NLT is a provider of geospatial, data analytics, and scientific consulting services, including in the field of disaster management. NoBrainerData was established by Dr. Jose Miguel Guzman, formerly the Chief of the Population and Development Branch of the United Nations Population Fund (UNFPA).
FREMONT, CA: New Light Technologies (NLT) is entering into a partnership with NoBrainerData to develop and offer clients innovative data-driven solutions in the field of predictive demography as well as population dynamics.
NLT is a provider of geospatial, data analytics, and scientific consulting services, including in the field of disaster management. NoBrainerData was established by Dr. Jose Miguel Guzman, formerly the Chief of the Population and Development Branch of the United Nations Population Fund (UNFPA). NoBrainerData supports firms, governments, and organizations to improve public policies, laws, and programs through data-driven innovations and results-oriented research that facilitate as well as promote informed decisions and business investments.
Together, NLT and NoBrainerData will offer organizations and governments solutions for the effective use of non-traditional innovative data collection methods of high-granular, near-real-time, and detailed population estimates. This includes conducting demographic statistical data analysis; visualizing, forecasting, and mapping complicated demographic data (including 3D population mapping); and developing web-based platforms for demographic data sharing as well as exploitation.
Dr. Ran Goldblatt, NLT's Chief Scientist, notes that more and more data are being collected every day in unprecedented forms and scales. As per Goldblatt, the challenge is in making sense of all this data and turning it into meaningful information that can actually save or improve people's lives. Comprehending the unique demographic characteristics of populations in regions that have traditionally lacked updated demographic data is key for achieving a better as well as more sustainable human society.
Dr. Guzman explains that together, NLT's and NoBrainerData's teams will give innovative and non-traditional tools that can help, for example, determine the readiness of health services to fight pandemics and other global health challenges; assess the impacts of poverty reduction programs; map the unique characteristics of the population exposed as well as natural and man-made disasters; enhance census cartography and data collection, and make demographic data more usable and accessible.