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Title: Pathways to Identity: Aiding Law Enforcement in Identification Tasks With Visual Analytics

Abstract

The nature of identity has changed dramatically in recent years, and has grown in complexity. Identities are defined in multiple domains: biological and psychological elements strongly contribute, but also biographical and cyber elements are necessary to complete the picture. Law enforcement is beginning to adjust to these changes, recognizing its importance in criminal justice. The SuperIdentity project seeks to aid law enforcement officials in their identification tasks through research of techniques for discovering identity traits, generation of statistical models of identity and analysis of identity traits through visualization. We present use cases compiled through user interviews in multiple fields, including law enforcement, as well as the modeling and visualization tools design to aid in those use cases.

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1168883
Report Number(s):
PNNL-SA-101869
400904120
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Security Informatics, 3:Article No. 12
Country of Publication:
United States
Language:
English
Subject:
identity; attribution; enrichment; visual analysis; modeling; wizard; law enforcement; visualization

Citation Formats

Bruce, Joseph R., Scholtz, Jean, Hodges, Duncan, Emanuel, Lia, Stanton-Fraser, Danae, Creese, Sadie, and Love, Oriana J. Pathways to Identity: Aiding Law Enforcement in Identification Tasks With Visual Analytics. United States: N. p., 2014. Web. doi:10.1186/s13388-014-0012-6.
Bruce, Joseph R., Scholtz, Jean, Hodges, Duncan, Emanuel, Lia, Stanton-Fraser, Danae, Creese, Sadie, & Love, Oriana J. Pathways to Identity: Aiding Law Enforcement in Identification Tasks With Visual Analytics. United States. doi:10.1186/s13388-014-0012-6.
Bruce, Joseph R., Scholtz, Jean, Hodges, Duncan, Emanuel, Lia, Stanton-Fraser, Danae, Creese, Sadie, and Love, Oriana J. Thu . "Pathways to Identity: Aiding Law Enforcement in Identification Tasks With Visual Analytics". United States. doi:10.1186/s13388-014-0012-6.
@article{osti_1168883,
title = {Pathways to Identity: Aiding Law Enforcement in Identification Tasks With Visual Analytics},
author = {Bruce, Joseph R. and Scholtz, Jean and Hodges, Duncan and Emanuel, Lia and Stanton-Fraser, Danae and Creese, Sadie and Love, Oriana J.},
abstractNote = {The nature of identity has changed dramatically in recent years, and has grown in complexity. Identities are defined in multiple domains: biological and psychological elements strongly contribute, but also biographical and cyber elements are necessary to complete the picture. Law enforcement is beginning to adjust to these changes, recognizing its importance in criminal justice. The SuperIdentity project seeks to aid law enforcement officials in their identification tasks through research of techniques for discovering identity traits, generation of statistical models of identity and analysis of identity traits through visualization. We present use cases compiled through user interviews in multiple fields, including law enforcement, as well as the modeling and visualization tools design to aid in those use cases.},
doi = {10.1186/s13388-014-0012-6},
journal = {Security Informatics, 3:Article No. 12},
number = ,
volume = ,
place = {United States},
year = {Thu Sep 18 00:00:00 EDT 2014},
month = {Thu Sep 18 00:00:00 EDT 2014}
}
  • The nature of identity has changed dramatically in recent years and has grown in complexity. Identities are defined in multiple domains: biological and psychological elements strongly contribute, but biographical and cyber elements also are necessary to complete the picture. Law enforcement is beginning to adjust to these changes, recognizing identity’s importance in criminal justice. The SuperIdentity project seeks to aid law enforcement officials in their identification tasks through research of techniques for discovering identity traits, generation of statistical models of identity and analysis of identity traits through visualization. We present use cases compiled through user interviews in multiple fields, includingmore » law enforcement, and describe the modeling and visualization tools design to aid in those use cases.« less
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