What Bill Gates doesn’t know: real-time data in global health

Joel Selanikio ON 26 February 2013

You may have seen this recent tweet from Hans Rosling — the noted physician, global development data specialist, and data visualization guru: BAD NEWS from Gabon, 1st child death survey in 10 years shows no improvement inspite of high GDP/capita http://t.co/yXWbI32VJO 2013/02/23 15:49:41 via web Hans Rosling HansRosling   On one level, of course Dr. Rosling is right that it IS very bad news to find out that there has been no reduction in child mortality in Gabon in 10 years. What I find just as tragic, though, is the…

DataDyne at TEDx Austin video

Joel Selanikio ON 19 February 2013

As promised in my last posting, here’s the video from TEDx Austin: Those without access to YouTube can view and download the video file here (46MB).  

DataDyne at TEDx Austin 2013

Joel Selanikio ON 11 February 2013

I was very pleased to be invited to speak about mobile data collection and global health at TEDx Austin last weekend. A wonderful experience, a very receptive audience, and hopefully another way of getting the word out about Magpi. My talk, which we will post as soon as the video is made available available here, centered on the path we’ve taken at DataDyne over the years to really identify and overcome obstacles to getting better data for health and other programs. A major component of that was, and still is, our…

DataDyne Video Interview: Stressing Affordable Technology

Joel Selanikio ON 15 October 2012

I was pleased to attend the recent USAID-funded Global Youth Economic Conference here in Washington, DC. After my session, I got to speak with the people at Microlinks (which “aims to extend and multiply the impact of the learning and innovation developed through microenterprise research and practice”) about the impact of the mobile phone and the importance of truly affordable technology. As I discuss in the video interview, if you have development technology that costs hundreds of thousands of dollars, or even millions, that severely limits the number of “experiments” that…