Center for International Earth Science Information Network (CIESIN) Columbia University
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The Center for International Earth Science Information Network (CIESIN) is a center within the Columbia Climate School at Columbia University. CIESIN works at the intersection of the social, natural, and information sciences, and specializes in on-line data and information management, spatial data integration and training, and interdisciplinary research related to human interactions in the environment.

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Climate LIVE K12 Is Back: RSVP for Winter 2023 and Spring 2024 Sessions
In the Climate LIVE video series, experts from across the Columbia Climate School discuss topics in climate and sustainability for grade school and university students, educators, parents and the public.

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CIESIN Welcomes New Associate Director for Science Applications

Headshot of CIESIN Associate Director of Science Applications Dana Thomson

CIESIN is pleased to announce the arrival of Dr. Dana Thomson, a prominent public health and spatial data expert who has worked at the intersection of demography, public health, and geography for two decades. Dr. Thomson’s work is characterized by open data, user-centered design, equitable partnerships that address historical inequities, and co-design of meaningful information. She will manage the CIESIN Science Applications division, which advances interdisciplinary research and applications on human-environment interactions, bringing to bear state-of-the-art scientific data and knowledge on pressing sustainable development challenges.

Dr. Thomson helped to establish the Integrated Deprived Area Mapping System (IDEAMAPS) Network which brings together experts from traditionally-siloed “slum” mapping communities including community members, government officials, humanitarians, and data scientists. Several projects within the IDEAMAPS Network are building the infrastructure and processes necessary for “slum” residents and local experts to access the data they need in appropriate formats and validate modelled outputs (maps) in areas they are familiar with, and for modelers to access a validation data layer to improve future iterations of models.

Dana is also a pioneer in the field of gridded population sampling, developing innovative tools and sampling approaches to more accurately measure populations in data-scarce settings, especially vulnerable and mobile populations who are poorly captured by traditional data collection methods. She developed and other tools that help survey experts without Geographic Information System (GIS) skills to create sample frames from gridded population data, and recently published the go-to manual on Designing and Implementing Gridded Population Surveys.

Dana holds a BA in Geography from the George Washington University, an MSc in Global Public Health from the Harvard School of Public Health, and an MSc and PhD in Social Statistics from the University of Southampton (UK). Her research has evaluated the accuracy of gridded population estimates and feasibility of their use for fieldwork in lower- and middle-income countries, and includes several large-scale evaluations of health systems in Africa, Asia, and the Caribbean using geospatial and household survey data. She has also taught practitioners and applied researchers at Harvard University, the University of Rwanda, and the University of Southampton, and worked with AmeriCorps, the Brookings Institution, Johns Snow Inc., the Measure DHS Project, and the World Bank. She has published 48 peer-reviewed articles in journals such as Land Use Policy, PLoS One, Urban Science and the International Journal of Health Geography.

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