How can data science help boost developing countries?

olcomlabs · 2015-06-24T22:10:42+00:00

1)Smarter Cities: The primary area data science and Machine learning can be applied is by building something called as 'Smart Cities'. The concept of "Smart" cities has been currently applied in lots of developed nations, but developing countries could really make good use of such an infrastructure owing to potential value it can provide to our economic growth. If country like India has to become a developed nation our GDP cannot afford to grow at less than 8% annually. And that would require enormous growth in not only education, but infrastructure, security, healthcare, manufacturing and many other industries. 2.Transportation and Infrastructure: Few issues are as important to urban professionals as public transportation. Dependence on these systems for safe, reliable transit is growing, especially as gas prices continue to surge. But a city's transportation systems also have major implications for businesses and city leaders focused on commerce, development and the environment. A major disruption in operations can have a debilitating effect on the local economy, not to mention public trust. 3). Healthcare: Global urbanization is upon us. By 2030, it is estimated that 60 percent of all people will live in cities, compared to 1950 when just 30 percent of the population was urban. This would require focus on implementing programs and services to improve individual and population health and productivity, to make our community a more desirable place to live and work, and to reduce the cost of doing business.

Thread starter olcomlabs
Start date Jun 25, 2015

olcomlabs

JamiiForums uses cookies to help personalise content, tailor your experience and to keep you logged in if you register.
By continuing to use this site, you are consenting to our use of cookies.

Accept Learn more…

Back

Top Bottom

Forums

New posts

How can data science help boost developing countries?

olcomlabs

Member

Our Community

Regional Communities