TY - GEN
T1 - Urban informatics for social good
T2 - 2nd International Workshop on Science of Smart City Operations and Platforms Engineering, SCOPE 2017
AU - Kontokosta, Constantine E.
N1 - Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/4/18
Y1 - 2017/4/18
N2 - The vast amount of data generated from diverse sources provides both an opportunity and a challenge to urban policymakers and decision-makers. The application of data science and analytics to parse the detailed data that city agencies continually collect offers the opportunity to identify new areas for operational efficiencies, enhanced service delivery, and better informed policy design and implementation. This exploratory paper articulates the theoretical, practical, and pedagogical foundations for the fields of urban informatics and civic analytics and the challenges and tensions to effectively applying computational approaches to urban management, policy, and planning. It describes the state of the field, defines the need for computational methods in cities, and presents the tensions in creating data-driven approaches that both acknowledge and capitalize on shifting modes of learning, working, and decisionmaking. The paper concludes with a discussion of connecting urban theory to informatics practice.
AB - The vast amount of data generated from diverse sources provides both an opportunity and a challenge to urban policymakers and decision-makers. The application of data science and analytics to parse the detailed data that city agencies continually collect offers the opportunity to identify new areas for operational efficiencies, enhanced service delivery, and better informed policy design and implementation. This exploratory paper articulates the theoretical, practical, and pedagogical foundations for the fields of urban informatics and civic analytics and the challenges and tensions to effectively applying computational approaches to urban management, policy, and planning. It describes the state of the field, defines the need for computational methods in cities, and presents the tensions in creating data-driven approaches that both acknowledge and capitalize on shifting modes of learning, working, and decisionmaking. The paper concludes with a discussion of connecting urban theory to informatics practice.
KW - City planning
KW - Civic analytics
KW - Data for social good
KW - Data science
KW - Urban informatics
UR - http://www.scopus.com/inward/record.url?scp=85019762845&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019762845&partnerID=8YFLogxK
U2 - 10.1145/3063386.3064888
DO - 10.1145/3063386.3064888
M3 - Conference contribution
AN - SCOPUS:85019762845
T3 - Proceedings - 2017 2nd International Workshop on Science of Smart City Operations and Platforms Engineering, in partnership with Global City Teams Challenge, SCOPE 2017
SP - 52
EP - 56
BT - Proceedings - 2017 2nd International Workshop on Science of Smart City Operations and Platforms Engineering, in partnership with Global City Teams Challenge, SCOPE 2017
PB - Association for Computing Machinery, Inc
Y2 - 21 April 2017
ER -