[AISWorld] AMCIS 2017 Schedule: SIGGIS Events: Workshop, Mini-track

Daniel Farkas dfarkas at pace.edu
Thu Aug 3 18:06:02 EDT 2017

(apologies for cross-listings)

AIS Colleagues,

It is not too late to join SIGGIS at our AMCIS 2017 Events: *Workshop,
Mini-track Sessions and Business Meeting*. Registration instructions at the
end of this announcement.

*Workshop: Thursday, August 10, 2017 *

8:30 a.m. - 12:00 p.m. *SIGGIS Innovations in Locational Big Data and
Analytics: Implications for the Sharing Economy*, Berkeley A & B - Floor 3

*Keynote Speaker: *

Stephanie L. Woerner

Research Scientist

MIT Center for Information Systems Research (CISR)

Title: *Dare to Share: Making data sharing a competence in the sharing

*Workshop Details:*

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

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 spatiotemporal 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.

*Business Meeting: Friday,  August 11, 2017*

6:00 p.m. 7:30 p.m. SIGGIS Business Meeting Backbay B, Floor 2

*Minitrack: Saturday, August 12, 2017*

*Locational Analytics I (SIGDSA)*

10:30 a.m. - 12:00 p.m., Berkeley - Floor 3

*Locational Analytics II (SIGDSA)*

1:30 p.m. - 3:00 p.m., Berkeley - Floor 3


*Registration is available as part of the AMCIS 2017 *

*                    Conference Registration, which is now open.*

                    Click here to register:

*Adding the Workshop if you are already registered:*

Step 1: Visit AMCIS 2017 Boston Conference Registration

Step 2: Member Login

Step 3: Select Register

Step 4: An (Attention Pop-Up Box) will appear with two (2) Options

Step 5: Click on Modify an Existing Registration

Step 6: Click on the Attendee Selections Tab

Step 7: Review Ancillary Meetings & Workshops

Step 8: Click the check box to the right of *each *Ancillary Meeting &
Workshop to register.

Step 9: Click Save and Proceed to Check Out

*If you have registered for any Ancillary Meetings & Workshops with fees
associated, you will only be responsible for remitting payment for your
selections. You will not be charged again for Conference Registration.*

If you have any questions about registering for the Workshops please
contact Dan Farkas (djf2128 at gmail.com) or Avijit Sarker (
Avijit_Sarkar at redlands.edu).

*A Workshop agenda can be found at:

Dan Farkas, PhD
Seidenberg School of Computer Science and Information Systems
Pace University
Pleasantville, NY,  10570 USA

Visiting Professor of Computing, Glyndwr University, Wrexham, Wales, UK

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

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