We invite full papers (8 pages), short papers (4 pages), and concept papers (2 pages) on the following topics (all page limits include references). Authors can choose to include their papers in the ACM CPS Week proceedings or opt out. We welcome prior work published in conferences or journals.
- Data science and open-source data sets for smart cities
- Frameworks and machine learning models for solving the challenge of integrating heterogeneous and cross-domain data in smart cities.
- Approaches for engaging communities, citizen science, and crowdsourcing, and subsequently using such uncertain and noisy information to make inferences.
- Predictive analytics for smart cities; using data to inform policies.
- Open source datasets, descriptions, and benchmark results for the research community.
- Decision Making for smart cities, design of intelligent systems in smart cities, and challenges in deployment
- Approaches to model complex decision-making tasks in smart cities and how they tackle uncertainty.
- Principled heuristics to design scalable decision-making in city-scale CPS.
- Challenges faced and lessons learned in deploying intelligent systems in smart cities.
- Ethical considerations in smart city applications.
- Validation and verification of intelligent systems deployed in smart cities.
- Equity and fairness in smart cities
- Evaluating and creating metrics for evaluating equity and fairness.
- Empirical results on fairness of existing algorithmic approaches deployed in cities.
- Modeling fairness and equity in predictive methodologies and decision making pipelines.
- Security and privacy in AI for cities
- Trustworthy analytics and privacy control.
- Anomaly detection in smart and connected communities.
- Security vs privacy tradeoffs in smart and connected communities.
- Interactions between privacy, security, resilience, reliability, and safety from both theoretical and operational perspectives.
HotCRP link for submission: Link
We invite papers in the following categories:
- Full papers (8 pages including references): describing novel theoretical or algorithmic contributions in the topics mentioned above, or their deployment in practice. Both work in progress and recently published work will be considered. Submissions describing recently published work should clearly indicate the earlier venue and provide a link to the published paper.
- Short papers (4 pages including references): describing novel theoretical or algorithmic contributions in the topics mentioned above, or their deployment in practice. Both work in progress and recently published work will be considered. Such papers are similar to full papers but is particularly relevant for lessons learned through deployment or work in practice.
- Position/Concept papers (2 pages including references): describing open problems or neglected perspectives on the field, proposing ideas for the integration of intelligent systems and data-driven methods in smart cities, or summarizing the focus areas of a group working on intelligent systems for cities. All submissions must be in English and follow the ACM primary article template. Submissions are single-blind.