IEEE/ACM/ASA DSAA'2021

Porto, Portugal, 06-09 October 2021

Website: https://dsaa2021.dcc.fc.up.pt/

Submission website: https://cmt3.research.microsoft.com/DSAA2021

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Important Dates
Research, Application and Tutorials: submission deadline: 23 May 2021  Research and Application notification: 25 Jul. 2021 
Research and Application camera ready due: 8 Aug. 2021

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Highlights of DSAA'2021
*A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics.
*Strong Journal, Research, and Applications tracks with reproducible and open results.
*Industry track session with lightning results highlighting research advances and industry’s best practices.
*Special sessions on the foundations and emerging areas for data science.
*Tutorials on hot topics, and hands-on tutorials
*Special panel on the trends and controversies of data science and analytics.
*Strong cross-domain interactions among researchers and industry and government policymakers and practitioners.
*Industry and research exhibits.
*Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed.
*Technically supported by ACM SIGKDD and ASA.

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Precaution of COVID-19
Due to ongoing uncertainty about future travel due to COVID-19, DSAA'2021 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions.

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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.

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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:
*Data Science and Advanced Analytics Methods
*Mathematics, Statistics for data science and analytics
*Understanding data characteristics and complexities
*Deep Learning
*Data quality and misinformation
*Bayesian learning, optimization, inference, and regularization
*Infrastructures, and systems
*Evaluation, explanation, visualization, and presentation
*Fairness, accountability, and trustworthy Machine Learning
*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.

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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:
*Domain-driven data science and analytics practice
*Real-world applications and case studies
*Operationalizable infrastructures, platforms, and tools
*Deployment, management, and decision-making
*System and software demonstrations
*Social and economic impact modelling
*Ethics, social issues, privacy, trust, and bias

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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.

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Submission
Submissions to the main conference including Research Track & Application Track are available from CMT: https://cmt3.research.microsoft.com/DSAA2021.

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