|Call for||Submission Deadline||Notification of Acceptance|
|Papers||April 30||May 29|
|Workshops||April 7||April 14|
|Tutorials||April 30||May 7|
|Highlights||May 10||June 14|
|Posters||May 14||May 27|
|Late-break Posters||May 20||June 15|
The 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) is the flagship conference of the ACM SIGBio. ACM-BCB 2021 is the conference's twelfth year, building upon the success of the first eleven meetings in Boston, Niagara Falls, Chicago, Orlando, Washington DC, Newport Beach, Atlanta, Seattle, Washington DC, Niagara Falls, and online (due to COVID-19). Due to COVID-19, the ACM-BCB 2021 conference will be held online, August 1-4, 2021.
The ACM-BCB is a premier dissemination forum for interdisciplinary research linking computer science, mathematics, statistics, biology, bioinformatics, biomedical informatics, and health informatics. The past few decades have seen tremendous growth in the scale and complexity of biological and medical data including recent mainstream recognition of big data challenges. This conference serves to showcase leading-edge research on new technologies and techniques around gathering, processing, analyzing, and modeling of data and information for a variety of scientific, clinical, and healthcare applications, from bench to bedside.
You are cordially invited to participate in the ACM-BCB 2021 Conference by responding to one or more of the following:
(All submissions close 11:59pm Anywhere On Earth [AOE])
Paper submissions due: April 30
Notifications sent to authors: May 29, 2021
Camera-ready papers due: June 15, 2021
Submission deadline: May 10, 2021
Acceptance notification: June 14, 2021
Workshop proposal deadline: April 7, 2021 (extended from March 31, 2021)
Notification of acceptance: April 14, 2021
Workshops will be held on August 1, 2021
Submission deadline (extended): April 30, 2021
Acceptance notification: May 7, 2021
|Proceedings abstract submission deadline:||May 14, 2021|
|Late-break poster abstracts submission open:||May 20, 2021|
|Posters Acceptance notification:||May 27, 2021|
|Camera ready proceedings abstract submission:||June 3, 2021|
|Late-break poster abstracts submission deadline:||June 10, 2021|
|Late-break poster acceptance notification:||June 15, 2021|
|Deadline for uploading electronic poster and video recording:||June 18, 2021|
Jason Moore, Penn Institute for Biomedical Informatics
Jason Moore is the Edward Rose Professor of Informatics and Director of the Penn Institute for Biomedical Informatics. He also serves as Senior Associate Dean for Informatics and Chief of the Division of Informatics in the Department of Biostatistics, Epidemiology, and Informatics. He leads an active NIH-funded research program focused on the development of artificial intelligence and machine learning algorithms for the analysis of complex biomedical data. Recent work has focused on automated machine learning. He is an elected fellow of the American Association for the Advancement of Science (AAAS), an elected fellow of the American College of Medical Informatics (ACMI), and an elected fellow of the American Statistical Association (ASA). He serves as Editor-in-Chief of the journal BioData Mining.
Mona Singh, Princeton University
Mona Singh obtained her AB and SM degrees at Harvard University, and her PhD at MIT, all three in Computer Science. She did postdoctoral work at the Whitehead Institute for Biomedical Research. She has been on the faculty at Princeton since 1999, and currently she is Professor of Computer Science in the computer science department and the Lewis-Sigler Institute for Integrative Genomics. She received the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2001, and is a Fellow of the International Society for Computational Biology and a Fellow for the Association for Computing Machinery. She is Editor-In-Chief of the Journal of Computational Biology. She has been program committee chair for several major computational biology conferences, including ISMB (2010), WABI (2010), ACM-BCB (2012), and RECOMB (2016), and has been Chair of the NIH Modeling and Analysis of Biological Systems Study Section (2012-2014).
Aidong Zhang, University of Virginia
Dr. Aidong Zhang is a William Wulf Faculty Fellow and Professor at University of Virginia. Prior to UVA, she is a SUNY Distinguished Professor and department chair (2009-2015) at the State University of New York (SUNY) at Buffalo. Her research interests include machine learning, data mining/data science, bioinformatics, and health informatics. She has authored over 350 research publications in these areas. She is a fellow of ACM, AIMBE, and IEEE.