About Chris

I'm a PhD candidate in Technology, Media & Society at the University of Colorado Boulder, where I also work closely with the the Department of Information Science.

Current Work

Along with my advisor, Dr. Amy Voida, I conduct empirical research in human-computer interaction and computer supported cooperative work, with a focus on philanthropic informatics. I work with human and social services organizations to conduct research in the areas outlined in the research interests section.

Previous Work

I earned a B.S. from RIT's College of Computing and Information Sciences and a M.S. from the University of Colorado's College of Engineering and Applied Science. I've worked as a professional in the nonprofit, data science, and computer security spaces. More information on my background can be found in my LinkedIn profile, and CV.

Research Themes

My research focuses on several themes of big data work in the nonprofit sector, specifically human and social service organizations. Empirical work that explores these themes can be found below in the publications section. My research questions most often dictate the application of a variety of qualitative methods including interviews, observations, data journey maps, and discourse analysis.


Who is included or excluded in the drive to use big data in the nonprofit sector? What can big data represent or not represent about nonprofit work? How does big data deal with the complexity of social systems which resist quantification and systematization?


Big data incorporates a belief that it can unlock access to new insights through a higher form of intelligence. How does this mythology affect the adoption of big data in human and social services organizations? How does this mythology shape evidence-based practices, and what are the implications for organizations and clients?


How do power dynamics influence representations or exclude individuals? How do power dynamics work to shape big data infrastructure? What are the implications of this influence?

Public Policy

When public policy makers ask for data about social issues, what aggregated data do they ask for, or not ask for? How do they deal with ambiguity and uncertainty in big data?

Interorganizational Work

Big data in the nonprofit sector is most likely to result from aggregation across organizations. How do organizations use data in working together at the community level to address social issues? What barriers to leveraging big data are encountered, particularly in terms of stigmatized domains?

Research Ethics

What are responsible ways for researchers to engage with nonprofits given the importance of their work, and the limited human and financial resources available to them? How can researchers contribute meaningfully to our nonprofit partners?



  • Bopp, C., & Voida, A. (To Appear). Voices of the Social Sector: A Systematic Review of Stakeholder Voice in HCI Research with Nonprofit Organizations. Transactions on Computer-Human Interaction.
  • Bopp, C., Benjamin, L.M., & Voida, A. (To Appear). The Coerciveness of the Primary Key: Infrastructure Problems in Human Services Work. Proceedings of the ACM: Human Computer Interaction, 3(51). [Acceptance rate: 31%]
  • Bopp, C. (To Appear). Doing "Good" with Data? Understanding and Working Around Data Doubles in Human Services Organizations. In Extended Abstracts of the 2019 CSCW Conference on Computer Supported Cooperative Work & Social Computing (Doctoral Consortium).
  • 2018

  • Benjamin, L.M., Voida, A. & Bopp, C. (2018). Policy Fields, Data Systems and the Performance of Nonprofit Human Service Organizations. Human Service Organizations: Management, Leadership, & Governance. Special Issue on Human Service Agencies and the Question of Impact: Lessons for Theory, Policy, and Practice, 42(2), 185–204.
  • 2017

  • Bopp, C., Harmon, E., & Voida, A. (2017, May). Disempowered by Data: Nonprofits, Social Enterprises, and the Consequences of Data-Driven Work. In Proceedings of the ACM Conference on Human Factors in Computing Systems (pp. 3608-3619). ACM. [Acceptance rate: 25%]
  • Harmon, E., Bopp, C., & Voida, A. (2017, May). The Design Fiction of Philanthropic IT: Stuck Between an Imperfect Present and an Impossible Future. In Proceedings of the ACM Conference on Human Factors in Computing Systems (pp. 7015-7028). ACM. [Acceptance rate: 25%]
  • Porter, E., Bopp, C., Gerber, E. & Voida, A. (2017, May). Reappropriating Hackathons: The Production Work of the CHI4Good Day of Service. In Proceedings of the ACM Conference on Human Factors in Computing Systems (pp. 810-814). ACM. [Acceptance rate: 25%]
  • Bica, M., Palen, L., & Bopp, C. (2017, February). Visual Representations of Disaster. In Proceedings of the ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1262-1276). ACM. [Acceptance rate: 35%]