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Stanford Seminar: Computational Ecosystems

Offered By: Stanford University via YouTube

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Computer Science Courses Conflict Resolution Courses Crowdsourcing Courses Systems Thinking Courses

Course Description

Overview

Explore a Stanford seminar on computational ecosystems and their role in advancing human-computer interaction. Delve into the concept of systems thinking in HCI and discover how integrative solutions can address complex challenges. Learn about community-informed planning through the Cobi project, which engages entire communities in collaborative processes. Examine the Agile Research Studio (ARS) as a computational ecosystem for developing regulation skills and scaling faculty time. Investigate ecosystem-level architectures, on-the-go crowdsourcing, and readily available learning experiences. Reflect on the role of technology in advancing human values at scale and the potential compromises that come with scaling. Gain insights from the Delta Lab's research on computational ecosystems and their applications in various domains.

Syllabus

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.


Taught by

Stanford Online

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