ITU Telecom World Archives — LIRNEasia


LIRNEasia CEO participated in two more events at the ITU Telecom World 2015 held in Budapest, Hungary. The ICT Economic and Industry Round Table aimed to look to the future to imagine with digital development would be.  Helani spoke about state investment into the backhaul infrastructure, and about private sector entry into connecting the unconnected through zero rating. The other panel today was titled The Data Rich, Decision Making Poor: How to use Big Data for Improved Government Action.  Helani showcased LIRNEasia’s Big Data research and our research inputs into the the Western Region Megapolis plan in Sri Lanka.
LIRNEasia CEO took part in the Leadership Summit at the ITU Telecom World 2015 in Budapest, Hungary. Yesterday she took part in a panel discussion making innovations in ICT work for social impact, and used the results of LIRNEasia’s Systematic Review titled “Mobile-phone interventions for improving economic and productive outcomes for farm and non-farm rural enterprises and households in low and middle-income countries” to make the point about network rollout and good regulation.
Following the plenary in 2013 at which Viktor Mayer-Schonberger introduced big data to ITU Telecom World attendees, there will be a panel discussion at the 2014 edition in Doha, Qatar. What is novel is that we will have three presentations by those who have actually got their hands dirty with big data, including Linus Bengtsson on Flowminder who will talk about their most recent work in helping track Ebola in West Africa, and our own Sriganesh Lokanathan and Joshua Blumenstock. Big Data for Development Tuesday, December 09, 2014, 11:00 AM – 12:30 PM, Meeting Room 104 Companies are increasingly relying on business analytics to extract value from the large volumes of computer-readable and analyzable (or “datafied”) data in their possession. For example, telecom operators are using these techniques to identify customers likely to exit so as to manage churn. Big data for development (BD4D) seeks to apply these techniques to big data held by both government and private entities to answer development-related questions.