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Introduction.
Best human solution.
Best machine solution.
Options.
A call for systems: having great components is not enough..
A call for systems thinking in HCI.
Advancing the approach....
Computational ecosystems are systems, designed as integrative solutions.
Rest of the talk.
Challenges for organizers.
Cobi: Community-informed planning.
1. Engage the entire community in the planning process.
Core idea: two-phased collaborative planning process w/ crowds and groups.
Core idea: incentive chaining.
2. Help organizers resolve conflicts.
Core idea: Community-informed mixed-initiative interface.
Computational Ecosystem: Community-Informed Planning.
Students need regulation skills.
Agile Research Studio ARS.
ARS scales faculty time.
ARS is a computational ecosystem for developing regulation skills.
ARS: planning.
Distributed help is not one tool....
Outcomes 3 yrs.
Planning Strategies.
Help & Help-seeking.
Faculty Time: 10-12 hours/week.
Computational Ecosystem: Agile Research Studios.
Regulation skills beyond ARS?.
What's next.
Preview #1: Ecosystem-level architectures.
Example: On-the-go crowdsourcing.
Example: Readily Available Learning Experiences RALE.
a leap: mixed-initiative scaffolds.
Role of technology in advancing human values al scale.
Scaling amplifies compromise.
Delta Lab.
Stanford Online
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