BIDS Faculty Affiliate Philip B. Stark is on the Technical Program Committee for the 1st International Workshop on Election Infrastructure Security (EIS 2022) in Copenhagen, Denmark, on September 30, 2022. This workshop is being held in conjunction with the 27th European Symposium on Research in Computer Security (ESORICS 2022) on September 26-30, 2022.
This workshop aims to provide researchers and practitioners in different areas of security (network security, cryptography, etc.), networking, hardware architectures, software engineering, system engineering, machine learning, and natural language processing with an interdisciplinary forum to present, discuss, and exchange ideas that address the challenges of current and next-generation Election Infrastructure systems. Topics of interest include, but are not limited to voter registration databases, voting machines, vote counting machines, electronic poll books, physical security of voting equipment, access control, security standards, and disinformation & misinformation campaigns.
Paper submissions due July 15, 2022 – This workshop seeks submissions from academia, government, and industry presenting novel research results in all practical and theoretical aspects of Election Infrastructure Security.
Philip B. Stark
Philip B. Stark's research centers on inference (inverse) problems and uncertainty quantification, especially confidence procedures tailored for specific goals. Applications include causal inference, the U.S. Census, climate modeling, cosmology, earthquake prediction and seismic hazard analysis, election auditing, endangered species, epidemiology, evaluating and improving teaching and educational technology, food web models, health effects of sodium, the geomagnetic field, geriatric hearing loss, information retrieval, Internet content filters, litigation, resilient and sustainable food systems, risk assessment (including natural disasters and food safety), the seismic structure of Sun and Earth, spectroscopy, spectrum estimation, and uncertainty quantification for computational models of complex systems. Methods he has developed for auditing elections have been incorporated into laws in California, Colorado, and Rhode Island, Texas, Virginia, and Washington. Methods for data reduction and spectrum estimation that he has developed or co-developed are part of the Øersted geomagnetic satellite data pipeline and the Global Oscillations Network Group (GONG) helioseismic telescope network data pipeline.