This month, The Data Incubator is hosting another free webinar on data science. This time it features an interview with Jake Porway, founder of DataKind. Jake and DataKind are doing amazing things, so I hope you can check out the webinar.
Below are the webinar details:
Data Science in 30 Minutes: Using Data Science in the Service of Humanity
Abstract: With his non-profit, DataKind, Jake Porway connects data scientists with social causes. Picture Doctors Without Borders for data nerds—with machine learning and AI engineers parachuting in to help the UN with humanitarian tasks, like tracking virus outbreaks using mobile data. “Data is like a bucket of crude oil,” Porway says. “Potentially great, but only if someone knows how to refine it (data scientists) and someone else has vehicles that will run on it (the social sector).” In this talk, Porway discusses the strategies of DataKind, its projects and the future of big data to service humanity.
Once again, I was honored to write a guest post for DataKind. This time is was on the spread of open source software by data-do-gooders. A couple years ago, DataKind hosted a DataDive in Washington D.C. and some of the participants created a mapping software project titled DataTools 2.0. Since then, it has been replicated by a number of groups around the globe. Read the full post on the DataKind blog to find out more.
Sound appealing? Probably not! Unfortunately, this is the sad reality for many children in Sub-Saharan Africa. Even worse, this sad reality is only for those children lucky enough to even attend school. In the world today, there are 58 million out of school children, and 43% of those children will never start attending school.
DataKind hopes to add 3-5 chapters by the end of 2014. A Chapter will be responsible for building relationships between organiztions and data scientists, promoting data science for the social sector, and organizing data events. If you are a skilled data scientist with a passion to change the world, this might be an excellent opportunity. What do you think, are you going to apply?
Kaggle They make data science a sport, enough said.
DataKind DataKind may not technically be a startup because it is a nonprofit, but they are doing cool stuff. They match nonprofit organizations with people that love to analyze data and create visualizations.
Cloudera They call themselves “The Platform for Big Data”. They are working hard to make hadoop easier to use.
Coursera Coursera is an education startup, but with 2 Computer Science Professors as founders, you can bet they are crunching a lot of data about how people learn.
BigML They are trying to make machine learning available to everyone. Machine Learning as a Service!