Analysing Spatial Dynamics with GIS and R begins in two days. Join us to learn practical techniques for analysing spatial data in R and GIS.
🗓️ 12/02
🔗 https://edin.ac/4qeEiYr
10.02.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
One week to go: Getting Started with Text Analysis with Python. Explore foundational methods for processing and analysing textual data in Python.
🗓️16/02 & 23/02
🔗 https://edin.ac/4907XxR
09.02.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Digital Method of the Month: Text Analysis begins in two days. Explore strategies for analysing textual data and applying them to your research questions.
🗓️ 09/02
🔗https://edin.ac/3MFekPz
07.02.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Calling CAHSS at The University of Edinburgh Researchers! The Centre for Data, Culture & Society at the University of Edinburgh is now accepting nominations for the CDCS Digital Research Prizes! https://www.cdcs.ed.ac.uk/cdcs-prizes #EdCDCS
06.02.2026 15:00 — 👍 0 🔁 0 💬 0 📌 0
Processing Geographical Data in QGIS introduces techniques for cleaning, preparing, and managing spatial datasets for analysis.
🗓️ 27/02
🔗 https://edin.ac/3MIozT9
06.02.2026 11:00 — 👍 2 🔁 0 💬 0 📌 0
One week to go: Analysing Spatial Dynamics with GIS and R. Develop skills in spatial analysis and mapping for research applications.
🗓️ 12/02
🔗 https://edin.ac/4qeEiYr
05.02.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Good Data Visualisation with R begins in two days. Join us to practice building clear, compelling visuals for your research using R.
🗓️ 06/02 & 13/02
🔗 https://edin.ac/44TQh5R
04.02.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
One week to go: Digital Method of the Month: Text Analysis. Learn practical methods for processing and exploring text data in research.
🗓️ 09/02
🔗 https://edin.ac/3MFekPz
02.02.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Data Analysis Workflow Design begins in two days. Join us to develop clear, reproducible workflows for your research data analysis tasks.
🗓️ 02/02
🔗https://edin.ac/4p4xig2
31.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
One week to go: Good Data Visualisation with R. Learn how to transform data into informative, professional visualisations using R.
🗓️06/02 & 13/02
🔗 https://edin.ac/44TQh5R
30.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Getting Started with Data Analysis in Python covers foundational Python skills for data analysis, including handling datasets and applying basic techniques.
🗓️ 18/02 & 25/02
🔗https://edin.ac/4pU0pUg
28.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Getting Started with Text Analysis with Python introduces Python-based tools and workflows for basic text analysis in research.
🗓️16/02 & 23/02
🔗https://edin.ac/4907XxR
26.01.2026 12:00 — 👍 0 🔁 1 💬 0 📌 0
One week to go: Data Analysis Workflow Design. Learn to plan and organise your data analysis pipeline to reduce errors and improve reproducibility.
🗓️ 02/02
🔗 https://edin.ac/4p4xig2
26.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Build interdisciplinary connections at the University of Edinburgh by attending the CDCS February Fika. Engage in enriching conversations and network with peers. https://www.cdcs.ed.ac.uk/all/events/cdcs-february-fika #EdCDCS
25.01.2026 15:00 — 👍 0 🔁 0 💬 0 📌 0
Analysing Spatial Dynamics with GIS and R introduces methods for exploring spatial data patterns using R and GIS tools.
🗓️12/02
🔗https://edin.ac/4qeEiYr
22.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Digital Method of the Month: Statistics begins in two days. Explore approaches to choosing the right statistical methods for your research data and questions.
📅 23 Jan 2026 | 10:00-11:00
👉 https://edin.ac/4s7LjMI
21.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Getting Started with Python for Research begins in two days. Build foundational Python skills, explore functions and collections, and start applying code to real research data.
📆 22 Jan → 5 Feb | 14:00-16:00
👉 https://edin.ac/44yOrqH
20.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Getting Started with R for Research begins in two days. Join us to gain hands-on experience with RStudio, learn core R functions, and explore data manipulation techniques essential for reproducible research.
📆 21 & 28 Jan | 14:00-16:00
👉 https://edin.ac/3L6K5R1
19.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Good Data Visualisation with R introduces principles and techniques for creating clear, effective graphics to communicate research findings.
📅 6 Feb & 13 Feb | 10:00-12:00
👉 https://edin.ac/44TQh5R
16.01.2026 12:00 — 👍 0 🔁 0 💬 0 📌 0
One week to go: Digital Method of the Month: Statistics. Join us for a discussion on which statistical techniques to apply and why, supporting informed data analysis decisions.
📅 23 Jan 2026 | 10:00-11:00
👉 https://edin.ac/4s7LjMI
16.01.2026 11:00 — 👍 1 🔁 0 💬 0 📌 0
Starting next week: Getting Started with Python for Research. Gain hands-on experience with Python basics, using Notebooks to write and run code for practical research tasks.
📆 22 Jan → 5 Feb | 14:00-16:00
👉 https://edin.ac/44yOrqH
15.01.2026 11:00 — 👍 1 🔁 0 💬 0 📌 0
Starting next week: Getting Started with R for Research. Build foundational R and RStudio skills including handling projects, writing basic code, and using pipes for data manipulation in research contexts.
📆 21 & 28 Jan | 14:00-16:00
👉 https://edin.ac/3L6K5R1
14.01.2026 11:00 — 👍 1 🔁 0 💬 0 📌 0
Data Analysis Workflow Design helps researchers structure their analysis for efficiency, transparency, and reproducibility across complex research projects.
📅 2 Feb | 14:00-17:00
👉 https://edin.ac/4p4xig2
12.01.2026 11:00 — 👍 1 🔁 0 💬 0 📌 0
Delighted to announce that the CDCS Annual Report 2024/25 is now available. Read our overview of this year's achievements here: https://www.cdcs.ed.ac.uk/annual-report-24-25 #EdCDCS
09.01.2026 13:30 — 👍 1 🔁 0 💬 0 📌 0
Digital Method of the Month: Statistics, How to Pick the Right Method explores strategies for selecting appropriate statistical methods based on research questions and data types.
📅 23 Jan 2026 | 10:00-11:00
👉 https://edin.ac/4s7LjMI
09.01.2026 11:00 — 👍 1 🔁 0 💬 0 📌 0
Getting Started with Python for Research is a three-session introductory course. Learn Python syntax, logic, functions, and data structures to support research workflows across disciplines.
📆 22 Jan → 5 Feb | 14:00-16:00
👉 https://edin.ac/44yOrqH
08.01.2026 11:00 — 👍 0 🔁 0 💬 0 📌 0
Getting Started with R for Research is a two-session introductory course for researchers new to R and RStudio. Learn installation, project setup, and basic R syntax, plus explore data manipulation techniques for your research workflows.
📆21 & 28 Jan 2026 | 14:00-16:00
👉https://edin.ac/3L6K5R1
07.01.2026 11:00 — 👍 1 🔁 0 💬 0 📌 0
Our Winter–Spring 2026 Training Programme is live. This includes a range of workshops on digital research methods, including AI, data analysis, text & document processing, and GIS.
Explore the full programme here:
https://www.cdcs.ed.ac.uk/all/news/2025-12/training-winter-spring-2026
15.12.2025 17:15 — 👍 0 🔁 0 💬 0 📌 0
Join us tomorrow for our Silent Disco where we'll create a gazetteer with LP-TSV and look at how to use it in research.
Beginner friendly.
📆 Fri 12 Dec
🔗https://edin.ac/473krni
11.12.2025 10:00 — 👍 0 🔁 0 💬 0 📌 0
Today's the day! We're excited to welcome you to "How Users Imagine Archival Research" with Dorothy Berry. See you there! https://edin.ac/4pfKrDp #EdCDCS. Chair: Melissa Terras
10.12.2025 11:30 — 👍 1 🔁 1 💬 0 📌 1
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HCI / Interaction Design lecturer at @DesignInf.bsky.social, Edinburgh. designing methods and artefacts to promote discussion and reflection about technology. She/her.
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Journalism | technology | public media | BRAID UK | RIC @ BBC R&D
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The Software Sustainability Institute is the first organisation in the world that was dedicated to improving software in research.
The official bluesky account of Politics & International Relations (PIR) of the University of Edinburgh. This account is monitored Mon-Fri.
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The Bayes Centre is the University of Edinburgh's Innovation Hub for Data Science and AI.
Influencing the world since 1583. See our latest news: https://edin.ac/3Z7hVZg
Microblog supporting Internet and Society and Controversies in the Data Society courses, Science Technology and Innovation Studies, University of Edinburgh
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We are one of three academic Colleges at the University of Edinburgh, supporting 11 academic Schools, the cross-University Centre for Open Learning, the Edinburgh Futures Institute and the Institute for Advanced Studies in the Humanities.
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