Skills are one of the simplest ways to tailor AI agents to your work. On the AI Horizons blog, Charles Crabtree explains what AI agent skills are, how they support consistent research workflows, and where to find examples you can try.

AI Agent Skills: What They Are & Why Use Them | Charles Crabtree

In this blog post, Charles Crabtree explains what AI agent skills are and how researchers can create and use them to build more effective AI workflows.

aihorizons.io

Move beyond basic #AI prompting with the AI for Research Workflows and Agents Certification. This 4-seminar program builds practical skills for collaborating with #LLMs and #AIagents, managing complex research workflows, and keeping human judgment central. aihorizons.io/resources/ai...

Join "Automatic Item Generation & Validation: A Network Integrated Approach using #LLMs in #Rstats" on Aug. 20-21 with @hudsongolino.bsky.social. Learn how to use #AI to create and validate questionnaires and scales.

Back by popular demand! Build a systematic #AI assisted research workflow in “Claude-Powered Academic Research: From Ideation to Publication” w/ Jeffrey Dotson, Aug. 18-21. Use #Claude tools & #GitHub to support ideation, data wrangling, analysis, academic writing, & replicability.

Learn to use #AI agents in audit and correspondence #experiments without losing design control. In “AI-Enhanced Audit and Correspondence Experiments,” Aug. 18-21, Charles Crabtree covers signal control, treatment delivery, validation, and transparent documentation.

Join Simon Brewer on August 11-14 for "Spatial Analysis of Health Data"! Explore how geospatial #healthdata provide the tools to better understand & tackle public health challenges while addressing the issues that can arise while working with this type of data.

Spatial Analysis of Health Data | Statistical Horizons

Live online course on spatial analysis of health data. Learn to work with spatial data, visualize patterns & build spatial regression models.

statisticalhorizons.com

Analyze panel data in #Rstats while using #LLMs to support model design, estimation, and interpretation. Join @stephenvaisey.com in “Longitudinal Data Analysis Using R & LLMs”, Aug. 11-14, covering mixed models, fixed effects, between-within models, and dynamic panel models.

What research tasks are safe to speed up with AI—and which require human judgment? Join Charles Crabtree for “AI Agent-Driven Research Workflows,” Aug. 4-7, and learn how to use #AI agents responsibly through structured workflows, checks, and documentation.

Explore Monte Carlo simulations, a valuable tool for understanding, evaluating, comparing, & applying a wide array of statistical methodologies. Join @ashleynaimi.bsky.social Aug. 4-7 for "Design & Analysis of Simulation Studies" to learn to implement your own simulation using #Rstats.

Simulation Studies | Online Workshop | Statistical Horizons

This live online course taught by Ashely Naimi, Ph.D., focuses on how to use experimental principles to design & analyze Monte Carlo simulation studies.

statisticalhorizons.com

Back by popular demand! “AI Tools for Data Analysis: From Chatbots to Coworkers” w/ Boris Nikolaev, Jul. 29-30. Build reliable #AI-assisted data analysis workflows and learn to clean data, run analyses, create visualizations, and evaluate outputs using today’s AI tools.

Join "Psychometrics" w/ @mattadiemer.bsky.social on July 28-31 to learn about #psychometrics and how to to understand, detect, and remediate bias in measures. Topics include exploratory factor analyses, confirmatory factor analyses, MIMIC models, invariance & more.

Psychometrics Course | Online Training | Statistical Horizons

Live online Psychometrics course. Learn latent variables, exploratory & confirmatory factor analysis, & MIMIC models.

statisticalhorizons.com

Looking for a thorough intro to #DAGs? Join "Directed Acyclic Graphs for Causal Inference" w/ Felix Elwert on July 28-31 to learn the essential elements for #causal reasoning with DAGs. We'll also use DAGs to discuss many important challenges in observational data analysis.

DAGs for Causal Inference | Online Training | Statistical Horizons

Live online course on directed acyclic graphs (DAGs) for causal inference. Uncover causal relationships in non-experimental data.

statisticalhorizons.com

Images of text can be difficult to analyze at scale. In the next Machine Collaborators session, @stevendenney86.bsky.social discusses how OCR & LLMs can turn them into analyzable data. Join June 25 at 7pm ET (11pm UTC) for “From Pixels to Patterns: Vision-Language OCR and LLM-Based Text Analysis."

Machine Collaborators

A global conversation series on what happens when researchers work with AI.

machinecollaborators.org

Join @brucedesmarais.bsky.social for "Machine Learning" July 21-24 to learn how #machinelearning can be used to uncover valuable insights, identify optimal model structures, perform variable selection, and deliver highly accurate predictions from data.

Machine Learning | Online Training | Statistical Horizons

Live online course on machine learning methods like cross-validation, model evaluation, variable selection, and others.

statisticalhorizons.com

Transform how you design and analyze experiments in “Using AI to Build Better Experiments” with Charles Crabtree, July 14-17. Discover how to use #LLMs to create materials, augment studies, and interpret results.

Learn advanced structural equation modeling #SEM topics like instrumental variables, alternative estimation methods, multiple group models, & models for longitudinal data at your own pace. 4-week course "SEM: Part 2" On Demand with Paul Allison starts July 13.

Advanced SEM | On-Demand Course | Statistical Horizons

Online on-demand course on advanced SEM methods, instrumental variables, group comparisons, and longitudinal models.

statisticalhorizons.com

In the next free Machine Collaborators session, Jie (Jason) Lian presents “Learning with AI,” on what it means for researchers to expand their knowledge boundaries while understanding the products, processes, and limits of AI-assisted workflows. Join June 11 at 7pm ET (11pm UTC).

Machine Collaborators

A global conversation series on what happens when researchers work with AI.

machinecollaborators.org

Working with binary or ordinal outcomes in #SEM? "Structural Equation Modeling with Categorical Data" with @winterstat.bsky.social, July 7-10, covers key approaches to model specification, estimation, and interpretation for #categorical data, with examples in #Mplus and #Rstats.

Categorical SEM | Online Training | Statistical Horizons

Live online course introducing structural equation modeling with binary and ordinal outcomes using Mplus and lavaan (a package for R).

statisticalhorizons.com

Looking to strengthen your research with #AI tools? Join @ethanbusby.bsky.social on July 7-10 for ""Using #LLMs for Social Science Research""! Learn the fundamentals of large language models (like #ChatGPT) and how to integrate them into your research.

Learn the basics of #Python in 4 days! Join @dalmaijer.bsky.social for "Introduction to Python for Data Analysis" on June 23-26 to explore how to use Python for data analysis, including handling datasets and writing full analyses.

Python for Data Analysis | Online Training | Statistical Horizons

Live online Python for data analysis course for researchers to use Python in data science, statistics, regression & machine learning.

statisticalhorizons.com

How can agentic #AI help researchers share their work beyond the academy? Join @akoustov.bsky.social on Thurs., May 28 at 7pm ET (11pm UTC) as he presents “Using Agentic AI to Improve Your Public Engagement as a Researcher” in the next Machine Collaborators session. Learn more:

Machine Collaborators

A global conversation series on what happens when researchers work with AI.

machinecollaborators.org

Join "Meta-Analysis" w/ David Wilson June 23-26 to learn to conduct all aspects of a meta-analysis. Search for studies to include, code & extract data, compute effect sizes, estimate models, explore publication selection bias, & report results w/ #Rstats, @statacorp.bsky.social, or #SPSS.

Meta Analysis | Online Training | Statistical Horizons

Live online course on meta-analysis. Learn to compute effect sizes, fit fixed & random-effects models, & run moderator/meta-regression analyses.

statisticalhorizons.com

Join Gonzalo Vazquez-Bare on June 23-26 for a course on the latest developments in #DifferenceinDifferences. You will learn to apply classical and novel methods for estimating treatment effects and to evaluate the assumptions behind them.

Difference in Differences | Online Training | Statistical Horizons

Live online course on difference in differences. Learn to use DiD models for causal inference, treatment effects, and policy evaluation.

statisticalhorizons.com

Learn how interpretable #machinelearning can reveal hidden structure in data, improve predictive performance, & add transparency in @cynthiarudin.bsky.social Distinguished Speaker seminar, “Interpretable Machine Learning: Visualization, Sparse Models, & Neural Networks,” June 17.

Interpretable Machine Learning Seminar | Statistical Horizons

Cynthia Rudin’s online Distinguished Speaker seminar explores interpretable machine learning, from visualization to neural networks.

statisticalhorizons.com

Build reliable #AI-assisted data analysis workflows in “AI Tools for Data Analysis: From Chatbots to Coworkers” w/ Boris Nikolaev, June 15-16. Learn to clean data, run analyses, create visualizations, and evaluate outputs using today’s AI tools.

In his blog post, “How AI Can Help You Build Better Experiments,” Charles Crabtree explains why LLMs are becoming important tools for experimental research—and why validation, documentation, and human review still matter.

How AI Can Help You Build Better Experiments | Charles Crabtree

Charles Crabtree explains how AI can support experimental design, from generating treatments and analyzing text to building chatbots & validating materials.

aihorizons.io

Are you a researcher burdened by costly and time-consuming data collection? Join @lakens.bsky.social for "Sample Size Justification" on June 9-12 to learn how to justify your sample size, make the most of your resources, and efficiently test your hypothesis.

Sample Size Justification | Online Training | Statistical Horizons

Live online course on sample size justification. Learn to determine how much data you need to collect to answer research questions.

statisticalhorizons.com

Join the Machine Collaborators conversation Thurs., May 14, 7pm ET (11pm UTC) as Alexis Palmer presents “Silicon Sampling Under Different Sources of Uncertainty." Learn more:

Machine Collaborators

A global conversation series on what happens when researchers work with AI.

machinecollaborators.org

Join Adam D. Rennhoff for "Interpretable Machine Learning", June 9-12. Grounded in familiar statistical ideas, you'll learn tools and workflows to interpret, explain, and communicate complex #MachineLearning models, with hands-on demos in #Rstats.

Interpretable Machine Learning Course | Statistical Horizons

Practical live online course on interpretable machine learning with SHAP, LIME, PDPs, and model explainability tools.

statisticalhorizons.com

Join @hudsongolino.bsky.social for "LLM Text Generation in R: Practical Prompt Engineering" on June 3-4. In 8 hours (over 2 days), you'll learn to integrate #LLM models with #Rstats, engineer effective prompts, and apply LLMs to real research tasks and data analysis.