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AI and Analytics for Public Health

Proceedings of the 2020 INFORMS International Conference on Service Science

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Hui Yang

    1. Department of Industrial Engineering, Pennsylvania State University, University Park, USA

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  2. Robin Qiu

    1. Division of Engineering & Info Sci, Pennsylvania State University, Malvern, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Weiwei Chen

    1. Department of Supply Chain Management, Rutgers, The State University of New Jer, Piscataway, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent advances and rigorously developed papers in service science research, education and implementation
  • Highlights emerging technology and applications in the state-of-the-art of service research
  • Includes service case studies written by scholars and practitioners worldwide

Part of the book series: Springer Proceedings in Business and Economics (SPBE)

Included in the following conference series:

Conference proceedings info: INFORMS-CSS 2020.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-xii
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  2. Epidemic Informatics and Control: A Review from System Informatics to Epidemic Response and Risk Management in Public Health

    • Hui Yang, Siqi Zhang, Runsang Liu, Alexander Krall, Yidan Wang, Marta Ventura et al.
    Pages 1-58

  3. Private vs. Pooled Transportation: Customer Preference and Congestion Management

    • Kashish Arora, Fanyin Zheng, Karan Girotra
    Pages 59-74

  4. Optimal Dispatch in Emergency Service System via Reinforcement Learning

    • Cheng Hua, Tauhid Zaman
    Pages 75-87

  5. Towards Understanding the Dynamics of COVID-19: An Approach Based on Polynomial Regression with Adaptive Sliding Windows

    • Yuxuan Xiu, Wai Kin Victor Chan
    Pages 89-100

  6. Capturing the Deep Trend of Stock Market for a Big Profit

    • Robin Qiu, Jeffrey Gong, Jason Qiu
    Pages 101-110

  7. Analysis on Competitiveness of Service Outsourcing Industry in Yangtze River Delta Region

    • Yanfeng Chu, Qunkai Peng
    Pages 111-121

  8. OPBFT: Optimized Practical Byzantine Fault Tolerant Consensus Mechanism Model

    • Hui Wang, Wenan Tan, Jiakai Wu, Pan Liu
    Pages 123-135

  9. Entropy Weight-TOPSIS Method Considered Text Information with an Application in E-Commerce

    • Ailin Liang, Xueqin Huang, Tianyu Xie, Liangyan Tao, Yeqing Guan
    Pages 137-148

  10. Optimal Resource Allocation for Coverage Control of City Crimes

    • Rui Zhu, Faisal Aqlan, Hui Yang
    Pages 149-161

  11. Application of Internet of Things (IoT) in Inventory Management for Perishable Produce

    • Jing Huang, Hongrui Liu
    Pages 163-177

  12. Modified Risk Parity Portfolios to Limit Concentration on Low Risk Assets in Multi-Asset Portfolios

    • Fatemeh Amini, Atefeh Rajabalizadeh, Sarah M. Ryan, Farshad Niayeshpour
    Pages 179-189

  13. A Data Analysis Method for Estimating Balking Behavior in Bike-Sharing Systems

    • Aditya Ahire, Ashkan Negahban
    Pages 191-203

  14. The Impact of Scalability on Advisory and Service Delivery Efforts of Nonprofits

    • Priyank Arora, Morvarid Rahmani, Karthik Ramachandran
    Pages 205-213

  15. Green Location-Routing Problem with Delivery Options

    • Mengtong Wang, Lixin Miao, Canrong Zhang
    Pages 215-228

  16. Molecular Bioactivity Prediction of HDAC1: Based on Deep Neural Nets

    • Miaomiao Chen, Shan Li, Yu Ding, Hongwei Jin, Jie Xia
    Pages 229-240

  17. Risk Assessment Indicators for Technology Enterprises: From the Perspective of Complex Networks

    • Runjie Xu, Nan Ye, Qianru Tao, Shuo Zhang
    Pages 241-253

  18. Subsidy Design for Personal Protective Equipments (PPEs) Adoption

    • Ailing Xu, Qiao-Chu He, Ying-ju Chen
    Pages 255-260

  19. Early Detection of Rumors Based on BERT Model

    • Li Yuechen, Qian Lingfei, Ma Jing
    Pages 261-268

  20. Research on the Cause of Personal Accidents in Electric Power Production Based on Capacity Load Model

    • Penglei Li, Chuanmin Mi, Jie Xu
    Pages 269-280
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  1. AI and Analytics for Public Health

Keywords

About this book

This volume offers the state-of-the-art research and developments in service science and related research, education and practice areas. It showcases emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users’ both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. Chapters highlight ways to approach such technical challenges in service science and are based on submissions from the 2020 INFORMS International Conference on Service Science.

Editors and Affiliations

  • Department of Industrial Engineering, Pennsylvania State University, University Park, USA

    Hui Yang

  • Division of Engineering & Info Sci, Pennsylvania State University, Malvern, USA

    Robin Qiu

  • Department of Supply Chain Management, Rutgers, The State University of New Jer, Piscataway, USA

    Weiwei Chen

About the editors

Hui Yang is a Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University, University Park, PA. Dr. Yang's research interests focus on sensor-based modeling and analysis of complex systems for process monitoring, process control, system diagnostics, condition prognostics, quality improvement, and performance optimization.

Robin Qiu is Professor at Pennsylvania State University, USA. Dr. Qiu’s research interests include Big Data, Data/Business Analytics, Smart Service Systems, Service Science, Service Operations and Management, Information Systems, and Manufacturing and Supply Chain Management.

Weiwei Chen is an Associate Professor at Rutgers University, USA. His research interests lie in operations and finance interface, as well as supply chain operations planning and scheduling. He also works on simulation and randomized global optimization methodologies.

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