I apologize for any cross-posting of this announcement. ================================================================================== 1st International Workshop on High Performance Computing Methods and Interdisciplinary Applications for Fighting the COVID-19 Pandemic (HPC4COVID-19)) https://sites.google.com/view/hpc4covid-19/ held in conjunction with BIBM 2020 Seoul, S. Korea December 16-19, 2020 http://ieeebibm.org/BIBM2020/ ================================================================================== EXTENDED DEADLINE: NOVEMBER 15th, 2020 ================================================================================== * * * CALL FOR PAPERS * * * ================================================================================== The management of the COVID-19 pandemic presents several unprecedented challenges that regards a plurality of fields and that may benefit from advanced computing infrastructures and novel software pipelines, allowing the integration and exploitation of the increasing COVID-19 big data and enabling world-wide collaboration. COVID-19 poses many challenges to several research and application fields: investigating the molecular basis of the disease, tracing of virus mutations, vaccines and drugs development, diagnostic and therapeutic strategies, ICUs management, healthcare logistic, large scale testing of people (e.g. to find diseased people. that must be treated or quarantined and already healed people that may return to work), large scale tracing of people movements and contacts, to reduce the spread of the virus, infectious disease modelling, epidemiology, public health, effects of pandemic at emotional and behaviour level, impact of pandemic on remote working, etc. Each one of these challenges may benefit from advanced computing infrastructures and novel software pipelines, including bioinformatics for basic research, computer simulation for epidemiology and disease modelling, big data integration, e.g. for connecting disease data with environmental and climate data, mobile applications, wearable sensors to trace people or to collect health data, telemedicine infrastructures to collect health data and to remotely assist mild-symptoms COVID-19 patients, data science and data analytics solutions for the statistical and data mining analysis of data at several levels, including mood and sentiment analysis of long-time quarantined people as well as care givers and healthcare personnel that are having a uncommon working load and stress. The goal of this workshop is to bring together computer and life scientists as well as medical doctors and policy makers, to present high-performance computing methods and interdisciplinary applications fighting the COVID-19 pandemic and discussing emerging and future directions in the computer-based management of pandemics. Interest to the BIBM community Bioinformatics and Biomedicine are two key disciplines that are having a big role in fighting the COVID-19 pandemic from basic research to interdisciplinary applications. The main motivation for the workshop is to represent the increasing role of HPC as well as of interdisciplinary applications for facing the COVID-19 pandemic in the context of bioinformatics and biomedicine research. TOPICS OF INTEREST Topics of interest include, but are not limited to, the following: Computer-supported Public Health and COVID-19 Computer-supported Epidemiology and COVID-19 Computer-supported Virology and COVID-19 Electronic Health Records for COVID-19 Mathematical Modelling for COVID-19 Modelling and simulation of SARS-CoV-2 virus diffusion Computing infrastructures for COVID-19 data collection, integration, sharing, and visualization Distributed computing infrastructures for enabling COVID-19 collaborative research Distributed computing methods for tracing and tracking COVID-19 patients and their contacts Bioinformatics pipelines for SARS-CoV-2 virus data analysis (sequences, structures, interactions, infections mechanisms) Bioinformatics pipelines for COVID-19 drugs and vaccines design Data Science for COVID-19 clinical processes (diagnosis, treatment, prognosis, follow-up) Telemedicine for remote support of COVID-19 patients (monitoring, diagnosis, treatment, follow-up, tele-presence) Telemedicine Infrastructures and Sensors for collecting Public Health citizens data Data Science for Public Health decision making Computing Infrastructures for collecting quarantined citizen emotion data Sentiment Analysis software pipelines for mood and emotion analysis during COVID-19 pandemic Data Science for relating COVID-19 data with environmental, pollution and climate data Network-based analysis for epidemics PROGRAM The workshop will take place on December 16-19, 2020 (To Be Announced). The program is not available yet. PAPER SUBMISSION, REGISTRATION AND PUBLICATION Please submit a full-length paper (up to 8 page IEEE 2-column format) through the BIBM-2019 Workshops submission system: https://wi-lab.com/cyberchair/2020/bibm20/scripts/ws_submit.php You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html Electronic submissions (in PDF or Postscript format) are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance. IMPORTANT DATES Nov. 15, 2020: Due date for full workshop papers submission Nov. 5, 2020: Notification of paper acceptance to authors Nov. 26, 2020: Camera-ready of accepted papers Dec. 16-19, 2020: Workshops JOURNAL SPECIAL ISSUE After of the workshop, we plan to invite the best papers of the workshop for a special issue of an international journal. WORKSHOP ORGANIZERS - Mario Cannataro, University Magna Graecia of Catanzaro, Italy - Giuseppe Agapito, University Magna Gr¾cia of Catanzaro, Italy - Mauro Castelli, NOVA IMS, Universidade Nova de Lisboa, Portugal - Riccardo Dondi, University of Bergamo, Italy - Rodrigo Weber dos Santos, Federal University of Juiz de Fora, Brazil - Italo Francesco Zoppis, University of Milano-Bicocca, Italy PROGRAM COMMITTEE (TO BE CONFIRMED) 1. Giuseppe, Agapito, University of Catanzaro, Italy 2. Stefano, Beretta, San Raffaele Telethon Institute for Gene Therapy (TIGET), Italy 3. Mario, Cannataro, University of Catanzaro, Italy 4. Barbara, Calabrese, University of Catanzaro, Italy 5. Mauro, Castelli, Universidade Nova de Lisboa, Portugal 6. Attila, Csikasz-Nagy, KingÕs College London/P‡zm‡ny PŽter Catholic University, United Kingdom 7. Bhaskar, DasGupta, University of Illinois at Chicago, United States 8. Riccardo, Dondi, University of Bergamo, Italy 9. Ivo, Goncalves, University of Coimbra, Portugal 10. Pawel, Gorecki, University of Warsaw, Poland 11. Pietro Hiram, Guzzi, University of Catanzaro, Italy 12. Marcelo, Lobosco, Federal University of Juiz de Fora, Brazil 13. Wagner, Meira Jr., Universidade Federal de Minas Gerais, Brazil 14. Ivan, Merelli, Institute for Biomedical Technologies-National Research Council, Italy 15. Yuri, Pirola, University of Milano-Bicocca, Italy 16. Ela, Pustulka-Hunt, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland 17. Marinella, Sciortino, University of Palermo, Italy 18. Martin, Swain, Aberystwyth University, Wales 19. Leonardo, Trujillo, Instituto Tecnol—gico de Tijuana, United States 20. Paolo, Trunfio, University of Calabria, Italy 21. Pierangelo, Veltri, University of Catanzaro, Italy 22. Rodrigo, Weber dos Santos, Federal University of Juiz de Fora, Brazil 23. Italo, Zoppis, University Milano-Bicocca, Italy 24. Chiara, Zucco, University of Catanzaro, Italy