Artist / Concept and Direction: Jiayi Young
Political Science Advisor: Amber Boydstun
Engineering: Scott Gong, Taha Bouchoucha, Zhi Ding
Data Consultation: Luca Hammer, Shih-Wen Young
Message Campaign: Olivia Kotlarek (Creative Direction), Gale Okumura (Advisor)
Jiayi Young, Associate Professor, Department of Design, UC Davis
Young creates large-scale installations, permanent and temporary public artworks. Her inquiries lie within the emergent and experimental field of digital media with an emphasis on the cross-disciplinary areas of design that integrate the arts and the sciences with cutting-edge technology. Her current research and creative work are focused on constructing data-driven interfaces, installations, real-time projection graphics, participatory performances, and immersive environments in cultural and public places with a goal of creating generative energy to engage the public in social dialogue.
Amber Boydstun, Professor, Chancellor's Fellow, Department of Political Science, UC Davis
Boydstun's research examines the interaction between media and politics, with a focus on how different media portrayals of the same policy issue can prompt citizens and policymakers to respond to that issue in different ways. She uses lab experiments, large-scale media studies, and manual and computational text analysis to study how issues make the news, the dynamics of "media storms," and how media coverage can shape public opinion about policy issues.
Zhi Ding, Professor, Electrical and Computer Engineering, UC Davis
Ding's research covers a broad range of signal processing, statistical analysis, and communication problems, including wireless networking, signal processing, detection and estimation, machine learning, robust interference detection, and filter designs. He has published over 400 refereed papers and book chapters. He has supervised over 25 Ph.D. graduates and many M.S. students on various subjects of signal processing and analysis.
Scott(Shouliang) Gong, M.S. Candidate, Electrical and Computer Engineering, UC Davis
Scott’s research involves data analysis and signal processing, including automatic modulation classification with deep learning. He is also interested in software engineering, including computer security and data visualization.
Political Science Advisor: Amber Boydstun
Engineering: Scott Gong, Taha Bouchoucha, Zhi Ding
Data Consultation: Luca Hammer, Shih-Wen Young
Message Campaign: Olivia Kotlarek (Creative Direction), Gale Okumura (Advisor)
Jiayi Young, Associate Professor, Department of Design, UC Davis
Young creates large-scale installations, permanent and temporary public artworks. Her inquiries lie within the emergent and experimental field of digital media with an emphasis on the cross-disciplinary areas of design that integrate the arts and the sciences with cutting-edge technology. Her current research and creative work are focused on constructing data-driven interfaces, installations, real-time projection graphics, participatory performances, and immersive environments in cultural and public places with a goal of creating generative energy to engage the public in social dialogue.
Amber Boydstun, Professor, Chancellor's Fellow, Department of Political Science, UC Davis
Boydstun's research examines the interaction between media and politics, with a focus on how different media portrayals of the same policy issue can prompt citizens and policymakers to respond to that issue in different ways. She uses lab experiments, large-scale media studies, and manual and computational text analysis to study how issues make the news, the dynamics of "media storms," and how media coverage can shape public opinion about policy issues.
Zhi Ding, Professor, Electrical and Computer Engineering, UC Davis
Ding's research covers a broad range of signal processing, statistical analysis, and communication problems, including wireless networking, signal processing, detection and estimation, machine learning, robust interference detection, and filter designs. He has published over 400 refereed papers and book chapters. He has supervised over 25 Ph.D. graduates and many M.S. students on various subjects of signal processing and analysis.
Scott(Shouliang) Gong, M.S. Candidate, Electrical and Computer Engineering, UC Davis
Scott’s research involves data analysis and signal processing, including automatic modulation classification with deep learning. He is also interested in software engineering, including computer security and data visualization.
