Crowdsourcing as a Future Collaborative Computing Paradigm -- Urban Mobility-Driven Crowdsensing: Recent Advances in Machine Learning Designs and Ubiquitous Applications -- Unknown User Recruitment in Mobile Crowdsourcing -- Quality-Aware Incentive Mechanism for Mobile Crowdsourcing -- Incentive mechanism design for mobile crowdsourcing without verification -- Stable Worker-Task Assignment in Mobile Crowdsensing Applications -- Spatio temporal Task Allocation in Mobile Crowdsensing -- Joint Data Collection and Truth Inference in Spatial Crowdsourcing -- Cost-quality Aware Compressive Mobile Crowdsensing -- Information Integrity in Participatory Crowd-Sensing via Robust Trust Models -- AI-Driven Attack Modeling and Defence Strategies in Mobile Crowdsensing: A special Case Study on Fake Tasks -- Traceable and Secure Data Sharing in Mobile Crowdsensing -- User Privacy Protection in MCS: Threats, Solutions and Open Issues -- CrowdsourcingThrough TinyML as aWay to Engage End-users in IoT Solutions -- Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health Intelligence -- Crowdsourcing Applications and Techniques in Computer Vision -- Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study.