Resilient and Equitable Infrastructure through Data Science
I work on how to protect our cities and communities from extreme events by leveraging data science tools to support policy-makers during emergency events.
Research Projects
COVID-19 Decision Science Support
Throughout the COVID-19 Pandemic, I have collaborated with the USACE Risk and Decision Science Team, FEMA, University of Michigan School of Public Health, and many other state and local partners to support COVID-19 response in New England. As a data analyst, I supported an effort to track the economic and social impacts of public health-related lockdowns. I developed policy tools and co-authored numerous reports on COVID-19 related impacts on household finances, spending, unemployment, food security and internet access indicators.
As vaccinations rolled out, I became the lead data analyst on a project to track vaccination equity across the New England States. I created weekly reports tracking vaccination progress and racial disparities in vaccine access throughout the COVID-19 pandemic. I also developed tools to track geographic disparities in testing and vaccination access at a local level.
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Smart Meters for Equitable Resilience in Civil Infrastructure
Automated metering infrastructure is becoming more and more ubiquitous throughout infrastructure, they can also play a key role in supporting better-informed policies to protect infrastructure. My current work explores how to build resilience to climate change in residential electricity systems by gaining insights into how people use electricity throughout the day.
However, smart metering can also create new risks in the infrastructure system. My work has also explored how introducing internet connectivity to critical infrastructures such as intelligent transportation systems and smart metering can cause systems to be more susceptible to failure.
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Climate Change and Extreme Heat Management
Extreme heat is the deadliest weather-related event in the United States. Unlike many other natural disasters, understanding how extreme heat can impact populations is often difficult because it can present itself in numerous economic and health impacts as a “silent killer” that disproportionately affects the poor, elderly, and minority groups. My recent work has tracked how different municipalities adapted their heat plans to COVID-19 during the summer of 2020. I also am working on creating decision science tools to help plan where cooling centers and other cooling resources may be placed, and creating metrics to help decision-makers understand and mitigate the impacts of extreme heat.
Recent Publications
See full List on my Google Scholar Profile
Ligo AK, Mahoney E, Cegan J, Trump BD, Jin AS, Kitsak M, et al. (2021) Relationship among state reopening policies, health outcomes and economic recovery through first wave of the COVID-19 pandemic in the U.S.. PLoS ONE 16(11): e0260015. https://doi.org/10.1371/journal. pone.0260015
Jin, Andrew S., Benjamin D. Trump, Maureen Golan, William Hynes, Martin Young, and Igor Linkov. "Building resilience will require compromise on efficiency." Nature Energy (2021): 1-3.
Jin, Andrew, and Igor Linkov. "Synthetic Biology Brings New Challenges to Managing Biosecurity and Biosafety." Emerging Threats of Synthetic Biology and Biotechnology. Springer, Dordrecht, 2021. 117-129.
Marchese, Dayton, Andrew Jin, Cate Fox-Lent, and Igor Linkov. "Resilience for smart water systems." Journal of Water Resources Planning and Management 146, no. 1 (2020): 02519002.
Ganin, Alexander A., Avi C. Mersky, Andrew S. Jin, Maksim Kitsak, Jeffrey M. Keisler, and Igor Linkov. "Resilience in intelligent transportation systems (ITS)." Transportation Research Part C: Emerging Technologies 100 (2019): 318-329.
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Education
University of Southern California
PhD Candidate in Civil Engineering
Expected Graduation: May 2024
Advised by Assoc. Prof. Kelly T. Sanders
University of Southern California
M.S. in Applied Data Science, May 2022
University of California Berkeley
B.S. Environmental Engineering Science, May 2019