Institute for Research in Statistics and its Applications | Institute for Research in Statistics and its Applications

Statistics is the science of learning from data. Statisticians collect, organize, analyze, interpret, and present data. We are constantly seeking better ways to do that in more and more challenging situations, using mathematics, computing, and insight. People use statistics in business, industry, medicine, government, and scientific research.

Upcoming Events

Collaborative Workshop on Socioeconomic Inequality (November 17, 2023)

Many cartoon hands of various racial backgrounds hold an event sign titled Collaborative Workshop on Socioeconomic Inequality

Past Events

<RUN>:\THE\WORLD Machine Learning Camp for High School Students (June 20-30, 2023)

A U of M lawn and building in the background, with graphics of a student with a computer and a robot in the foreground

The Fast and the Curious: Modern Markov Chain Monte Carlo (May 18-20, 2023)

Python and Statistical Analysis (October 19-21, 2021)

Python and Statistical Analysis Event Flyer

noRth 2021 (September 29-30, 2021)

Questions About Reproducibility in an Age of Big Data (May 6-8, 2021)

Event flyer for Questions About Reproducibility in an Age of Big Data

Unlocking the Agricultural Data Revolution (September 24-25, 2020)

Unlocking the Agricultural Data Revolution Poster Image

noRth 2020 (July 14-15, 2020)

Women in Data Science Symposium (November 16, 2019)

Performing Linear Regression with R (November 1, 2019)

Performing Linear Regression Event Flyer Image

Conversations about Science and Society: Personality, Sex, and Reproducibility (October 29, 2019)

Conversations about Science and Society Event Flyer Image

Record Linkage Workshop (September 20, 2019)

Record Linkage Workshop Event Flyer Image

Recent Progress in Foundational Data Science (September 16-17, 2019)

Recent Progress in Foundational Data Science Poster Image

noRth: A Regional Conference for Intermediate R Users (August 15-16, 2019)

Introduction to Reproducible Data Science with R (August 14-15, 2019)

IRSA Conference 2019: Causal Inference and Data Science (May 2-3, 2019)

Cook's Distance and Beyond: A Conference Celebrating the Contributions of R. Dennis Cook to Statistical Science (March 22-23, 2019)

Individual-Level Analyses with Series of Cross-Sectional Data (March 1, 2019)

Individual-Level Analyses with Series of Cross-Sectional Data Poster - Small

Modeling Natural Catastrophes: Is it a Complete Disaster (November 27, 2018)

Blockchain: Finance and Data Perspectives (November 6, 2018)

Big Data and the Future of Social Research (October 11, 2018)

Measuring the Political Arena (September 24, 2018)

Introduction to Data-Analysis with R and Reproducible Data (August 16-17, 2018)

2018 Intro to DataAnalysis with R and Reproducible Data Science Flyer

IRSA Annual Conference: Statistics and Data Science for Earth Systems (May 3-5, 2018)

Statistics, Monte Carlo, and so Much More: A Conference in Honor of Charlie Geyer (April 6-7, 2018)

Data Science, Foundations, Challenges and Opportunities (November 7, 2017)

Mixed-Effects Models (October 10, 2017)

NeuroStatstics (September 21, 2017)

Introduction to Data Analysis with R and Reproducible Data Science R (August 31-September 1, 2017)

Neuro-Statistics: The Interface between Neuroscience and Statistics

Services that we offer

Statistical Consulting:
We offer statistical consulting services to people both inside and outside of the University. Visit our consulting page to learn more.

Event Assistance:
We provide logistical support to university entities and organizations interested in hosting educational statistics-related events and activities. Initiatives must foster interdisciplinary collaboration among statisticians, data scientists, and subject matter experts. Please connect our google form to learn more or to propose an event.