Volunteer support for faculty research involving data science and data management

About the Collaboratory

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

Leveraging the New York Six Liberal Arts Consortium (NY6) as a starting point, our intention is to build a cohort of statisticians and data librarians from regional colleges and universities, and from within the community. These experts will provide consultation and support in the following areas for researchers unaffiliated with a large research institution:

  • Statistical methodology
  • Secure and safe data storage
  • Data mining and manipulation

Funding

This pilot project is funded by a 2018 Central NY Libraries Resources Council New Initiatives Grant.

Collaborations

Some examples of how the collaboratory is assisting research.

Assisted Papers

The paradox of group mind: "People in a group" have more mind than "a group of people". Journal of Experimental Psychology.

“We Are All Broncos”: Hockey, Tragedy, and the Formation of Canadian Identity. Sociology of Sport Journal.

Coming Soon

  • Racial Biases in Officers’ Decisions to Frisk are Amplified for Black People Stopped among Groups 
  • Mp Fracking Twitter: Applying the Narrative Policy Framework to Fracking “Debates” in New York

Collaborators

Ahmet Ay

Ahmet Ay

Associate Professor, Biology & Mathematics, Colgate University

Expertise

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

Expertise

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

More about Buell

Cartoon of Will Cipolli

Will Cipolli

Assistant Professor, Mathematics, Colgate University

Expertise

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

Expertise

Research data management, discovery, curation

More about Finnell

Chinthaka Kuruwita

Chinthaka Kuruwita

Associate Professor, Mathematics, Hamilton College

Expertise

Non parametric and semi parametric models, variable selection

More about Kuruwita

Clark Bowman

Clark Bowman

Assistant Professor, Mathematics, Hamilton College

Expertise

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

More about Bowman

Michael Schuckers

Michael Schuckers

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

Expertise

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

More about Schuckers

Trijya Singh

Trijya Singh

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

Expertise

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

Expertise

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

More about Zaihra

Student Collaborators

  • Caio Rodrigues Faria Brighenti '20, Peace & Conflict Studies
  • Chau Pham '22, Computer Science
  • Jake Scott ’20, Economics

Ask for Help

If you are unable to find the information you need in the documentation available online, the ITS Service Desk is available to assist.