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 will soon be launching a resource page. This page will provide researchers access to Rshiny applets and illustrating examples that address common statistical procedures. Check back soon!
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.
Cooley, Erin, J. L. Brown-Iannuzzi, R. F. Lei, and William Cipolli. 2019. Complex intersections of race and class: Among social liberals, learning about White privilege reduces sympathy, increases blame, and decreases external attributions for White people struggling with poverty. Journal of Experimental Psychology: General, 148(12), 2218–2228. https://doi.org/10.1037/xge0000605
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
Associate Professor, Biology & Mathematics, Colgate University
Mathematical modeling, deterministic and stochastic simulations, global optimization, sensitivity analysis, network analysis, supervised and unsupervised learning.
Associate Professor, University Libraries, Colgate University
Data visualizations, visual literacy, design thinking, digital pedagogies and technologies
Assistant Professor, Mathematics, Colgate University
Bayesian statistics, exploratory data analysis, count regression, moderated mediation, natural language processing (twitter data)
Head of Research & Instruction, Associate Professor, Libraries, Colgate University
Research data management, discovery, curation
Associate Professor, Geology, Colgate University
Geospatial and environmental data analysis, image analysis, and environmental sensors.
Associate Professor, Mathematics, Hamilton College
Non parametric and semi parametric models, variable selection
Assistant Professor, Mathematics, Hamilton College
Mathematical modeling, uncertainty quantification, Bayesian statistics, high-performance computing
Professor of Statistics, Department of Mathematics, Computer Science and Statistics, St. Lawrence University
Applied statistics, statistical methodology, sports, bioauthentication, classification performance
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.
Assistant Professor, Mathematics, SUNY-Brockport
Count regression, cluster analysis, exploratory data analysis, applied statistics
- 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)
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