UAI 16th Bayesian Modelling Applications Workshop (@UAI2022)

Continuing in a successful tradition, the 16th Bayesian Modeling Applications Workshop provides a forum for exchange among researchers, applications practitioners and tool developers. Submissions (papers or extended abstracts) are solicited of real-world applications of Bayesian models and computational methods. The aim of the workshop is to foster discussion on the challenges of building applications, such as: integrating Bayesian models and tools into larger hybrid applications; validating models; interacting with, and explaining outputs and decisions to, users, decision makers and stakeholders; constructing and updating models through combined knowledge elicitation and learning; and deploying and managing cloud and app-based Bayesian applications. In particular, the workshop solicits abstracts/papers describing Bayesian applications that involve topics such as (but not limited to):

• Learning and inference with graphical models;
  
• Causal discovery and causal reasoning;
  
• Geospatial and temporal reasoning;
  
• Risk analysis and decision making under uncertainty;
  
• Bayesian Deep Learning and Deep Bayesian Learning;
  
• Tractable probabilistic models;
  
• Explainable Artificial Intelligence (XAI);
  
• Data processing, transformation, fusion, visualization, of many different types of data, and of Big Data; and
  
• Combining machine learning and elicitation of expert knowledge.
  

The workshop is not restricted to a particular application area or discipline. Instead, the workshop encourages interdisciplinary collaboration and cross fertilization. Final workshop talks and lightning talks with accompanying posters/demos will be selected with the goal of fostering discussion of critical issues within the community of practice.

The workshop will have all papers peer reviewed by at least two independent referees and will accept two types of submissions:

• Extended Abstracts: 1-2 pages (including reference list), using the online submission process.

  or
  

• Full papers: limited to 8 pages plus up to 2 additional pages for Author Contributions/Acknowledgements/References, using the online submission process.

  Extended Abstracts and Full Papers must be submitted electronically in PDF format as per the Author Instructions, via the EasyChair online submission page.

We encourage submission of abstracts for applications papers that have been accepted at the main UAI 2022 conference, if authors are interested in attending this workshop and having additional conversations regarding their application.

The format of the workshop will be a combination of full talks and lightning talks, with poster/demo sessions to accompany lightning talks, grouped to facilitate discussion. The workshop will be presented in hybrid format, allowing interaction between in-person and online attendees.

As in past years, proceedings (full papers, and abstracts) will be published online (as a CEUR Workshop Proceedings Volume).

• 30 May 2022: Abstract submission (required for both types of submission)
• 3 June 2022: Complete submission of PDFs of Full paper or Extended Abstract. 23:59 GMT/UTC (midnight on Friday night, Coordinated Universal Time).
• 1 July 2022: Author notification
• 22 July 2022: Camera ready copy due
• 5 August 2022: Workshop (following the UAI2022 main conference, Aug 1-4)

• V Anne Smith (University of St Andrews, UK
• Arjen Hommersom (Open Universiteit, The Netherlands)
• Charles Twardy (Jacobs, USA)

  The contact email address for the chairs is: bmaw2022@gmail.com

• Russell Almond (Florida State University, USA)
• John Mark Agosta (Microsoft, USA)
• Dennis Buede (ITA International, USA)
• María Julia Flores Gallego (University of Castilla-La Mancha, Spain)
• Kathryn B. Laskey (George Mason University, USA)
• Ann Nicholson (Monash University, Australia)
• Thomas Dyhre Nielsen (Aalborg University, Denmark)
• L. Enrique Sucar (INAOEP, Mexico)
• Thomas Walsh (Sony AI, USA)