Completed Ph.D. Dissertations

2024

Emily Aiken. Targeting Social Protection Programs with Machine Learning and Digital Data. Ph.D. Dissertation. Advisor: Joshua E. Blumenstock. University of California, Berkeley. 2024.

2023

Jeremy Gordon. Embodying the Future: Modeling Visually Guided Planning as Prospective Mental Simulation. Ph.D. dissertation. Advisors: John Chuang, Coye Cheshire, Steven Piantadosi, Giovanni Pezzulo. University of California, Berkeley. 2023.

2022

Daniel Griffin. Situating Web Searching in Data Engineering: Admissions, Extensions, Repairs, and Ownership. Ph.D. dissertation. Advisors: Deirdre K. Mulligan and Steven Weber. University of California, Berkeley. 2022.

Jonathan Gillick. Creating and Collecting Meaningful Musical Materials with Machine Learning. Ph.D. dissertation. Advisor: David Bamman. University of California, Berkeley. 2022.

2021

Jonas, Anne. 2021. “Blank Slate: Freedom, Connection, and Accountability in U.S. Virtual Schools.” Doctoral dissertation, University of California, Berkeley.

Nitin Kohli. Leveraging Differential Privacy While Attending to Social and Political Commitments. Ph.D. dissertation. Advisor: Deirdre Mulligan. University of California, Berkeley. 2021.

Doris Jung-Lin Lee. Designing Automated Assistants for Visual Data Exploration. Ph.D. dissertation. Advisor: Aditya G. Parameswaran. University of California, Berkeley. 2021.

2020

Nick Doty. Enacting Privacy in Internet Standards. Ph.D. dissertation. Advisor: Deirdre K. Mulligan. University of California, Berkeley. 2020.

Max T. Curran. Sensor-Mediated Empathy: A Mixed Methods Investigation of Social Biosensing. Ph.D. dissertation. Advisor: John Chuang. University of California, Berkeley. 2020.

Richmond Y. Wong. Values by Design Imaginaries: Exploring Values Work in UX Practice. Ph.D. dissertation. Advisor: Deirdre Mulligan. University of California, Berkeley. 2020.

Howell, N. 2020. Emotional Meaning Making with Data. University of California, Berkeley.

Guanghua Chi. Migration and Social Networks: New Insights from Novel Data. Ph.D Dissertation. Advisor: Joshua E. Blumenstock. University of California, Berkeley. 2020.

2019

Sarah Van Wart. In search of a “fair explanation”: Helping young people to consider the possibilities, limitations, and risks of computer- and data-mediated systems. Ph.D. Dissertation. University of California, Berkeley. 2019.

Niall C. Keleher. Economic Indicators and Social Networks: New approaches to measuring poverty, prices, and impacts of technology. Ph.D. Dissertation. Advisor: Joshua E. Blumenstock. University of California, Berkeley. 2019.

Sedenberg, Elaine. “Information-intensive innovation: the changing role of the private firm in the research ecosystem through the study of biosensed data.” PhD Diss. University of California, Berkeley, 2019. https://escholarship.org/uc/item/1s60w39f#main

2018

Nick Merrill. Mind-Reading and Telepathy for Beginners and Intermediates: What People Think Machines Can Know About the Mind, and Why Their Beliefs Matter. Ph.D. Dissertation. Advisor: John Chuang. University of California, Berkeley. 2018.

Ishita Ghosh. Challenging the dominant narratives of a Digital Financial Inclusion. Ph.D Dissertation. Advisor: Jenna Burrell. University of California, Berkeley. 2018.

Khan, Muhammad Raza (2018). “Machine Learning for the Developing World using Mobile Communication Metadata” PhD dissertation., University of California, Berkeley

Jennifer King. Privacy, Disclosure, and Social Exchange Theory. Ph.D Dissertation. Advisor: Deirdre Mulligan. University of California, Berkeley. 2018.

Sebastian Benthall. Context, Causality, and Information Flow: Implications for Privacy Engineering, Security, and Data Economics. Ph.D. dissertation. Advisors: John Chuang and Deirdre Mulligan. University of California, Berkeley. 2018.