Social Media Marketing Strategies

In this special year-end collaboration, TED and The Huffington Post are excited to count down 18 great ideas of 2011, featuring the full TEDTalk with original blog posts that we think...

#11 in this series of 18 - Enjoy

#13 of 18 in a series - Watch Naomi Klein's amazing TEDTalk on our addiction to risk and its consequences ... then read TED's Tom Rielly, below, as he writes about a project from a TED Fellow that shows us a new way to approach oil spills -- and take responsibility for risks.

The Fourth Video in this series of 18 - In fact, the statistics are sobering. After the U.S. Department of Transportation recorded 32,788 traffic fatalities in 2010, Secretary of Transportation Ray LaHood referred to distracted driving as "a deadly epidemic."

Second [Video]

Regret, in other words, is the best worst feeling. It serves as a rich source of information about ourselves: about what we value, what we want most in life, how we believe we should act, and who we hope to be. The philosopher Avishai Margalit once pointed out that the smallest possible moral community consists of one's current self and one's future self.

TED Talks iPad storyteller Joe Sabia introduces us to Lothar Meggendorfer, who created a bold technology for storytelling: the pop-up book.

In this special year-end collaboration, TED and The Huffington Post are excited to count down 18 great ideas of 2011, featuring the full TEDTalk with original blog posts that we think.

#12 in this series - Watch Graham Hill's talk on editing one's life for more time, freedom, and happiness...then read David Friedlander, below, as he writes about the LifeEdited project and the "luxury of less".

Watch researcher, writer and advocate Rebecca MacKinnon's TEDTalk above and then explore her thoughts in this companion essay.

#14 video of 18...

The Third in a series of 18 collaberative works with Huffington Post & TED

The juxtaposition of child language research and social TV analytics may seem jarring. But in fact the same basic principles are at play: linking language to context; studying communication feedback loops; gathering (lots of) observational data in the wild; using data visualization to see patterns in the data; and developing machine learning to model, predict, and -- ultimately -- shed light on how people communicate.

First video in a series of 18

Genetic Algorithms.

To oversimplify, genetic algorithms (GAs) are a special type of algorithmic analysis. A friend explained it this way: Let's say you were running one to figure out the optimal shape for the wing of an airplane. You have some variables: size, weight, material, shape, for example, and you have criteria for their effects: fuel consumption, wind drag, speed, and so on.