Reference: Intelligence Reform Death Notice

10 Security, Analysis, Budgets & Funding, Commissions, DHS, Director of National Intelligence et al (IC), DoD, Ethics, Government, Hill Letters & Testimony, Law Enforcement, Legislation, Methods & Process, Military, Peace Intelligence, Policy, Reform, Strategy, Threats
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Phi Beta Iota: With a tip of the hat to Marcus Aurelius, this document is provided for information.  On balance it is rich with insights that are not available elsewhere and consequently must be very highly regarded as a baseline for where US intelligence reform (and US intelligence) are today: dead, with a $75 billion a year casket that shows no signs of atrophy.  Below are summary extracts both positive and negative.

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Reference: Filtering With Your Network

Blog Wisdom, Collective Intelligence
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In yesterday’s post on Personal Aggregate, Filter & Connect Strategies, I didn’t have room for one key point: one of the key filters to use is your network. When he was in Brisbane last month, George Siemans gave a talk

with an example that illustrated this perfectly.

For the past couple of years, he has run a course on Connectivism with Stephen Downes. Here is the definition of connectivism from Downes:

At its heart, connectivism is the thesis that knowledge is distributed across a network of connections, and therefore that learning consists of the ability to construct and traverse those networks.

As I understand it, one of the points of the course is to present students with so much data that they can’t possibly process or understand all of it as individuals. This forces them to create networks to build data-gathering and sense-making networks in order to succeed. There are more details about networks, connectivism and the course in this excellent presentation from Downes (the presentation also discusses Downes’ framework for building knowledge within complex networks, which consists of Aggregate – Remix – Repurpose – Feed Forward).

Reference: Personal Aggregate, Filter & Connect Strategies

Blog Wisdom, Collective Intelligence, Communities of Practice

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Personal Aggregate, Filter & Connect Strategies

by Jeff Jarvis

A while back my PhD student Sam and I were talking, and he asked me about my RSS feed. His question was something along the lines of ‘what blogs would I have to read if I wanted to be able to make the connections that you do on your blog?’ As we talked, I realised that it didn’t matter if I gave anyone else my exact RSS feed, they wouldn’t be able to replicate my blog – and the reason for this is aggregate, filter and connect.

When I first thought about aggregate, filter and connect as a framework, it was in an attempt to explain why Amazon’s business model worked better than that of other online bookstores. The first time I talked about it in public, it was to explain how open education might work. I’ve been working on making it in to a general model of how we create something unique when we’re primarily dealing with information.

As such, it can be used to explain business models, like Amazon’s, or blogs, like mine. The more I’ve talked about the model, the more other people are picking it up, which is great. Some of these recent discusssions have gotten me thinking about how aggregate, filter and connect works at a personal level. This was really Sam’s question. I’ve talked about how Charles Darwin basically used an aggregate, filter and connect strategy, Phil Long talks about it as part of personal knowledge management, Harold Jarche has discussed it as both a general model for business and for personal knowledge management (an idea that Jack Vinson picked up, and connected to the concept of enhanced serendipity from Ross Dawson), and Glenn Wiebe used the framework to discuss both Joseph Priestly’s inventions and teaching. So we’re starting to get a bit of discussion Today I’d like to illustrate the concept by discussing how I use it.

Phi Beta Iota: Full reading recommended!  These folks are redefining both the meaning and the practice of being in harmony with reality, with others, and with relevant information.