[DBWorld] [Deadline Approaching] DaSH2021: 3rd Data Science with Human in the Loop Workshop (with KDD'21)

	     DaSH 2021: 3rd Data Science with Human in the Loop Workshop 
			https://www.dashworkshops.org/kdd2021/cfp
			   co-organized with KDD 2021
				August 2021

*** NOTE THE EXTENDED DEADLINES *** 

Submission deadline: 1 June 2021     (was 20 May 2021)
Notification: 22 June 2021      (was 10 June 2021)
Camera ready: 30 June 2021      (was 20 June 2021)
Workshop Dates: 14-18 August 2021

All deadlines are 11.59pm UTC -12h


The third Workshop on Data Science with Human-in-the-loop (DaSH) will be co-organized with the KDD 2021 conference. The goal of the 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.

Submissions: 

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: 

- Supervised learning with human-in-the-loop
- Human intervention in unsupervised learning
- Human intervention and unintended model bias and overfitting
- Human-assisted knowledge extraction
- Expert-guided knowledge injection in modeling
- Human and computer cooperation in data cleaning, preparation, representation
- Optimizing human effort in data annotation and labeling
- Human feedback in error analysis and model improvement
- Enabling non-machine learning experts to build data science models
- Formal and higher abstractions for human-machine interaction in data science
- User interfaces for data cleaning, processing, annotation, and labeling
- User interfaces that facilitate building data science models
- Human-in-the-loop issues in mining of text data, image and video data, social media data, graph data
- 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: 

- Original, unpublished research papers that are not being considered for publication in any other forum.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. 
- 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=dash2021


Workshop co-chairs:

Eduard Dragut, Temple University
Yunyao Li, IBM Research - Almaden
Lucian Popa, IBM Research - Almaden
Slobodan Vucetic, Temple University
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