Faculty

Institution

Unit

Venue

Ben Baumer

Associate Professor of Statistical & Data Sciences

Smith College

Affiliations

Smith College

Department Of Art

Department Of Biological Sciences

Department Of Chemistry

Department Of Mathematical Sciences

Department Of Physics

Department Of Psychology

Department Of Statistical And Data Sciences

Department of Film and Media Studies

Department of Landscape Studies

Studies Of French

Studies Of Italian

Study Of Education And Child

Department of Exercise & Sport Studies

Statistical & Data Sciences

Statistical and Data Sciences

Ben Baumer is currently serving as an Art Associate Professor of Statistical & Data Sciences at Smith College.

Honors

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Experiences

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Education

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Ben Baumer

Smith College

Associate Professor of Statistical & Data Sciences

You can click a keyword to filter the displayed items

data science statistics data management scientific data analytics data modeling statistical software data integration education computer science learning analytics data-driven science higher education knowledge discovery computational statistics data literacy responsible data management applied statistics sport management data mining information management information visualization sport economics data preparation statistical methodology statistical analysis data wrangling data transformation (computing) computing education engineering ethics sport medicine high-performance sport information ethics data practices modern data science medium data academic ethic stem education graphical analysis repeated games sport science statistical thinking sport business empirical algorithmics political transformation decoloniality anti-imperialism game analytics introductory statistics north american sport best team win unified approach adjustable sensing ranges data science course laboratory medicine tropical medicine neglected tropical diseases curriculum development student teaching comparative analysis digital ethics computer ethics case studies performance measurement performance analysis statistical foundation data management issue entrepreneurship research curriculum guidelines undergraduate programs statistics curricula preparing students reproducible analysis tool preservation techniques human fecal specimen hookworm dna discrete mathematics mathematics

Notable Scholarly Works

Notable Federal Grants

Collaborators

TIDYCHANGEPOINT: A Unified Framework for Analyzing Changepoint Detection in Univariate Time Series. Computational Statistics (2026)

unified frameworktrend analysisnonlinear time seriestime seriesunivariate time seriesdata scienceapplied statisticschangepoint detectionapplied mathematicsstatisticschange detection

Earned Outcome Metrics Outperform Recommended Open Abdominal Aortic Aneurysm Repair Volume Guidelines in Discriminating Perioperative Mortality Among Centers. Journal of Vascular Surgery (2025)

cardiovascular diseaseperioperative caresurgeryopen procedurediscriminating perioperative mortalityoutcomes researchcardiovascular surgerypatient safetyemergency surgeryemergency medicinevascular surgerymortality

Reporting of Regression Models for Ordinal Responses in Sports Sciences Field: A Systematic Review. Wiley Interdisciplinary Reviews Computational Statistics (2025)

ordinal responsessport physical therapyhigh-performance sportsport sciencephysical activitysport medicinekinesiologysports sciences fieldregression modelshuman performancehealth sciencesstatistics

Analyzing Baseball Data With R. (2024)

knowledge discoverydata and information visualizationbaseball datastatistical softwarestatistical analysisdata miningdata modelingdata sciencecomputational statisticsapplied statisticsdata-driven scienceanalyticscomputer analysis

Building Ramps and Pathways to Data Science in K-12, Minority-Serving Institutions, and Two-Year Colleges. Scatterplot (2024)

Rachel SaidiHelen BurnBen BaumerJason BlackDebzani DebZarek Drozda

college pipelineminority serving institutionstwo-year collegeshigher educationdata sciencedata management

TIDYCHANGEPOINT: A Tidy Framework for Changepoint Detection Analysis. (2024)

knowledge discoveryshift detectioninformation visualizationchange impact analysisdata and information visualizationstatistical softwaredata modelingdata miningdata sciencetidy frameworkanalyticschange detection

Big Ideas in Sports Analytics and Statistical Tools for Their Investigation. Wiley Interdisciplinary Reviews Computational Statistics (2023)

Benjamin S. BaumerGregory J. MatthewsQuang Nguyen

big ideasstatistical toolssports analyticsstatistics

Data Science Transfer Pathways From Associate’s to Bachelor’s Programs. Harvard Data Science Review (2023)

informaticsdata integrationdata migrationlearning analyticshigher educationdata modelingdata sciencescientific data

Editor’s Note: On Fairness in Sports Analytics. Journal of Quantitative Analysis in Sports (2023)

sports analyticsbiasfairnessalgorithmic fairnesssocial choicestatistics

More Math for Data Scientists, Not Less. CHANCE (2023)

informaticsdata literacydata scientistslearning analyticscomputational thinkingmathematics educationdata sciencescientific dataanalytics

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Ben Baumer

Associate Professor of Statistical & Data Sciences

Smith College

Affiliations

Smith College

Department Of Art

Department Of Biological Sciences

Department Of Chemistry

Department Of Mathematical Sciences

Department Of Physics

Department Of Psychology

Department Of Statistical And Data Sciences

Department of Film and Media Studies

Department of Landscape Studies

Studies Of French

Studies Of Italian

Study Of Education And Child

Department of Exercise & Sport Studies

Statistical & Data Sciences

Statistical and Data Sciences

Ben Baumer is currently serving as an Art Associate Professor of Statistical & Data Sciences at Smith College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ben Baumer

Smith College

Associate Professor of Statistical & Data Sciences

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

TIDYCHANGEPOINT: A Unified Framework for Analyzing Changepoint Detection in Univariate Time Series. Computational Statistics (2026)

unified frameworktrend analysisnonlinear time seriestime seriesunivariate time seriesdata scienceapplied statisticschangepoint detectionapplied mathematicsstatisticschange detection

Earned Outcome Metrics Outperform Recommended Open Abdominal Aortic Aneurysm Repair Volume Guidelines in Discriminating Perioperative Mortality Among Centers. Journal of Vascular Surgery (2025)

Reporting of Regression Models for Ordinal Responses in Sports Sciences Field: A Systematic Review. Wiley Interdisciplinary Reviews Computational Statistics (2025)

ordinal responsessport physical therapyhigh-performance sportsport sciencephysical activitysport medicinekinesiologysports sciences fieldregression modelshuman performancehealth sciencesstatistics

Analyzing Baseball Data With R. (2024)

Building Ramps and Pathways to Data Science in K-12, Minority-Serving Institutions, and Two-Year Colleges. Scatterplot (2024)

Rachel SaidiHelen BurnBen BaumerJason BlackDebzani DebZarek Drozda

college pipelineminority serving institutionstwo-year collegeshigher educationdata sciencedata management

TIDYCHANGEPOINT: A Tidy Framework for Changepoint Detection Analysis. (2024)

Big Ideas in Sports Analytics and Statistical Tools for Their Investigation. Wiley Interdisciplinary Reviews Computational Statistics (2023)

Benjamin S. BaumerGregory J. MatthewsQuang Nguyen

big ideasstatistical toolssports analyticsstatistics

Data Science Transfer Pathways From Associate’s to Bachelor’s Programs. Harvard Data Science Review (2023)

informaticsdata integrationdata migrationlearning analyticshigher educationdata modelingdata sciencescientific data

Editor’s Note: On Fairness in Sports Analytics. Journal of Quantitative Analysis in Sports (2023)

sports analyticsbiasfairnessalgorithmic fairnesssocial choicestatistics

More Math for Data Scientists, Not Less. CHANCE (2023)

informaticsdata literacydata scientistslearning analyticscomputational thinkingmathematics educationdata sciencescientific dataanalytics

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3
4
5
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10 / page