Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Learned societies, as professional bodies for scientists, are an integral part of the scientific system. However, their membership fees have the potential to be prohibitive to the most vulnerable members of the scientific community. To shed light on how membership fees are structured, we conducted a survey of 182 international learned societies relevant to researchers in ecology and evolution. We found that 83% of these societies offered fee concessions to students, but only 26% to postdoctoral researchers. An average regular membership fee-US$67.8, student fee-US$27.4 (42.7% of the regular fee) and postdoctoral fee-US$42.7 (52.9%). Other types of individual concessions, such as for emeritus, family or unemployed, were rare (2-20%). Of the surveyed societies, 43% had discounts for members from developing countries (Global South). Such discounts were more common among societies located in high-income countries. Societies with a publicly visible commitment to equity, diversity and inclusion were more likely to offer different types of concessions. Currently, fees may prevent researchers from vulnerable and underprivileged groups from accessing multiple professional benefits offered by learned societies in ecology and evolution. This includes postdoctoral researchers, who should receive more support. We recommend tangible actions towards making learned societies more affordable and accessible.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11793960PMC
http://dx.doi.org/10.1098/rspb.2024.1430DOI Listing

Publication Analysis

Top Keywords

learned societies
16
membership fees
12
ecology evolution
12
societies
9
societies ecology
8
postdoctoral researchers
8
priced belonging?
4
belonging? insufficient
4
concessions
4
insufficient concessions
4

Similar Publications

There is an urgent call to transform nursing education in response to evolving changes in healthcare. It is critical that nursing graduates are prepared to thrive and deliver care in complex environments to increasingly diverse populations. This article describes a nursing school's approach to achieve these goals and presents details of work completed during the early phases of curriculum revision to integrate the American Association of Colleges of Nursing's (AACN's) 2021 publication, The Essentials: Core Competencies for Professional Nursing Education, into the baccalaureate programs.

View Article and Find Full Text PDF

The prevalence of sarcopenia and sarcopenic obesity in a German geriatric day clinic.

J Frailty Aging

September 2025

Department of Geriatric Medicine, Klinikum Fürth, Fürth, Germany; Institute for Biomedicine of Ageing, Friedrich-Alexander-University, Erlangen-Nürnberg, Germany.

Purpose: Sarcopenia and sarcopenic obesity are defined by the loss of muscle strength and mass. Both diseases pose a growing global challenge. Their prevalences vary between studied populations.

View Article and Find Full Text PDF

Artificial Intelligence Automation of Echocardiographic Measurements.

J Am Coll Cardiol

August 2025

Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Cardiology, Kaiser Permanente Santa Clara Medical Center, Santa Clara, California, USA. Electronic address:

Background: Accurate measurement of echocardiographic parameters is crucial for the diagnosis of cardiovascular disease and tracking of change over time; however, manual assessment requires time-consuming effort and can be imprecise. Artificial intelligence has the potential to reduce clinician burden by automating the time-intensive task of comprehensive measurement of echocardiographic parameters.

Objectives: The purpose of this study was to develop and validate open-sourced deep learning semantic segmentation models for the automated measurement of 18 anatomic and Doppler measurements in echocardiography.

View Article and Find Full Text PDF

Advances, challenges, and future directions in trauma-related Findable, Accessible, Interoperable, Reusable (FAIR) data efforts.

J Trauma Stress

September 2025

Center of Alcohol and Substance Use Studies, Graduate School of Applied and Professional Psychology, Rutgers University-New Brunswick, Piscataway, New Jersey, USA.

Findable, Accessible, Interoperable, and Reusable (FAIR) data advances are becoming more common and more important across research fields given the large amount of research data in need of synthesis and application. Many novel methods improve the efficiency and accuracy of data reuse, combination, and synthesis, which is necessary given that there are over 500 published randomized controlled trials of posttraumatic stress disorder treatments in adults; however, these methods are still relatively new to the field of traumatic stress research. We provide a brief overview of relevant FAIR data efforts from other fields and within trauma health care and research; share examples of trauma-related FAIR data efforts to demonstrate recent advances and challenges; and suggest potential next steps to continue making trauma data more FAIR.

View Article and Find Full Text PDF