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The 8th IEEE International Conference on Data Science and
Advanced Analytics (DSAA'2021) Porto, Portugal, 06-09 October 2021
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Website: https://dsaa2021.dcc.fc.up.pt/
Submission website: https://cmt3.research.microsoft.com/DSAA2021
***Important Dates***
Research, Application, Special session, and Tutorials: submission deadline: 23 May 2021
Research, Application, and Special session tracks notification: 25 Jul. 2021
Research, Application, and Special session tracks camera ready due: 8 Aug. 2021
PhD Track submission deadline: 1 July 2021
PhD Track notification: 15 July 2021
***Highlights of DSAA¡¯2021***
¡ñ Confirmed keynotes by Prof Foster Provost, Prof Pedro Domingos, Prof Indr? ?liobait?, Prof Jos¨¦ Carlos Pr¨ªncipe, Dr Gemma Garriga, Dr Hillol Kargupta, Dr Jochen Papenbrock
¡ñ Journal track with Machine Learning
¡ñ A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics.
¡ñ Strong Journal, Research, and Applications tracks with reproducible and open results.
¡ñ Industry track session with lightning results highlighting research advances and industry¡¯s best practices.
¡ñ Special sessions on the foundations and emerging areas for data science.
¡ñ Tutorials on hot topics, and hands-on tutorials
¡ñ A special panel on the trends and controversies of data science and analytics.
¡ñ A PhD Track for students to receive constructive feedback from senior participants.
¡ñ Strong cross-domain interactions among researchers and industry and government policymakers and practitioners.
¡ñ Kaggle challenge competition
¡ñ Summer School on Data-Driven Predictive Maintenance for Industry 4.0.
¡ñ Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed.
¡ñ Technically supported by ACM SIGKDD, ASA and CCF.
***About DSAA¡¯2021***
The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA¡¯2021) will provide a premier forum that brings together researchers, industry and government practitioners, as well as developers and users in statistics, computing science, and intelligence science for the exchange of the latest theoretical developments in Data Science and Analytics and the best practice for a wide range of applications. The conference invites submission of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios.
DSAA¡¯2021 is a multi-track conference consisting of a Journal Track, Research Track, Application Track, and Industry Track. DSAA¡¯2021 will also feature a peer-reviewed Poster session whose purpose is to showcase recent and early-stage research developments on topics that are of interest to students and industry/government practitioners in data science and analytics.
***Research Track***
The Research Track solicits the latest, original, and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics. Topics of interest include but are not limited to:
¡ñ Data Science and Advanced Analytics Methods
¡ñ Mathematics, Statistics for data science and analytics
¡ñ Understanding data characteristics and complexities
¡ñ Deep Learning
¡ñ Data quality and misinformation
¡ñ Bayesian learning, optimization, inference, and regularization
¡ñ Infrastructures, and systems
¡ñ Evaluation, explanation, visualization, and presentation
¡ñ Fairness, accountability, and trustworthy Machine Learning
¡ñ Survey and review
The paper submission deadline for the Research Track is May 23, 2021 (no separate abstract deadline) and the acceptance notifications will be sent out by July 25, 2021.
***Applications Track***
The Application track solicits original, impactful, and actionable application results of Data Science and Advanced Analytics across various disciplines and domains, including business, government, healthcare and medical science, physical sciences, and social sciences. Submissions address a real problem on real-life data that is reproducible ideally through a public git repository, providing inspiring results to policymakers, end-users or practitioners or highlighting new practical challenges for researchers. Topics of interest include but are not limited to:
¡ñ Domain-driven data science and analytics practice
¡ñ Real-world applications and case studies
¡ñ Operationalizable infrastructures, platforms, and tools
¡ñ Deployment, management, and decision-making
¡ñ System and software demonstrations
¡ñ Social and economic impact modelling
¡ñ Ethics, social issues, privacy, trust, and bias
***Special Sessions***
¡ñ Data Science and Advanced Analytics for Smart & Connected Communities
http://www.cs.albany.edu/~cchelmis/dsaa_scc/2021/
¡ñ Data Science Approaches for Modeling, Analyzing and Mining Networks on Networks
https://lipn.univ-paris13.fr/~kanawati/DSAA21.html
¡ñ Data Science in Health
https://medal.ctb.upm.es/dsaa21_dshealth/index.html
¡ñ Practical applications of explainable artificial intelligence methods (PRAXAI)
https://www.geist.re/praxai:start2021
¡ñ Tensor Analytics for Emerging Applications
http://dsaa2021.tensors.eu.org/
¡ñ Data-Driven Predictive Maintenance for Industry 4.0
https://sites.google.com/g.uporto.pt/ddpdm2021/home
¡ñ EnGeoData: Environmental and Geo-spatial Data Analytics
https://simbig.org/engeodata/
***PhD Track***
The IEEE DSAA'2021 conference includes a PhD Track, serving as a forum for PhD students on all subjects relating to the intersection of the conference's main topics. The aim is to give PhD students the opportunity to present their ongoing work and interact with senior researchers, experienced in supervising and examining doctoral students and to receive constructive feedback and useful advice from senior participants in a respectful and interactive environment. This forum will also be an enormous opportunity for students to develop their professional network, hoping that it may positively impact their future careers.
***Industrial Track***
The IEEE DSAA¡¯2021 Industry track aims to highlight the challenges of putting together production-grade software solutions to different business verticals based on data science. Our goal is to promote the debate, the exchange of ideas and/or collaborations on how to add business value to society through data science.
***Submissions***
Submissions to the main conference including Research Track & Application Track are available from CMT: https://cmt3.research.microsoft.com/DSAA2021.
***Enquiries***
https://dsaa2021.dcc.fc.up.pt/
https://dsaa.co/
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