This 2-day intensive workshop provides an introduction to accessing and computing on remote servers such as UC Davis’ HPC (high performance cluster) to elevate your research.

The series covers everything you need to know to get started. We’ll provide an overview of HPC terminology, architecture, and general workflows, and guide learners through how to set up and use SSH to log in and transfer files, how to install software with miniconda, how to reserve computing time and run programs with SLURM, and execute shell commands that are especially useful for working with servers. As we learn we’ll practice accessing and computing on remote servers using the UC Davis HPC Core Facility’s new “Hive” cluster.

The material builds and thus learners must attend both days. Sessions run from 10 AM - 4 PM each day, with a break for lunch.

After this workshop series, learners should be able to:

Use SSH to log in to a server;Transfer files to and from a server;Set up and use conda/mamba to install software on a server;Use SLURM to run interactive and non-interactive software on a server;Explain etiquette for using a server cluster such as Hive.
This workshop is subject to cancellation if minimum enrollment is not achieved.

PREREQUISITES

Participants should have taken DataLab’s “Introduction to the Unix Command Line” workshop, or have equivalent prior experience using command line. Specifically, you will need to know how to use command line to navigate your file system and inspect, create, edit and move files. Participants must be comfortable with programming in a language such as R or Python, and with basic Linux shell syntax (i.e., able to navigate and create, modify and move files via command line).

Learners will register for a HPC account during the session. CAS authentication is required.

Can't make it to this training? Check out our workshop schedule. Materials from prior workshops are available on DataLab's website.

Questions? Email datalab-training@ucdavis.edu.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

This 2-day intensive workshop provides an introduction to accessing and computing on remote servers such as UC Davis’ HPC (high performance cluster) to elevate your research.

The series covers everything you need to know to get started. We’ll provide an overview of HPC terminology, architecture, and general workflows, and guide learners through how to set up and use SSH to log in and transfer files, how to install software with miniconda, how to reserve computing time and run programs with SLURM, and execute shell commands that are especially useful for working with servers. As we learn we’ll practice accessing and computing on remote servers using the UC Davis HPC Core Facility’s new “Hive” cluster.

The material builds and thus learners must attend both days. Sessions run from 10 AM - 4 PM each day, with a break for lunch.

After this workshop series, learners should be able to:

Use SSH to log in to a server;Transfer files to and from a server;Set up and use conda/mamba to install software on a server;Use SLURM to run interactive and non-interactive software on a server;Explain etiquette for using a server cluster such as Hive.
This workshop is subject to cancellation if minimum enrollment is not achieved.

PREREQUISITES

Participants should have taken DataLab’s “Introduction to the Unix Command Line” workshop, or have equivalent prior experience using command line. Specifically, you will need to know how to use command line to navigate your file system and inspect, create, edit and move files. Participants must be comfortable with programming in a language such as R or Python, and with basic Linux shell syntax (i.e., able to navigate and create, modify and move files via command line).

Learners will register for a HPC account during the session. CAS authentication is required.

Can't make it to this training? Check out our workshop schedule. Materials from prior workshops are available on DataLab's website.

Questions? Email datalab-training@ucdavis.edu.

View on site | Email this event

Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

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This event is free and open to all, and will be available in person and livestreamed.

Maria Kuznetsova was born in Kyiv, Ukraine, and moved to the United States as a child. She is the author of the novels Oksana, Behave! and Something Unbelievable. An alum of the UC Davis master’s program in creative writing, she now lives in Auburn, Alabama, with her family, where she is an associate professor of creative writing at Auburn University. She is also the fiction editor of the Southern Humanities Review and her work appears or is forthcoming in dozens of literary journals including One Story, The Yale Review, Southern Review, Threepenny Review, and The Sun.

The Creative Writing Series is presented by the UC Davis Department of English, Creative Writing Master of Fine Arts Program, and the UC Davis Library.

The views expressed in this series, including descriptions and biographies, are those of the speakers and not meant to represent the views of any other person or institution.

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Whether you’re going to be publishing for the first time or you’ve published many times in the past, join us to learn more about open research, avoiding predatory publishers, selecting an appropriate journal, and how to publish your research outputs in ways that go beyond the traditional journal article.

No previous experience is required. All disciplines are welcome.

Please register for the Zoom link.

This six-workshop series is a collaboration between the library's Scholarly Communications Program, the Researcher Services department, and Blaisdell Medical Library. For any questions, please contact the Scholarly Communication Officer Michael Ladisch (mladisch@ucdavis.edu). Check our events calendar for more publishing workshops.

View on site | Email this event

The landscape of the academic and professional world is shifting. Whether you are an aspiring historian, a budding chemist, or a future sociologist, AI is no longer a "tech" skill—it’s a foundational literacy.

Developed through a collaboration between the UC Davis College of Letters & Science and DataLab, this 1-unit intensive course is designed to unveil Artificial Intelligence. We’ve stripped away the dense math and complex coding to give you a conceptual, high-level understanding of how artificial intelligence systems work, why they matter, and how to make them work for you.

Why Enroll?

In a single day, you will move from being a passive AI user to a critical, strategic collaborator. This training is specifically curated for L&S students to ensure you graduate with the competitive edge needed for the rapidly evolving, AI-driven workplace.

No technical background? No problem. This course has no prerequisites. It is designed for thinkers, writers, and researchers across all liberal arts and science disciplines.

The curriculum is divided into four deep-dive modules:

How AI Thinks
Understand the "brain" of the machine. We’ll explore the theories of language and cognition that allow Large Language Models (LLMs) to function, and provide a framework for evaluating their potential and limits.

How to Use AI Responsibly
AI isn't a magic wand—it’s a tool with a history and consequences. We discuss the environmental and societal impacts, how to ensure the veracity of AI results, and why reproducibility is the cornerstone of ethical tech.

How to Talk with AI
Master the art and science of prompt engineering. Learn what happens behind the scenes when you send a prompt. Develop sophisticated strategies to get the exact results you need.

Module 4: How AI Talks with You
A look at the future of AI implementation. From simple chatbots to complex autonomous "Agents," learn how AI is being embedded into systems and how to evaluate its activity.

By the end of this one-day course, you will be able to:

Define "AI" and distinguish it from traditional statistics and data science.

Identify whether a real-world problem is suitable for an AI solution.

Develop advanced prompting strategies that produce reliable, useful results.

Critically interrogate your own engagement with AI and its impact on our society and environment.

Apply Now

This intensive, one-day course will be offered five times during Spring Quarter 2026. You only need to signup for one date.

Time: 9:00 AM – 4:30 PM (with a break for lunch)

Credits: 1 Unit

CRN & location: Will be emailed to accepted and confirmed registrants.

Eligibility: Open to all students with a major in the College of Letters & Science.

Priority: Registration priority is given to Seniors (4th years) and students graduating in Spring or Summer 2026. Other students in the College of Letters and Science are encouraged to register and will be admitted as space permits.

View on site | Email this event

Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

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Lisa G. Materson, associate professor of history, traces civil rights activist Ruth Reynolds’ deep involvement in the movement for Puerto Rico’s independence in Radical Solidarity, offering a nuanced account of political allyship, anti-colonial struggle and cross-racial collaboration.
Corrie Decker, associate professor of history, examines how colonial courts and ethnographers in 20th century East Africa transformed complex rites of passage into simplified “puberty rites" in The Age of Sex: Custom, Law, and Ritual in Twentieth-Century East Africa, reshaping legal understandings of childhood, adulthood, gender and sexual maturity.

Covered: Spotlighting Faculty Authors in Letters and Science is co-sponsored by the Jan Shrem and Maria Manetti Shrem Museum and the UC Davis Library.

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No previous experience is required. All disciplines are welcome.

Please register for the Zoom link.

This six-workshop series is a collaboration between the library's Scholarly Communications Program, the Researcher Services department, and Blaisdell Medical Library. For any questions, please contact the Scholarly Communication Officer Michael Ladisch (mladisch@ucdavis.edu). Check our events calendar for more publishing workshops.

View on site | Email this event

This event is free and open to all, and will be available in person and livestreamed.

Summer Farah is a Palestinian American writer, editor, and zine-maker from California. She is the author of The Hungering Years (Host Publications, 2026) and the chapbook I could die today and live again (Game Over Books, 2024). Her essay "From Witness From Speech From Image: On Etel Adnan’s The Arab Apocalypse and Theresa Hak Kyung Cha’s Dictee" received a 2025 Krause Essay Prize honorable mention. Summer is a member of the Radius of Arab American Writers and the National Book Critics Circle. She is calling on you to recommit yourself to the liberation of the Palestinian people each day.

This event is co-sponsored with the Department of Middle East/South Asia Studies.

The Creative Writing Series is presented by the UC Davis Department of English, Creative Writing Master of Fine Arts Program,
and the UC Davis Library.

The views expressed in this series, including descriptions and biographies, are those of the speakers and not meant to represent the views of any other person or institution.

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Drop in any time between 5-6 p.m. witih a book — physical, digital, audio + headphones (we don't judge!). Or pick something from our reading cart.

Stick around after for a cover selfie and meet fellow readers.

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Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

No previous experience is required. All disciplines are welcome.

Please register for the Zoom link.

This six-workshop series is a collaboration between the library's Scholarly Communications Program, the Researcher Services department, and Blaisdell Medical Library. For any questions, please contact the Scholarly Communication Officer Michael Ladisch (mladisch@ucdavis.edu). Check our events calendar for more publishing workshops.

View on site | Email this event

This event is offered in person. All members of the University of California system are welcome to attend. Advance registration requested but not required!

Can’t attend this event? Materials from prior UC Davis DataLab workshops are available on DataLab's website. Check out our workshop schedule for other upcoming trainings. Questions? Email datalab-training@ucdavis.edu.

Questions? Contact datalab-training@ucdavis.edu.

View on site | Email this event

Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

After this workshop, learners should be able to:

Understand and navigate funder requirements for data management and sharing.Use the Data Management Planning (DMP) Tool to organize research projects.Apply fundamental data management strategies during the active execution phase of research.Protect sensitive or personal data if collected during researchDistinguish between working data storage and open data repositories (platforms used for sharing and archiving final data).Locate the appropriate data repository for your specific discipline or project.Explain the broader importance of data reproducibility in the research ecosystem.Identify campus resources available for data support, including the DataLab, Research Data Management (RDM) Team, and the Clinical and Translational Science Center (CTSC).
No previous experience is required. All disciplines are welcome.

Please register for the Zoom link.

This six-workshop series is a collaboration between the library's Scholarly Communications Program, the Researcher Services department, and Blaisdell Medical Library. For any questions, please contact the Scholarly Communication Officer Michael Ladisch (mladisch@ucdavis.edu). Check our events calendar for more publishing workshops.

View on site | Email this event

The landscape of the academic and professional world is shifting. Whether you are an aspiring historian, a budding chemist, or a future sociologist, AI is no longer a "tech" skill—it’s a foundational literacy.

Developed through a collaboration between the UC Davis College of Letters & Science and DataLab, this 1-unit intensive course is designed to unveil Artificial Intelligence. We’ve stripped away the dense math and complex coding to give you a conceptual, high-level understanding of how artificial intelligence systems work, why they matter, and how to make them work for you.

Why Enroll?

In a single day, you will move from being a passive AI user to a critical, strategic collaborator. This training is specifically curated for L&S students to ensure you graduate with the competitive edge needed for the rapidly evolving, AI-driven workplace.

No technical background? No problem. This course has no prerequisites. It is designed for thinkers, writers, and researchers across all liberal arts and science disciplines.

The curriculum is divided into four deep-dive modules:

How AI Thinks
Understand the "brain" of the machine. We’ll explore the theories of language and cognition that allow Large Language Models (LLMs) to function, and provide a framework for evaluating their potential and limits.

How to Use AI Responsibly
AI isn't a magic wand—it’s a tool with a history and consequences. We discuss the environmental and societal impacts, how to ensure the veracity of AI results, and why reproducibility is the cornerstone of ethical tech.

How to Talk with AI
Master the art and science of prompt engineering. Learn what happens behind the scenes when you send a prompt. Develop sophisticated strategies to get the exact results you need.

Module 4: How AI Talks with You
A look at the future of AI implementation. From simple chatbots to complex autonomous "Agents," learn how AI is being embedded into systems and how to evaluate its activity.

By the end of this one-day course, you will be able to:

Define "AI" and distinguish it from traditional statistics and data science.

Identify whether a real-world problem is suitable for an AI solution.

Develop advanced prompting strategies that produce reliable, useful results.

Critically interrogate your own engagement with AI and its impact on our society and environment.

Apply Now

This intensive, one-day course will be offered five times during Spring Quarter 2026. You only need to signup for one date.

Time: 9:00 AM – 4:30 PM (with a break for lunch)

Credits: 1 Unit

CRN & location: Will be emailed to accepted and confirmed registrants.

Eligibility: Open to all students with a major in the College of Letters & Science.

Priority: Registration priority is given to Seniors (4th years) and students graduating in Spring or Summer 2026. Other students in the College of Letters and Science are encouraged to register and will be admitted as space permits.

View on site | Email this event

Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

No previous experience is required. All disciplines are welcome.

Please register for the Zoom link.

This six-workshop series is a collaboration between the library's Scholarly Communications Program, the Researcher Services department, and Blaisdell Medical Library. For any questions, please contact the Scholarly Communication Officer Michael Ladisch (mladisch@ucdavis.edu). Check our events calendar for more publishing workshops.

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The landscape of the academic and professional world is shifting. Whether you are an aspiring historian, a budding chemist, or a future sociologist, AI is no longer a "tech" skill—it’s a foundational literacy.

Developed through a collaboration between the UC Davis College of Letters & Science and DataLab, this 1-unit intensive course is designed to unveil Artificial Intelligence. We’ve stripped away the dense math and complex coding to give you a conceptual, high-level understanding of how artificial intelligence systems work, why they matter, and how to make them work for you.

Why Enroll?

In a single day, you will move from being a passive AI user to a critical, strategic collaborator. This training is specifically curated for L&S students to ensure you graduate with the competitive edge needed for the rapidly evolving, AI-driven workplace.

No technical background? No problem. This course has no prerequisites. It is designed for thinkers, writers, and researchers across all liberal arts and science disciplines.

The curriculum is divided into four deep-dive modules:

How AI Thinks
Understand the "brain" of the machine. We’ll explore the theories of language and cognition that allow Large Language Models (LLMs) to function, and provide a framework for evaluating their potential and limits.

How to Use AI Responsibly
AI isn't a magic wand—it’s a tool with a history and consequences. We discuss the environmental and societal impacts, how to ensure the veracity of AI results, and why reproducibility is the cornerstone of ethical tech.

How to Talk with AI
Master the art and science of prompt engineering. Learn what happens behind the scenes when you send a prompt. Develop sophisticated strategies to get the exact results you need.

Module 4: How AI Talks with You
A look at the future of AI implementation. From simple chatbots to complex autonomous "Agents," learn how AI is being embedded into systems and how to evaluate its activity.

By the end of this one-day course, you will be able to:

Define "AI" and distinguish it from traditional statistics and data science.

Identify whether a real-world problem is suitable for an AI solution.

Develop advanced prompting strategies that produce reliable, useful results.

Critically interrogate your own engagement with AI and its impact on our society and environment.

Apply Now

This intensive, one-day course will be offered five times during Spring Quarter 2026. You only need to signup for one date.

Time: 9:00 AM – 4:30 PM (with a break for lunch)

Credits: 1 Unit

CRN & location: Will be emailed to accepted and confirmed registrants.

Eligibility: Open to all students with a major in the College of Letters & Science.

Priority: Registration priority is given to Seniors (4th years) and students graduating in Spring or Summer 2026. Other students in the College of Letters and Science are encouraged to register and will be admitted as space permits.

View on site | Email this event

Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

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Claire Goldstein, professor of French and Italian, discusses In the Sun King’s Cosmos, her engaging study of how comets shaped scientific, political and cultural imagination in 17th century France.
Michael Dylan Foster, professor of East Asian Languages and Cultures, presents the expanded edition of The Book of Yokai, exploring the folklore, history and ongoing cultural life of Japan’s supernatural beings.

Covered: Spotlighting Faculty Authors in Letters and Science is co-sponsored by the Jan Shrem and Maria Manetti Shrem Museum and the UC Davis Library.

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The landscape of the academic and professional world is shifting. Whether you are an aspiring historian, a budding chemist, or a future sociologist, AI is no longer a "tech" skill—it’s a foundational literacy.

Developed through a collaboration between the UC Davis College of Letters & Science and DataLab, this 1-unit intensive course is designed to unveil Artificial Intelligence. We’ve stripped away the dense math and complex coding to give you a conceptual, high-level understanding of how artificial intelligence systems work, why they matter, and how to make them work for you.

Why Enroll?

In a single day, you will move from being a passive AI user to a critical, strategic collaborator. This training is specifically curated for L&S students to ensure you graduate with the competitive edge needed for the rapidly evolving, AI-driven workplace.

No technical background? No problem. This course has no prerequisites. It is designed for thinkers, writers, and researchers across all liberal arts and science disciplines.

The curriculum is divided into four deep-dive modules:

How AI Thinks
Understand the "brain" of the machine. We’ll explore the theories of language and cognition that allow Large Language Models (LLMs) to function, and provide a framework for evaluating their potential and limits.

How to Use AI Responsibly
AI isn't a magic wand—it’s a tool with a history and consequences. We discuss the environmental and societal impacts, how to ensure the veracity of AI results, and why reproducibility is the cornerstone of ethical tech.

How to Talk with AI
Master the art and science of prompt engineering. Learn what happens behind the scenes when you send a prompt. Develop sophisticated strategies to get the exact results you need.

Module 4: How AI Talks with You
A look at the future of AI implementation. From simple chatbots to complex autonomous "Agents," learn how AI is being embedded into systems and how to evaluate its activity.

By the end of this one-day course, you will be able to:

Define "AI" and distinguish it from traditional statistics and data science.

Identify whether a real-world problem is suitable for an AI solution.

Develop advanced prompting strategies that produce reliable, useful results.

Critically interrogate your own engagement with AI and its impact on our society and environment.

Apply Now

This intensive, one-day course will be offered five times during Spring Quarter 2026. You only need to signup for one date.

Time: 9:00 AM – 4:30 PM (with a break for lunch)

Credits: 1 Unit

CRN & location: Will be emailed to accepted and confirmed registrants.

Eligibility: Open to all students with a major in the College of Letters & Science.

Priority: Registration priority is given to Seniors (4th years) and students graduating in Spring or Summer 2026. Other students in the College of Letters and Science are encouraged to register and will be admitted as space permits.

View on site | Email this event

Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

We will also demonstrate how to strategically monitor your publication impact using tools like Scopus and Google Scholar, moving beyond simple citation counts to understand your global reach and field-weighted influence.

No previous experience is required. All disciplines are welcome.

Please register for the Zoom link.

This six-workshop series is a collaboration between the library's Scholarly Communications Program, the Researcher Services department, and Blaisdell Medical Library. For any questions, please contact the Scholarly Communication Officer Michael Ladisch (mladisch@ucdavis.edu). Check our events calendar for more publishing workshops.

View on site | Email this event

Drop in any time between 5-6 p.m. witih a book — physical, digital, audio + headphones (we don't judge!). Or pick something from our reading cart.

Stick around after for a cover selfie and meet fellow readers.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

The landscape of the academic and professional world is shifting. Whether you are an aspiring historian, a budding chemist, or a future sociologist, AI is no longer a "tech" skill—it’s a foundational literacy.

Developed through a collaboration between the UC Davis College of Letters & Science and DataLab, this 1-unit intensive course is designed to unveil Artificial Intelligence. We’ve stripped away the dense math and complex coding to give you a conceptual, high-level understanding of how artificial intelligence systems work, why they matter, and how to make them work for you.

Why Enroll?

In a single day, you will move from being a passive AI user to a critical, strategic collaborator. This training is specifically curated for L&S students to ensure you graduate with the competitive edge needed for the rapidly evolving, AI-driven workplace.

No technical background? No problem. This course has no prerequisites. It is designed for thinkers, writers, and researchers across all liberal arts and science disciplines.

The curriculum is divided into four deep-dive modules:

How AI Thinks
Understand the "brain" of the machine. We’ll explore the theories of language and cognition that allow Large Language Models (LLMs) to function, and provide a framework for evaluating their potential and limits.

How to Use AI Responsibly
AI isn't a magic wand—it’s a tool with a history and consequences. We discuss the environmental and societal impacts, how to ensure the veracity of AI results, and why reproducibility is the cornerstone of ethical tech.

How to Talk with AI
Master the art and science of prompt engineering. Learn what happens behind the scenes when you send a prompt. Develop sophisticated strategies to get the exact results you need.

Module 4: How AI Talks with You
A look at the future of AI implementation. From simple chatbots to complex autonomous "Agents," learn how AI is being embedded into systems and how to evaluate its activity.

By the end of this one-day course, you will be able to:

Define "AI" and distinguish it from traditional statistics and data science.

Identify whether a real-world problem is suitable for an AI solution.

Develop advanced prompting strategies that produce reliable, useful results.

Critically interrogate your own engagement with AI and its impact on our society and environment.

Apply Now

This intensive, one-day course will be offered five times during Spring Quarter 2026. You only need to signup for one date.

Time: 9:00 AM – 4:30 PM (with a break for lunch)

Credits: 1 Unit

CRN & location: Will be emailed to accepted and confirmed registrants.

Eligibility: Open to all students with a major in the College of Letters & Science.

Priority: Registration priority is given to Seniors (4th years) and students graduating in Spring or Summer 2026. Other students in the College of Letters and Science are encouraged to register and will be admitted as space permits.

View on site | Email this event

Register in advance for the Zoom link. This helps us connect you to the right expert for your question.

In addition to DataLab, the collaborative data science office hours are supported by:

Biostatistics (Clinical and Translational Science Center, CTSC)Computational Research Data Service (College of Letters & Science)High Performance Computing (HPC) CoreResearcher Services (UC Davis Library)Stat Lab (Department of Statistics)Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies based on availability.

Note: Office hours are intended for short "just in time" research support. If you require extensive assistance we may refer you a recharge service, upcoming funding/project calls, and/or other resources. We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event

Appointments are not required. Please complete the brief office hours intake form ahead of time to help us connect you with the right expert for your question.

Common office hours help topics include:

Open Source Programming (R, Python, Julia, etc.)Reproducible research computing and data scienceResponsible and ethical data scienceData gathering, organization, databases, and experimental designData analysis, statistics, and explorationData visualizationMachine learning and neural networksText mining and natural language processingGeospatial sciencesRemote and high performance computingComputational pedagogy… and more!Please note that drop-in office hours are not offered during University holidays, academic breaks and finals week. Summer schedule varies. DataLab may only be accessed during Shields Library's business hours. Click here for detailed directions to DataLab.

Note: We are unable to provide support for assigned coursework (homework assignments, class projects, etc.) during office hours. If you need such help please contact your instructor or TA for assistance. If you need help with technical problems such system administration and hardware issues, check out the the UC Davis ServiceHub and/or contact your departmental IT.

View on site | Email this event

Today's session is open-forum format to foster a communal, co-working environment. Come hang out and chat, work on your own, seek and give help, and make friends.

D-RUG meets Thursdays in person from 10 AM to 12 PM at the DataLab Classroom (Shields Library room 360) on the UC Davis campus.

Sign up for our mailing list to get the most up to date information, including a Zoom link to join us virtually if you can't make it in person. Learn more about D-RUG on our website.

View on site | Email this event