-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] AMCIS, 2017 - Workshop, Locational Big Data and Analytics: Implications for the Sharing Economy Datum: Wed, 10 May 2017 14:04:03 -0400 Von: Daniel Farkas dfarkas@pace.edu An: aisworld@lists.aisnet.org

AIS Colleagues,

It's not to early to Plan for AMCIS, 2017 in Boston. Below is the first announcement (more detail to come).

We hope to see you in Boston.

Dan

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*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 spatiotemporal methods that can take advantage of newly emerging data-intensive computational resources.

Hence, 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*

9:00-9:15 am Introduction to the Workshop

9:15-10:15 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.)

12:00-1:00 pm Workshop Summary. Key takeaways. Next steps for participants? _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org