The paper "Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis" by Priyanka Nanayakkara and colleagues proposes a new interactive analysis paradigm called MEASURE-OBSERVE-REMEASURE to support analysts in efficiently spending their privacy loss budget (ε) during exploratory data analysis (EDA) under differential privacy (DP). DP constraints the amount of noise added to query results, balancing privacy and accuracy. The paradigm allows analysts to measure queries with an initial ε, observe estimates and their errors, and remeasure with more ε as needed. The authors implement this paradigm in an interactive visualization interface, enabling analysts to incrementally increase ε and improve estimates. A user study compares analysts' performance to that of a rational agent, finding that participants can maximize over half the utility from ε allocation, with their performance loss attributed more to information access than ε allocation. The study highlights the effectiveness of the MEASURE-OBSERVE-REMEASURE paradigm in supporting analysts in efficient ε spending and improving the accuracy of exploratory analyses.The paper "Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis" by Priyanka Nanayakkara and colleagues proposes a new interactive analysis paradigm called MEASURE-OBSERVE-REMEASURE to support analysts in efficiently spending their privacy loss budget (ε) during exploratory data analysis (EDA) under differential privacy (DP). DP constraints the amount of noise added to query results, balancing privacy and accuracy. The paradigm allows analysts to measure queries with an initial ε, observe estimates and their errors, and remeasure with more ε as needed. The authors implement this paradigm in an interactive visualization interface, enabling analysts to incrementally increase ε and improve estimates. A user study compares analysts' performance to that of a rational agent, finding that participants can maximize over half the utility from ε allocation, with their performance loss attributed more to information access than ε allocation. The study highlights the effectiveness of the MEASURE-OBSERVE-REMEASURE paradigm in supporting analysts in efficient ε spending and improving the accuracy of exploratory analyses.