IN53A:
Where We Live and Work: Improving Data and Models for Human Settlements, Infrastructure, and Population Distribution I Posters

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Session ID#: 26361

Session Description:
Our exposure and vulnerability to extreme events, climate change, conflict, and other threats, as well as our ability to develop sustainably and build resilience, are conditioned on where we live and work and on our ability to develop and maintain protective infrastructure in sustainable human settlements. An increasing array of remote sensing and other data sources are opening up opportunities to better assess, monitor, model, and predict population and infrastructure patterns, characteristics, and change on diverse spatial and temporal scales. This session will showcase new data sources and applications, innovative data mining and analytic methods, and evolving modeling and validation approaches from a range of natural, social, health, and engineering science communities. It will provide a venue to showcase emerging applications of data to address pressing societal decisions, challenges in open data access, integration, and use, and ways to facilitate interdisciplinary collaboration across the public and private sectors.
Primary Convener:  Robert S Chen, Columbia University, Center for International Earth Science Information Network, Palisades, NY, United States
Conveners:  Budhendra L Bhaduri, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Andrea E Gaughan, University of Louisville, Dept. of Geographic and Environmental Sciences, Louisville, KY, United States and Gregory Yetman, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States
Chairs:  Gregory Yetman, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States and Robert S Chen, Columbia University, Center for International Earth Science Information Network, Palisades, NY, United States
OSPA Liaison:  Gregory Yetman, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States
Co-Organized with:
Earth and Space Science Informatics, Global Environmental Change, and Natural Hazards
Index Terms:

1640 Remote sensing [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]
4323 Human impact [NATURAL HAZARDS]
4329 Sustainable development [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Are Remotely Sensed Trends in the Built Environment and Urban Vegetation Predictive of Changes in Metropolitan Housing Markets? (253243)
K. Arthur Endsley, University of Michigan Ann Arbor, School of Natural Resources and Environment, Ann Arbor, United States
Climate Classification is an Important Factor in ­Assessing Hospital Performance Metrics (241443)
Mary Regina Boland, University of Pennsylvania, Philadelphia, PA, United States, Pradipta Parhi, Columbia University, New York, NY, United States, Pierre Gentine, Columbia University, Department of Earth and Environmental Engineering, New York, United States and Nicholas P Tatonetti, Columbia University, Biomedical Informatics, New York, NY, United States
Bayesian modeling to assess populated areas impacted by radiation from Fukushima (226567)
Carolynne Hultquist, Center for International Earth Science Information Network, Columbia University, Palisades, United States and Guido Cervone, Pennsylvania State University Main Campus, Department of Geography and Institute for Computational and Data Sciences, University Park, PA, United States
The Disconnection of Physical Reconstruction and Living Mode Restoration amongst Resettled Rural Households: A Case Study on The 2008 Sichuan Earthquake Recovery Program, China (264080)
Lulu He1, Jonathan C Aitchison2 and Karen Hussey1, (1)Global Change Institute, Brisbane, Australia, (2)The University of Queensland, School of Earth and Environmental Sciences, Brisbane, QLD, Australia

See more of: Earth and Space Science Informatics