Is your face your calling card?

Many books include pictures of the author on the back cover or inside the jacket. That is one thing I never bother to check when considering whether or not I want to read a book.  I  still don't really think about the author's appearance as I read. And I don't really think about my own as I write. 

I use a quill for my signature picture here, as well as on my other blogs. It also serves as  my profile photo  on Facebook, Google+ and Twitter. I feel it conveys what I am about more accurately -- in terms of my role as writer - than my photo would. Or maybe I'm just camera-shy.

On  the other hand, my actual photo does serve as my profile picture for the UBM boards on which I write. The policy there, as it is for many newspapers, is to require a photo for the writers. Those who comment only and don't blog can get away with using any picture they like for their profile photo or just use the default picture if they don't bother to upload one of their own. 

Once I had my picture posted in that way, I put it in for my LinkedIn profile, as well. It seemed more consistent to have the same picture represent me there. Also the more standard practice on LI is to use an actual photo than a representational picture.  I still can't see attaching a photo to a resume, though anyone who wishes to find my photo simply has to do an online search to find one in a fraction of a second.

While the net dooes tend to attach author faces to content,  I don't believe I am more drawn to articles that feature faces.I must be  in the minority, though, because I'm certain that those who demand faces find that they are effective at drawing more audience interest. 

. What do you think about  the face as calling card?

Inhalers that do more than dispense medication

Louisville, one of IBM's 100 selected selected cities is putting big data to work to track asthma triggers with Asthmapolis. Read about it in

Big Data's Next Target: Asthma

  

Big Data Health Hazards

If anything can go wrong, it will." Murphy's Law (or Sod's Law, as it is known in the UK) applies to big data projects, as well. When those projects concern someone's health, something going wrong in the data can lead to something going very wrong with the patient.

The more one relies on the accuracy of the system, the higher the potential for error. Electronic health records (EHRs) are considered a boon to data aggregation, but they hold a potential downside.  Read more here

Big Data and Cancer Research

That's the subject of my post Big Data Battles Cancer.  For a completely different take on cancer, see Beyond Pink.

Big Data Applied to Health

I've written several pieces on the topic from various angles:

On how cell phone data is used to map the spread of Malaria in order to come up with effective prevention in Africa Analyzing Cellphone Data for the Greater Good

On Retrofit's approach: Data Gets Personal to Fight Obesity

On UPMC $10 million dollar big data plan: Creating Custom-Fit Healthcare

Dial a data scientist

well, not exactly, but you can find one you can hire with Kaggle's new feature. Read more about it in my blog post: 

Top Data Scientists on Tap

Big data for voters

 Hurricane Sandy cut a devastating path through the Northeast, and many people are still without electricity, fuel, or shelter. They still had the right to vote, but what were they to do if their usual polling place was knocked out of commission? To find out where they should go, they were able to find answers in big data. Read more in Big-Data to Get Out the Vote

Thoughts on the Human Face of Big Data

See my blog post on the brand new board, Big Data Republic, Predicting People's Participation in a Big-Data Project

What do you think of pink?

Do you automatically buy anything that allies itself with "the cause?" There are reasons to think rather than blindly support all that is dressed in pink as discussed in http://uncommoncontent.blogspot.com/2012/10/beyond-pink.html

Predictive analytics for relationships

That's at the heart of Dr. John Gottman's approach, which he expands on in his latest book, What Makes Love Last? How to Build Trust and Avoid Betrayal. I wrote about that book  here.

I've written about his earlier work in several posts:

The ultimate marriage manual

 and the 4 part Marriage success between two earthlings 

Snoopy and Ozick: find out what they have in common

That's one of the cartoons featured in http://uncommoncontent.blogspot.com/2012/09/what-do-cynthia-ozick-and-snoopy-have.html

What would you include to represent 100 years of childhood?

See http://uncommoncontent.blogspot.com/2012/09/representing-100-years-of-childhood.html for thoughts on the MoMA's exhibit.

You can get your own Facebook Report

just bring along the salt shaker Read Your Personal Social Data, Visualized to understand why a few grains may be necessary when reviewing your stats.

IT and business don't always agree on big data

Not all decision makers within an organization are on the same page with respect to big data plans. The disparity is due to the different perspectives of the business and IT end of the organizations.

Read more: IT, business have different views on data - FierceBigData 

Analysis in light of the Pareto Principle

Many businesses who are not getting as much utility out of big data as they would like identify the source of the problem as their inadequate hardware, and inadequate finances. However, in a Smart Data Collective post, Paige Roberts argues that it's not the hardware, but the software that's to blame.

"Investing in better utilization of existing hardware is a far better, more sustainable, and cost-effective solution" for businesses who find their current setups inadequate. Roberts points to the inefficiency built into current "utilization rates of hardware [that] are around 15 percent worldwide." Even the most efficient data centers max out at only 20 percent, meaning that 80 percent is untapped.

Do those numbers ring a bell?

Read more: What's the real problem with the hardware? - FierceBigData