2025 Events
Date | Event Listing |
| Monday, February 10 | Generating and Using Biodiversity Big Data Workshop Generating and Using Biodiversity Big Data is a multipart activity that begins with a virtual workshop on locating, downloading, and cleaning biodiversity data for research. Following the workshop, participants will be invited to join an asynchronous Bioblitz using the iNaturalist platform to generate biodiversity data that will be shared with the open data repository GBIF (Global Biodiversity Information Facility). Participants will learn how to search for data of interest, learn about some of the caveats of using biodiversity big data, how to clean and properly attribute data, and will also contribute data themselves by participating in a week-long Bioblitz across Stanford campuses. Learn more about the Love Data Week Bioblitz. |
| Monday, February 10 | From Paper to Points, Lines, and Polygons: Transforming Historic Maps into Data This workshop will guide participants through the process of transforming images of historical paper maps into computationally accessible geospatial data. Using web native tools and workflows, participants will learn to locate, georeference, extract data, and integrate images and data into interactive web applications. This hands-on experience is ideal for anyone interested in the use of historical cartography in research. Participants will explore:
|
| Monday, February 10 | Words Into Data: Basic Workflows for Natural Language Processing This interactive workshop will familiarize users with a basic natural language processing (NLP) research pipeline using the Huggingface/transformers framework. You will learn to ingest, process, and tokenize text; extract Named Entity (people, places, events, etc.) data from it; and reformat that data so it can be used in higher-order research workflows like mapping, social network analysis, and more. Time allowing, we might even make a map or network graph ourselves! |
| Monday, February 10 | Redivis Workshop: A Data and Computational Environment for Reproducible Data Science 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. What can Data Farm do? Data Farm allows highly efficient and fast queries (using either the visual query editor or writing SQL) directly in the browser. After performing a query, such as: filter-aggregate-combine, you can explore descriptive statistics and visualizations right away or move into integrated notebooks for further data manipulation. Datasets on Data Farm are interoperable with common data analysis tools such as: Python, R, SAS, and Stata and can be easily exported to on-premise computing environments such as Farmshare / Sherlock, into cloud compute services like GCP, AWS, Azure, or downloaded for local analysis (usage rights permitting). |
| Tuesday, February 11 | 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. Join us online and in person for an introduction to Wikidata followed by a Wikidata Edit-a-thon! Learn more about Wikidata’s impact, how to make edits, create references, and query Wikidata in this 2-hour hands-on session. |
| Tuesday, February 11 | GeoPandas is an extension of the open-source Python Data Analysis Library, Pandas, which can be used to read, write, and analyze vector geospatial data formats. GeoPandas enables you to easily do operations in Python that would otherwise require a spatial database such as PostGIS. In this workshop, we will introduce GeoPandas and learn how to perform a variety of geospatial data science tasks to work efficiently with geographic vector datasets. |
| Tuesday, February 11 | Carpentries @ Stanford: Data Visualization in R This workshop is an introduction to working with data visualization in R for those who have moderate programming experience in R. If you know how to work with datasets (variables, matrices, dataframes) and functions in R, but you have never created figures beyond maybe a few base R visualizations (using the plot, hist, barplot functions), then this class is a good fit for you! By the end of this workshop, you will have learned the syntax of ggplot2, how to modify and customize graph aesthetics, how to generate common plots, and how to save your figures to your computer. Time permitting, we will explore a few extra features such as faceting, custom colors, and themes! |
| Tuesday, February 11 | Introduction to Research Data Management Your research data is important. In this session, we’ll discuss how to properly store, organize, and document your work to ensure that important data isn’t lost and that you are meeting expectations set by the parties that fund and publish your research. After this session, you’ll have the tools required to assess your current data management practices, information about how to advance your practices as necessary or desired, and an understanding of some of the data-related resources available to you through Stanford Medicine. |
| Wednesday, February 12 | Velma Denning Room and Research Data Services Open House Join us in the Velma Denning Room (120F) in Green Library for an interactive Open House event, where we will showcase the exciting resources and services available for digital research methods. This show and tell event will highlight our programming, computational resources, and consultation services. Discover how to use our GPU-equipped computers and the LM Studio for local language models. We’ll also introduce upcoming workshops and explain how you can access both in-person and online R and Python consultations. Walk-ins are welcome! Come chat with us and explore how Research Data Services can support your research. |
| Wednesday, February 12 | Everything You Wanted to Know about ICPSR, But Were Afraid to Ask The Inter-university Consortium for Political and Social Research (ICPSR) is the world's largest collection of digital social science data. These data can be used for secondary research, instructional activities, and to write articles, papers or theses. ICPSR data cover topics from sociology, political science, economics, demography, education, child care, health care, crime, minority populations, aging, terrorism, substance abuse, mental health, public policy, international relations and more. All Stanford University staff, students, and faculty have access to the extensive ICPSR data holdings. Join us to learn how ICPSR can help you in your research or instruction. |
| Wednesday, February 12 | The Digital Production Group will demonstrate scanning of 3D objects, in particular a selection of fossils from the Stanford Doerr School of Sustainability Geoscience Specimen Collections. |
| Wednesday, February 12 | Emulation as a Service Workshop Emulation as a Service Infrastructure (EaaSI) is an open source community development to provide access to legacy computing environments and datasets. Please join us for a demo of the EaaSI application and discussion of how this service could enhance research at Stanford by providing access to legacy software applications. |
| Wednesday, February 12 | Intro to Working with API Authentication This workshop is an introduction to methods of API authentication, with a focus on different approaches for securely storing API credentials and how to avoid publishing them online by accident. We will cover common types of authentication systems that someone may encounter when using APIs for research purposes, such as API keys, Bearer tokens, and Basic Authentication. Basic boilerplate scripts will be provided in Python and R that can be used to authenticate with these kinds of APIs. The workshop will also discuss general pointers on how to obtain API keys and tokens. Attendees to this workshop should have familiarity with Python or R. There may be portions of the workshop that you will want to follow along with on your own computer if you have Python or R installed, but this is not required. |
| Wednesday, February 12 | Join us for this interactive workshop to learn more about how to build out your ORCID profile with institutional integrations, how to connect your ORCID to other profiles, and how to link to citation services. For those unfamiliar with ORCID, we will include a short presentation introducing the basics of the service. |
| Wednesday, February 12 | Data Crafts & DeStress @ Branner Library Take a moment to relax with snacks, crafts, and a guessing game @ Branner Earth Sciences Library! Make a map without a computer - 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. Color by Numbers - Just want to sit and color a cute picture of a kittten in a basket? Make it data inspired! We'll have various color-by-number sheets of cute and science related images. 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! All activities are free, no experience necessary (we'll show you how!), and will be available while supplies last! Help us reduce waste, bring your own covered mug and reusable plate! Branner Library will also be hosting several data inspired events throughout the day, be sure to check them out!
|
| Wednesday, February 12 | Literature Search Smarter: Use SciX to Accelerate Your Research Are you starting a new research project and doing literature review? Perhaps you just want to keep up with the most recent publications in certain topics across all different journals? Science Explorer (SciX) is a NASA-funded new literature search online library specially designed for Earth and space sciences. Come to Branner Earth Science Library 11-12 pm on Feb 13th to learn about how SciX can accelerate and elevate your research. As a part of the Love Data Week events, SciX Ambassadors, Yueyi Che and Thom Chaffee, are delivering a hands-on workshop on how to use SciX. Bring your laptop if you can. |
| Thursday, February 13 | California Pop-up Exhibit @ Branner Earth Sciences Library
|
| Thursday, February 13 | Uses LLMs to Extract Structured Data from PDFs The topic is the use of large language models (LLMs) to extract structured data from PDFs or other data. Imagine that you have a PDF with some tabular data in it, like a table. You want that data to work in a computable form (like CSV) for use in Excel or other tools. Large language models (LLMs) might be able to help with this task. The Stanford AI Playground provides an easy mechanism to experiment with LLMs to help with data extraction or manipulation. |
| Thursday, February 13 | Inaugural Stanford Data Artists Meet Up Do you have data or make art (or both!) and want to connect with people exploring novel artistic ways of representing data? Stanford Data Artists is a brand-new community of students, faculty, and staff transforming data into art forms, whether musical compositions, theater props, sculptures, living paintings, woodworking, creative writing, textiles—the works! Our first event is a casual opportunity to meet other cross-disciplinary, curious, creative, cool creators, to peruse samples of data art, and to eat some tasty snacks. Bring your own data (BYOD) and chat with us about how it could be art-ified! Ideas/questions/pipe dreams in all flavors of quirky and imaginative are welcome here. |
| Thursday, February 13 | CCRMA Data Sonification Ensemble The Branner Earth Sciences Library and Terman Engineering Library proudly present the CCRMA Data Sonification Ensemble live @ Branner Library on February 13, 2025. The group, composed of students of all levels and led by instructors Chris Chafe and Nilam Ram, will use software, acoustic, and electric instruments to present temporal data as audiovisual material, allowing users to interact with existing information in novel ways. Not sure what data sonification is? Check out this previous performance! |
| Thursday, February 13 | Join us in the Hohbach Hall Presentation Palace for a screening of Moneyball (2011), with an introduction by by Eno Sarris (BA '01, MA ‘02), senior writer for The Athletic covering Baseball Analytics. Eno will place the film’s approach to data within its historical context and discuss more recent developments. |
| Friday, February 14 | Carpentries @ Stanford: Using Spatial Data with R This workshop will introduce you to geospatial libraries and concepts using R. Prior experience using R at an introductory level is expected. If you need a refresher on R, please check out Introduction to R. In this workshop, you will learn how to read spatial data into R and perform basic spatial analysis. |
| Tuesday, February 18 | Tabletop Tuesdays: Studying Data with the game Rescue Polar Bears: Data & Temperature This month's Tabletop Tuesdays is part of a series for Love Data Week, an annual festival highlighting topics, opportunities and services relevant to data in research. Rescue Polar Bears: Data & Temperature is a cooperative game based on Rescue Polar Bears with a new data and temperature system added to the game design to make the strategy more diversified. The consumption of fossil fuel and releasing of greenhouse gases yield the global warming. Around the North Pole, the last icebergs are melting and the polar bears are facing the risk of being extinct. The players form a scientific organization. They try to collect data about climate change to persuade the governments to change their energy policy. At the same time, they also need to prevent polar bears from sinking into the freezing water. Each player drives a rescue ship of different ability to complete the mission on the Arctic Ocean. As long as the players collectively gather enough data, they win together. However, if too many polar bears sink into the water, everyone loses. Tabletop Tuesdays is an event series held on the third Tuesday of each month. At these events, we feature a selection of board games and collection items from across SUL's holdings around a specific theme. Drop in to learn about the month's featured game(s) and/or try some of the board games we have for open play at the Silicon Valley Archives. |
Lane Medical Library Events
Date | Event Listing |
| Monday, February 10 | Unlocking the Full Potential of Your Research: Why and How to Share Your Data with Dryad Sharing your research data isn’t just good practice - it amplifies your impact, increases reproducibility, and fosters new discoveries. But how do you share data responsibly, especially when dealing with sensitive information? In this session, we’ll explore the benefits of open data sharing and walk you through the Dryad process, from how we curate to what you can do to make the process more seamless. Whether you’re new to data publishing or looking for best practices, we’ll show you how Dryad makes sharing simple, secure, and beneficial for the entire research community. |
| Monday, February 10 | Record Your Research Workflows with SOPs and Notebooks In this workshop, we’ll cover how to keep track of your research process. From ensuring you are following the right steps by maintaining good protocols and standard operating procedures to describing what happened on the day with lab notebooks, keeping good records is integral to ensuring your research process proceeds efficiently and that your results can be properly verified and evaluated. Come learn some best practices in record keeping so you don’t have to repeat what you have already done. There will also be an opportunity for discussion and Q and A. |
| Tuesday, February 11 | Introduction to Research Data Management Your research data is important. In this session, we’ll discuss how to properly store, organize, and document your work to ensure that important data isn’t lost and that you are meeting expectations set by the parties that fund and publish your research. After this session, you’ll have the tools required to assess your current data management practices, information about how to advance your practices as necessary or desired, and an understanding of some of the data-related resources available to you through Stanford Medicine. |
| Tuesday, February 11 | Maximizing Your Research Impact This 60-minute session provides an introduction to different uses of research metrics, the importance of tracking the impact of research outputs, and responsible use of research metrics. Participants will learn strategies to identify high-impact journals, optimize their online research profiles, and increase citation rates. The session also covers tools for tracking and demonstrating research metrics, leveraging social media, and utilizing open-access publishing. Whether you aim to expand your academic reach or secure funding opportunities, this class equips you with practical skills to effectively share your work with the global scientific community. There will be time at the end of class for Q & A. Learning outcomes - By the end of this course, participants will be able to: 1. Identify Strategies for Research Dissemination: Participants will be able to select appropriate journals, platforms, and tools to effectively disseminate their research to targeted audiences.2. Enhance Online Research Profiles: Participants will learn to optimize their academic profiles on platforms like ORCID to increase discoverability and professional visibility.3. Utilize Research Metrics: Participants will understand how to access and interpret citation metrics, altmetrics, and other indicators to evaluate and demonstrate the impact of their work.4. Leverage Digital and Open Access Tools: Participants will explore methods for utilizing open access publishing and social media to expand their research’s reach and influence. |
| Wednesday, February 12 | Scientific Data Visualization with Python, Part 1 Visualization Is a key part of exploring and understanding patterns within data sets. This session introduces matplotlib, a popular library used to make scientific plots in Python. The purpose of this session is to provide a simple introduction to the matplotlib interface and to create two simple plots to visualize univariate data. This course is to provide hands-on, interactive experience in building scientific visualizations. The code that is developed in this course can be used on data in other contexts. At the end of this class, participants will be able to:
Basic Python knowledge is required for this class. The library's two-session Python course covers the required material. |