Aaron R. Williams
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View article: tidysynthesis: A Common API for Synthesizing Data
tidysynthesis: A Common API for Synthesizing Data Open
View article: But Can You Use It? Design Recommendations for Practical Alternatives to Differentially Private Interactive Systems
But Can You Use It? Design Recommendations for Practical Alternatives to Differentially Private Interactive Systems Open
View article: But Can You Use It? Design Recommendations for Differentially Private Interactive Systems
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems Open
Accessing data collected by federal statistical agencies is essential for public policy research and improving evidence-based decision making, such as evaluating the effectiveness of social programs, understanding demographic shifts, or ad…
View article: Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy Open
The authors discuss their experience applying differential privacy with a complex data set with the goal of enabling standard approaches to statistical data analysis. They highlight lessons learned and roadblocks encountered, distilling th…
View article: Disclosing Economists’ Privacy Perspectives: A Survey of American Economic Association Members’ Views on Differential Privacy and the Usability of Noise-Infused Data
Disclosing Economists’ Privacy Perspectives: A Survey of American Economic Association Members’ Views on Differential Privacy and the Usability of Noise-Infused Data Open
Policymakers often rely on official statistics and administrative data to make essential public policy decisions, such as using administrative tax data to broaden our understanding of individuals' and firms' responses to economic incentive…
View article: The Case for Researching Applied Privacy Enhancing Technologies
The Case for Researching Applied Privacy Enhancing Technologies Open
View article: Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy Open
The authors discuss their experience applying differential privacy with a complex data set with the goal of enabling standard approaches to statistical data analysis. They highlight lessons learned and roadblocks encountered, distilling th…
View article: The promise and limitations of formal privacy
The promise and limitations of formal privacy Open
Differential privacy (DP) is in our smart phones, web browsers, social media, and the federal statistics used to allocate billions of dollars. Despite the mathematical concept being only 17 years old, differential privacy has amassed a rap…
View article: A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data Open
Federal administrative data, such as tax data, are invaluable for research, but because of privacy concerns, access to these data is typically limited to select agencies and a few individuals. An alternative to sharing microlevel data is t…
View article: A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data Open
Federal administrative data, such as tax data, are invaluable for research, but because of privacy concerns, access to these data is typically limited to select agencies and a few individuals. An alternative to sharing microlevel data is t…
View article: A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses for Administrative Tax Data.
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses for Administrative Tax Data. Open
Federal administrative tax data are invaluable for research, but because of privacy concerns, access to these data is typically limited to select agencies and a few individuals. An alternative to sharing microlevel data are validation serv…