NSF Org:	SES Division of Social and Economic Sciences
Recipient:	CARNEGIE MELLON UNIVERSITY
Initial Amendment Date:	September 11, 2009
Latest Amendment Date:	September 30, 2010
Award Number:	0924358
Award Instrument:	Standard Grant
Program Manager:	Cheryl Eavey ceavey@nsf.gov  (703)292-7269 SES  Division of Social and Economic Sciences SBE  Directorate for Social, Behavioral and Economic Sciences
Start Date:	September 15, 2009
End Date:	August 31, 2010 (Estimated)
Total Intended Award Amount:	$0.00
Total Awarded Amount to Date:	$5,000.00
Funds Obligated to Date:	FY 2009 = $5,000.00
History of Investigator:	Stephen Fienberg (Principal Investigator) fienberg@stat.cmu.edu
Recipient Sponsored Research Office:	Carnegie-Mellon University 5000 FORBES AVE PITTSBURGH PA  US  15213-3815 (412)268-8746
Sponsor Congressional District:	12
Primary Place of Performance:	Carnegie-Mellon University 5000 FORBES AVE PITTSBURGH PA  US  15213-3815
Primary Place of Performance Congressional District:	12
Unique Entity Identifier (UEI):	U3NKNFLNQ613
Parent UEI:	U3NKNFLNQ613
NSF Program(s):	Methodology, Measuremt & Stats
Primary Program Source:	01000910DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	0000, OTHR
Program Element Code(s):	133300
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.075

ABSTRACT

This award will support travel and expenses for young U.S. participants in a three-day Workshop on Statistical Methods for the Analysis of Network Data in Practice, to be held on June 15-17, 2009 in Dublin, Ireland. Many modern data analysis problems involve large data sets from social, biological and other networks. In these settings, traditional modeling assumptions are inappropriate; the analysis of these data must take into account the structure of relationships between the entities being measured. In keeping with this perspective, the Annals of Applied Statistics (AOAS) has been planning a special section to appear in late 2009 or early 2010 with papers on the modeling of network data. This workshop will pay special attention to model design and computational issues of model fitting and inference. The workshop will take advantage of the high quality papers that have already been submitted to AOAS to bringing together statistical network modeling researchers from different communities, and encourage the submission of papers by young researchers and graduate students in a broad spectrum of disciplines. The workshop goal is to foster collaborations and intellectual exchange resulting in novel modeling approaches, diverse applications, and new research directions for network research and its application.

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