Welcome!

My research focuses on ways of enlarging access to the public square by helping journalists think computationally, helping computer scientists become better collaborators, and ensuring that digital media tools work better for all. My approach has focused on engaging students in interdisciplinary computing collaborations aimed at creating civic media that address real community problems.

My current research collaboration, Trenton Makes Music: Cultural Memory, Identity and Economic Development, involves the creation of a digital archive, podcast and social platform documenting the contributions of Trenton music professionals to the music industry, and the role of music in Trenton's economic and cultural development. My partners in this endeavor are Dr. Teresa Marrin Nakra of TCNJ's Music and Interactive Multimedia departments, and singer Sarah Dash. We have been fortunate to attract support from the New Jersey Council for the Humanities and several sources within TCNJ. Our hope is that this project will support efforts to create culturally responsive curricula, to preserve local history and to foster heritage tourism. We also see it as a potential springboard for research on the role of music education in violence prevention. This project began as a First Seminar class 2014, and is ongoing

I am also co-pi for CABECT: Collaborating Across Boundaries to Engage Undergraduates in Collaborative Thinking,which was funded by National Science Foundation grant 1141170. The PI for the grant is Dr. S. Monisha Pulimood, chair of the TCNJ Computer Science Department. The CABECT project tested the hypothesis that students can become more deeply engaged in computational thinking when collaborating with community members to address a real problem. Our pilot project, attempted to make it easier for affordable housing developers and urban farmers to get information on the real and potential pollutants in their soil. The curricular model for the Trenton Makes Music Project draws from this research. This project began in 2012 and will conclude in 2017.

A list of publications and presentations, as well as information on past research projects is available on my research page.

Sarah Monisha Pulimood, Kim Pearson, and Diane C. Bates. 2016. A Study on the Impact of Multidisciplinary Collaboration on Computational Thinking. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE '16). ACM, New York, NY, USA, 30-35. http://dx.doi.org/10.1145/2839509.2844636

Kathleen Webber and Kim Pearson. Community Engaged Learning in Journalism and Multimedia Courses Teaching Journalism and Mass Communication, AEJMC, Summer, 2015

President Obama delivers his valedictory State of the Union Address, BlogHer, January 12, 2016
Of Margo Jefferson's "Negroland" November 15, 2015
What I learned from meeting Maya Angelou: Something is always wanting to come May 28, 2014

I was a college newspaper adviser, too






A former student passed along this March, 2013 blog post , “I was a college newspaper advisor,” by journalist and adjunct journalism instructor Jeff Pearlman about his disappointing experience as an unpaid adviser for Manhattanville College’s student newspaper. According to the post, Perlman helped the students launch the paper in 2011, extracted a promise of […]

Found in the archives: A 1997 chat with Ed Bullins






In 1997, I had an opportunity to interview Ed Bullins, a prominent playwright of the Black Arts era. He was on the TCNJ campus for a production of his award-winning 1974 play, “The Taking of Miss Janie,” which Bullins has described as an allegory about race relations in the US. In a review of a […]

Story idea: How well do municipal online tax collection websites work?






There’s a story in this morning’s Philadelphia Inquirer about the local government’s failure to collect delinquent real estate taxes: “Between 2008 and 2011 – the last year for which complete data are available – Philadelphia’s one-year property-tax collection rate has averaged just 85.5 percent. That average is lower than that of any other any big […]

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