
ON-GOING RESEARCH
Artificial Intelligence & COVID-19
Artificial intelligence (AI) and the current pandemic are both introducing huge changes and uncertainties. Both require collaboration across science and society to navigate the issues and create effective technology and solutions. In a few projects, I'm examining Americans' opinions on view artificial intelligence (AI) applications across a wide-range of applications, especially in health contexts and for addressing the COVID-19 pandemic. Some of this work involves creating nationally representative surveys and focus groups. I'm also studying how news in the U.S. and China covers COVID-19, from what topics news focuses on and who gets blamed in for negative outcomes related to the pandemic or credited with bringing about positive outcomes.
Deference & decision-making on science
Discussions in society about science and risk issues like AI and gene editing still tend to treat these issues as if they mainly about solving science problems -- and focus less on all the value-based and ethical issues connected to how we develop and use those technologies. In this project, I'm studying, how do people view "science" broadly and science-related issues? And what does this mean for who they think should have a say in policy-making on those issues? In particular, this project focuses on how we can better understand people's views of science in society. With these, I'm interested how we can communicate and have democratic decision-making about science and technology issues -- and their risks and potential benefits -- across those different viewpoints.