Feel free to attend the following library sessions.  Many of the sessions offer hands-on instruction.  In addition to Brown School Library sessions, the list includes selected sessions from WUSTL's Becker Medical Library, WUSTL's Olin Library, and WUSTL's Center for Career Engagement.

Career Workshop: Brown School Pop Up Career Shop for International Students and Scholars
     March 27, noon - 1:00 p.m., Goldfarb Hall, first floor, in the Commons
     For more information or to register: https://students.wustl.edu/center-career-engagement/events-programs/
Career Workshop: Brown School Pop Up Career Shop
     April 10,  noon - 1:00 p.m., Goldfarb Hall, 1st floor, in the Commons
     For more information or to register: https://students.wustl.edu/center-career-engagement/events-programs/
Career Workshop: Brown School Pop Up Career Shop with Social Work p.r.n.
     April 24, noon - 1:00 p.m., Goldfarb Hall, 1st floor, in the Commons
     For more information or to register: https://students.wustl.edu/center-career-engagement/events-programs/

Catalog of Library Materials
Learn how to search the catalog, request WUSTL items, set up a reading history, and renew checked out items.  No registration needed.
     By appointment or Recorded session

Course Reserves Tips
Learn how to find and use the Brown School course reserves located in the Library Catalog and Ares.
          Please email the Library for a one-on-one or small group appointment: brownlibrary@wustl.edu

Covidence Screening Studies Webinar
Covidence is a screening/data extraction tool for conducting systematic reviews. It isn't available on the Danforth campus, but some may have access through personal or departmental subscription. Whether you're new to the platform or need a refresher on recent updates, this session is designed to help you navigate Covidence like a pro.  Perfect for new users or those needing an update; learn to maximize Covidence for systematic reviews.
     April 16,  11:00 a.m. - noon, via WebEx
     Please register: https://becker.wustl.edu/civicrm/?page=CiviCRM&q=civicrm/event/info&reset=1&id=817

Don’t Sign Your Rights Away: Author's Rights
Hope to publish an article in the future? Learn how to retain your copyrights so you can freely use your own work for teaching, scholarly, and professional activities.  Otherwise, you may have to pay the publisher in order to use your own work.  Learn about WUSTL's open access repository for articles. No registration needed.
          By appointment or PowerPoint slides

Evidence-Based Resources
Learn about the evidence-based resources.  Covers evidence-based databases, websites, and filters.  These resources should save you some time when doing evidence-based assignments.  No registration needed.
          By appointment or Tutorial

Finding Similar Phrases for Database Searching
Learn how to find similar phrases in order to expand your database search.  Covers the research guide tab, database thesauri, database words, and a thesaurus.  No registration needed.
          By appointment or Recorded session

GIS Week in November  (Geographic Information Systems) (November 2024)
Learn about some geospatial resources at WUSTL.

Green Get-It Button
Learn how to use the green get-it button to retrieve full text items. Learn what to do when the full text doesn't display. No registration needed.
     By appointment or Recorded session

Interlibrary Loan (Mobius and ILLiad)
WUSTL cannot buy every book and journal that is available.  Learn how to use the interlibrary loan system to request items that WUSTL does not own.  No registration needed.
     By appointment or Recorded session

Library Resources After Graduation
Learn about the library resources that are available to you after you graduate.  No registration needed.
     April 17,  8:30 - 9:00 p.m., via Zoom
     April 18,  4:30 - 5:00 p.m., via Zoom
     April 19,  3:30 - 4:00 p.m., via Zoom
     May 7,  noon - 12:30 p.m., via Zoom
     May 8, 8:00 - 8:30 p.m., via Zoom
     May 9, 10:00 - 10:30 a.m., via Zoom
     By appointment or PowerPoint

Love Data Week (expected February 2025)

Machine Learning for Sentiment Analysis
This single session workshop aims to introduce participants to machine learning methods for sentiments analysis. Sentiment analysis is a research method that aims to classify text in terms of its emotional valence, such as the degree to which it is positive or negative, or what emotions the text is conveying (happy, worried, angry etc.) In the last few years, machine learning approaches have displaced rules-based dictionary methods as the state-of-the-art for sentiment analysis. The process involves providing training data annotated according to the sentiment categories a researcher wants to measure in a text, and training a language model to assess those categories in a dataset. This workshop will train participants in how to analyze a text-based dataset using pre-trained sentiment analysis models, using the Python programming language. This workshop is aimed at graduate students, faculty and staff who use large text datasets in their research. Participants are encouraged to bring their own text corpus to the class. Participants should be comfortable with basic functions and libraries for text analysis in Python, such as NLTK and Spacy. Participants should also be able to work in Jupyter Notebooks.
     April 15,  noon - 2:00 p.m., John M. Olin Library, Level A, Instruction Room 1
     Please register: https://library.wustl.edu/events/machine-learning-for-sentiment-analysis/

Medline via PubMed: A Fantastic, Free Health Database
Learn how to effectively search Medline via PubMed for public health, psychological, and therapeutic information. Covers MeSH searching, applying limits, using the search history, changing the results display, accessing full text, using the evidence-based clinical queries, and more.  No registration needed.
     By appointment or Recorded session

Open Access Month (October 2024)
Learn about WUSTL's open access resources.

Python Workshops
-1- Introduction to Python – Basic Python for Beginners
Join us to learn about the Python programming language and Python code for some basic data analysis tasks. Popular Python libraries used for data exploration, manipulation, and graphing on data frames will be introduced. This webinar is for those with no prior experience with programming languages and Python.
     March 28,  10:00 - 11:30 a.m., via Zoom
     Please register: https://becker.wustl.edu/civicrm?page=CiviCRM&q=civicrm/event/info&reset=1&id=396
     Recorded sessions available
-2- Data Analysis and Visualization with Python (Sessions 1&2 were in March, Sessions 3-6 are in April)
This 6-session course will introduce participants to the primary packages and methods for data analysis and visualization in Python. Initial sessions will explore how to use the popular Pandas library for the management and preliminary analysis of data, with a particular focus on CSV and JSON format datasets. In later sessions, you will learn how to produce customized static and interactive visualizations of your data using the Matplotlib, Seaborn, Plotly and Bokeh libraries. This class is intended for graduate students, faculty and staff at Wash U who have basic familiarity with Python and want to further develop their skills in data analysis and visualization in the language for their research, and aims to enable researchers to make use of new advances in digital and data-based methods in their own field.
     April 1,  11:00 a.m. - 12:30 p.m., John M. Olin Library, Instruction Room 3 (Session 3)
     Please register: https://library.wustl.edu/events/data-analysis-and-visualization-with-python-session-3/
     April 3,  11:00 a.m. - 12:30 p.m., John M. Olin Library, Instruction Room 3 (Session 4)
     Please register: https://library.wustl.edu/events/data-analysis-and-visualization-with-python-session-4/
     April 8, 11:00 a.m. - 12:30 p.m., Olin Library, Instruction Room 2 (Session 5)
     Please register: https://library.wustl.edu/events/data-analysis-and-visualization-with-python-session-5/
     April 10,  11:00 a.m. - 12:30 p.m., John M. Olin Library, Instruction Room 2 (Session 6)
     Please register: https://library.wustl.edu/events/data-analysis-and-visualization-with-python-session-6/
-3- Deep Learning in Python
This 2-course seminar aims to equip participants with an advanced understanding of deep learning, a subfield of machine learning that employs Deep Neural Networks to address ML challenges, particularly on datasets associated with text and images. Participants will gain insights into the functioning of neural networks and the types of problems for which they are most effective. Additionally, they will acquire the skills to run pretrained models as well as train custom models in Pytorch using their own data. This class is intended for graduate students and faculty from any field at WashU who are interested in learning more about how Neural Networks work, and how to apply these models to your own data. Participants should have basic proficiency in Python and should be comfortable using Pandas. Some experience in machine learning will be useful.
     April 23,  2:00 - 3:30 p.m., John M. Olin Library, Level A, Instruction Room 3 (Session 1)
     Please register: https://library.wustl.edu/events/deep-learning-in-python/
     April 25,  2:00 - 3:30 p.m., John M. Olin Library, Level A, Instruction Room 3 (Session 2)
     Please register: https://library.wustl.edu/events/deep-learning-in-python-session-2/

R Workshops
-1- Introduction to R – Basic R for Beginners
Join us to learn about the R programming language, R data objects and basic R code for some common data analysis tasks. A small example data will be used to demonstrate data exploration, manipulation, and visualization using built-in functions available in base R.  This webinar is for those with no prior experience with programming languages and R and includes demonstrations to help attendees learn how to run basic R code using RStudio desktop application.
     March 26,  1:00 - 2:30 p.m., via Zoom
     Please register: https://becker.wustl.edu/civicrm/?page=CiviCRM&q=civicrm/event/info&reset=1&id=824
-2- Introduction to R
This 6-session course will introduce the R programming language. Designed to build foundational skills, this course acts as a precursor to more specialized courses. We will explore the components of the R/RStudio working environment, delve into handling diverse data structures in R (including vectors, matrices, and data frames), and acquire the skill to create and apply our own functions. The course is structured for maximum accessibility, making it suitable for those with no prior background in any programming language or quantitative methods.
     April 9,  12:30 - 2:00 p.m., John M. Olin Library, Level A, Instruction Room 1 (Session 1)
     Please register: https://library.wustl.edu/events/introduction-to-r-session-1/
     April 12,  12:30 - 2:00 p.m., John M. Olin Library, Level A, Instruction Room 1 (Session 2)
     Please register: https://library.wustl.edu/events/introduction-to-r-session-2/
     April 16,  12:30 - 2:00 p.m., John M. Olin Library, Level A, Instruction Room 1 (Session 3)
     Please register: https://library.wustl.edu/events/introduction-to-r-session-3/
     April 19,  12:30 - 2:00 p.m., John M. Olin Library, Level A, Instruction Room 1 (Session 4)
     Please register: https://library.wustl.edu/events/introduction-to-r-session-4/
     April 23,  12:30 - 2:00 p.m., John M. Olin Library, Level A, Instruction Room 1 (Session 5)
     Please register: https://library.wustl.edu/events/introduction-to-r-session-5/
     April 26,  12:30 - 2:00 p.m., John M. Olin Library, Level A, Instruction Room 1 (Session 6)
     Please register: https://library.wustl.edu/events/introduction-to-r-session-6/
-3- Introduction to Data Science with R
This 4-session course offers an introduction to performing data science using R. Participants will discover how to import data into R, organize it effectively, manipulate, and visualize it. The course covers the use of the grammar of graphics, literate programming, and principles of reproducible research to enhance efficiency.  Designed to be highly accessible, this course is ideal for individuals without previous experience in programming languages or quantitative analysis techniques.
     April 9,  3:30 - 5:00 p.m., Olin Library, Instruction Room 3 (Session 1)
     Please register: https://triads.wustl.edu/events/introduction-data-science-r?d=2024-04-09
     April 11,  3:30 - 5:00 p.m., Olin Library, Instruction Room 3 (Session 2)
     Please register: https://triads.wustl.edu/events/introduction-data-science-r?d=2024-04-09
     April 16,  3:30 - 5:00 p.m., Olin Library, Instruction Room 3 (Session 3)
     Please register: https://triads.wustl.edu/events/introduction-data-science-r?d=2024-04-09
     April 18,  3:30 - 5:00 p.m., Olin Library, Instruction Room 3 (Session 4)
     Please register: https://triads.wustl.edu/events/introduction-data-science-r?d=2024-04-09

Recorded sessions available. Introduction to R sessions: https://wustl.app.box.com/s/xz68on19wnnp8o0jtctz5h8i4pvcaaqn
Recorded sessions available: Advanced Data Visualization and data wrangling in R: https://wustl.app.box.com/s/gsxu4l7qma5yfgqdd60zzayj9kii0v7e

REDCap Workshops
REDCap is a secure, web-based application for building and managing online databases and surveys, but you do not need web development or computer programming experience to use REDCap. REDCap has built-in quality assurance/quality improvement features and is HRPO compliant. If you have a WUSTL Key, you can use REDCap for free!   Note: some REDCap workshops are recorded.  The recordings are available at the following website: Recorded sessions available

#SciComm Seminar: Save Your Poster, Save the World
Conference posters, the most common form of research communication, are often overlooked for the career boost they can provide. Zen Faulkes, PhD, author of "Better Posters," will show us how to make a poster that stands out and maximizes the impact of your research and how to apply these skills to other aspects of your work.  The Center for Health and Science Communication is hosting this special #SciComm Seminar session in partnership with InPrint. This event is open to all. Please register to receive the Zoom link. The Zoom link will be provided before the event.
     April 11,  4:00 - 5:00 p.m., via Zoom
     Please register: https://becker.wustl.edu/civicrm/?page=CiviCRM&q=civicrm/event/info&reset=1&id=825

Search Strategies for Database Searching  
Learn about the basic search strategies and use them in a database search in order to find relevant articles. Covers Boolean Operators, truncation, phrase searching, field qualification, proximity operators, using the search history, and applying limits. No registration needed.  
     By appointment or Tutorial

Social Explorer Census & Social Statistics    
Learn how to use Social Explorer for census and social statistics.  Generate maps.  Overview of the 2010 census and the American Community Survey.  Produce statistical reports through the Premade, Keyword, and table features (age, race, households, education, income, etc.).  No registration needed.
          By appointment

Social Welfare/Policy Library Resources    
Learn about library resources that may help you with your social welfare/policy assignments. Covers Congress.gov, ProQuest Congressional, CQ Researcher, PAIS, and more.  No registration needed.
          By appointment

Tour the Brown School Library    
Take a walking tour of the Brown School Library and learn where the resources are located.  No registration needed.     
          By appointment

Transitioning from ArcMap to ArcGIS Pro
The end of ArcMap has come. Make sure your maps and spatial data do not get left behind. Join us for this workshop on transitioning your workflows from ArcMap to the latest desktop GIS application, ArcGIS Pro.
     April 5,  10:00 a.m. ‒ noon, John M. Olin Library, Instruction Room 2 & Zoom
     Please register: https://library.wustl.edu/events/transitioning-from-arcmap-to-arcgis-pro-2   

Writing a Data Management and Sharing Plan
If you are applying for research funding opportunities, you will likely be asked to write a data management plan. This workshop will introduce you writing a solid data management plan and how to leverage the DMPtool, an effective way to meet your funder’s requirements.  This workshop is delivered by the Data Services team in the University Libraries in collaboration with the Graduate Center. The Graduate Center provides onboarding, engagement, and co-curricular professional development for graduate and professional students at WashU and is the home for university-wide fellowships and all fellowship-related programming.
     March 27,  4:00 ‒ 5:00 p.m., via Zoom
     Please register: https://library.wustl.edu/events/writing-a-data-management-and-sharing-plan

Zotero Sessions
-1- Zotero Citation Manager
Learn how to use Zotero to organize citations and create APA bibliographies.  No registration needed.
     By appointment or Recorded session
-2- Zotero – Choose Your Own Adventure
Attention Zotero users! Experienced any challenges or vexing mysteries while using Zotero? Bring your questions to this workshop for one-on-one problem solving. Or, simply come to discover some powerful but lesser-known features, such as: Metadata retrieval for the PDFs stored on your computer ; Integrated word processing to cite as-you-write ; Customized imported citations ;   Annotation options for PDFs and Notes ;    Third-party plug-ins ; How to import from other citation managers, such as EndNote and Mendeley.
     March 28,  4:00 ‒ 4:30 p.m., John M. Olin Library, Instruction Room 1 & Zoom
     Please register: https://library.wustl.edu/events/zotero-choose-your-own-adventure-2

Here is the above list in chronological order:
March 26,  1:00 - 2:30 p.m., Introduction to R – Basic R for Beginners, via Zoom
March 27, noon - 1:00 p.m., Career Workshop for International Students and Scholars, Goldfarb Hall, first floor, in the Commons
March 27,  4:00 ‒ 5:00 p.m., Writing a Data Management and Sharing Plan, via Zoom
March 28,  10:00 - 11:30 a.m., Introduction to Python – Basic Python for Beginners, via Zoom
March 28,  4:00 ‒ 4:30 p.m., Zotero – Choose Your Own Adventure, Olin Library, Instruction Room 1 & Zoom
April 1,  11:00 a.m. - 12:30 p.m., Data Analysis and Visualization with Python (Session 3), Olin Library, Instruction Room 3
April 3,  11:00 a.m. - 12:30 p.m., Data Analysis and Visualization with Python (Session 4), Olin Library, Instruction Room 3
April 5,  10:00 a.m. ‒ noon, Transitioning from ArcMap to ArcGIS Pro, Olin Library, Instruction Room 2 & Zoom
April 8, 11:00 a.m. - 12:30 p.m., Data Analysis and Visualization with Python (Session 5), Olin Library, Instruction Room 2
April 9,  12:30 - 2:00 p.m., Introduction to R (Session 1), Olin Library, Level A, Instruction Room 1
April 9,  3:30 - 5:00 p.m., Introduction to Data Science with R (session 1), Olin Library, Instruction Room 3
April 10,  11:00 a.m. - 12:30 p.m., Data Analysis and Visualization with Python (Session 6), Olin Library, Instruction Room 2
April 10,  noon - 1:00 p.m., Career Workshop: Brown School Pop Up Career Shop, Goldfarb Hall, 1st floor, in the Commons
April 11,  3:30 - 5:00 p.m., Introduction to Data Science with R (session 2), Olin Library, Instruction Room 3
April 11,  4:00 - 5:00 p.m., #SciComm Seminar: Save Your Poster, Save the World, via Zoom
April 12,  12:30 - 2:00 p.m., Introduction to R (Session 2), Olin Library, Level A, Instruction Room 1
April 15,  noon - 2:00 p.m., Machine Learning for Sentiment Analysis, Olin Library, Level A, Instruction Room 1
April 16,  11:00 a.m. - noon, Covidence Screening Studies Webinar, via WebEx
April 16,  12:30 - 2:00 p.m., Introduction to R (Session 3), Olin Library, Level A, Instruction Room 1
April 16,  3:30 - 5:00 p.m., Introduction to Data Science with R (session 3), Olin Library, Instruction Room 3
April 17,  8:30 - 9:00 p.m., Library Resources After Graduation, via Zoom
April 18,  3:30 - 5:00 p.m., Introduction to Data Science with R (session 4), Olin Library, Instruction Room 3
April 18,  4:30 - 5:00 p.m., Library Resources After Graduation, via Zoom
April 19,  12:30 - 2:00 p.m., Introduction to R (Session 4), Olin Library, Level A, Instruction Room 1
April 19,  3:30 - 4:00 p.m., Library Resources After Graduation, via Zoom
April 23,  12:30 - 2:00 p.m., Introduction to R (Session 5), Olin Library, Level A, Instruction Room 1
April 23,  2:00 - 3:30 p.m., Deep Learning in Python (Session 1), Olin Library, Level A, Instruction Room 3
April 24, noon - 1:00 p.m., Career Workshop: Brown School Pop Up Career Shop, Goldfarb Hall, 1st floor, in the Commons
April 25,  2:00 - 3:30 p.m., Deep Learning in Python (Session 2), Olin Library, Level A, Instruction Room 3
April 26,  12:30 - 2:00 p.m., Introduction to R (Session 6), Olin Library, Level A, Instruction Room 1
May 7,  noon - 12:30 p.m., Library Resources After Graduation, via Zoom
May 8, 8:00 - 8:30 p.m., Library Resources After Graduation, via Zoom
May 9, 10:00 - 10:30 a.m., Library Resources After Graduation, via Zoom