Analytics and Artificial Intelligent for Social Goods

The goal of this special issue is thus to improve the research and practice in issues related to analytics AI and OR solutions for social goods (AI&OR4SG) by mutually benefit from practitioners, researchers, and policymakers international collaborations; promoting the development of new methodology and metrics to address the specific challenges related to analytics AI and OR solutions for social goods (AI&OR4SG); providing professional development to policymakers, and governmental decision-making at the legislative and strategic levels; analyzing for improving the management of government programs, services and operations; providing decision-making solutions in support of homeland security, law enforcement, emergency preparedness, and disaster response; gaining a better understanding of the available data, challenges in data acquisition, and the uncertainty present in the data used for decision making; addressing the ethical issues related to the use of technology for problems that impact society and support humanitarian assistance.

The topics of interest for this special issue are (but not limited): Innovative applications of data analytics to social issues like energy, healthcare, education, food, poverty, injustice, inequalities in society. Machine learning for applications for social good and collaboration. Application of data technologies and data science to social sciences studies in the digital realm. Social impact measurement of emerging services and social entrepreneurship through data and operations research. Social good frameworks and mechanisms enabled by data science research. Smart clusters identification for monitoring international and global social chain for both licit and illicit activities Multi-objective optimization, machine learning, and intelligent techniques for social sharing, media, and interaction. Security and privacy in analytics in social media. Co-simulation and other applications of simulation for social interaction. Decentralized approaches to data sharing applications, e.g. social media over blockchains or decentralized file systems. Sustainable social justice in an open world Game theory for evaluation of corporations in society in non-heterogenous environment Large scale optimization for modeling and evaluating large scale social impacts Modeling dynamic balance of service for demand among the all spheres of society Social good marketplace scheduling Resource allocation systems for social goods Applications of AI in fighting against covid-19 and future pandemic Humanitarian and disaster management Cybersecurity issues in social goods AI based-Mathematical modeling and optimization of social innovative service systems AI Ethics Market segmentation in online platform Spatio-temporal point processes with attention for social goods modeling IoT and sensor allocation for security management

The social goods related sectors, activities, and topics are included (but not limited): Health and Healthcare Wellbeing Humanitarian and disaster relief operations Agriculture Education Social Services Poverty Homelessness Inequality Sustainability Environment Transportation Fraud, collusion, and corruption Government Public safety, criminal justice, and security

This collection was curated by the Editor in Chief from articles that also appear in the journal's issues. The journal's standard peer review policy applies here. If an article was also included in a special issue of the journal, please see the instruction for authors for the special issue peer review policy.