[Infovis] 2nd CFP: ACM TiiS Special Issue on Interactive Visual Analytics for Making Explainable and Accountable Decisions -- Deadline: November 17 !!

[Turkay, Cagatay]

Dear colleagues,


Please find below the 2nd call for papers for a special issue of ACM Transactions on Interactive Intelligent Systems (TiiS) (https://tiis.acm.org<https://tiis.acm.org/>) on “Interactive Visual Analytics for Making Explainable and Accountable Decisions” as a follow-on from this year’s EuroVA & MLVis workshops at EuroVis 2019.


We look forward to your submissions and do not hesitate to contact us on vaxad_acm_tiis at googlegroups.com<mailto:vaxad_acm_tiis at googlegroups.com> with any questions.


And we should also remind you that less than two weeks left to the deadline!!


SI Guest Editors,

Cagatay Turkay, Tatiana von Landesberger, Remco Chang, Shixia Liu, Daniel Archambault


CALL FOR PAPERS

ACM Transactions on Interactive Intelligent Systems (TiiS)

Special Issue on Interactive Visual Analytics for Making Explainable and Accountable Decisions


Background

Due to recent advances in Artificial Intelligence, complex and advanced machine learning models have been developed and used increasingly in making data-driven decisions that have significant impact on science, business, and the wider society. Although effective, the complexity of these models can often make the results difficult to understand, explain, evaluate, and scrutinize. There is therefore a significant demand from governments, businesses, and the wider society for interpretable, explainable and accountable decision-making models and systems.



Interactive visual analytics offer great potential in this space by marrying human intelligence with machine power, through, including but not limited to, visual representations of data and interaction techniques, to aid humans in better generating, interpreting, evaluating, and deploying statistical and machine learning models. In this special issue, we will feature cutting-edge research where interactive visual analytics methods are applied together with complex computational methods for making explainable and accountable decisions informed by data.


Scope, Description, and More Information

This special issue invites submissions that feature original research on designing, developing and evaluating interactive visual analytics methods that empower their users to make explainable and accountable inferences and decisions based on massive amounts of data. A suitable submission must also demonstrate its relevance to TiiS, the premier journal featuring interactive intelligent systems with two distinct characteristics: intelligence and interactivity. In particular, a suitable submission must exhibit or discuss how the resulting approaches, techniques, or systems advance an interactive intelligent system. Interdisciplinary and applied research is especially encouraged.


Specific areas of interest include, but are not limited to:

  *   Role of interactive visualization in interpretable and explainable machine learning

  *   Human factors in making decisions with machine learning models

  *   Facilitating algorithmic transparency and accountability through visual analytics

  *   Interactive visualization for supporting non-experts in creating and interpreting complex analysis results

  *   Visual analytics for interactive, informed machine-learning model building

  *   Uncertainty-aware visual analytics for the consideration of inherent uncertainty in data and models

  *   Interactive visual analytics for addressing biases in the data and machine learning models


Schedule

  *   Full paper submission deadline: November 17th, 2019

  *   First author notification: Feb 14th, 2020

  *   Revised paper due: April 20th, 2020

  *   Final author notification: May 15th,  2020

  *   Expected publication: Summer 2020


Guest Editors

  *   Dr. Cagatay Turkay,University of Warwick

  *   Prof. Tatiana von Landesberger,Karlsruhe Institute of Technology

  *   Dr. Remco Chang,Tufts University

  *   Dr. Shixia Liu, Tsinghua University

  *   Dr. Daniel Archambault, Swansea University


Check out http://tiis.acm.org/authors.cfm for author information and submission details.
For further information, please contact vaxad_acm_tiis at googlegroups.com<mailto:vaxad_acm_tiis at googlegroups.com>

Online version of the CFP can be found on https://tiis.acm.org/special-issues.cfm