Integrating Computer Science in Science: Considerations for Scale. - Ari Krakowski; Eric Greenwald; Jake Duke; Meghan Comstock; Natalie Roman (ICLS, 2020)

Coding Science Internships: Broadening Participation in Computer Science by Positioning Coding as a Tool for Doing Science. - Eric Greenwald; Ari Krakowski (SIGCSE, 2020)

A Typology of Models for Integrating Computational Thinking in Science (CT+S). - Ari Krakowski; Eric Greenwald; Meghan Comstock; Natalie Roman; Jacob Duke (RESPECT, 2021)

Authentic Integration of Ethics and AI through Sociotechnical, Problem-Based Learning. - Ari Krakowski; Eric Greenwald; Timothy Hurt; Brandie Nonnecke; Matthew A. Cannady (AAAI, 2022)

"That's What Science Is, All This Data: " Coding Data Visualizations in Middle School Science Classrooms. - Ari Krakowski; Eric Greenwald; Natalie Roman (SIGCSE (1), 2022)

Toward a Virtual Human Exhibit for Public AI Education. - Ning Wang 046; Timothy Hurt; Ari Krakowski; Eric Greenwald; Omkar Masur; Boxi Fu; Chirag Merchent (ICCE, 2023)

It's like I'm the AI: Youth Sensemaking About AI through Metacognitive Embodiment. - Eric Greenwald; Ari Krakowski; Timothy Hurt; Kelly Grindstaff; Ning Wang 046 (IDC, 2024)

Virtually Human: An Exhibit for Public AI Education. - Ning Wang 046; Timothy Hurt; Ari Krakowski; Eric Greenwald; Jim Hammerman; Sabrina de Los Santos; Omkar Masur; Boxi Fu; Chirag Merchant (HCI (67), 2025)

Integrating Ethics into AI Learning: A Socio-Technical Approach for Youth Education. - Megumi Tanaka; Naima Amraan; Timothy Hurt; Eric Greenwald; Ari Krakowski; Aujanee Young; Mac Cannady (SIGCSE (2), 2025)