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- Steve Magennis
- Carly Huitema
- P Subrahmanyam
- Eric Drury
- Phil Wolff
- Trinh Nguyen
- Erran Carmel
- Steven Milstein
- Richard's iPad
Agenda Items
Welcome & New Member Introductions
Q1 Recap
Community Input & Discussion
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Welcome & Introductions
- Notes
Q1 Recap
Inputs.
Speakers.
- YouTube Channel w/ EFWG Presenter Series: https://www.youtube.com/channel/UC7gD2mHX_AXzkTHelj2nYEA
- Riley Hughes
- Risk, Standards Paralysis, UX/UI, Governance were top four challenges of the ten.
- MVG
- “Minimum Viable Governance" is an interesting and perhaps contentious topic (viable being the key concept to ponder). The unstated part is the effort to understand and articulate what 'minimum' . Means in a particular context - this is tough. It seems to fit with agile development - iterate on building. MVG = Lean Governance = governance that supports the functionality of the system for the users in either achieving the objectives of the parties within the ecosystem, OR managing risks to them achieving those objectives. Governance as product & code vs governance as documentation. Concern: “MVG" in the Agile construct is that governance is a difficult item to "fail early, fail often” test with iterations. Governance is also risk management and mitigation - and not just about how democracy exists in the system being governed
- Accenture
- Adoption was wherever Accenture already had clients?
- The Accenture presentation was significant in terms of how the adoption was presented in terms of large sector adoption - probably because of multipliers of network effects happen better and to scale
- timing: Is governance developed as you start to notice challenges too late or at the right time? Equally, risks, functionality and context change all the time, governance needs to be able to adapt and develop in response to that.
- it seems like ecosystem boundaries change and depend on who is looking at the ecosystem.
- Disturbance. Governance failure has the potential for large downside, but of course not every failure in governance results in large downsides - understanding where 'thar be dragons' IMHO is the key. Governance in these systems consists of a human-controlled governance and algorithmic governance. One big and most challenging part of governance is the "evolving governance" aka the governance when things change or in crisis (like the DAO hack incident in 2016).
Community Input & Discussion
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