The conference, scheduled for July 6th–8th, 2027, in Shijiazhuang, China, will focus on the latest research in the field of “Social Computing and Resilient AI”. The conference will cover “Foundational Theories and Methods of Social Computing, Theories and Key Technologies of Resilient AI, Resilient Governance Driven by Social Computing, and Frontiers at the Intersection of Social Computing and Resilient AI”. It aims to help break through core bottlenecks in the artificial intelligence field, promote interdisciplinary integration and collaborative innovation across industry, academia, research, and application, and provide a high-level platform for researchers and scholars to showcase and exchange their research findings. Through keynote speeches, oral presentations, and poster displays, the conference will highlight the latest technological advancements and achievements, fostering technical exchanges and intellectual collisions. We sincerely invite experts, scholars, and professionals from universities, research institutions, and the business community, as well as other relevant individuals, to actively participate and engage in the exchange.
All papers related to the themes of Social Computing and Resilient AI etc. can be submitted, including but not limited to the following topics:
Computational Modeling of Social Systems
Social Network Structures and Dynamics
Large-Scale Social Behavior Sensing
Social Public Opinion Propagation and Evolution
Social Data Governance and Privacy Protection
Fairness and Explainability in Social Computing
Definitions and Evaluation Metrics for Resilient AI
Adversarial Robustness and Secure, Trustworthy AI
Data Drift Adaptation and Self-Healing
AI Reliability in Extreme Scenarios
Resilient Learning with Low-Resource / Missing Data
Resilience Enhancement Mechanisms for Large Models
Intelligent Computing and Decision-Making for Resilient Cities
Public Safety Risk Early Warning and Simulation
Intelligent Collaboration and Scheduling in Emergency Management
Social Response to Major Emergencies
Vulnerability Assessment of Social Systems
Cross-Domain Resilient Resource Allocation
Human-AI Collaboration for Enhancing Social Resilience
Resilient Intelligence for Digital Infrastructure
Ethics and Social Impact of Resilient AI
Comparative Studies on International Social Resilience
Standards and Policy Frameworks for Resilient AI
Important Dates
Last date for paper submission: March 29th, 2027
Last date for paper acceptance: May 28th, 2027
Final Paper Submission Deadline: June 28th, 2027
Publication
All accepted and registered papers will be published in International Conference Proceedings, which will be sent to EI Compendex and Scopus for indexing.
Submission Guidelines
All submissions should be in English and range from 4 to 8 pages, including figures and references, and should be formatted according to the template, which will be sent to you upon acceptance.
Please submit your paper via email to xueshu@eept.org.cn .
Authors should complete their submissions before the designated deadlines. Late submissions will not be considered. The initial and final submissions must be in an editable format. Hardcopy is not accepted.
The latest information can be found on the conference website.
Review Instruction
CSCRAI 2027 follows the highest standards of publication ethics and takes all possible procedures against any publication misconduct. This Conference does not accept any type of plagiarism, which means that any author replicating a significant part of another's work without acknowledging him/her or passing another's work off as his/her own is not tolerated and not published.
All authors submitting their works to CSCRAI 2027 for publication as original works confirm that the submitted papers are their own contributions and have not been copied in whole or in part from other works.
Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of each accepted submission. The CSCRAI 2027 guarantees that the entire peer review and publication process is meticulous and objective. Furthermore, all works not in accordance with these standards will be removed from the publication if malpractice is revealed at any time even after the publication. Every case of suspected plagiarism or duplicate publishing will be reported.