[AISWorld] HICSS-55 CFP: Location Intelligence Track
Daniel Farkas
dfarkas at pace.edu
Wed Apr 28 15:47:49 EDT 2021
*HICSS-55*
*CALL FOR PAPERS*
*LOCATION INTELLIGENCE TRACK*
*HICSS-55 (Jan 4-7, 2022)*
Dear colleagues,
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 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
spatial 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
(C5) Emergency Management and Public Safety
(C6) Location Analytics for Spatial Big Data
(C7) Spatial Theory, Concepts and Methods
(C8) Locational Data Privacy and Security
*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/> (
https://hicss.hawaii.edu/tracks-55/location-intelligence/) and submission
guidelines <https://hicss.hawaii.edu/authors/>.
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.
Sincerely,
Dr. Joe Aversa, Assistant Professor, Ted Rogers School of Management,
Ryerson University (Chair of Geospatial Big Data Analytics MT) E-mail:
javersa at ryerson.ca
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: nshin at pace.edu & dfarkas at pace.edu
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 at redlands.edu & Avijit_Sarkar at redlands.edu
*Mini-Track [A]: Geospatial Big Data Analytics*
The Hawaii International Conference on System Sciences (HICSS
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.proofpoint.com%2Fv2%2Furl%3Fu%3Dhttps-3A__hicss.hawaii.edu_%26d%3DDwMFAg%26c%3Dn6-cguzQvX_tUIrZOS_4Og%26r%3DdmR-OtAg2p30HSi7S_PzAjCN6z6E4KBrPELvg5XDYpU%26m%3DRuVgKhlBy_oZYpj_7fSWX80p5PFD4ko_d_1W2TPR2BE%26s%3DPxxuXF4XJIKTSg2PJ99thj0tEmvf7w5uCYUfxG9Hwhs%26e%3D&data=02%7C01%7CAvijit_Sarkar%40REDLANDS.EDU%7C19872cfd4aa944fa65c708d816cee4aa%7C496b6d7d089e431889efd9fdf760aafd%7C0%7C0%7C637284425154431981&sdata=vmFacbKB5BV6shYDjL%2FqRtVDdVP8lu90QfylcSfaYBk%3D&reserved=0>)
is known worldwide as one of the longest-standing working scientific
conferences in Information Technology Management. HICSS provides a highly
interactive working environment for top scholars from academia and industry
from over 60 countries to exchange ideas in various areas of information,
computer, and system sciences. Papers published in HICSS proceedings have
been cited extensively for many years, across a spectrum of disciplines.
We encourage you to consider this unique opportunity to showcase your
research in geospatial big data 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:
- *Commercial Services: *Analyses that explores the advancements in
geospatial big data for business functions, including in store behavior
analysis, variety and price optimization, product placement design, improve
performance, labor inputs optimization, and distribution and logistics
optimization.
- *Health Care: *Analyses that addresses data advancements in clinical
decision support systems, individual analytics applied for patient
profiling, personalized medicine, and disease pattern identification.
- *Public Sector: *Analyses that explores the use of geospatial big data
for improving transportation, accessibility, social services, service
delivery, and policy decision-making.
- *Geospatial Big Data and Personal Location Data: *Research related to
indoor and outdoor individual location tracking.
- *Geospatial Big Data and Location Intelligence: *Analyses that
introduce and enhance such emerging areas of space-time modeling, spatial
analytics, locational decision-making, geography of the sharing economy,
and social media analytics.
*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.
Please feel free to email Joe Aversa (*javersa at ryerson.ca
<javersa at ryerson.ca>*) if you have any questions.
Regards,
Mini-Track Chair
Dr. Joe Aversa, Assistant Professor
Ted Rogers School of Management, Ryerson University
Toronto, On M5B 2K3, Canada
javersa at ryerson.ca
*Mini-Track [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, which
can improve economic conditions and reduce negative societal impacts.
Industry trends increasingly focus on sustainable business practices,
responsiveness to climate change, and related social and environmental
issues. GIS (or location analytics) is one of the key technologies of
Industry 4.0. IoT generates an enormous amount of data, a big portion of
which is geospatial data that must be stored in the Cloud and analyzed in
real time for better decision-making and prediction. 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 are bound to create not just
extensive opportunities for economic gains, but also a positive externality
of ecological sustainability.
This mini-track solicits and invites completed research papers from both
academics and practitioners across the following topics, but not limited
to:
· GIS and Industry 4.0
· GIS and environmental sustainability
· GIS and smart cities
· GIS, government, and NGOs
· Societal issues with big spatial data
· Spatial aspects of the sharing economy
· Mobile location-based applications
· Cloud-based or web-based GIS concepts and applications
· Spatial crowdsourcing
*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.
Please do not hesitate to reach out to the Mini-Track co-chairs if you have
any questions.
Sincerely,
Mini-Track Co-Chairs
Dr. Namchul Shin (Primary Contact)
Professor and Department Chairperson, Seidenberg School of CSIS, Pace
University
nshin at pace.edu
Dr. Dan Farkas
Professor, Seidenberg School of CSIS, Pace University
dfarkas at pace.edu
*Mini-Track [C]: Location Analytics for Systems Sciences Research *
This minitrack aims to foster research and collaboration in the expansive,
multi-disciplinary area of locational intelligence. Digital transformation
is leading to application of locational data for organizational
intelligence and decision making in the areas of business operations,
marketing, management information systems, supply chain management and
logistics, environment, natural resources, healthcare, retail, sharing
economy, public safety, risk mitigation and disaster management, among
others. Scholarly research papers are sought 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.
Research papers will be solicited across a range of topics, including but
not limited to:
- Spatial Business: Analyses that address a range of business functions,
including marketing, customer relations, operations, logistics, supply
chain, asset and risk management
- Spatial Health and Healthcare: Analyses that address locational
dimensions of health and delivery of healthcare.
· Sustainability and Climate Change: Analyses that explore the
spatial dimensions of environmental sustainability and climate change.
- Industry Clusters and Community Development: Analyses that address
spatial aspects of economic development and community impacts, including
infrastructure, workforce, environmental impacts, and social inequalities.
- Emergency Management and Public Safety: Studies of systems for
locational intelligence and decision-making in crises and emergencies.
- Location Analytics for Spatial Big Data: Analyses that introduce and
enhance such emerging areas of space-time modeling, spatial analytics,
locational decision-making, geography of the sharing economy, and spatially
referenced social media.
- Spatial Theory, Concepts and Methods: Analyses that explore innovative
approaches to advancing spatial theory, concepts, and methods.
- Locational Data Privacy and Security: Research on the issues and
problems of locational data privacy and security.
*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.
Please do not hesitate to reach out to the Mini-Track co-chairs if you have
any questions.
Sincerely,
Mini-Track Co-Chairs
James Pick (Primary Contact)
University of Redlands
James_Pick at redlands.edu
Avijit Sarkar
University of Redlands
Avijit_Sarkar at redlands.edu
**Important Dates**
April 15: Paper submission system reopened for HICSS-55
June 15: Papers due
August 17: Notification of Acceptance/Rejection
September 22: Deadline for Authors to Submit Final Manuscript for
Publication
October 1: Deadline for at least one author of each paper to register for
HICSS-55
--
Dan Farkas, PhD
Seidenberg School of Computer Science and Information Systems
Pace University
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