[bcl] 【Call For Papers】 AAG 2015 Special Session: Emerging Topics in Data-driven Geography

  • From: Song GAO <sgao@xxxxxxxxxxxxx>
  • To: bcl@xxxxxxxxxxxxx
  • Date: Mon, 10 Nov 2014 14:35:59 -0800

*Emerging Topics in Data-driven Geography*

at 2015 Annual Meeting of the Association of American Geographers

April 21-25, Chicago, Illinois

[Call for paper deadline is extended to Nov. 19, 2014]

http://geog.ucsb.edu/~sgao/2015aag_data_driven_geography


As the context for geographic research evolves from a data-scarce to a
data-rich or big data environment, a data-driven geography (Miller and
Goodchild, 2014) is emerging during the recent years. This trend sheds new
light on geographic knowledge discovery and spatial modeling, and brings
about innovative developments in technologies and applications. While
presenting myriad possibilities for transforming cross-disciplinary studies
intersecting with geographic research, the proliferation of data-driven
geography also confronts unprecedented legal and ethical challenges, such
as geo-privacy, national security, and global changes. Though still
cautious about a discipline dictated rather than driven by data per se,
geographers gradually reach a consensus that we are entering a new, fourth
phase of geographic studies. Thus, with the emergence of data-driven
geography, we hope that the session will generate discussions in this
emerging area of research, with the goal of long-term community-building on
the topic.

We solicit original research papers (including significant
works-in-progress) on emerging topics in data-driven geography. Specific
topics of interest include but are not limited to:

·         Crowd sourcing and volunteered geographic information. Big (geo)
data assessment (Goodchild, 2013), uncertainty and creditability of
locational information.

·         Geographic knowledge discovery, innovative methods in big data
collection, visualization, manipulation, and evaluation.

·         Innovative prototypes of big (geo) data (commercial or open)
software, hardware, and infrastructures.

·         The multifaceted social, legal and ethical issues raised by the
conduct of data driven approaches.

·         Data-driven applications in geographic domains, including but not
limited to geo-enabled social media, location based services, and remote
sensing data fusion.

*References:*

Miller, H. J., & Goodchild, M. F. (2014). Data-driven geography.
*GeoJournal*, 1-13.

Goodchild, M. F. (2013). The quality of big (geo) data. *Dialogues in Human
Geography,* 3(3), 280-284.



*Organizing Committee:                              *

Linna Li, Chair (California State University, Long Beach, email:
linna.li@xxxxxxxxx)

Bo Zhao, Co-chair (The Ohio State University, email: zhao.662@xxxxxxx)

Song Gao (University of California, Santa Barbara, email: sgao@xxxxxxxxxxxxx
)



*Discussants:*

Michael F. Goodchild (University of California, Santa Barbara) (pending
approval)

Harvey J. Miller (The Ohio State University)

Daniel Z. Sui (The Ohio State University)


*Sponsorships:*

Geographic Information Science and Systems Specialty Group
Spatial Analysis and Modeling Specialty Group
Cyberinfrastructure Specialty Group



If you are interested in giving an* oral presentation* in this session,
please email your abstract, contact information, and the presenter’s
identification number (PIN received from the AAG after online registration,
http://www.aag.org/cs/annualmeeting/register) to one of the organizers by*
November 19, 2014.*



SONG GAO
PhD Student, Department of Geography
Space and Time Knowledge Organization Lab(STKO) & UCSB Center for Spatial
Studies
Ellison Hall 4835, University of California, Santa Barbara, CA 93106-4060,
USA
Website: http://www.geog.ucsb.edu/~sgao/
Email:sgao@xxxxxxxxxxxxx

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