Position Senior Reference Marketing Manager, Princeton University Press Role Social Impact Fellowship Mentor Email [email protected] Website Princeton University Press: Common Reading Bio/Description Barbara Tonetti, Senior Reference Marketing Manager at Princeton University Press, uncovers new audiences for PUP’s Nature and Education titles, with special shepherding of the Press’s Common Reading program and Skills for Scholars series. In her early career, Barb pursued her first love (publishing) as a senior editor with a national magazine; a decade later she shifted to adjunct teaching and academic coaching, and then on to scholarly publishing, with a particular focus on initiatives benefiting underrepresented groups. Barb served as a supervisor for the inaugural year of the PUP Publishing Fellowship, aimed at addressing a lack of diverse representation in the publishing industry. “I’m a constructivist, in theory and practice; this framework will inform our work together on a Social Impact Fellowship, and, even better, will have the potential to inspire active learning in undergraduates through the publishing programming we create. As a mentor, I seek to be a “guide on the side”—I strive to bring this mindset to all projects with colleagues, nurturing collaborations that are dynamic, generative, and empowering.” Upcoming Professional Development Events Sep 16 Select and Analyze Geographic Features and Data with QGIS Sep 16 Shape Your Ph.D 2024 (Session 2) Sep 17 Mentor Undergraduate Researchers through ReMatch (Virtual) Sep 17 Select and Analyze Geographic Features and Data with ArcGIS Pro Sep 17 Introduction to MATLAB Sep 17 Inclusive Leadership Learning Cohort 2024: Session 2 "Inclusive Leadership Requires Emotional Intelligence" Sep 18 Introduction to Data Analysis Using R Sep 18 Finding the Best Location using QGIS Sep 18 Introduction to Programming Using Python, Section I (9/18, 9/19 and 9/23) Sep 19 Finding the Best Location using ArcGIS Pro Sep 19 Advanced LaTeX Workshop Sep 19 Connecting Visual Studio Code to the Research Computing Clusters