Stanford CS547 HCI Seminar | Winter 2026 | Computational Ecosystems

| Podcasts | April 10, 2026 | 1.83 Thousand views | 1:01:51

TL;DR

The speaker argues that to solve persistent human problems in HCI, designers must move beyond building better tools and instead critically reimagine entire socio-technical ecosystems. Through examples in event planning, crowdsourcing, social connection, and education, he demonstrates how redesigning human practices—what he terms "critical technical practice"—can unlock values that pure technological advancement has failed to address.

💭 Critical Technical Practice 3 insights

Fundamental limitations of current approaches

Despite decades of computing advances, persistent human problems like effective student mentoring remain unsolved because the socio-technical practices themselves are broken, not just the supporting tools.

Redesign ecosystems, not just artifacts

True innovation requires reimagining entire socio-technical configurations and workflows rather than simply building better optimizers or interfaces.

Reflection as methodology

Drawing on Philip Agre's concept of "critical technical practice," designers must engage in ongoing reflection on their values and the inherent limitations of how they currently work.

🤝 Collective Coordination 3 insights

Community-informed event planning

By engaging over 1,500 community members to source preferences and constraints, a new mixed-initiative approach reduced academic conference planning time by more than an order of magnitude while resolving hundreds of hidden conflicts.

Flexible crowd coordination

The "Hit or Wait" system applies decision theory to ping volunteers opportunistically based on their location and convenience, achieving near-optimal outcomes for local services like lost-and-found without rigid directives or chaotic volunteerism.

Listening for opportunities

Effective coordination requires listening for when contributions align with both individual convenience and collective goals rather than enforcing predetermined workflows.

🌱 Connection and Learning 3 insights

Opportunistic Collective Experiences

OCEs replace passive social media scrolling with context-aware shared activities, proving as connecting as direct messaging but with lower initiation barriers and enabling novel experiences like synchronized sunset watching across time zones.

Learning from professional code

The Isopleth tool transforms complex professional websites into interactive learning resources, allowing novice developers to learn directly from production code rather than simplified tutorials.

Technology as expression of care

These redesigned ecosystems empower users to express care—whether shaping conferences, helping neighbors, or maintaining distant friendships—by creating new human practices rather than merely adding features.

Bottom Line

Advance human values by critically reimagining entire socio-technical ecosystems and human practices rather than incrementally improving existing technologies.

More from Stanford Online

View all
Stanford Robotics Seminar ENGR319 | Spring 2026 | Towards Trustworthy Autonomy
34:35
Stanford Online Stanford Online

Stanford Robotics Seminar ENGR319 | Spring 2026 | Towards Trustworthy Autonomy

As learning-based robotics deploy at scale—exemplified by Waymo's 500,000 weekly rides—they face dangerous 'semantic anomalies' where context causes system-level confusion rather than visual novelty. The speaker presents a 'fast and slow' reasoning framework using lightweight embedding models for real-time detection and large language models for safety interventions, enabling trustworthy autonomy without requiring perfect prediction models.

5 days ago · 9 points
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Building AI Factories
49:48
Stanford Online Stanford Online

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Building AI Factories

Crusoe Energy CEO Chase Lockmiller explains how AI data centers represent history's second-largest infrastructure investment, driven by the economic potential of scalable 'digital labor.' He reveals Crusoe's strategy of building massive AI factories in stranded-power locations like Abilene, Texas, to overcome the industry's critical bottleneck: energized data center capacity.

25 days ago · 9 points