2026 Events

Introduction to S&P Metals & Mining in Capital IQ

This introductory session is tailored specifically for new users of the Metals & Mining dataset in Capital IQ Pro. Our goal is to provide you with a comprehensive introduction to the platform, showcase key features and innovative tools, and empower you to extract valuable insights and data for your research

Love Data Week: Dryad + Your Research Data

Join us for a 30-minute session designed for researchers to explore the Dryad data platform. In this session, you’ll learn:

• When—and why—Dryad is the choice for your research data
• What to expect when submitting to Dryad, from start to finish
• How submission automation and curation save time and improve data quality
• How Dryad links datasets with publications and other research outputs
• The tools, guidance, and support resources available to you

Hacking Stanford Library: Using Library APIs to Leverage Collections Computationally

During this workshop, we will learn how to “hack” the Stanford Library APIs to build collections using Stanford Libraries Digital Stacks API, retrieve and manipulate images using Stanford’s IIIF API, and create simple webpages for SDR hosted data with DOIs.

R Text Analysis

This workshop is an introduction to how to work with textual material with R. You will learn how to import, clean, and analyze collections of text. We will focus on the tidytext package but reference other packages that are relevant.

Intro to Python (for AI-Assisted Coding)

Learn to read and understand Python code in the age of AI-assisted programming. This hands-on workshop introduces how programming languages work and develops your ability to recognize common Python patterns, from variables and functions to loops and conditionals. You’ll learn Python syntax and practice code literacy: understanding what code does and how to effectively leverage Gen AI models via Stanford AI Playground to generate and modify Python code for data cleaning and analysis. Through practical exercises, you'll learn to write clear prompts, interpret AI-generated code, and verify its correctness. By the end of this session, you'll have the foundational knowledge needed to use AI tools to create code for data-related tasks.

Research Data Best Practices on SRC Systems

Are you taking advantage of the resources available at Stanford Research Computing for your research? Want to know how to prevent important research data from being lost on an HPC system like SRC’s Sherlock cluster? Come learn about the important Dos and Don’ts on Stanford HPC systems at this Love Data Week workshop and catch up with the team behind Oak and Elm storage systems.

Gerrymandering 101

Join the Stanford University Libraries for an interactive redistricting mapping workshop during Love Data Week! On Tuesday Nov. 4th, California’s voters weighed in on Proposition 50, a state constitutional amendment to modify Congressional district maps. Come on by our hands-on workshop on how to make your own mathematically-sound redistricting map. What does democratic representation look like? The choice is yours.

We will be using online cartographic tools like DRA (Dave’s Redistricting) and PlanScore to draw and evaluate voting district maps.

Guest speaker Mike Migurski will share how PlanScore participates in the redistricting process!

Winter Global Health Club Mapathon

Join us in mapping a high-priority global health project, helping organizations like Doctors without Borders and the Red Cross deliver vital aid to at-risk communities around the world. In just 20 minutes, you'll join a movement of over 100K volunteers across the world using Humanitarian OpenStreetMap (HOTOSM).

What's New in SDR!

The Stanford Digital Repository (SDR) is the perfect place for sharing and preserving your scholarly works. We'll provide a brief overview and then dive into a demo of new and improved features of the SDR self-deposit application. This session is perfect for both new and returning users, as well as both depositors and collection managers. 

Watch the recording (passcode: Y!y!P8vS).

Data Analysis with R for Beginners, Part 1

R is a popular statistical computing programming language used to explore data and make plots. In this class, participants without any background in programming will learn the basics of the R programming language and use it to explore simple data sets.

50 Years of Solar Data Stanford

Stanford’s Wilcox Solar Observatory, located just south of the main campus, began collecting daily observations of the Sun's magnetic field in May 1975 with the goal of understanding changes in the Sun and how those changes affect the Earth. Twenty years later, in December 1995, the Solar and Heliospheric Observatory (SOHO) launched, carrying the Michelson Doppler Imager, an instrument that measures magnetic fields in the photosphere, that was designed and operated by Stanford’s solar group.

Writing a Research Proposal? Learn about the Stanford IRB process with Michael Levesque

Come meet Michael Levesque from the Stanford IRB office to learn more about research proposals that include human subjects (non-medical) and the process for when you might need the IRB to review your research plan. An Institutional Review Board (IRB) is a committee that reviews and approves research involving human subjects to ensure it is ethical and protects participants' rights and welfare. 

Kpop Data Hunters

Get ready for a K-Pop data extravaganza! Join us during Love Data Week 2026 for an immersive, interactive event that combines your love of K-Pop with the power of data. Whether you're a die-hard K-Pop fan or just curious about the global phenomenon, this fun, hands-on experience will reveal how data is shaping the music industry's hottest trends.

Dean's Scholars Data Symposium

Celebrate the work of the SDSS Dean's Graduate Scholars and the SDSS Dean's Sustainability Leaders Postdocs. As part of Love Data Week with the Stanford University Libraries, we are highlighting the work of the Doerr School of Sustainability Dean's Scholars in this special research symposium.

CCRMA Data Sonification Ensemble Performance at Hoover Tower

Join Stanford University Libraries and CCRMA faculty for an interactive performance of a data sonification work by Professor Chris Chafe. We'll be featuring guest carillonneur Professor Tiffany Ng from the University of Michigan.

Women in Data Science Virtual Conference

WiDS Stanford @ Medical Lane Library is independently organized by Lane Medical Library to be part of the mission to increase the participation of women in data science and to feature outstanding women doing outstanding work.

Using AI To Be More Effective

Join us for a one-hour workshop to explore how artificial intelligence can enhance your workflows. This session will focus on practical applications of the Stanford AI Playground, offering concrete ideas and suggestions for tasks such as refining research questions, creating training materials, summarizing literature, and drafting code. We will emphasize a use-case driven approach, discussing and demonstrating how you can leverage AI tools to boost efficiency and creativity while  remaining in full control of your intellectual work.

Watch the recording (passcode: pGWS%x#3).

2026 Wikidata Edit-a-thon

Wikidata is an open, multilingual structured knowledge base that can be read and edited by both humans and machines and is made by people like you. Digital assistants like Siri and Alexa use Wikidata, as do search engines like Google. You can think of Wikidata as a database of databases, linking items through identifiers. This creates a centralized location of information about anything and everything: from the universe to the pika, love and the Chicago-style hot dog. With over 114,683,910 data items, there’s likely to be an item for your favorite band, and your birthplace.

Build a No-Code Personal Image Reference Collection with IIIF

In this workshop participants will create simple, no-code digital collections of images of maps and other cultural heritage objects for use in research and teaching. Drawing from disparate sources including Stanford's Searchworks catalog, DavidRumsey.com, the Library of Congress website, and the Internet Archive, participants will use the IIIF Gallery Builder webapp to curate custom sets of images via IIIF manifests. Students will be familiarized with basic concepts related to IIIF (the International Image Interoperability Framework), learn to locate IIIF manifests for cultural heritage images in online archives, create a first collection using the webapp, and view examples of ways curated image sets can be shared, remixed, and integrated into other resources, including Canvas.

Check out the IIIF Gallery Builder.

Gear Up for Social Science Data: Elections and Voting

Stanford University Libraries license election and voter data for teaching and research. Our holdings include the L2 Voter and Demographic Dataset, Dave Leip's Atlas of the U.S. Presidential Elections, and more. Join Stanford Librarians Ron Nakao, Kate Barron, and Danielle Gensch to learn more about these unique resources, and how to access and analyze them through Data Farm (Redivis).

Exploring Solar Data with SunPy and Dynamics Observatory

This workshop will focus on using SunPy, a community-developed, free, and open-source software package for solar physics, to find and use data from Stanford’s Joint Science Operations Center, the hub for data from NASA’s Solar Dynamics Observatory satellite. This workshop will include an introduction to concepts in solar physics along with the SunPy Python package and is open to everyone regardless of scientific background.

Relax with Data Crafts: Love Data Week De-Stress!

Take a moment to relax with snacks, crafts, and games at Branner Earth Sciences Library! 

• AI APIs & Astronomy Imagery - Compare real astronomical photos from Astronomy Picture of the Day (APoD) with AI images we generate on demand for you from Stanford's AI Playground API. Check out last year's gallery.
• Map Embroidery - Make a meaningful map in this data physicalization activity! We provide the raw materials for you to embroider a personal mini-map, you bring the creativity.
• Textile Data Weaving - You’re probably used to seeing data represented in charts and graphs, but have you ever seen a data set turned into a textile? With this activity, you can weave a data set into cloth to destress and learn a fun method of displaying data.
• Guess the Dataset! - Try to guess the underlying dataset from an unlabeled graph. This is a fun way to put your knowledge of trends in the world to the test. We'll put it up on a bit screen so you can play with your friends, and maybe make some new friends! 

3D Scan Demonstration: Doerr School Geoscience Specimen Collection

The Libraries' Digital Production Group is partnering again with the Doerr School Geoscience Specimen Collection to promote the use and understanding of 3D scanning of objects for research and teaching. We will demonstrate scanning of 3D objects, in particular a selection of fossils from the Stanford Doerr School of Sustainability Geoscience Specimen Collections and include examples of how this 3D scan data is used in research.

Python for Beginners, Part 2

Part 2 of this interactive, hands-on session builds on what participants learned in Part 1, and it continues to expand foundational programming skills and practical applications of Python that students can apply in the context of their own work. Learning objectives: 1) automate tasks with loops; 2) perform conditional operations; and 3) write your first script.

Dask for Geospatial Analysis: Efficient Parallel Workflows for Satellite Imagery in Sherlock

This workshop will provide an introduction to Dask in Python for satellite image analysis on distributed systems at scale. We will learn workflows for accessing Earth Observation satellite imagery from NASA as we learn to interact efficiently with images that are larger than the onboard memory of a single chip, build and run custom functions targeted at only the pixels needed for our analysis goals, and process targeted, machine learning ready datasets from these images with the help of Dask's parallelization and distributed data capabilities.

Stanford Data Farm: Datasets For Research

Data Farm is Stanford University's research data exploration, extraction, and analysis tool for datasets. Stanford contracts with Redivis for use of their SaaS platform for storing, distributing, and analyzing research data. Redivis offers a modern, high-performance web-based interface that enables researchers to work with a wide variety of datasets.

Watch the recording (passcode: *RbiEiZ4).

2026 Wikidata Edit-a-thon: Performers from the Piano Roll Archive

In part two of our LDW Wikidata Edit-a-thon series, participants will do a deep dive into one of Stanford’s collections: the Piano Roll Archive, part of the Archive of Recorded Sound. Participants will add metadata about piano roll performers to Wikidata.