You are cordially invited to submit papers to the Location Intelligence track at HICSS-55 (Jan 4-7, 2022, Maui, Hawaii).
Location Analytics has emerged as an important set of analytics concepts, tools and techniques that provide location-based intelligence with increasingly critical applications in the private, public and non-profit sectors. The entire geospatial industry has grown to be a worldwide market of $430 billion, fueled by advances in GIS technology and a growing demand by organizations for use of location analytics across a spectrum of industries. The goal of this invited track is to highlight the use and potential of location analytics across the domains of system sciences that are represented at HICSS.
Following the success of the inaugural Location Intelligence research track at HICSS-54, this track is expanding to 3 mini-tracks (MTs) at HICSS-55, focused on –
[A] Geospatial Big Data Analytics,
[B] GIS, Industry 4.0, and Sustainability, and
[C] Location Analytics for System Sciences Research.
[A] Geospatial Big Data Analytics:
This mini-track provides a forum for geospatial big data research using cutting-edge scientific approaches to provide spatial insights to complex problems and systems in business, government, and society. The goal of this mini track is to highlight the use and potential of Geospatial Big Data in a range of areas, including but not limited to:
(A1) Commercial Services,(A2) Health Care,
(A3) Public Sector,
(A4) Geospatial Big Data and Personal Location Data,
(A5) Geospatial Big Data and Location Intelligence.
[B] GIS, Industry 4.0, and Sustainability:
This mini-track provides a research forum aiming to discuss the varied facets of Geographic Information Systems (GIS) for Industry 4.0 and sustainability. The fourth Industrial Revolution is characterized by emerging technologies, such as AI, IoT, blockchain, and the Cloud. Location data and spatial features embedded in such emerging technologies often facilitate and accelerate technological advancements in connected vehicles, connected homes, smart cities, and Industrial IoT, which can improve economic conditions and reduce negative societal impacts. Topic areas include but are not limited to:
(B1) GIS and Industry 4.0,
(B2) GIS and environmental sustainability,
(B3) GIS and smart cities,
(B4) GIS, government, and NGOs,
(B5) Societal Issues with big spatial data,
(B6) Spatial aspects of the sharing economy,
(B7) Mobile location-based applications,
(B8) Cloud-based or web-based GIS concepts and applications,
(B9) Spatial crowdsourcing
[C] Location Analytics for System Sciences Research:
This mini-track seeks scholarly research papers that apply a variety of theories and empirical techniques, quantitative, and qualitative, to understand how location, geography, and related data are increasingly important to incorporate into the system sciences. There is a need to develop new theories and modify existing ones for the systems sciences that incorporate spatial data, locational intelligence, and geographical concepts. Current concepts of data science, big data, trust, and privacy need attention in addressing locational intelligence research questions. Topic areas include but are not limited to:
(C1) Spatial Business
(C2) Spatial Health and Healthcare
(C3) Sustainability and Climate Change
(C4) Industry Clusters and Community Development
(C4) Emergency Management and Public Safety
(C5) Location Analytics for Spatial Big Data
(C6) Spatial Theory, Concepts and Methods
(C7) Locational Data Privacy, Security, and Ethics
Paper submission deadline is JUNE 15, 2021.
Please see the HICSS website (https://hicss.hawaii.edu/) for more information on the location intelligence track (https://hicss.hawaii.edu/tracks-55/location-intelligence/) and submission guidelines.
A list of papers published in the Location Intelligence track of HICSS-54 can be found at https://scholarspace.manoa.hawaii.edu/handle/10125/72249/browse?type=dateissued&sort_by=3&order=DESC.
Please do not hesitate to reach out to the Mini-Track co-chairs if you have any questions.
Dr. Joe Aversa, Assistant Professor, Ted Rogers School of Management, Ryerson University (Chair of Geospatial Big Data Analytics MT) E-mail: firstname.lastname@example.org
Dr. Namchul Shin, Professor and Department Chairperson, Seidenberg School of CSIS, Pace University, and Dr. Dan Farkas, Professor, Seidenberg School of CSIS, Pace University (co-chairs of GIS, Industry 4.0, and Sustainability MT) E-mails: email@example.com & firstname.lastname@example.org
Dr. James Pick, Professor, School of Business, University of Redlands, and Dr. Avijit Sarkar, Professor, School of Business, University of Redlands (co-chairs of Location Analytics for System Sciences Research MT) E-mails: James_Pick@redlands.edu & Avijit_Sarkar@redlands.edu
The Institute for Operations Research and the Management Sciences
phone 1 443-757-3500
phone 2 800-4INFORMS (800-446-3676)