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Профиль

Christoph Scheuch

Профиль Vively

Making finance and economics research more transparent and reproducible | Data Editor @ Society for Financial Studies · Researcher @ HU Berlin · Co-creator of tidy-finance.org & econdataverse.org

New paper with @floswald.bsky.social @lars.vilhuber.com and collaborators on reproducibility with LLMs, including what researchers should document to make LLM-assisted work transparent ✌️ arxiv.org/abs/2607.24372

0216

Can LLMs teach you everything about AI? In theory, yes. In practice, it’s overwhelming. That’s why @niccrane.bsky.social and I built a course for @athlyticz.bsky.social. It cuts the noise and gives a clear workflow using R across ML and LLMs, from sports to beyond. athlyticz.com/llm

SynergiZing ML & LLMs in R | tidymodels + RAG CourseLearn production R workflows blending tidymodels with LLMs — tool-calling, RAG with ragnar, Shiny deployment, and vitals evaluation.athlyticz.com
040

Big milestone: {econdataverse} is now on CRAN #rstats. Install & load multiple #EconDataverse packages in one step, just like the {tidyverse} 🥹

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Looking forward to my first pure #Python conference ever at PyData Berlin 🐍 If you are interested in getting to know Shinylive and WebAssembly in Python, feel free to join my talk tomorrow at noon titled „Building Reactive Data Apps with Shinylive and WebAssembly“ ✌️

010

Another new CRAN release with @tealemery.bsky.social 💪 {datacommons} is a wrapper for the Google Data Commons API v2, which provides unified access to global public stats in a knowledge graph, thus reducing data-wrangling pain. Feedback as always very welcome 🙏 github.com/tidy-intelli...

GitHub - tidy-intelligence/r-datacommons: Client for the Google Data Commons API V2Client for the Google Data Commons API V2. Contribute to tidy-intelligence/r-datacommons development by creating an account on GitHub.github.com
1100

New #RStats package on CRAN: {imfweo} (w/ @tealemery.bsky.social) gives easy access to IMF’s World Economic Outlook. It's part of the #EconDataverse, helping economists + financial professionals work with sovereign-level data. Feedback welcome ✌️ github.com/Teal-Insight...

GitHub - Teal-Insights/r-imfweo: Seamless Access to IMF World Economic Outlook (WEO) DataSeamless Access to IMF World Economic Outlook (WEO) Data - Teal-Insights/r-imfweogithub.com
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I’m a big fan of the Positron IDE, so when @rachaeldempsey.bsky.social‬ asked me to provide a testimonial, I didn’t hesitate 🙏

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By popular demand over on LinkedIn, I’ve kicked off a series on deploying R/Python projects to Azure. First up: version control, containerisation, build pipelines & hosting. Should I include #Python or keep it focused on #rstats? blog.tidy-intelligence.com/posts/deploy...

Shiny Apps in the Azure CloudA practical guide to deploying Shiny Apps in the Azure Cloudblog.tidy-intelligence.com
0131

New on CRAN: {oecdoda} 📢 Access & analyze Official Development Assistance (ODA) data from the OECD API in R - inspired by Jorge Rivera’s {oda-reader}. Part of #EconDataverse. Feedback welcome 🙏 tidy-intelligence.github.io/r-oecdoda/

Seamless Access to OECD Official Development Assistance (ODA) DataAccess and Analyze Official Development Assistance (ODA) data using the OECD API <https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf>. O...tidy-intelligence.github.io
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What was the tech stack when you first learned #Python 🐍 (IDE, environment, data storage, etc)? What does it look like today? 🤔

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