Award Abstract # 0527512
DHB: Collaborative Research: LL-Map. Language and Location: A Map Annotation Project

NSF Org: BCS
Division of Behavioral and Cognitive Sciences
Recipient: EASTERN MICHIGAN UNIVERSITY
Initial Amendment Date: September 20, 2005
Latest Amendment Date: March 8, 2011
Award Number: 0527512
Award Instrument: Standard Grant
Program Manager: Amber L. Story
BCS
 Division of Behavioral and Cognitive Sciences
SBE
 Directorate for Social, Behavioral and Economic Sciences
Start Date: January 1, 2006
End Date: December 31, 2011 (Estimated)
Total Intended Award Amount: $598,235.00
Total Awarded Amount to Date: $633,024.00
Funds Obligated to Date: FY 2005 = $598,235.00
FY 2009 = $34,789.00
History of Investigator:
  • Helen Aristar-Dry (Principal Investigator)
    hdry@linguistlist.org
  • Yichun Xie (Co-Principal Investigator)
  • Veronica Grondona (Co-Principal Investigator)
Recipient Sponsored Research Office: Eastern Michigan University
203 PIERCE HALL
YPSILANTI
MI  US  48197-2264
(734)487-3090
Sponsor Congressional District: 06
Primary Place of Performance: Eastern Michigan University
203 PIERCE HALL
YPSILANTI
MI  US  48197-2264
Primary Place of Performance
Congressional District:
06
Unique Entity Identifier (UEI): STFNT4KCCDU3
Parent UEI:
NSF Program(s): ASSP-Arctic Social Science,
HSD - DYNAMICS OF HUMAN BEHAVI
Primary Program Source: 0100CYXXDB NSF RESEARCH & RELATED ACTIVIT
app-0105 
Program Reference Code(s): 7319, 0000, OTHR, 5221
Program Element Code(s): 522100, 731900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.075

ABSTRACT

Unlike objects such as vases or pieces of jewelry, languages move primarily when a group of people speaking them migrates and settles in a new area. Thus, information about language boundaries and language relationships can provide critical insights into the migrations, interactions, cultures, and genetics of populations. However, such insights can only be realized in a system that melds language information with information from the physical and social sciences. The most effective way to do this is through a Geographical Information System (GIS), which can flexibly organize a wide range of heterogeneous data, presenting the assembled information according to the topography of geographical regions. This allows language data to be integrated with geographical, political, demographic, zoological, botanical and archaeological data in ways which are immediately visually interpretable.

The LL-MAP project will build a database of linguistic information which is integrated into such a geographically-based system and is made freely available through Internet-based tools. These will allow users to generate customized maps showing the relationships between language and diverse kinds of non-linguistic data. They will also allow researchers to add annotations to map-oriented data, and to discuss the relationships the system manifests. In this way LL-MAP will encourage collaboration between linguists, historians, archaeologists, ethnographers and geneticists, as they explore the relationships between language and cultural adaptation and change. The integrated data approach embodied in LL-MAP will thus promote innovative research methods, and these in turn may lead to new insights into the prehistoric relationships among human populations.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Veselinova, Ljuba and Jason C. Booza. "Using GIS to Map the Multilingual City" Proceedings of the 26th ESRI International User Conference, paper UC1467 , 2006 , p.157

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