Tuesday, May 3, 2011

Evaluating Analytic Methods: What Counts? What Should Count? (Global Intelligence Forum)

About a week ago, I highlighted the upcoming Global Intelligence Forum and stated that one of the things I liked most about this conference was the opportunity, indeed, the inevitability of meeting interesting people working outside one's own area of expertise.

A really good example of this was Dr. Justine Schober, a pediatric urologist, who lectured the crowd last year on the the problems the medical profession had in analyzing  intersexuality (I'll let you look it up...).

I will be honest with you:  Justine's presentation was not what the crowd was expecting (...to say the least).

As I listened, however, to her description of the mistakes that doctors had made in this field, how bias and tradition had allowed these mistakes to continue for decades, and how much effort it had taken to begin to understand, analyze and rectify these errors, I realized just how much her profession and my profession have in common. 

Evaluating Medical Practice -- Pyramid of Evidence
One of her most useful slides was a simple pyramid (See picture to the right) that highlighted the kinds of evidence doctors use to validate their methods and approaches to various diseases and disorders.  Evidence at the bottom of the pyramid is obviously less valuable to doctors than evidence at the top, but all of this evidence counts in one way or another. 

This led me, in turn, to think about how we in intelligence evaluate analytic methods.  There appears to me to be two strong schools of thought.  In the first are such notables as Sherman Kent and other long time members of the intelligence community who write about how difficult it is to establish "batting averages" for intelligence estimates in general, much less for particular methods.

The other school of thought (of which I am a member) emphasizes rigorous testing of analytic methods under realistic conditions to see which are more likely to improve forecasting accuracy and under which conditions.  The recent National Research Council report, Intelligence Analysis For Tomorrow, seems to strongly support this point of view as well.

My colleague, Steve Marrin, has often pointed out in our discussions (and probably in print somewhere as well -- he is nothing if not prolific), that this is a false dichotomy, an approach that presents intelligence professionals with only extreme choices and so is not a very useful guide to action.

Justine's chart made me think the same thing.  In short, it seems foolish to focus exclusively at either the top or the bottom of the evidence hierarchy.  What makes more sense is to climb the damn pyramid! 

What do I mean?  Well, first, I think it is important to imagine what such a pyramid might look like for intelligence professionals.  You can take a look at my own first cut at it below.

Evaluating Intelligence Methods -- Pyramid of Evidence
Ideally, we should be able to select an analytic method and then match the relevant evidence, such as it is, with that method. This, in turn, allows us to know how much faith we should put in the method in question and what kind of studies might be most useful in either confirming or denying the value of the method and under what circumstances.

Examined from this perspective, there are many, many useful and simple kinds of studies intelligence professionals at all levels and in all areas of the intelligence discipline can do to make a difference in the field and, more importantly, many of these kinds of studies are tailor-made for the growing number of intel studies students in the US and elsewhere. 

Friday, April 29, 2011

Intel Deathmatch II: Who Will "Win" In Libya? (Swayable.com)

OK...so that was fun!

If you missed Wednesday's post, we (me and about 250 readers) have been playing around with a new web/iPhone gadget called Swayable here at SAM.

The simple but brilliantly executed idea behind this tool is to get people in your social network to help you decide between two competing options. While much of the action on the Swayable site seems to center on which picture of Justin Bieber is "cutest", I decided to test it out on something which might be of a bit more interest to intelligence professionals.

Specifically, I wanted to know which of two classic intel texts should I read first (assuming I only had time to read one), Lowenthal or Clark. As of a few minutes ago, it was a dead heat (though, to be fair, Lowenthal has led for most of the last 48 hours by a slight but noticeable margin).

Today, I thought I would push the outside of Swayable's envelope once again. Here are a few more substantial questions for you. First, I want to know who is going to "win" in Libya (you can define winning any way you want):





Second, I want to know, if the pro-Gaddafi forces win, what will be the primary reason for the victory:





Finally, I want to know, if the Anti-Gaddafi forces win, with whom will they primarily align themselves after the conflict is over:





A couple of questions and comments have also come up about the service that I think are worth noting here.

First, I can't see who voted which way. All I can see is what you can see. Second, it is possible to preview the results before you cast your vote only on the web-based version of the tool. On the iPhone version, this feature is disabled.

I have had a few very kind emails from the founder of Swayable, Lindsey Harper, and she intends to run some tests to see how hiding the results before the vote would work on the web app as well.

Finally, she indicated that she plans to have an Android version out by summer!

Wednesday, April 27, 2011

Intel Deathmatch: Who Do You Read First, Clark Or Lowenthal? (Swayable)

A new online service just came out called "Swayable". 

Given that its primary focus is as an iPhone app, it seems to be designed to help people answer those burning questions while on the move such as which shoes should I buy or which dish should I order off a Chinese menu.  

However, I can see some very interesting unconventional uses for something like this, particularly with respect to intelligence in business.

So ... let's try it out. Both of the books below are great and both are "must reads" for intel professionals.  However, imagine you only have time to read one of them. Which one do you choose first?


Monday, April 25, 2011

What Do Decisionmakers Want From Intelligence? (Global Intelligence Forum)

globalintelligenceforum.com
One of the most important questions any intelligence professional can ask is "What do the decisionmakers I support want from me?"  Historically, it is also one of the most difficult questions to answer.

That is the reason why the faculty at Mercyhurst nominated Intelligence and the Decisionmaker as the theme for this year's Global Intelligence Forum in Dungarvan, Ireland (July 11-13, 2011).

Looking at the line-up of speakers -- GEN Mike Hayden, Charlie Allen, Hayden Peake from the US, Kathleen O'Toole from Ireland, Anthony Campbell from Canada, Niki Ekman from Sweden, Cees Wiebes from the Netherlands, etc. etc. -- and it easy to see why I think we are going to make some progress on this question.

Two other things make this conference one of a kind.  The first is the attendees.  This conference draws people from all three major sub-disciplines of intelligence:  National security, law enforcement and business.  Not only does it draw people from all areas of intelligence, it also draws people from all over the world.  

So you are going to see guys like Tom Carr, the executive director of the Washington Baltimore High Intensity Drug Trafficking Area program rubbing shoulders with Liam Fahey, founder and executive director of the Intelligence Leadership Forum, the organization for senior corporate intelligence professionals.  

There is simply no other conference that brings together this kind of mix of professionals for this kind of conference.  Everyone I spoke with last year took as much away from the interaction between the participants as they did from the speakers.

Which is a nice segue to the second big advantage:  Dungarvan.  What a beautiful place!  Located on the southern Irish coast in the midst of one of the prettiest parts of Ireland, Dungarvan is a perfect place for mixing, making new personal and professional relationships and carving out some time to think about some of the important questions facing the profession.  Extraordinary hospitality, simple pleasures and (my personal favorite) an outstanding local beer make this event both physically relaxing and intellectually energizing. 

We had to turn away people last year so this year we found a larger space and have expanded to 200 (and only 200) attendees.  

Registration and more info about the conference is available online here.  We are also offering two, one day workshops to round out the week. More information on the workshops here.

Questions regarding sponsorship opportunities for your company or organization should be directed to Bob Heibel, Executive Director of the Mercyhurst College Institute For Intelligence Studies at rheibel at mercyhurst dot edu.
Enhanced by Zemanta

Friday, April 15, 2011

Extremely Cool Predictive Analytics On House Prices (Trulia.com via Information Aesthetics)

http://explore.trulia.com/datavis/priceredux/Q1-2011/
One of my favorite data visualization blogs, Information Aesthetics, is featuring a new interactive map from the real estate site, Trulia.com, that should get anyone in the market for a new home (or who is selling their old one) pretty excited.

The map (and I have included a screenshot of the DC area to the right) evaluates recent home sales on a zip code by zip code basis to let you know:
  • How many days a house was on the market before there was a price reduction?
  • What was the average percent reduction?
  • What are the odds of a second reduction?
The data set currently covers most of the US and all of the densely populated areas of the US.

Talk about actionable intel!

While this information is very useful, I hope that Trulia will work to improve the map. For example, I wonder why they decided to use zip codes instead of census tracts (which would have allowed for much finer grain analysis)?

It also makes me wonder how the Paradox of Warning will impact Trulia's product and the buyers and sellers who use it?
http://www.fas.org/irp/doddir/dod/jp2_0.pdf