[AISWorld] AMCIS 2017 Workshop on Locational Big Data and Analytics: Implications for the Sharing Economy

[Daniel Farkas]

AIS Colleagues,

Please join us for our AMCIS pre-conference workshop on Location Analytics
and its implication for the Sharing Economy.  We have other activities
planned including 2 mini-tracks (in the SIGDSA track).  We hope to see you
in Boston.

*AMCIS 2017 *

*SIGGIS Workshop*



*Locational Big Data and Analytics: Implications for the Sharing Economy*



Thursday, August 10, 2017, 8:30am – noon



This workshop will focus on varied aspects of Locational Big Data and
Analytics, specifically its impact on the sharing economy.  For example,
firms such as Uber, Lyft, and Airbnb depend on enterprise-wide spatial
software.  This workshop seeks to provide the background from leading
researchers and practitioners on how spatial analytics supports and informs
the growth and success of the sharing economy.  Underpinning this growth
are several newly emerging spatially-enabled technologies that will be
discussed and explored through various use-cases, demonstrations, and
hands-on tutorials.  As such, Locational Big Data and Analytics has created
a need for the efficient manipulation and scalable analysis of spatial big
data on disparate, and distributed, datasets.  As a result, this has opened
a number of research areas such as:


   - Developing capabilities for accessing, formatting, and combining
   spatial big data in ways that enable it to be easily consumed;
   - Developing methodologies to derive insight into spatial big data for
   inferential understanding and decision making;
   - Developing teaching resources to better understand the use of data
   manipulation techniques, spatial statistics, and spatial data-mining tasks
   related to spatial big data; and
   - Developing novel spatial and spatio-temporal methods that can take
   advantage of newly emerging data-intensive computational resources.

In addition to workshop activities, a group activity will be facilitated
focusing on research areas such as those listed above to discuss the “who,
what, where, when, how, and why” of participating in this burgeoning
research domain.



8:30-9:00 am                *PRE-WORKSHOP COFFEE and TEA*

9:00-9:25 am                Introduction to the Workshop and the Sharing
Economy

9:25-10:15 am              Innovations in Locational Big Data and Analytics
Orientation

                                    (Overview of topic, hands-on
activities, and demonstrations)

10:15-10:30 am             *BREAK – COFFEE and TEA*

10:30-11:15 am            Keynote Speaker (TBA)

11:15-12:00 pm             Innovations in Locational Big Data and Analytics
Practice and Research

(Keynote topic open questions, issues, etc.)

12:00-12:15 pm             Workshop Summary.  Key takeaways.  Next steps
for participants?


Presenters:

                   Brian Hilton, Claremont Graduate University

                   James B. Pick, University of Redlands

                   Avijit Sarkar, University of Redlands

                   Hindupur Ramakrishna, University of Redlands

                   Dan Farkas, Pace University

                   Namchul Shin, Pace University





*REGISTRATION*.  *Registration is available as part of the AMCIS 2017 *

*                    Conference Registration, which is now open.*

                    Click here to register:
https://amcis2017.aisnet.org/register/



                     If you have any questions about registering for the
Workshops

                     please contact Dan Farkas (djf2128 at gmail.com) or

                     Avijit Sarkar (Avijit_Sarkar at redlands.edu).

-- 
Dan Farkas, PhD
Seidenberg School of Computer Science and Information Systems
Pace University
Pleasantville, NY,  10570 USA
http://www.pace.edu/seidenberg/

Visiting Professor of Computing, Glyndwr University, Wrexham, Wales, UK
http://www.glyndwr.ac.uk/

Chair, AIS Special Interest Group on Geographic Information Systems (SIGGIS)