ACM KDD Workshop Call for Papers: KiML Workshop on Healthcare, Crisis Response, and Finance

[Manas Gaur]

Call for Papers:  KiML 2020 - International Workshop on Knowledge-infused Mining and Learning (Advancing Decision-making in Health, Crisis Response, and Finance) at 26th ACM KDD 2020, San Diego, California, USA

Deadline: May 20th, 2020

Website: http://kiml2020.aiisc.ai

The workshop will bring together researchers and practitioners from both academia and industry who are interested in the creation and use of knowledge graphs in understanding online conversations on crisis response (e.g., COVID-19), public health (e.g., social network analysis for mental health insights), and finance (e.g., mining insights on the financial impact (recession, unemployment) of COVID-19 using twitter or organizational data).

We welcome submissions on the topics of novel analytic methods, tools, and datasets associated with a broader objective of knowledge-infused mining and learning. 

Topics motivating research and discussion in dealing with real-world challenges in healthcare, finance, or crisis response, include (but not limited to): 

Methods

1. Computational Behavior Analysis and Learning
2. Semantic Deep Learning
3. Knowledge-based Causal Inference
4. Multimodal Knowledge Graphs Representations and Learning
5. Ontology-based query answering and reasoning  
6. Trust-based Recommendation
7. Dynamic Knowledge Graphs
8. Explainable and Interpretable Data Science
9. Semantic Reinforcement and Transfer learning
10. Symbolic knowledge extraction and reasoning over Deep Learning
11. Biologically and Cognitively inspired neural models

Systems

1. Intelligent Virtual Assistants
2. Chatbots
3. Human-in-loop Computing
4. Data as a Service
5. AI as Service
6. Wisdom of Crowd

For any questions, please contact mg...@email.sc.edu

Co-organizers:

Manas Gaur, AI Institute, University of South Carolina. 

Alejandro (Alex) Jaimes, Dataminr Inc., USA.

Fatma Özcan, IBM Research, USA. 

Srinivasan Parthasarathy, Ohio State University, USA. 

Sameena Shah, JP Morgan, USA. 

Amit Sheth, AI Institute, University of South Carolina, USA. 

Biplav Srivastava, IBM Chief Analytics Office, USA.