Paul G. Allen School Courses

Open the Paths - Translating Experiences to Data

Explore innovative methods for converting real-world experiences into meaningful data, enhancing decision-making and problem-solving across various fields and industries.

• YouTube
• 1 hour 43 minutes
• Self-Paced
• Free Video

Connected by Transit - The Future of Community Access

Explore the future of community access through transit, focusing on disability rights and inclusive transportation solutions for all.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Amazon India Commute On-Demand Review

Explore innovative solutions for urban mobility challenges in India, focusing on Amazon's on-demand commute program and its impact on traffic congestion and employee satisfaction.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Open the Paths: Washington Data for On-Demand Transit - Advancing GTFS-Flex

Explore advancements in GTFS-Flex for on-demand transit data in Washington State, featuring insights from Find a Ride, Hopelink, and the Washington State Department of Transportation.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Open the Paths: A Collaborative Approach to Building Pedestrian Data

Explore collaborative methods for creating comprehensive pedestrian data, enhancing urban mobility and accessibility through innovative mapping techniques.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Open the Paths - On-Demand Transit Coordinator Experience Panel

Explore on-demand transit coordination through expert insights, discussing challenges, innovations, and best practices in improving accessibility and efficiency of public transportation systems.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Open the Paths - Coordinating Cross-County Transportation Options: ST3's Hidden Imperative

Explore innovative strategies for coordinating cross-county transportation, focusing on ST3's hidden imperative and its impact on regional mobility and accessibility.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

The Challenges of Training Infinitely Large Neural Networks

Explore challenges in training infinitely large neural networks, including feature learning incorporation and scaling kernel machines to large datasets, with Professor Mikhail Belkin.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Computational Methods for Human Networks and High-Stakes Decisions

Computational methods for analyzing human networks and their impact on high-stakes decisions, focusing on COVID-19 pandemic response, political polarization, and supply chain resilience.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Inverse RL in Real Life: Lessons Learned in Google Maps - 2024 Winter Robotics Colloquium

Insights on scaling Inverse Reinforcement Learning for Google Maps, discussing challenges, trade-offs, and a new method that improved route quality by 16-24% in real-world applications.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

A Data-Driven Future for Atmospheric Chemistry, Wildfires, Climate, and Society

Explore data-driven approaches in atmospheric science, focusing on ML models for global chemistry, air pollution sensor networks, and prescribed fire modeling to address climate change and wildfires.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Advancing Weather and Climate Prediction with Data-Driven Methods

Exploring machine learning's transformative role in weather and climate prediction, enhancing forecast accuracy, facilitating scientific discovery, and revolutionizing atmospheric science methodologies.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Content Curation in Online Platforms - Impact and Improvement Strategies

Explore the impact of content curation on online platforms, examining moderation practices, user behavior, and the potential of academic research to guide policy and improve digital experiences.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Data-Driven Fine Manipulation in Robotics - 2024 Winter Robotics Colloquium

Data-driven approaches for fine manipulation in robotics, enhancing precision and adaptability. Research focuses on empowering general-purpose hardware systems to automate delicate tasks using imitation learning and reinforcement learning techniques.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Generalizing Outside the Training Distribution through Compositional Generation

Explore compositional generative modeling for AI generalization beyond training data, enabling complex planning and decision-making in unseen tasks and environments.

• YouTube
• 59 minutes
• Self-Paced
• Free Video