RESEARCH
Research interests
My current research interests include: ethics, fairness, accountability, and transparency, privacy, the science of stories, computational social science, complex systems, networks, computer science, data science, and open source
Computational Ethics lab
The University of Vermont (UVM) Computational Ethics Lab is a research group located in the Vermont Complex Systems Center. Our team brings together a post-disciplinary group of researchers, faculty, and students working in complex systems, data science, mathematics, computer science, and philosophy. This research group works to gain a deeper understanding of the ethical impacts of modern socio-technological systems. Research areas include: multi-level data ethics, privacy, group decision theory, AI Ethics, distributed consent, and network structure and dynamics of data flow.
SELECTED papers & science communication
LEMURS Research
Lived Experiences Measured Using Rings Study (LEMURS) is a multi-year study to understand lifestyle practices that may impact health and wellness using Oura Ring to collect physiological data. The Lived Experiences Measured Using Rings Study (LEMURS) is aiming to find a link between a person’s perceived well-being to their physiologic measures such as heart rate variability, resting heart rate, sleep, and physical activity.
Beyond the Repository
Best practices for open source ecosystems researchers. Authors: Amanda Casari, Julia Ferraioli, and Juniper Lovato. Communicaions of the ACM. (2023) 66 (10), 50-55 [Link]
More Data Types More Problems
A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies. Juniper Lovato, Philip Mueller, Parisa Suchdev, Peter S. Dodds. IIn 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT 23), June 2023, Chicago, USA. [Link]
PII Lexicon
287 words that are associated with personally identifiable information (PII) as defined by legislative definitions sections from eight U.S. state-level laws concerning consumer data privacy.
Diverse Misinformation
Diverse Misinformation: Impacts of Human
Biases on Detection of Deepfakes on Networks. Juniper Lovato, Laurent Hébert-Dufresne, Jonathan St-Onge, Randall Harpa, Gabriela Salazar Lopez, Sean P. Rogers,
Ijaz Ul Haq, and Jeremiah Onaolapo. October 2023. npj Complexity (in press) [arXiv Link].
Distributed Consent
Juniper Lovato, Antoine Allard, Randall Harp, Jeremiah Onaolapo, and Laurent Hébert-Dufresne. 2022. Limits of Individual Consent
and Models of Distributed Consent in Online Social Networks. In 2022 ACM Conference on Fairness, Accountability, and Transparency
(FAccT ’22), June 21–24, 2022, Seoul, Republic of Korea. ACM, New York, NY, USA, 19 pages https://doi.org/10.1145/3531146.3534640. [Link]
Ousiometrics and Telegnomics
Dodds, Peter Sheridan, et al. "Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias." arXiv preprint arXiv:2110.06847 (2021). [Gitlab Rep]
A How To:
reflections on planning virtual science conferences. August 6, 2020. by Juniper Lovato (general conference chair) and Laurent Hébert-Dufresne (conference co-organizer), Vermont Complex Systems Center, University of Vermont
Current Funding
Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the view of the funding agencies listed below.
Award Number:2242829. For support of the RII Track-1: Harnessing the Data Revolution for Vermont: The Science of Online Corpora, Knowledge, and Stories (SOCKS)
For support of the MassMutual Center of Excellence in Complex Systems and Data Science
Grant Number: G-2021-16956. For support of the VErmont ReSearch OSPO (VERSO) Project. Pilot land-grant university model for supporting open source software as a part of the University of Vermont open source programs office
For support of the Open-Source Complex Ecosystems And Networks (OCEAN) Project