Juniper Lovato
Assistant Professor, Department of Computer Science
PRONOUNS she/her
Innovation Hall
Room e407
82 University Place
Burlington, VT 05405
United States
Department of Computer Science
Vermont Complex Systems Center
BIO
Juniper Lovato is an assistant professor in the Department of Computer Science at the University of Vermont and an active Vermont Complex Systems Institute member. Her current research centers around data ethics, fairness, accountability, transparency, the science of stories, and open-source ecosystems. Drawing from diverse disciplines, including computational social science, computer science, complex systems, and networks, she applies various tools and methods to explore these critical areas. She is a Co-PI of the EPSCoR Track-1 award, The Science of Online Corpora, Knowledge, and Stories (SOCKS), focused on the science of stories and the PI of VERSO, an Open Source Program Office at the University of Vermont funded by the Alfred P. Sloan Foundation.
Juniper earned her Ph.D. in Complex Systems & Data Science from the University of Vermont and her MALA in the Classics from St. John’s College. Her previous role involved contributing to education initiatives as the Director of Education for the Santa Fe Institute.
Beyond her academic pursuits, Juniper is deeply engaged in community initiatives. She is the inaugural Vermont regional partner with Code.org and was key in co-founding the Vermont Computer Science Alliance and a new UVM Computer Science licensure degree for Vermont K-12 teachers, which will be starting in the Fall of 2024. Additionally, she actively contributes to the boards of the Network Science Society and the Northeast Chapter of the Complex Systems Society. She is also the founder of the makerspace Make Santa Fe. With a focus on education, Juniper has created over 80 STEM education programs globally.
Publications
Juniper Lovato's Google Scholar Profile
Area(s) of expertise
Multi-Scale Data Ethics, Networks, Applied Ethical Philosophy, Group Privacy, Privacy Policies, Distributed Consent, Ethics of Science and Technology, Complex Systems, Ethics in AI Art, Data Science, Computational Classics, Digital Humanities, The Science of Stories, and Open Source Ecosystems.
Bio
Juniper Lovato is an assistant professor in the Department of Computer Science at the University of Vermont and an active Vermont Complex Systems Institute member. Her current research centers around data ethics, fairness, accountability, transparency, the science of stories, and open-source ecosystems. Drawing from diverse disciplines, including computational social science, computer science, complex systems, and networks, she applies various tools and methods to explore these critical areas. She is a Co-PI of the EPSCoR Track-1 award, The Science of Online Corpora, Knowledge, and Stories (SOCKS), focused on the science of stories and the PI of VERSO, an Open Source Program Office at the University of Vermont funded by the Alfred P. Sloan Foundation.
Juniper earned her Ph.D. in Complex Systems & Data Science from the University of Vermont and her MALA in the Classics from St. John’s College. Her previous role involved contributing to education initiatives as the Director of Education for the Santa Fe Institute.
Beyond her academic pursuits, Juniper is deeply engaged in community initiatives. She is the inaugural Vermont regional partner with Code.org and was key in co-founding the Vermont Computer Science Alliance and a new UVM Computer Science licensure degree for Vermont K-12 teachers, which will be starting in the Fall of 2024. Additionally, she actively contributes to the boards of the Network Science Society and the Northeast Chapter of the Complex Systems Society. She is also the founder of the makerspace Make Santa Fe. With a focus on education, Juniper has created over 80 STEM education programs globally.
Publications
Areas of Expertise
Multi-Scale Data Ethics, Networks, Applied Ethical Philosophy, Group Privacy, Privacy Policies, Distributed Consent, Ethics of Science and Technology, Complex Systems, Ethics in AI Art, Data Science, Computational Classics, Digital Humanities, The Science of Stories, and Open Source Ecosystems.