My research is focused on the use of documents to understand how people interact, how they create communities, and the characteristics of those communities. I am interested in the use of quantitative and computational techniques to analyze both documents and their associated metadata to identify aspects of community and community development which are discernible only over time and within large scale archived document collections.   At present I am exploring the dynamic nature of community ethos within a dispersed information-dependent community through computational discourse analysis of the community's primary communication - its membership publication.  In doing so I am suggesting that community created documents both reflect and facilitate the creation of culture particularly within dispersed communities.
(see RESEARCH for more information)


Curriculum Vitae

Education

Indiana University Bloomington - Luddy School of Informatics, Computing & Engingeering

     Ph.D. (expected 2024) Information Science, Department of Information & Library Science

     M.I.S. (2013)  Information Science, Department of Information & Library Science

 

University of Wisconsin Madison - College of Letters and Science

     B.A. (1992) English, Department of English

Skills

Research Methods: Natural Language Processing, Network Analysis, Bibliometric & Citation Analysis
Programming Languages: Perl, Python, R
Data/Query Languages: XML, SQL, XQuery, XSLT, HTML, R
Writing Software: InDesign, Acrobat, Word, LaTeX
Visualization Software: Illustrator, Tableau, Excel, Vue, Gephi, Photoshop, PowerPoint, ggplot
Analysis Software: Open Refine, Excel, SPSS, SAS, R, Pajek

Teaching

COURSE INSTRUCTION:

  • Management for Information Professionals (graduate course), Adjunct Lecturer
  • Organizational Informatics (graduate course), Adjunct Lecturer
  • XML Workshop (graduate course), Adjunct Lecturer
  • Systems Analysis and Design (graduate course), Adjunct Lecturer


LAB INSTRUCTION:

  • Database Design (graduate course), Assistant Instructor


GUEST LECTURE:

  • Systems Analysis & Design (graduate course) – Data Modeling: Entity Relationship Diagrams
  • Introduction to Research (graduate course) – Qualitative Data Collection & Analysis Methods
  • Introduction to Research (graduate course) – Historical Research, Content Analysis & Bibliometrics

(See TEACHING for more information)

Appointments

ACADEMIC:

Indiana University Bloomington - Luddy School of Informatics, Computing & Engingeering

     (2013-present) Adjunct Lecturer, Department of Information & Library Science

     (2012-2013) Assistant Instructor, Department of Information & Library Science

PROFESSIONAL:

Indiana University Bloomington - Office of Vice President & General Counsel

     (2020-present) Senior Equity Analyst/Investigator, Office of Instutational Equity & Title IX

     (2007-2020) Information Specialist/Data Analyst, Office of Instutational Equity

     (2004- 2007) Communication Specialist/Data Analyst, Office of Affirmative Action

RedOak Informatics

     (2021- present) Owner/Consultant

Published Work

PEER REVIEWED JOURNAL ARTICLES:

  1. Xu, J., Ding, Y., Song, M., & Chambers, T. (2016). Author credit-assignment schemas: A comparison and analysis. Journal of the American Society for Information Science & Technology. 67(8):1973-2989. doi: 10.1002/asi.23495
  2. Li, D., Tang, J., Ding, Y., Shuai, X., Chambers, T., Sun, G., Luo, Z., & Zhang, J. (2015) Topic-level opinion influence model (TOIM): An investigation using tencent microblogging. Journal of the American Society for Information Science & Technology. 66(12):2657-2673. doi: 10.1002/asi.23350
  3. Ding, Y., Zhang, G., Chambers, T., Song, M., Wang, X., & Zhai, C. (2014). Content-based citation analysis: The next generation of citation analysis. Journal of the American Society for Information Science & Technology. 65(9):1820-1833 doi: 10.1002/asi.23256
  4. Li, R., Chambers, T., Ding, Y., Zhang, G., & Meng, L. (2014). Patent citation analysis: Calculating science linkage based on citing motivation. Journal of the American Society for Information Science & Technology. 65 (5):1007-1017. doi: 10.1002/asi.23054
  5. Song, M., Kim, S., Zhang, G., Ding, Y., & Chambers, T. (2014). Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central. Journal of the American Society for Information Science & Technology. 65(2): 352–371. doi: 10.1002/asi.22970
  6. Song, M., Han, N., Kim, Y., Ding, Y., & Chambers, T. (2013). Discovering implicit entity relation with the Gene-Citation-Gene network. PLoS ONE 8(12): e84639. doi: 10.1371/journal.pone.0084639
  7. Ding, Y., Song, M., Jia, H., Yu, Q., Yan, E., Lin, L., & Chambers, T. (2013). Entitymetrics: Measuring the Impact of Entities. PLoS ONE 8(8): e71416. doi:10.1371/ journal.pone.0071416

BOOK CHAPTERS:

  1. Song, M. & Chambers, T. (2014). Text Mining with the Stanford CoreNLP. In Ding, Y., Rousseau, R., & Wolfram, D. (Eds.) Measuring Scholarly Impact: Methods and Practice (pp. 215-234). Heidelberg: Springer. doi: 10.1007/978-3-319-10377-8_10

PEER REVIEWED CONFERENCE PAPERS AND PROCEEDINGS:

  1. Chambers, T. (2017). Location as a factor in a for-profit firm’s decision to engage in open science. The 2017 Atlanta Conference on Science and Innovation Policy, October 10-11, 2017, Atlanta, Georgia. [poster]
  2. Chambers, T., Milojević, S., & Ding, Y. (2014). Female semantic web researchers: Does collaboration with male researchers influence their network status? In Proceedings of the 2014 ACM conference on Web science (WebSci’14). ACM, New York, NY USA, 301-302 doi:10.1145/2615569.2615659 [poster]
  3. Chambers, T., Shah, S., Uranker, A., Kalyan, V., Scharnhorst, A., Reijhoudt, L., Rideour, L., Guéret, C., & Ding, Y. (2013). Bilingual researcher profiles: Modeling Dutch researchers in both English and Dutch using the VIVO ontology. In Proceedings of the American Society for Information Science and Technology 50(1):1-4 doi:10.1002/meet.14505001137 [poster]

PRE-PRINTS:

  1. Guéret, C., Chambers, T., Reijnhoudt, L., van der Most, F., Scharnhorst, A. (2013). Genericity versus expressivity-an exercise in semantic interoperable research information systems for Web Science. arXiv preprint. arXiv:1304.5743

Conference Presentations

  1. Chambers, T. (presenter) (2017). The influence of top management team education on the use of scholarly communication by for-profit firms. 2017 Doctoral Research Forum (Department of Library & Information Science, Indiana University), October 21, 2017, Bloomington, Indiana, USA.
  2. Chambers, T. (presenter), Milojević, S., & Ding, Y. (2014). Female semantic web researchers: Does collaboration with male researchers influence their network status? 2014 ACM Web Science Conference, June 23-26, 2014, Bloomington, Indiana, USA. – Pecha Kucha Style.
  3. Chambers, T. (presenter), Shah, S., Uranker, A., Kalyan, B., Scharnhorst, A., Reijhoudt, L., Guéret, C., Rideour, L., & Ding, Y. (2013). A bilingual VIVO instance: Using both Dutch and English to model researchers at VU University of Amsterdam (Vrije Universiteit). 4th Annual VIVO Conference, August 14-16, 2013, St. Louis, Missouri, USA.

Awards

  • Early Research Poster Award: Atlanta Conference on Science and Innovation Policy (2017)
  • Fry Family Fellowship: Indiana University (2013)
  • Student Travel Award: Indiana University (2013)

Service

JOURNAL REVIEWER:

  • Economics of Innovation and New Technology
  • PLOS ONE
  • Scientometrics Journal
  • Journal of the American Society for Information Science and Technology
  • Journal of Computer Science and Technology
  • International Journal of Engineering and Technology Innovation


CONFERENCE REVIEWER:

  • iConference
  • ICADL (International Conference on Asia-Pacific Digital Libraries)
  • IEEE/ACM ASONAM (International Conference on Advances in Social Networks Analysis and Mining)