DaSH2020: Data Science with Human in the Loop Workshop (with KDD 2020) San Diego, CA, United States, August 21-24, 2020 |
Conference website | https://sites.google.com/view/dash2020 |
Submission link | https://easychair.org/conferences/?conf=dash2020 |
Submission deadline | May 20, 2020 |
The first Workshop on Data Science with Human-in-the-loop (DaSH) will be co-located with KDD 2020 conference. The goal of this workshop is to stimulate research on human-computer interaction challenges in data science. We aim to bring together interdisciplinary researchers from academia, research labs and practice to share, exchange, learn, and develop preliminary results, new concepts, principles, and methodologies for understanding and improving human-computer cooperation along data science pipelines.
Submission Guidelines
We invite submissions describing innovations and implementations that focus on understanding how to optimize human-computer cooperation and minimize human effort along the data science pipeline in a wide range of data science tasks and real-world applications.
Topics can include but are not limited to the following:
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Supervised learning with human-in-the-loop
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Human intervention in unsupervised learning
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Human intervention and unintended model bias and overfitting
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Human-assisted knowledge extraction
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Expert-guided knowledge injection in modeling
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Human and computer cooperation in data cleaning, preparation, representation
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Optimizing human effort in data annotation and labeling
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Human feedback in error analysis and model improvement
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Enabling non-machine learning experts to build data science models
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Formal and higher abstractions for human-machine interaction in data science
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User interfaces for data cleaning, processing, annotation, and labeling
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User interfaces that facilitate building data science models
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Human-in-the-loop issues in mining of text data, image and video data, social media data, graph data
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Human-in-the-loop issues in building data science models in scientific, business, and engineering domains
Authors are invited to submit either of the following:
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Original, unpublished research papers that are not being considered for publication in any other forum. Research papers are limited to six pages in length, excluding references.
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Short papers of late-breaking work and work in progress. Abstracts are limited to two pages.
Authors of both types of papers will need to present these papers at DaSH.
Submissions to the workshop must be in PDF and should follow the KDD paper formatting. All submissions should be anonymized to facilitate double blind reviewing. To submit a paper, please access the submission link: https://easychair.org/conferences/?conf=dash2020
Important Dates
Submission deadline ― 20 May 2020
Notification ― 15 June 2020
Camera ready ― 30 June 2020
Workshop ― 24 August 2020
All deadlines are 11.59pm UTC -12h
Presentation
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We are monitoring the COVID-19 situation and we will follow the KDD 2020 recommendations around the workshop's form of organization.
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Presentation format and schedule will be announced before the camera-ready deadline.
Organizing committee
Eduard Dragut, Temple University
Yunyao Li, IBM Research - Almaden
Lucian Popa, IBM Research - Almaden
Slobodan Vucetic, Temple University
Contact
All questions about submissions should be emailed to Lucian Popa (lpopa@us.ibm.com)