[AISWorld] AMCIS 2017 - SIGGIS Announces Workshop Keynote Speaker

[Daniel Farkas]

SIGGIS is excited to announce the Keynote Speaker for our annual AMCIS
Workshop, ”Locational Big Data and Analytics: Implications for the Sharing
Economy”.


*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
economy*

*Abstract:*

Increasingly we are seeing traditional enterprises partnering with the
sharing economy in digital ecosystems to leverage on-line platforms for
greater customer reach and scale. Many of these partnerships are simply
transactional. Partnerships between participants in an ecosystem, however,
are also opportunities to build new business models and create new revenue
streams. These partnerships seek to share data, driving new customer
insights around customer needs and provide new products and services to
address these needs. The Uber / City of Boston relationship is an example
of a partnership that was to be based on data sharing. This talk will
explore the efforts of the City of Boston and Uber, and propose four
lessons for partnering around data sharing.

*Bio:*

Stephanie Woerner is a Research Scientist at the Center for Information
Systems Research (CISR) at the MIT Sloan School of Management. Her research
centers on how companies manage organizational change caused by the
digitization of the economy. She is currently studying 1) business models
for the next- generation enterprise and 2) the different pathways of
digital transformation companies are taking to become future ready.
Stephanie has a passion for measuring hard-to-assess digital factors such
as connectivity and customer experience, and linking them to firm
performance.

*Workshop Details:*

*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 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.



The workshop will run from 8:30am – 12:00pm.



*Keynote:* Stephanie L. Woerner, Research Scientist, MIT Center for
Information Systems Research (CISR)

*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/

*Adding the Workshop if you are already registered:*

Step 1: Visit AMCIS 2017 Boston Conference Registration
<https://aisnet.org/Login.aspx?returl=%2fevents%2fEventDetails.aspx%3falias%3damcis2017>

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).

-- 
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)