Queer voices in computational biology: the first ISCB LGBTQI+ Symposium.

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Bioinformatics advances Pub Date : 2025-02-06 eCollection Date: 2025-01-01 DOI:10.1093/bioadv/vbae204
R Gonzalo Parra, Mark N Wass, Seth Munholland, Mallory L Wiper, Diane Kovats, Lorena Pantano, Roland L Dunbrack
{"title":"Queer voices in computational biology: the first ISCB LGBTQI+ Symposium.","authors":"R Gonzalo Parra, Mark N Wass, Seth Munholland, Mallory L Wiper, Diane Kovats, Lorena Pantano, Roland L Dunbrack","doi":"10.1093/bioadv/vbae204","DOIUrl":null,"url":null,"abstract":"<p><p>The first ISCB LGBTQI+ Symposium, held during Pride Month in 2024, marked a significant milestone for the International Society for Computational Biology (ISCB) community to promote diversity. This event aimed to provide a safe and supportive space for LGBTQI+ members of the society to share their experiences, address unique challenges in Bioinformatics and Computational Biology, and foster strategies for creating an equitable environment within ISCB. Through keynote presentations, short talks, and a roundtable discussion, participants explored topics such as minority stress, visibility, and the impact of role models. The symposium was rooted in a recognition of the historical and ongoing marginalization faced by LGBTQI+ individuals and sought to challenge systemic barriers while emphasizing the importance of community and representation. This article details the journey behind organizing the symposium, including overcoming the challenges of ensuring inclusivity and privacy, and highlights the profound impact of role models and collective action in advancing LGBTQI+ equity in science.</p>","PeriodicalId":72368,"journal":{"name":"Bioinformatics advances","volume":"5 1","pages":"vbae204"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11804971/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioadv/vbae204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The first ISCB LGBTQI+ Symposium, held during Pride Month in 2024, marked a significant milestone for the International Society for Computational Biology (ISCB) community to promote diversity. This event aimed to provide a safe and supportive space for LGBTQI+ members of the society to share their experiences, address unique challenges in Bioinformatics and Computational Biology, and foster strategies for creating an equitable environment within ISCB. Through keynote presentations, short talks, and a roundtable discussion, participants explored topics such as minority stress, visibility, and the impact of role models. The symposium was rooted in a recognition of the historical and ongoing marginalization faced by LGBTQI+ individuals and sought to challenge systemic barriers while emphasizing the importance of community and representation. This article details the journey behind organizing the symposium, including overcoming the challenges of ensuring inclusivity and privacy, and highlights the profound impact of role models and collective action in advancing LGBTQI+ equity in science.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
计算生物学中的酷儿声音:第一届ISCB LGBTQI+研讨会。
首届ISCB LGBTQI+研讨会于2024年骄傲月期间举行,标志着国际计算生物学学会(ISCB)促进多样性的一个重要里程碑。本次活动旨在为LGBTQI+成员提供一个安全的支持空间,分享他们的经验,解决生物信息学和计算生物学方面的独特挑战,并促进在ISCB内创造公平环境的策略。通过主题演讲、简短谈话和圆桌讨论,参与者探讨了诸如少数族裔压力、知名度和榜样影响等主题。本次研讨会基于对LGBTQI+个体所面临的历史和持续边缘化的认识,并在强调社区和代表性的重要性的同时,寻求挑战系统性障碍。本文详细介绍了组织研讨会的过程,包括克服确保包容性和隐私的挑战,并强调了榜样和集体行动在推进LGBTQI+科学公平方面的深远影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.60
自引率
0.00%
发文量
0
期刊最新文献
scGeno: a Hidden Markov Model approach to denoise chromosome-scale genotypes from single-cell data. MicroLive: an image processing toolkit for quantifying live-cell single-molecule microscopy. m6AnetAnalyzer: an R toolkit for post-processing of m6A sites detected by m6Anet. Sparse dimensionality reduction for analyzing single-cell-resolved interactions. Bioinformatic analysis of metastasis-associated metabolic landscape reveals an oncogenic role for the transsulfuration pathway.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1