Learning advanced disciplinary knowledge & skills
“Interiorities: Reflecting Subjectivity and Sociality” brings together doctoral students and scholars from both coasts to reflect on how social life conditions the formation, exposure, and expression of selfhood, while paying close attention to the irreducible features of subjective experience. Through a series of panel discussions, lectures, and a reading session, we hope to encourage the dialogue between disciplines across the humanities and interrogate art forms and discursive modes that bring into focus the meeting of subjects and worlds.
April 27-28, 2018
Join the Science, Engineering, and Earth Sciences Libraries for our annual Gear Up. This year's event is focused on scientific and technical publishing and features sessions aimed at helping you write catchy abstracts, share your data, and learn from journal editors about how to get published.
Do you have questions regarding statistical analyses of your work?
Interested in pursuing internships, research projects, and/or public service beyond Stanford? Check out SOLO, Stanford's central location for off-campus learning opportunities.
This workshop provides an overview of the principles of data management, including best practices for documentation and file management. We will share some useful tools for making your data management workflow easier.
This workshop is offered by Stanford Libraries' Center for Interdisciplinary Research as part of its mission to provide training in technical academic research practices and applied research methods.
Discover: Social science data sources for your researchMeet: Subject Librarians & Data Provider Representatives at GSB Workshops & the Green Library Data ExpoAttend: Data Talks, Workshops and Demos, Tour the David Rumsey Map CenterWhere: Graduate School of Business Library (GSB) & Green Library
Graduate School of Business Library (Bass Center) from 9:00AM-12:00PMWorkshops and information sessions include:
This workshop teaching basic data manipulations with Python using the Pandas library, and will cover topics such as loading data into a Pandas DataFrame, performing basic cleaning and analysis, and visualizing relevant aspects of a dataset. To learn these skills concretely, we will work with a dataset of tweets collected during the release of the Apple Watch.
Scientists are facing increasing calls to be more transparent with their methods, study results, and data. Advocates of open science believe that more broadly sharing data will improve the application and replicability of research, but critics warn of unintended consequences. This health policy forum features two distinguished speakers–PJ Devereaux, MD, PhD, FRCPC, Director of the Division of Cardiology at McMaster University, and Nigam Shah, MBBS, PhD, Associate Professor (Biomedical Informatics Research) and of Biomedical Data Science, Stanford–who will p
Your relationship with your faculty advisor is an essential part of your graduate school experience. Learn practical skills and discover resources to help you communicate effectively and resolve issues with your faculty advisor.
Helen J. Doyle, PhD, associate vice provost for graduate education, VPGE
Read Helen's bio