Decarbonize with Big Data

Originally aired October 21, 2021

Data science is emerging as a powerful tool in the fight against climate change — from tracking urban energy consumption to modeling complex socioeconomic systems. This panel explores how researchers are harnessing big data and computational social science to understand the root drivers of carbon emissions, identify actionable interventions, and move toward a decarbonized economy.

Speakers

Bill Brandt (Moderator)

Senior Research Professional, Global Institute of Sustainability and Innovation, ASU

Bill Brandt is a Senior Research Professional at Arizona State University’s Global Institute of Sustainability and Innovation. His work focuses on the intersection of data science, sustainability, and urban systems, supporting interdisciplinary research efforts that translate complex data into actionable policy insights.

Timothy Slaper

Director, Indiana Business Research Center, Indiana University Kelley School of Business

Timothy Slaper directs the Indiana Business Research Center at Indiana University’s Kelley School of Business, where he leads research on regional economic development, data-driven policy, and sustainability metrics. He is known for developing economic impact models and accessible data tools used by policymakers and businesses across the state.

Shade Shutters

Senior Sustainability Scientist, Global Institute of Sustainability and Innovation, ASU

Shade Shutters is a Senior Sustainability Scientist at ASU’s Global Institute of Sustainability and Innovation. His research applies computational and complex systems approaches to understand urban economies, labor markets, and sustainability transitions — helping cities identify strategies for equitable and low-carbon economic development.

Michael Simeone

Director, Data Science and Analytics, University Technology Office, ASU

Michael Simeone directs Data Science and Analytics within ASU’s University Technology Office, where he leads efforts to develop responsible data science infrastructure and practices. His research examines how institutions can use data analytics to support complex decision-making while addressing questions of ethics, transparency, and equity.

Pavan Turaga

Professor, School of Arts, Media and Engineering & School of Electrical, Computer and Energy Engineering, ASU

Pavan Turaga is a Professor at Arizona State University with joint appointments in the Schools of Arts, Media and Engineering and Electrical, Computer and Energy Engineering. His research spans machine learning, signal processing, and human behavior modeling, with applications in smart infrastructure, health, and sustainability.