Summary, translation, and sentiment analysis of Bluesky posts on a topic using atrrr, tidyverse/ellmer, and mlverse/mall with Claude and other open models, and gistr to put the summary on GitHub.

Classification: ANU Officer Grade 6/7 (Specialist)Salary package: $93,646 to $107,795 per annum plus 17% superannuation Terms: Full time, Fixed Term (up to 18 months) Help Build National Research ...

Join an intensive two-day online workshop to master causal inference from first principles to modern causal ML: learn counterfactuals, DAGs, RCTs/IV/DiD design and diagnostics, and state-of-the-art estimators like Double Machine Learning and causal forests — all with hands-on R sessions and integrated LLM-assisted prompting for checks, placebo tests, variable engineering, and clear visual explanations of heterogeneous effects. Designed for researchers, practitioners, and policymakers who want to move beyond prediction, the course emphasizes study design, threat diagnosis, low-programming implementations, and practical reporting of assumptions and policy relevance; live via Zoom with take-home challenges, recordings, code, data, slides, and a monitored chat forum available for 30 days after the seminar. Participants receive a certificate of completion (ECTS equivalence noted for European students); basic comfort with statistics/regression helps but is not required. Learn more and enroll to sharpen your ability to estimate and explain causal effects reliably. #ComputationalSocialScience #DataAnalytics #DataScience #Economics #PublicPolicy #Statistics #Econometrics #ComputerScience #RStudio #ChatGPT #Research #ResearchTraining #Instats

Scientists are taking foundation models far beyond "predict the next word". This week we explore foundation models for health, weather, and people's choices. 💡Follow me on LinkedIn or join my growing...

Join Dr Kimberly Fessel for a one-day, hands-on workshop designed for PhD students, postdocs, faculty and research professionals who want practical, research-focused applications of generative AI: learn to integrate ChatGPT into Jupyter/Python workflows to accelerate data cleaning, exploratory analysis, visualization, synthetic data generation, prompt engineering, code explanation, and reproducible notebook practices—boosting research throughput while preserving statistical rigor. The day balances short lectures with supervised exercises and provides ready-to-use notebooks, templates, and methods to audit AI-assisted code; participants should have basic Python and statistics familiarity and will receive pre-seminar environment instructions. Delivered via Zoom with recordings and all materials available for 30 days after the seminar, the workshop also includes an Instats certificate of completion (ECTS-equivalent where indicated for European students). Enroll now to gain immediately applicable skills that make your research more efficient, reproducible, and transparent. #ArtificialIntelligence #ComputationalSocialScience #DataAnalytics #DataScience #Statistics #ComputerScience #ChatGPT #Jupyter #Python #Research #ResearchTraining #Instats

CS3 lab for Computational Survey and Social Science is an interdisciplinary group of researchers from various fields, such as social

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Join a one-day, hands-on workshop on modern statistical methods for network data led by Professor Tianxi Li (School of Statistics, University of Minnesota). Designed for PhD students, faculty, and professional researchers, the workshop pairs concise theory with live R demonstrations and reproducible workflows to cover network representations and summaries, statistical inference and null models, probabilistic models (stochastic block and latent-space), community detection and link prediction, attributed-network analysis, and privacy-preserving release of relational data. Participants will leave able to select and fit appropriate models, implement latent-space and block models in R, design proper cross-validation for link prediction, perform simulation-based model checks, and apply best practices for computation and reproducible reporting (bring a laptop with R/RStudio; basic R, linear algebra, and probability assumed). The seminar is livestreamed via Zoom, all recordings and materials are available for 30 days after the event, and attendees receive an Instats certificate of completion (ECTS-equivalent points indicated for European students). #ComputationalSocialScience #DataScience #SocialTheory #Statistics #MachineLearning #PublicPolicy #Sociology #ComputerScience #R #Research #ResearchTraining #Instats

Join an intensive two‑session seminar led by Professor Charles Crabtree (Dartmouth) on designing and implementing audit (correspondence) experiments—one of the most powerful tools for measuring real‑world discrimination. Combining experimental logic, ethical practice, and hands‑on R coding, the workshop covers operationalizing hypotheses, name selection and validation, power analysis, within/between‑subject designs, threats to validity and robustness checks, IRB‑ready materials and pre‑registration, automated pipelines and outcome instrumentation, and transparent replication practices. Aimed at PhD students, faculty, and researchers in the social sciences planning an audit study within the year, participants will leave with starter scripts, sample data, pre‑analysis templates, and the practical skills to produce publishable, policy‑relevant work. Delivered live via Zoom with recordings and a monitored Q&A available for 30 days after the seminar, plus a certificate of completion (ECTS‑equivalent where indicated) — register or learn more today. #ComputationalSocialScience #Economics #PoliticalEconomy #PoliticalScience #Sociology #Statistics #DataScience #PublicPolicy #SocialTheory #R #RStudio #Research #ResearchTraining #Instats