Some Principles
- The Observer Effect
- Technology is not IT (in the Jack Kerouac sense of the word)
- Data Collection close to the ground
- Open Data
- Decentralized
- Full Spectrum
The Observer Effect
- We live behind our eyes
- We cannot deny our presence as an actor in our work
- We cannot abstract ourselves from the process of evaluation
- This is a good thing...
- ...It gives us the opportunity to consciously define our daily work environment to capture the activity that informs our mission.
Technology is not IT (in the Jack Kerouac sense of the word)
- If I need shelter, I may build a house
- My need for shelter is not a justification for the use of a hammer
- My needs, as clearly associated with technological solutions as they may seem to be, do not inherently justify the use of technology
- It is easy to assume a technological solution because technology is perceived as being magical.
- Equating technology to solution is a way to abdicate our responsibility
Data Collection close to the ground
- Data collection must happen inside the context of increasing organizational efficacy
- It must be transactional and incidental
- Data collection IS NOT measurement
- Measurement cannot happen without good data
- Measurement is critical to health and to results
Open Data
- We must democratize insight
- Protecting data is stupid
- It begins with the assumption that you are the only one with the capacity or the privilege to have insight
- It is assumes that only I am relevant enough to be wrong
- The Long Tail
- To be useful in aggregate, data must be:
- Anonymized but resonant
- Well labeled
Decentralized
- Data Aggregation is not Analysis (See Open Access Principle)
- Individualized Flexibility and Global Alignment are not mutually exclusive
- Human agreement is more important than technical integration
- Ownership is consciously both personal and communal
- Technical concepts/design
- Classifying and categorizing - Tagging / Taxonomies / Ontologies
- XML - universal, flexible system for including meta-information about data
- Web 2.0 - Facilitating innovation at the edges of the network
Full Spectrum
- It is necessary to respect the entirety of the change framework that we are applying by creating indicators, indexes and tasks that map back to the framework.
- Immediate Causes - Transactions
- System Causes - Systems and Social Justice
- Underlying Causes - Transformational Leadership and Social Justice
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