Statistical Horizons

Skills are one of the simplest ways to tailor #AIagents 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. aihorizons.io/ai-skills-what…

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-r…

Join "Automatic Item Generation & Validation: A Network Integrated Approach using #LLMs in #Rstats" on Aug. 20-21 with @GolinoHudson. Learn how to use #AI to create and validate questionnaires and scales. aihorizons.io/Seminars/autom…

Back by popular demand! Build a systematic #AI assisted research workflow in “Claude-Powered Academic Research: From Ideation to Publication” w/ @jdotson77, Aug. 18-21. Use #Claude tools & #GitHub to support ideation, data wrangling, analysis, academic writing, & replicability. aihorizons.io/Seminars/claud…

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. aihorizons.io/Seminars/ai-en…

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. statisticalhorizons.com/seminars/spati…

Analyze panel data in #Rstats while using #LLMs to support model design, estimation, and interpretation. Join Stephen Vaisey in “Longitudinal Data Analysis Using R & LLMs”, Aug. 11-14, covering mixed models, fixed effects, between-within models, and dynamic panel models. aihorizons.io/Seminars/longi…

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. aihorizons.io/Seminars/ai-ag…

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

Back by popular demand! “AI Tools for Data Analysis: From Chatbots to Coworkers” w/ @botzata, 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. aihorizons.io/Seminars/ai-to…

Join "Psychometrics" w/ Matthew Diemer 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. statisticalhorizons.com/seminars/psych…

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. statisticalhorizons.com/seminars/direc…

Images of text can be difficult to analyze at scale. In the next Machine Collaborators session, @StevenDenney86 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.” machinecollaborators.org/sessions/

Join @brucedesmarais 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. statisticalhorizons.com/seminars/machi…

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. aihorizons.io/Seminars/ai-be…

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. statisticalhorizons.com/seminars/struc…

In the next free Machine Collaborators session, @LIANJie_Jason 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). machinecollaborators.org/sessions/

Working with binary or ordinal outcomes in #SEM? "Structural Equation Modeling with Categorical Data" with Sonja Winter, July 7-10, covers key approaches to model specification, estimation, and interpretation for categorical data, with examples in #Mplus and #Rstats. statisticalhorizons.com/seminars/struc…

Looking to strengthen your research with #AI tools? Join @EthanBusby 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. aihorizons.io/Seminars/llms-…

Learn the basics of #Python in 4 days! Join Edwin Dalmaijer 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. statisticalhorizons.com/seminars/pytho…