*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