Volunteer support for faculty research involving data science and data management

About the Collaboratory

The collaboratory is a data analysis and collaboration network focused exclusively on smaller colleges and universities in New York State.

Leveraging expertise across the New York Six Liberal Arts Consortium (NY6), the collaboratory consists of a cohort of statisticians and data librarians from regional colleges and universities, and from within the community. These experts provide consultation and support in the following areas:

  • Statistical methodology
  • Data mining and manipulation
  • Creating data which meet principles of findability, accessibility, interoperability, and reusability (FAIR)
  • Data Visualization


In collaboration with our student collaborators, we recently launched a resource page. This page provides researchers access to Rshiny applets that address common statistical procedures.


Research Papers

Cooley, Erin, J. L. Brown-Iannuzzi, R. F. Lei, and William Cipolli. 2021. The policy implications of feeling low versus high status within a privileged group. Journal of Experimental Psychology: General. In press. https://doi.org/10.1037/xge0001051

Levy, J. S., W. Cipolli, F. Ishraque, M. Tebolt, C. Fasset, R. Parsons. 2020. “Boulder Bands on Lobate Debris Aprons: Does Spatial Clustering Reveal Accumulation History for Martian Glaciations?” NASA Technical Reports. https://ntrs.nasa.gov/search.jsp?R=20200001884.

Cooley, Erin, Neil Hester, William Cipolli, Laura I. Rivera, Kaitlin Abrams, Jeremy Pagan, Samuel R. Sommers, and Keith Payne. 2020. “Racial Biases in Officers’ Decisions to Frisk Are Amplified for Black People Stopped Among Groups Leading to Similar Biases in Searches, Arrests, and Use of Force.” Social Psychological and Personality Science 11 (6): 761–69. https://doi.org/10.1177/1948550619876638.

Clare, Connie, Maria Cruz, Elli Papadopoulou, James Savage, Marta Teperek, Yan Wang, Iza Witkowska, and Joanne Yeomans. 2019. Engaging Researchers with Data Management: The Cookbook. Open Book Publishers. https://doi.org/10.11647/OBP.0185.

Kennedy, Liam, Derek Silva, Madelaine Coelho, and William Cipolli. 2019. “‘We Are All Broncos’: Hockey, Tragedy, and the Formation of Canadian Identity.” Sociology of Sport Journal 36 (3): 189–202. https://doi.org/10.1123/ssj.2019-0006.

Jimenez, Ana Gabriela, Josh Winward, Ursula Beattie, and William Cipolli. 2018. “Cellular Metabolism and Oxidative Stress as a Possible Determinant for Longevity in Small Breed and Large Breed Dogs.” PLoS ONE 13 (4). https://doi.org/10.1371/journal.pone.0195832.


E. Sherwood, P. Williams, E. Bettinger, J. Finnell. “Data in the Humanities.” $2000 awarded by the Central New York Humanities Corridor., 2020

J. Finnell. “Engaging Researchers with Data Management: The Cookbook.” $1000 awarded by the Colgate University Research Council Publication Grant. 2019

D. Silva, and W. Cipolli. “How radicalization became the dominant framework for understanding terrorism." $55,532 awarded by the Social Science and Humanities Research Council of Canada, July 2019.

E. Cooley, L. Philbrook, W. Cipolli, J. Brown-Iannuzzi, and R. Lei. “Why does rich = White and poor = Black in the minds of United States’ citizens? Race-based class assumptions and their consequences for increasing racial resentment and race-related health disparities in the United States." $160,000 awarded by the Picker Interdisciplinary Science Institute, February 2019.

E. Sherwood, J. Finnell, J. Buell, E. Bettinger, P. Williams, “The New York Data Carpentries Library Consortium”. $86,000 awarded by the Institute of Museum and Library Services, Laura Bush 21st Century Librarian Program, 2019

J. Finnell and W. Cipolli. “The Data Analysis + Consultation Network." $3000 Awarded by the Central New York Library Resources Council, November 2018.

J. Finnell. “Data to Dome: Visualizing Research Data from New York to Cape Town.” $11,000 awarded by the Colgate University Lampert Global Partnership Grant.

Student Summer Research

Chau Pham, Summer 2020, Libraries Matter: Impact of Public Libraries on Central New York Communities

Kathryn Robinson, Summer 2019, DCMO BOCES Grade Level Reading Campaign

In the News

Khalid, Amna, and Jeffrey Aaron Snyder. ``Why diversity training on campus is likely to disappoint." The Conversation. August 2020

Petzold, Evan. “Detroit Lions Hire NFL Draft Boo-Meter Creator, Two Others to Personnel Department.” Detroit Free Press. July 2020 

Blackistone, Kevin. “Our Reaction to Kobe Bryant’s Death Says More About us Than Him.” Washington Post. January 2020

Joshua Finnell Discusses New Initiatives Grant Project.” CLRC. November 2019

Torban, Ali. “Episode 49: How to Communicate the Value of Visualizing Data - Planetarians Show the Way” Data Viz Today Podcast. November 2019


Ahmet Ay

Ahmet Ay

Associate Professor, Biology & Mathematics, Colgate University


Mathematical modeling, deterministic and stochastic simulations, global optimization, sensitivity analysis, network analysis, supervised and unsupervised learning.

More about Ay

Jesi Buell

Jesi Buell

Associate Professor, University Libraries, Colgate University


Data visualizations, visual literacy, design thinking, digital pedagogies and technologies

More about Buell

Cartoon of Will Cipolli

Will Cipolli

Assistant Professor, Mathematics, Colgate University


Bayesian statistics, exploratory data analysis, count regression, moderated mediation, natural language processing (twitter data)

More about Cipolli

Joshua Finnell

Joshua Finnell

Head of Research & Instruction, Associate Professor, Libraries, Colgate University


Research data management, discovery, curation

More about Finnell

Mike Loranty

Mike Loranty

Associate Professor, Geology, Colgate University


Geospatial and environmental data analysis, image analysis, and environmental sensors.

More about Loranty

Chinthaka Kuruwita

Chinthaka Kuruwita

Associate Professor, Mathematics, Hamilton College


Non parametric and semi parametric models, variable selection

More about Kuruwita

Clark Bowman

Clark Bowman

Assistant Professor, Mathematics, Hamilton College


Mathematical modeling, uncertainty quantification, Bayesian statistics, high-performance computing

More about Bowman

Michael Schuckers

Michael Schuckers

Professor of Statistics, Department of Mathematics, Computer Science and Statistics, St. Lawrence University


Applied statistics, statistical methodology, sports, bioauthentication, classification performance

More about Schuckers

Trijya Singh

Trijya Singh

Associate Professor, Mathematics, Statistics & Computer Science, Le Moyne College


Exploratory data analysis, multiple regression, logistic regression, Poisson regression, one-way and two-way ANOVA, ANCOVA, MANOVA, MANCOVA, principal components analysis, factor analysis.

More about Singh

Tasneem Zaihra

Tasneem Zaihra

Assistant Professor, Mathematics, SUNY-Brockport


Count regression, cluster analysis, exploratory data analysis, applied statistics

More about Zaihra

Student Collaborators

  • Lakshya Dhurka '23, Computer Science and Economics
  • Chris Cherniakov '24, Computer Science and Mathematical Economics


  • Chau Pham '22, Computer Science
  • Kate Robinson '22, Political Science, Philosophy
  • Sahil Lalwani '22, Economics and Applied Mathematics
  • Rose Porta '23, Smith College
  • Caio Rodrigues Faria Brighenti '20, Peace & Conflict Studies and Computer Science (Football Analyst, Detroit Lions)
  • Jake Scott ’20, Economics (Research Assistant, The Federal Reserve Board)
  • Xiaohan Li '19, Computer Science and Applied Mathematics
  • Liam Emmart '19, Computer Science (Software Engineer, Black Boiler)