New Light Technologies Inc. (NLT) is partnering with NoBrainerData to develop and provide clients with innovative data-driven solutions in the field of predictive demography and population dynamics.
NLT is a leading provider of data analytics, geospatial, and scientific consulting services, including in the field of disaster management. NoBrainerData was founded by Dr. Jose Miguel Guzman, formerly the Chief of the Population and Development Branch of the United Nations Population Fund (UNFPA). NoBrainerData supports governments, firms and organizations to improve public policies, programs and laws through data-driven innovations and results-oriented research that facilitate and promote informed decisions and business investments.
Together, NLT and NoBrainerData will provide organizations and governments solutions for the effective utilization of non-traditional innovative data collection methods of near-real-time, high-granular, and detailed population estimates. This includes conducting demographic statistical data analysis; forecasting, visualizing and mapping complex demographic data (including 3D population mapping); and developing web-based platforms for demographic data sharing and exploitation.
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Dr. Ran Goldblatt, NLT`s Chief Scientist, notes that more and more data are being collected every day in unprecedented scales and forms. According to Goldblatt, the challenge is in making sense of all this data and converting it into meaningful information that can actually save or improve people’s lives. Understanding the unique demographic characteristics of populations in regions that have traditionally lacked up-to-date demographic data is key for achieving a better and more sustainable human society.
Dr. Guzman explains that together, NLT`s and NoBrainerData’s teams will provide innovative and non-traditional tools that can help, for example, evaluate the impacts of poverty reduction programs; determine the readiness of health services to face pandemics and other global health challenges; map the unique characteristics of population exposed and natural and man-made disasters; improve census cartography and data collection; and make demographic data more accessible and usable. These solutions will also help governments be more cost-efficient in their policies and interventions and businesses’ investments more profitable.
