Dear colleagues,

All technologies designed to comprehend the brain, visualise its operations, and even regulate, repair, or improve its functioning are referred to as neurotechnology. Although electroencephalography has been around for almost a century, brain imaging utilising magnetic resonance imaging (MRI) scans was the first big advance in this discipline in recent decades. Wearable sensing technologies such as smartphones, smart watches, wristbands etc., are self-tracking tools capable of monitoring vital signs, weight, fitness, sleep, diet, emotions and even social interactions. With the development of brain-brain interfaces that can convert ideas, sensations, or impulses into digital signals that can be transferred to another person. The ability to monitor biological, behavioural, and environmental outcomes in social system has encouraged the health researchers, providers and policy makers to dig deep into wearable sensing and neuro-technologies.

Moreover, these technologies offer a breakthrough opportunity to improve people's social awareness and self-awareness through machine-enhanced recognition and interpretation of human behaviours. Although social behaviour has been highly reported in psychology and engineering literature, this special issue uniquely aims to serve as a disciplinary convergence bridge and a guide for engineers capable of bringing new technologies to bear against the current challenges in real-time monitoring of social behaviour in computational social systems. To build models of social dynamics that is constrained by the empirical reality of human social systems which is achieved by predicting societal trends through real-time monitoring of social behaviour.

Researchers and scholars are invited in this special issue to address the mentioned challenges in wearable sensing and neuro-technologies for real-time monitoring of social behaviour in computational social systems.

Topics of interest but not limited to:

• human social sensing for computational social science

• building models of social dynamics.

• sensing and shaping social behaviour 

• social interaction with a wearable WSN 

• wearable long-term social sensing 

• the limits of neurotechnology: neurorights 

• design framework for social wearables 

• deep learning models on cognitive and neuro technologies

• enabling machine learning on cognitive and neuro technologies 

• using wearable proximity sensors to characterize social contact 

• wearable social sensing for mental wellbeing

Dr. Mohammad Shabaz

Dr. Shah Nazir

Dr. Abolfazl Mehbodniya

Dr. Muhammad Attique Khan

Guest Editors

Human Social Sensing for Computational Social Science; Building Models of Social Dynamics; Sensing and Shaping Social Behaviour; Social Interaction with a Wearable WSN; Wearable Long-term Social Sensing; the Limits of Neurotechnology: Neurorights; Design Framework for Social Wearables; Deep Learning Models on Cognitive and Neuro Technologies; Enabling Machine Learning on Cognitive and Neuro Technologies; Using Wearable Proximity Sensors to Characterize Social Contact; ​Wearable Social Sensing for Mental Wellbeing