Conferences are spaces to meet and network within and across academic and technical fields, learn about new advances, and share our work. They can help define career paths and create long-lasting collaborations and opportunities. However, these opportunities are not equal for all. This article introduces 10 simple rules to host an inclusive conference based on the authors' recent experience organizing the 2021 edition of the useR! statistical computing conference, which attracted a broad range of participants from academia, industry, government, and the nonprofit sector. Coming from different backgrounds, career stages, and even continents, we embraced the challenge of organizing a high-quality virtual conference in the context of the Coronavirus Disease 2019 (COVID-19) pandemic and making it a kind, inclusive, and accessible experience for as many people as possible. The rules result from our lessons learned before, during, and after the organization of the conference. They have been written mainly for potential organizers and selection committees of conferences and contain multiple practical tips to help a variety of events become more accessible and inclusive. We see this as a starting point for conversations and efforts towards building more inclusive conferences across the world. * Translated versions of the English abstract and the list of rules are available in 10 languages in S1 Text: Arabic, French, German, Italian, Japanese, Korean, Portuguese, Spanish, Tamil, and Thai.
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http://dx.doi.org/10.1371/journal.pcbi.1010164 | DOI Listing |
PLoS Comput Biol
January 2025
North Carolina State University, Raleigh, North Carolina, United States of America.
Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon standards for sharing models.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Metabolism, Digestion, and Reproduction, Imperial College London, London, UK.
Infertility affects one-in-six couples, often necessitating in vitro fertilization treatment (IVF). IVF generates complex data, which can challenge the utilization of the full richness of data during decision-making, leading to reliance on simple 'rules-of-thumb'. Machine learning techniques are well-suited to analyzing complex data to provide data-driven recommendations to improve decision-making.
View Article and Find Full Text PDFCell Syst
December 2024
Division of Infection and Immunity, University College London, London WC1E 6BT, UK; Institute for the Physics of Living Systems, University College London, London WC1E 6BT, UK. Electronic address:
Computational prediction of the interaction of T cell receptors (TCRs) and their ligands is a grand challenge in immunology. Despite advances in high-throughput assays, specificity-labeled TCR data remain sparse. In other domains, the pre-training of language models on unlabeled data has been successfully used to address data bottlenecks.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Thayer School of Engineering, Dartmouth College, Hanover, NH 03755.
Many climate policies adopt improving equity as a key objective. A key challenge is that policies often conceive of equity in terms of individuals but introduce strategies that focus on spatially coarse administrative areas. For example, the Justice40 Initiative in the United States requires 518 diverse federal programs to prioritize funds for "disadvantaged" census tracts.
View Article and Find Full Text PDFFront Psychol
December 2024
Department of Physical Activity and Sport Science, Faculty of Education and Sport, University of Deusto, Gipuzkoa, Spain.
Introduction: Considering the theory of self-determination and its relationship with human motivation and the play-based approach (PBA), a training program is implemented in young middle and long-distance running athletes with play activities (simple tasks with rules in a ludic mood). The objectives were (1) to analyze the effects of a PBA on the autonomy support interpersonal teaching style (ASITS) perceived by athletes, the psychological variables of satisfaction of basic psychological needs, motivation, enjoyment and intention to continue practicing athletics and depending on sex, and (2) know the athletes' perception of this methodology after the intervention.
Method: Quasi- experimental design with a sample of 50 athletes (27 women and 23 men) with 17.
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