S. Song

ORCID: 0000-0001-8163-2023
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About
Contact & Profiles
Research Areas
  • Iron and Steelmaking Processes
  • Nuclear reactor physics and engineering
  • Polymer-Based Agricultural Enhancements
  • Privacy-Preserving Technologies in Data
  • Gas Dynamics and Kinetic Theory
  • Ethics in Clinical Research
  • Advanced Thermodynamics and Statistical Mechanics
  • Mineral Processing and Grinding
  • Soil Mechanics and Vehicle Dynamics
  • Metallurgical Processes and Thermodynamics
  • Ethics and Social Impacts of AI
  • Particle Dynamics in Fluid Flows
  • Smart Agriculture and AI
  • Graphite, nuclear technology, radiation studies

University of California, Berkeley
1973-2023

Across academia, government, and industry, data stewards are facing increasing pressure to make datasets more openly accessible for researchers while also protecting the privacy of subjects. Differential (DP) is one promising way offer along with open access, but further inquiry needed into tensions between DP science. In this study, we conduct interviews 19 practitioners who non-experts in as they use a analysis prototype release privacy-preserving statistics about sensitive data, order...

10.1145/3544548.3580791 preprint EN 2023-04-19

10.1007/bf02666199 article EN Metallurgical Transactions 1973-07-01

10.1002/cjce.5450510515 article EN The Canadian Journal of Chemical Engineering 1973-10-01
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