early-career researcher considering preprinting, but unsure how to approach conversations about the possibility? Here, we discuss preprinting and provide tips to enable you to take ownership over the process.
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Affiliation(s)
- Cassandra L Ettinger
- Department of Microbiology and Plant Pathology, University of California, Riverside, CA 92521, USA
| | - Madhumala K Sadanandappa
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA
| | - Kıvanç Görgülü
- Comprehensive Cancer Center Munich, Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany
| | - Karen L Coghlan
- George C. Gordon Library, Worcester Polytechnic Institute, Worcester, MA 01609, USA
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13
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Bautista C, Alfuraiji N, Drangowska-Way A, Gangwani K, de Flamingh A, Bourne PE. Ten simple rules for improving communication among scientists. PLoS Comput Biol 2022; 18:e1010130. [PMID: 35737640 PMCID: PMC9223317 DOI: 10.1371/journal.pcbi.1010130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Communication is a fundamental part of scientific development and methodology. With the advancement of the internet and social networks, communication has become rapid and sometimes overwhelming, especially in science. It is important to provide scientists with useful, effective, and dynamic tools to establish and build a fluid communication framework that allows for scientific advancement. Therefore, in this article, we present advice and recommendations that can help promote and improve science communication while respecting an adequate balance in the degree of commitment toward collaborative work. We have developed 10 rules shown in increasing order of commitment that are grouped into 3 key categories: (1) speak (based on active participation); (2) join (based on joining scientific groups); and (3) assess (based on the analysis and retrospective consideration of the weaknesses and strengths). We include examples and resources that provide actionable strategies for involvement and engagement with science communication, from basic steps to more advanced, introspective, and long-term commitments. Overall, we aim to help spread science from within and encourage and engage scientists to become involved in science communication effectively and dynamically.
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Affiliation(s)
- Carla Bautista
- Early Career Scientist Communication and Outreach Subcommittee, Genetics Society of America, Rockville, Maryland, United States of America
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada
- Département de Biologie, Faculté des Sciences et de Génie, Université Laval, Québec, Québec, Canada
- Regroupement Québécois de Recherche sur la Fonction, la Structure et L’ingénierie des Protéines (PROTEO), Université Laval, Québec, Québec, Canada
- Centre de Recherche en Données Massives (CRDM), Université Laval, Québec, Québec, Canada
- * E-mail:
| | - Narjes Alfuraiji
- Early Career Scientist Communication and Outreach Subcommittee, Genetics Society of America, Rockville, Maryland, United States of America
- Department of Pharmacology, College of Medicine, University of Kerbala, Kerbala, Iraq
| | - Anna Drangowska-Way
- Early Career Scientist Communication and Outreach Subcommittee, Genetics Society of America, Rockville, Maryland, United States of America
- Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, Virginia, United States of America
| | - Karishma Gangwani
- Early Career Scientist Communication and Outreach Subcommittee, Genetics Society of America, Rockville, Maryland, United States of America
- Department of Biology, University of Dayton, Dayton, Ohio, United States of America
| | - Alida de Flamingh
- Early Career Scientist Communication and Outreach Subcommittee, Genetics Society of America, Rockville, Maryland, United States of America
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, Illinois, United States of America
| | - Philip E. Bourne
- School of Data Science, University of Virginia, Charlottesville, Virginia, United States of America
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14
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How to use Twitter at a Scientific Conference. mSphere 2022; 7:e0012122. [PMID: 35531658 PMCID: PMC9241539 DOI: 10.1128/msphere.00121-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
In the past decade, social media platforms have been recognized as an important tool in the dissemination of science among the research community and as an interface between scientists and the general public. Publishing companies that specialize in scientific research now pay attention to alternative metrics (“altmetrics”) and provide comprehensive guides about social media management to editors. Twitter has emerged as a leader among social media platforms in the dissemination of science. This Perspective will assert the merits of using Twitter to expand the reach of scientific conferences while providing guidance on how to disseminate conference findings in real-time, called “live-tweeting,” without compromising scientific integrity.
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15
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Raby CL, Cusick JA, Fürtbauer I, Graham KE, Habig B, Hauber ME, Madden JR, Strauss AV, Fernández-Juricic E. An inclusive venue to discuss behavioural biology research: the first global Animal Behaviour Twitter Conference. Anim Behav 2022. [DOI: 10.1016/j.anbehav.2022.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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16
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Chen R, Muralidharan K, Samelson-Jones B. Digital haemophilia: Insights into the use of social media for haemophilia care, research and advocacy. Haemophilia 2022; 28:247-253. [PMID: 35167716 PMCID: PMC8917073 DOI: 10.1111/hae.14510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/27/2022] [Accepted: 01/31/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION The haemophilia community on Twitter is diverse, consisting of advocacy groups, patients, physicians, researchers and other users. However, the scope of this community is uncharacterized, and limited data is available regarding effective participation in this community. AIM To assess the types of users active in the haemophilia community on Twitter, as well as major themes present in haemophilia-related tweets. METHODS Forty-nine thousand five hundred and twelve tweets between September 2019 and September 2021 were classified using regular expressions. A subset of the classified tweets was manually analysed to identify prevalent discussion themes. RESULTS Among the top 250 users by post count, the largest categories of users were support and advocacy groups, people with bleeding disorders and healthcare providers. The largest thematic categories of tweets were gene therapy, contaminated haemophilia blood products, haemophilia research, clinical management of haemophilia and COVID-19. While misinformation was rare, negative and incorrect perceptions of haemophilia were present among the general public. CONCLUSION Our results demonstrate patterns of effective Twitter usage for patient care, research and advocacy purposes among the haemophilia community.
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Affiliation(s)
- Robert Chen
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,Department of Pediatrics, Division of Hematology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kavitha Muralidharan
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,Department of Pediatrics, Division of Hematology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Benjamin Samelson-Jones
- Department of Pediatrics, Division of Hematology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,The Raymond G. Perelman Center for Cellular and Molecular Therapeutics, The Children’s Hospital of Philadelphia, Philadelphia, PA
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17
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Aron S, Jongeneel CV, Chauke PA, Chaouch M, Kumuthini J, Zass L, Radouani F, Kassim SK, Fadlelmola FM, Mulder N. Ten simple rules for developing bioinformatics capacity at an academic institution. PLoS Comput Biol 2021; 17:e1009592. [PMID: 34882684 PMCID: PMC8659687 DOI: 10.1371/journal.pcbi.1009592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Affiliation(s)
- Shaun Aron
- Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
- * E-mail:
| | | | - Paballo Abel Chauke
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Melek Chaouch
- Laboratory of bioinformatics, biomathematics and biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Belvédère, Tunisia
| | - Judit Kumuthini
- South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa
| | - Lyndon Zass
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Fouzia Radouani
- Chlamydiae & Mycoplasmas Laboratory Research Department, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Samar Kamal Kassim
- Medical Biochemistry & Molecular Biology Department, and MASRI Research Institute, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Faisal M. Fadlelmola
- Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan
| | - Nicola Mulder
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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18
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Vijaykumar S, Raamkumar AS, McCarty K, Mutumbwa C, Mustafa J, Au C. Themes, communities and influencers of online probiotics chatter: A retrospective analysis from 2009-2017. PLoS One 2021; 16:e0258098. [PMID: 34673767 PMCID: PMC8530318 DOI: 10.1371/journal.pone.0258098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 09/19/2021] [Indexed: 12/02/2022] Open
Abstract
We build on recent examinations questioning the quality of online information about probiotic products by studying the themes of content, detecting virtual communities and identifying key influencers in social media using data science techniques. We conducted topic modelling (n = 36,715 tweets) and longitudinal social network analysis (n = 17,834 tweets) of probiotic chatter on Twitter from 2009–17. We used Latent Dirichlet Allocation (LDA) to build the topic models and network analysis tool Gephi for building yearly graphs. We identified the top 10 topics of probiotics-related communication on Twitter and a constant rise in communication activity. However the number of communities grew consistently to peak in 2014 before dipping and levelling off by 2017. While several probiotics industry actors appeared and disappeared during this period, the influence of one specific actor rose from a hub initially to an authority in the latter years. With multi-brand advertising and probiotics promotions mostly occupying the Twitter chatter, scientists, journalists, or policymakers exerted minimal influence in these communities. Consistent with previous research, we find that probiotics-related content on social media veers towards promotions and benefits. Probiotic industry actors maintain consistent presence on Twitter while transitioning from hubs to authorities over time; scientific entities assume an authoritative role without much engagement. The involvement of scientific, journalistic or regulatory stakeholders will help create a balanced informational environment surrounding probiotic products.
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Affiliation(s)
- Santosh Vijaykumar
- Department of Psychology, Faculty of Health & Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
- * E-mail:
| | | | - Kristofor McCarty
- Department of Psychology, Faculty of Health & Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Cuthbert Mutumbwa
- Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Jawwad Mustafa
- Department of Psychology, Faculty of Health & Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
| | - Cyndy Au
- Kong Chian School of Business, Singapore Management University, Singapore, Singapore
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19
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McEvoy NL. How to compose a good research tweet: Five steps to ensure your tweet reaches a wider audience. Nurs Crit Care 2021; 26 Suppl 1:6-7. [PMID: 34651387 DOI: 10.1111/nicc.12692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Natalie L McEvoy
- Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland
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20
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Hanspers K, Kutmon M, Coort SL, Digles D, Dupuis LJ, Ehrhart F, Hu F, Lopes EN, Martens M, Pham N, Shin W, Slenter DN, Waagmeester A, Willighagen EL, Winckers LA, Evelo CT, Pico AR. Ten simple rules for creating reusable pathway models for computational analysis and visualization. PLoS Comput Biol 2021; 17:e1009226. [PMID: 34411100 PMCID: PMC8375987 DOI: 10.1371/journal.pcbi.1009226] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Affiliation(s)
- Kristina Hanspers
- Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, California, United States of America
| | - Martina Kutmon
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Susan L. Coort
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
| | - Daniela Digles
- Department of Pharmaceutical Sciences, Division of Pharmaceutical Sciences, University of Vienna, Vienna, Austria
| | - Lauren J. Dupuis
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
| | - Friederike Ehrhart
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
| | - Finterly Hu
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Elisson N. Lopes
- Instituto de Ciencias Biologicas, Departamento de Bioquimica e Imunologia, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Marvin Martens
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
| | - Nhung Pham
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Woosub Shin
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
| | - Denise N. Slenter
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
| | | | - Egon L. Willighagen
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
| | - Laurent A. Winckers
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
| | - Chris T. Evelo
- Department of Bioinformatics—BiGCaT, NUTRIM, Maastricht University, Maastricht, the Netherlands
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Alexander R. Pico
- Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, California, United States of America
- * E-mail:
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21
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Amorim CEG, Dasari M, Durgavich L, Hinde K, Kissel M, Lewton KL, Loewen T. Integrative approaches to dispersing science: A case study of March Mammal Madness. Am J Hum Biol 2021; 34 Suppl 1:e23659. [PMID: 34358377 DOI: 10.1002/ajhb.23659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/16/2021] [Accepted: 07/20/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES Public engagement is increasingly viewed as an important pillar of scientific scholarship. For early career and established scholars, navigating the mosaic landscape of public education and science communication, noted for rapid "ecological" succession, can be daunting. Moreover, academics are characterized by diverse skills, motivations, values, positionalities, and temperaments that may differentially incline individuals to particular public translation activities. METHODS Here we briefly contextualize engagement activities within a scholarly portfolio, describe the use of one public education program-March Mammal Madness (MMM)- to highlight approaches to science communication, and explore essential elements and practical considerations for creating and sustaining outreach pursuits in tandem with other scholarly activities. RESULTS MMM, an annual simulated tournament of living and fossil animal taxa, has reached hundreds of thousands of learners since 2013. This program has provided a platform to communicate research findings from biology and anthropology and showcase numerous scholars in these fields. MMM has leveraged tournament devices to intentionally address topics of climate change, capitalist environmental degradation, academic sexism, and racist settler-colonialism. The tournament, however, has also perpetuated implicit biases that need disrupting. CONCLUSIONS By embracing reflexive, self-interrogative, and growth attitudes, the tournament organizers iteratively refine and improve this public science education program to better align our activities with our values and goals. Our experiences with MMM suggest that dispersing science is most sustainable when we combine ancestral adaptations for cooperation, community, and storytelling with good-natured competition in the context of shared experiences and shared values.
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Affiliation(s)
| | - Mauna Dasari
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA
| | - Lara Durgavich
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Katie Hinde
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, USA
| | - Marc Kissel
- Department of Anthropology, Appalachian State University, Boone, North Carolina, USA
| | - Kristi L Lewton
- Department of Integrative Anatomical Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Tisa Loewen
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, USA
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22
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Fox MP, Carr K, D'Agostino McGowan L, Murray EJ, Hidalgo B, Banack HR. Will Podcasting and Social Media Replace Journals and Traditional Science Communication? No, but... Am J Epidemiol 2021; 190:1625-1631. [PMID: 34089048 DOI: 10.1093/aje/kwab172] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/01/2021] [Accepted: 06/02/2021] [Indexed: 01/17/2023] Open
Abstract
The digital world in which we live is changing rapidly. The evolving media environment is having a direct impact on traditional forms of communication and knowledge translation in public health and epidemiology. Openly accessible digital media can be used to reach a broader and more diverse audience of trainees, scientists, and the lay public than can traditional forms of scientific communication. The new digital landscape for delivering content is vast, and new platforms are continuously being added. In this article, we focus on several, including Twitter and podcasting, and discuss their relevance to epidemiology and science communication. We highlight 3 key reasons why we think epidemiologists should be engaging with these mediums: 1) science communication, 2) career advancement, and 3) development of a community and public service. Other positive and negative consequences of engaging in these forms of new media are also discussed. The authors of this commentary are all engaged in social media and podcasting for scientific communication, and we reflect on our experiences with these mediums as tools to advance the field of epidemiology.
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23
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Research Techniques Made Simple: Scientific Communication using Twitter. J Invest Dermatol 2021; 141:1615-1621.e1. [PMID: 34167718 DOI: 10.1016/j.jid.2021.03.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 03/17/2021] [Accepted: 03/23/2021] [Indexed: 11/22/2022]
Abstract
The scientific process depends on social interactions: communication and dissemination of research findings, evaluation and discussion of scientific work, and collaboration with other scientists. Social media, and specifically, Twitter has accelerated the ability to accomplish these goals. We discuss the ways that Twitter is used by scientists and provide guidance on navigating the academic Twitter community.
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24
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Hammer CC, Boender TS, Thomas DR. Social media for field epidemiologists (#SoMe4epi): How to use Twitter during the #COVID19 pandemic. Int J Infect Dis 2021; 110 Suppl 1:S11-S16. [PMID: 34022332 DOI: 10.1016/j.ijid.2021.05.035] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 05/05/2021] [Accepted: 05/15/2021] [Indexed: 01/29/2023] Open
Abstract
The COVID-19 pandemic has fundamentally changed the way that public health professionals work and communicate. Over a very short time span, remote working arrangements have become the norm, and meetings have shifted online. Physical distancing measures have accelerated a trend toward digital communication and social exchange. At the same time, the work of epidemiologists has been held under a magnifying glass by journalists, governments and the general public, in a way not previously seen. With social media becoming an integral part of our society over the last decade, Twitter is now a key communication tool and platform for social networking among epidemiologists (#EpiTwitter). In this article, we reflect on the use of Twitter by field epidemiologists and public health microbiologists for rapid professional exchange, public communication of science and professional development during the pandemic and the associated risks. For those field epidemiologists new to social media, we discuss how Twitter can be used in a variety of ways, both at their home institutions and during field deployment. These include information dissemination, science communication and public health advocacy, professional development, networking and experience exchange.
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Affiliation(s)
- Charlotte C Hammer
- Finnish Institute for Health and Welfare, Department of Health Security, Mannerheimintie 166, 00400 Helsinki, Finland; European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden.
| | - T Sonia Boender
- European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden; Robert Koch Institute, Department for Infectious Disease Epidemiology, Seestrasse 10, 13353 Berlin, Germany; Postgraduate Training for Applied Epidemiology (PAE), Robert Koch Institute, Berlin, Germany. https://twitter.com/@SoniaBoender
| | - Daniel Rh Thomas
- European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, (ECDC), Stockholm, Sweden; Public Health Wales, Communicable Disease Surveillance Centre, Cardiff, United Kingdom. https://twitter.com/@DanielRhysThom1
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25
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Chacón‐Labella J, Boakye M, Enquist BJ, Farfan‐Rios W, Gya R, Halbritter AH, Middleton SL, von Oppen J, Pastor‐Ploskonka S, Strydom T, Vandvik V, Geange SR. From a crisis to an opportunity: Eight insights for doing science in the COVID-19 era and beyond. Ecol Evol 2021; 11:3588-3596. [PMID: 33898011 PMCID: PMC8057324 DOI: 10.1002/ece3.7026] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 10/16/2020] [Indexed: 11/16/2022] Open
Abstract
The COVID-19 crisis has forced researchers in Ecology to change the way we work almost overnight. Nonetheless, the pandemic has provided us with several novel components for a new way of conducting science. In this perspective piece, we summarize eight central insights that are helping us, as early career researchers, navigate the uncertainties, fears, and challenges of advancing science during the COVID-19 pandemic. We highlight how innovative, collaborative, and often Open Science-driven developments that have arisen from this crisis can form a blueprint for a community reinvention in academia. Our insights include personal approaches to managing our new reality, maintaining capacity to focus and resilience in our projects, and a variety of tools that facilitate remote collaboration. We also highlight how, at a community level, we can take advantage of online communication platforms for gaining accessibility to conferences and meetings, and for maintaining research networks and community engagement while promoting a more diverse and inclusive community. Overall, we are confident that these practices can support a more inclusive and kinder scientific culture for the longer term.
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Affiliation(s)
| | - Mickey Boakye
- Department of Environmental Science Policy and ManagementUniversity of CaliforniaBerkeleyCAUSA
| | - Brian J. Enquist
- Department of Ecology and Evolutionary BiologyUniversity of ArizonaTucsonAZUSA
- The Santa Fe InstituteSanta FeNMUSA
| | - William Farfan‐Rios
- Center for Conservation and Sustainable DevelopmentMissouri Botanical GardenSt LouisMOUSA
- Living Earth CollaborativeWashington UniversitySt LouisMOUSA
| | - Ragnhild Gya
- Department of Biological SciencesUniversity of BergenBergenNorway
- Bjerknes Center for Climate ResearchBergenNorway
| | - Aud H. Halbritter
- Department of Biological SciencesUniversity of BergenBergenNorway
- Bjerknes Center for Climate ResearchBergenNorway
| | | | - Jonathan von Oppen
- Section for Ecoinformatics & BiodiversityDepartment of BiologyAarhus UniversityAarhus CDenmark
- Center for Biodiversity Dynamics in a Changing WorldDepartment of BiologyAarhus UniversityAarhus CDenmark
| | | | - Tanya Strydom
- Department of EcologyEnvironment and Plant SciencesStockholm UniversityStockholmSweden
| | - Vigdis Vandvik
- Department of Biological SciencesUniversity of BergenBergenNorway
- Bjerknes Center for Climate ResearchBergenNorway
| | - Sonya R. Geange
- Department of Biological SciencesUniversity of BergenBergenNorway
- Bjerknes Center for Climate ResearchBergenNorway
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26
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Jones JH, Pisor AC, Douglass KG, Bird RB, Ready E, Hazel A, Hackman J, Kramer KL, Kohler TA, Pontzer H, Towner MC. How can evolutionary and biological anthropologists engage broader audiences? Am J Hum Biol 2021; 33:e23592. [PMID: 33751710 DOI: 10.1002/ajhb.23592] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 02/25/2021] [Accepted: 02/26/2021] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVES With our diverse training, theoretical and empirical toolkits, and rich data, evolutionary and biological anthropologists (EBAs) have much to contribute to research and policy decisions about climate change and other pressing social issues. However, we remain largely absent from these critical, ongoing efforts. Here, we draw on the literature and our own experiences to make recommendations for how EBAs can engage broader audiences, including the communities with whom we collaborate, a more diverse population of students, researchers in other disciplines and the development sector, policymakers, and the general public. These recommendations include: (1) playing to our strength in longitudinal, place-based research, (2) collaborating more broadly, (3) engaging in greater public communication of science, (4) aligning our work with open-science practices to the extent possible, and (5) increasing diversity of our field and teams through intentional action, outreach, training, and mentorship. CONCLUSIONS We EBAs need to put ourselves out there: research and engagement are complementary, not opposed to each other. With the resources and workable examples we provide here, we hope to spur more EBAs to action.
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Affiliation(s)
- James Holland Jones
- Department of Earth System Science, Stanford University, Stanford, California, USA
| | - Anne C Pisor
- Department of Anthropology, Washington State University, Pullman, Washington, USA.,Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Kristina G Douglass
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Rebecca Bliege Bird
- Department of Anthropology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Elspeth Ready
- Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Ashley Hazel
- Department of Earth System Science, Stanford University, Stanford, California, USA
| | - Joseph Hackman
- Department of Anthropology, University of Utah, Salt Lake City, Utah, USA
| | - Karen L Kramer
- Department of Anthropology, University of Utah, Salt Lake City, Utah, USA
| | - Timothy A Kohler
- Department of Anthropology, Washington State University, Pullman, Washington, USA.,Santa Fe Institute, Santa Fe, New Mexico, USA.,Crow Canyon Archaeological Center, Cortez, Colorado, USA
| | - Herman Pontzer
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, USA
| | - Mary C Towner
- Department of Integrative Biology, Oklahoma State University, Stillwater, Oklahoma, USA
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27
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Hinde K, Amorim CEG, Brokaw AF, Burt N, Casillas MC, Chen A, Chestnut T, Connors PK, Dasari M, Ditelberg CF, Dietrick J, Drew J, Durgavich L, Easterling B, Henning C, Hilborn A, Karlsson EK, Kissel M, Kobylecky J, Krell J, Lee DN, Lesciotto KM, Lewton KL, Light JE, Martin J, Murphy A, Nickley W, Núñez-de la Mora A, Pellicer O, Pellicer V, Perry AM, Schuttler SG, Stone AC, Tanis B, Weber J, Wilson M, Willcocks E, Anderson CN. March Mammal Madness and the power of narrative in science outreach. eLife 2021; 10:e65066. [PMID: 33616530 PMCID: PMC7899649 DOI: 10.7554/elife.65066] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 01/29/2021] [Indexed: 01/28/2023] Open
Abstract
March Mammal Madness is a science outreach project that, over the course of several weeks in March, reaches hundreds of thousands of people in the United States every year. We combine four approaches to science outreach - gamification, social media platforms, community event(s), and creative products - to run a simulated tournament in which 64 animals compete to become the tournament champion. While the encounters between the animals are hypothetical, the outcomes rely on empirical evidence from the scientific literature. Players select their favored combatants beforehand, and during the tournament scientists translate the academic literature into gripping "play-by-play" narration on social media. To date ~1100 scholarly works, covering almost 400 taxa, have been transformed into science stories. March Mammal Madness is most typically used by high-school educators teaching life sciences, and we estimate that our materials reached ~1% of high-school students in the United States in 2019. Here we document the intentional design, public engagement, and magnitude of reach of the project. We further explain how human psychological and cognitive adaptations for shared experiences, social learning, narrative, and imagery contribute to the widespread use of March Mammal Madness.
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Affiliation(s)
- Katie Hinde
- School of Human Evolution and Social Change, the Center for Evolution and Medicine, and the School of Sustainability, Arizona State UniversityTempeUnited States
- Department of Human Evolutionary Biology, Harvard UniversityCambridgeUnited States
| | - Carlos Eduardo G Amorim
- Department of Biology, California State University NorthridgeNorthridgeUnited States
- Department of Computational Biology, University of LausanneLausanneSwitzerland
| | - Alyson F Brokaw
- Interdisciplinary Program in Ecology and Evolutionary Biology, Department of Biology, Texas A&M UniversityCollege StationUnited States
| | - Nicole Burt
- Department of Human Health and Evolutionary Medicine, Cleveland Museum of Natural HistoryClevelandUnited States
| | | | - Albert Chen
- Milner Centre for Evolution, University of BathBathUnited Kingdom
- Department of Earth Sciences, University of CambridgeCambridgeUnited Kingdom
| | - Tara Chestnut
- National Park ServiceMount Rainier National ParkUnited States
- Department of Fisheries and Wildlife, Oregon State UniversityCorvallisUnited States
| | - Patrice K Connors
- Department of Biological Sciences, Colorado Mesa UniversityGrand JunctionUnited States
| | - Mauna Dasari
- Department of Biological Sciences, University of Notre DameNotre DameUnited States
| | | | | | - Josh Drew
- Department of Ecology, Evolution and Environmental Biology, Columbia UniversityNew YorkUnited States
- Department of Vertebrate Zoology, American Museum of Natural HistorySyracuseUnited States
- Department of Environmental and Forest Biology, SUNY College of Environmental Science and ForestrySyracuseUnited States
| | - Lara Durgavich
- Department of Human Evolutionary Biology, Harvard UniversityCambridgeUnited States
- Department of Anthropology, Boston UniversityBostonUnited States
- Department of Anthropology, Tufts UniversityMedfordUnited States
| | | | | | - Anne Hilborn
- Department of Evolution, Ecology, and Organismal Biology, University of California RiversideRiversideUnited States
| | - Elinor K Karlsson
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical SchoolWorcesterUnited States
- Broad Institute of MIT and HarvardCambridgeUnited States
| | - Marc Kissel
- Department of Anthropology, Appalachian State UniversityBooneUnited States
- Department of Anthropology, University of Notre DameNotre DameUnited States
| | | | - Jason Krell
- Center for Science and Imagination, Arizona State UniversityTempeUnited States
| | - Danielle N Lee
- Department of Biological Sciences, Southern Illinois University EdwardsvilleEdwardsvilleUnited States
| | - Kate M Lesciotto
- Department of Clinical Anatomy, College of Osteopathic Medicine, Sam Houston State UniversityHuntsvilleUnited States
- Department of Anthropology, Pennsylvania State UniversityState CollegeUnited States
| | - Kristi L Lewton
- Department of Human Evolutionary Biology, Harvard UniversityCambridgeUnited States
- Department of Integrative Anatomical Sciences, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
- Department of Mammalogy, Natural History Museum of Los Angeles CountyLos AngelesUnited States
- Department of Anatomy & Neurobiology, Boston University School of MedicineBostonUnited States
| | - Jessica E Light
- Department of Ecology and Conservation Biology, the Biodiversity Research and Teaching Collections, and the Interdisciplinary Program in Ecology and Evolution, Texas A&M UniversityCollege StationUnited States
| | - Jessica Martin
- School of Human Evolution and Social Change, Arizona State UniversityTempeUnited States
| | - Asia Murphy
- Department of Ecosystem Science and Management, Huck Institutes of the Life Sciences, Pennsylvania State UniversityUniversity ParkUnited States
| | - William Nickley
- Department of Design, The Ohio State UniversityColumbusUnited States
| | | | | | | | - Anali Maughan Perry
- Engagement & Learning Services, ASU Library, Arizona State UniversityTempeUnited States
| | | | - Anne C Stone
- Human Evolution and Social Change, the Center for Evolution, and Medicine, and the Institute of Human Origins, Arizona State UniversityTempeUnited States
| | - Brian Tanis
- Department of Biology, Oregon State University-CascadesBendUnited States
| | - Jesse Weber
- Department of Integrative Biology, University of Wisconsin-MadisonMadisonUnited States
| | - Melissa Wilson
- School of Life Sciences and the Center for Evolution and Medicine, Arizona State UniversityTempeUnited States
| | - Emma Willcocks
- Department of Biology, Brown UniversityProvidenceUnited States
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28
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Defining the Flow—Using an Intersectional Scientific Methodology to Construct a VanguardSTEM Hyperspace. GENEALOGY 2021. [DOI: 10.3390/genealogy5010008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
#VanguardSTEM is an online community and platform that centers the experiences of women, girls, and non-binary people of color in science, technology, engineering, and mathematics (STEM) fields. We publish original and curated content, using cultural production, to include a multiplicity of identities as worthy of recognition and thus redefine STEM identity and belonging. #VanguardSTEM is rooted firmly in Queer, Black feminisms which delineate that the experiences and critiques of Black women matter and that these insights can foster a restorative and regenerative construction of the cultures in which we exist. In describing how #VanguardSTEM descended from counterspaces, we draw on speculative fiction to define a #VanguardSTEM hyperspace as a fluid “place-time” that is born digital and enabled by social media, but materializes in the physical world for specific purposes. As Black women in STEM, we consider how our situated knowledges and scientific expertise inform our process. We propose an intersectional scientific methodology to address the influence of embodied observation, embedded context and collective impact on scientific inquiry. Through #VanguardSTEM, we assert, without apology, the right of Black, Indigenous, women of color and non-binary people of color to self-advocate by fully representing ourselves and our STEM identities and interests, without assimilation.
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29
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Morris DW, MacGillivray E, Pither EN. Self-promotion and the need to be first in science. Facets (Ott) 2021. [DOI: 10.1139/facets-2021-0100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Scientists, like all humans, are subject to self-deceptive valuations of their importance and profile. Vainglorious practice is annoying but mostly harmless when restricted to an individual’s perception of self-worth. Language that can be associated with self-promotion and aggrandizement is destructive when incorporated into scientific writing. So too is any practice that oversells the novelty of research or fails to provide sufficient scholarship on the uniqueness of results. We evaluated whether such tendencies have been increasing over time by assessing the frequencies of articles claiming to be “the first”, and those that placed the requirement for scholarship on readers by using phrases such as “to the best of our knowledge”. Our survey of titles and abstracts of 176 journals in ecology and environmental biology revealed that the frequencies of both practices increased linearly over the past half century. We thus warn readers, journal editors, and granting agencies to use caution when assessing the claimed novelty of research contributions. A system-wide reform toward more cooperative science that values humility, and abhors hubris, might help to rectify the problem.
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Affiliation(s)
- Douglas W. Morris
- Department of Biology, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
| | - Erin MacGillivray
- Department of Biology, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
| | - Elyse N. Pither
- Department of Biology, Lakehead University, Thunder Bay, ON P7B 5E1, Canada
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30
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Abstract
Social media (SoMe) can be an effective professional tool for the gastroenterologist or trainee. SoMe can support a gastroenterologist's efforts to brand themselves, network, learn, educate, and advocate for patients. SoMe for professional use should be approached with specific aims in mind, in order to optimize impact and productivity.
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Affiliation(s)
- Patricia P Bloom
- Division of Gastroenterology and Hepatology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA.
| | - Rajitha D Venkatesh
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Nationwide Children's Hospital, Columbus, OH, USA
| | - Evan S Dellon
- Division of Gastroenterology, Center for Esophageal and Swallowing Disorders, University of North Carolina, Chapel Hill, NC, USA
| | - Joy W Chang
- Division of Gastroenterology and Hepatology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
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Mura C, Chalupa M, Newbury AM, Chalupa J, Bourne PE. Ten simple rules for starting research in your late teens. PLoS Comput Biol 2020; 16:e1008403. [PMID: 33211694 PMCID: PMC7676678 DOI: 10.1371/journal.pcbi.1008403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Cameron Mura
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America
- School of Data Science, University of Virginia, Charlottesville, Virginia, United States of America
- * E-mail: (CM); (PEB)
| | - Mike Chalupa
- City Neighbors Foundation, Baltimore, Maryland, United States of America
| | - Abigail M. Newbury
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America
| | - Jack Chalupa
- City Neighbors Foundation, Baltimore, Maryland, United States of America
| | - Philip E. Bourne
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America
- School of Data Science, University of Virginia, Charlottesville, Virginia, United States of America
- * E-mail: (CM); (PEB)
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32
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Ten simple rules for writing a paper about scientific software. PLoS Comput Biol 2020; 16:e1008390. [PMID: 33180774 PMCID: PMC7660560 DOI: 10.1371/journal.pcbi.1008390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Papers describing software are an important part of computational fields of scientific research. These “software papers” are unique in a number of ways, and they require special consideration to improve their impact on the scientific community and their efficacy at conveying important information. Here, we discuss 10 specific rules for writing software papers, covering some of the different scenarios and publication types that might be encountered, and important questions from which all computational researchers would benefit by asking along the way. Computational researchers have a responsibility to ensure that the software they write stands up to the same scientific scrutiny as traditional research studies. These 10 simple rules make doing so easier by enhancing usability, reproducibility, transparency, and other crucial characteristics that aren’t taught in most computer science or research methods curricula.
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Luc JG, Antonoff MB. A Cardiothoracic Surgeon’s Playbook for Social Media and Digital Scholarship. INNOVATIONS-TECHNOLOGY AND TECHNIQUES IN CARDIOTHORACIC AND VASCULAR SURGERY 2020; 15:416-422. [DOI: 10.1177/1556984520951656] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Jessica G.Y. Luc
- Division of Cardiovascular Surgery, Department of Surgery, University of British Columbia, Vancouver, BC, Canada
| | - Mara B. Antonoff
- Department of Thoracic and Cardiovascular Surgery, University of Texas MD Anderson Cancer Center, Houston, TX, USA
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34
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Santuz A, Akay T. Fractal analysis of muscle activity patterns during locomotion: pitfalls and how to avoid them. J Neurophysiol 2020; 124:1083-1091. [PMID: 32816603 DOI: 10.1152/jn.00360.2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Time-dependent physiological data sets are often difficult to interpret objectively. Biosignals such as electromyogram, electroencephalogram, or single-neuron recordings can be interpreted using various linear and nonlinear methods. Each analysis technique aims at the explanation of different data features that might be visible or not to the naked eye. Here, we used linear decomposition based on machine learning to extract motor primitives (the time-dependent coefficients of muscle synergies) from the hindlimb electromyographic activity of mice during normal and mechanically perturbed locomotion. We set out to investigate the effects of calculation parameters and data quality on two nonlinear metrics derived from fractal analysis: the Higuchi's fractal dimension (HFD) and the Hurst exponent (H). Both HFD and H proved to be exceptionally sensitive to changes in motor primitives induced by external perturbations to locomotion. We discuss the potential pitfalls that might arise from fractal analysis by using examples based on surrogate data. We conclude giving some simple, data-driven suggestions to reduce the chance of misinterpretations when metrics such as HFD and H are applied to any biological signal containing elements of periodicity.NEW & NOTEWORTHY Despite the lack of consensus on how to perform fractal analysis of physiological time series, many studies rely on this technique. Here, we shed light on the potential pitfalls of using the Higuchi's fractal dimension and the Hurst exponent. We expose and suggest how to solve the drawbacks of such methods when applied to data from normal and perturbed locomotion by combining in vivo recordings and computational approaches.
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Affiliation(s)
- Alessandro Santuz
- Atlantic Mobility Action Project, Brain Repair Centre, Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Training and Movement Sciences, Humboldt-Universität zu Berlin, Berlin, Germany.,Berlin School of Movement Science, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Turgay Akay
- Atlantic Mobility Action Project, Brain Repair Centre, Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada
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35
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Bielczyk NZ, Ando A, Badhwar A, Caldinelli C, Gao M, Haugg A, Hernandez LM, Ito KL, Kessler D, Lurie D, Makary MM, Nikolaidis A, Veldsman M, Allen C, Bankston A, Bottenhorn KL, Braukmann R, Calhoun V, Cheplygina V, Boffino CC, Ercan E, Finc K, Foo H, Khatibi A, La C, Mehler DMA, Narayanan S, Poldrack RA, Raamana PR, Salo T, Godard-Sebillotte C, Uddin LQ, Valeriani D, Valk SL, Walton CC, Ward PGD, Yanes JA, Zhou X. Effective Self-Management for Early Career Researchers in the Natural and Life Sciences. Neuron 2020; 106:212-217. [PMID: 32325057 DOI: 10.1016/j.neuron.2020.03.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/17/2020] [Accepted: 03/18/2020] [Indexed: 01/17/2023]
Abstract
Early career researchers (ECRs) are faced with a range of competing pressures in academia, making self-management key to building a successful career. The Organization for Human Brain Mapping undertook a group effort to gather helpful advice for ECRs in self-management.
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Affiliation(s)
- Natalia Z Bielczyk
- Stichting Solaris Onderzoek en Ontwikkeling, Veldstraat 48, 6533 CD Nijmegen, the Netherlands; Welcome Solutions, Veldstraat 48, 6533 CD Nijmegen, the Netherlands.
| | - Ayaka Ando
- Department of Child and Adolescent Psychiatry, Centre for Psychosocial Medicine, University of Heidelberg, Blumenstrasse 8, 69115 Heidelberg, Germany
| | - AmanPreet Badhwar
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), 4545 Queen Mary Rd, Quebec H3W 1W6, Canada; Université de Montréal, 2900 Edouard Montpetit Blvd, Montreal, Quebec H3T 1J4, Canada
| | - Chiara Caldinelli
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
| | - Mengxia Gao
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, The Hong Kong Jockey Club Building for Interdisciplinary Research, 5 Sassoon Road, Hong Kong
| | - Amelie Haugg
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zurich, Lenggstrasse 31, 8032 Zurich, Switzerland; Zurich Neuroscience Center, University of Zurich and Swiss Federal Institute of Technology Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Leanna M Hernandez
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, 660 Charles E. Young Drive South, Los Angeles, CA 90095, USA
| | - Kaori L Ito
- Neural Plasticity and Neurorehabilitation Laboratory, University of Southern California, 2250 Alcazar Street, CSC 133, Los Angeles, CA 90089, USA
| | - Dan Kessler
- Departments of Statistics and Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Dan Lurie
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94702, USA
| | - Meena M Makary
- Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA; Department of Psychiatry, Yale University School of Medicine, 300 George St, New Haven, CT 06519, USA
| | - Aki Nikolaidis
- Center for the Developing Brain, Child Mind Institute, 101 E 56th St, New York, NY 10022, USA
| | - Michele Veldsman
- Department of Experimental Psychology, University of Oxford, Woodstock Rd, Oxford OX2 6GG, UK; The Florey Institute of Neuroscience and Mental Health, University of Melbourne, 30 Royal Parade, Parkville VIC 3052, Melbourne, Australia
| | - Christopher Allen
- Cardiff University Brain Research Imaging Centre, School of Psychology, Maindy Road, CUBRIC, Cardiff CF24 4HQ, UK
| | - Adriana Bankston
- Future of Research, 82 Wendell Avenue, STE 100, Pittsfield, MA 01201, USA
| | - Katherine L Bottenhorn
- Department of Psychology, Florida International University, 8th Street, DM 256 Miami, FL 33199, USA
| | | | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, 55 Park Pl, 18th Floor, Atlanta, GA 30303, USA
| | - Veronika Cheplygina
- Department of Biomedical Engineering, Eindhoven University of Technology, Postbus 513, 5600 MB Eindhoven, the Netherlands
| | - Catarina Costa Boffino
- Institute of Psychiatry & Department of Radiology, Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, Rua Dr. Ovídio Pires de Campos, 785 - Cerqueira César - CEP: 01060-970 São Paulo, Brazil
| | - Ece Ercan
- C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, C3Q, PO Box 9600, 2300 RC Leiden, the Netherlands
| | - Karolina Finc
- Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Toruń, Wileńska 4, 87-100 Toruń, Poland
| | - Heidi Foo
- Department of Psychiatry, University of New South Wales, Centre for Healthy Brain Ageing (CHeBA) School of Psychiatry Level 1, AGSM (G27) Gate 11, Botany Street UNSW NSW 2052, Sydney, Australia
| | - Ali Khatibi
- School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Christian La
- Department of Neurology and Neurological Sciences, Stanford University, 780 Welch Road, Palo Alto, CA 94304, USA
| | - David M A Mehler
- Department of Psychiatry and Psychotherapy, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A9, 48149 Münster, Germany
| | - Sridar Narayanan
- Montreal Neurological Institute, McGill University, 3801 University Street, Montreal H3A 2B4, Canada
| | - Russell A Poldrack
- Department of Psychology, Stanford University, Jordan Hall, Building 420, Stanford, CA 94305, USA
| | - Pradeep Reddy Raamana
- Rotman Research Institute, Baycrest Health Sciences, 3560 Bathurst St., Toronto, ON, Canada
| | - Taylor Salo
- Department of Psychology, Florida International University, 8th Street, DM 256 Miami, FL 33199, USA
| | - Claire Godard-Sebillotte
- Department of Family Medicine, McGill University, 5858, Chemin de la Côte-des-Neiges, Montreal, Quebec H3S 1Z1, Canada
| | - Lucina Q Uddin
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Davide Valeriani
- Department of Otolaryngology, Head & Neck Surgery, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles St, Boston, MA 02114, USA
| | - Sofie L Valk
- Brain and Behaviour (INM-7), Wilhelm-Johnen Strasse, 52425 Juelich, Germany; Otto Hahn group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Science, Juelich, Germany
| | - Courtney C Walton
- School of Psychology, University of Queensland, Sir Fred Schonell Dr, St Lucia QLD 4072, Brisbane, Australia
| | - Phillip G D Ward
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 770 Blackburn Rd, Monash University, 3800, Melbourne, Australia
| | - Julio A Yanes
- Department of Psychology, Auburn University, 226 Thach Hall, Auburn, AL 36849, USA
| | - Xinqi Zhou
- School of Life Science and Technology, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan, P.R. China
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