Are you working on a project that applies a variety of digital, electronic and hand tools such as 3D printing, Arduino microprocessors, soldering, assembling and others? We built a mobile cart with maker equipment and tools for you! This is now available for checkout at the engineering library. The cart comprises the following items (with additions in the coming weeks, based on need/requests):
arXiv.org is a great resource for pre-prints in Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance, Statistics, Electrical Engineering and Systems Science, and Economics. While the PDF format of the pre-prints hosted there is great for offline reading or printing, it's not the best choice for online viewing, and now there is a great alternative in arXiv Vanity (https://www.arxiv-vanity.com/).
Stanford University is a member organization of The Carpentries, a nonprofit dedicated to teaching foundational skills for research computing skills. This partnership is managed by Dr. Amy Hodge of the Stanford University Libraries, and is open to the entire campus community. Over the past few quarters the Stanford University Libraries have offered the popular two-day Software Carpentry workshops as an open enrollment to anyone on campus. Other campus organizations have also run and will continue to run similar versions of these workshops.
We are pleased to announce Lighting The Way: A National Forum on Archival Discovery and Delivery, a year-long project running from September 1, 2019 to August 31, 2020, funded by the National Leadership Grants for Libraries program of the Institute of Museum and Library Services. Lighting the Way will convene a series of national meetings focused on enhancing discovery and delivery for archives and special collections. The project builds on current and past efforts at Stanford Libraries around archives and technology, including ArcLight, ePADD, and the AIMS project.
In October 2019, the project team will launch an open application and nomination process for a National Forum, scheduled for January 2020, dedicated to discussion and brainstorming about both current successes and challenges to effective archival discovery and delivery. Project funding includes participant support costs for archives, library, and technology workers interested in improving how user-facing systems that support archival discovery and delivery work together. Find out more about Lighting the Way, including information on the project team, its goals, and its expected outcomes on our project website.
We are proud to announce the completion of the first phase of development of Mirador 3. For fourteen weeks between January and April, a team consisting of contributors from four institutions across the US and Europe rebuilt Mirador anew. Following a comprehensive year-long design process led by Jennifer Vine and Gary Geisler, a dedicated team of engineers from Stanford University, Universität Leipzig, Princeton University and Harvard University followed an agile software development process and produced a feature-rich alpha version that is ready for testing and ongoing development.
Monday, March 4, 2019 from 4:00 pm - 5:30 in the Bender Room at Green Library, Peggy Phelan and Maneesh Agrawala will join the library's digital research architect, Nicole Coleman to discuss the
Andy Warhol Photography Archive, Contact Sheets: 1976 - 1987 and how technology is changing our relationship with media.
Are you using computing in your research? Do you have questions about Stanford's complex array of computing resources? Join Stanford Libraries and the Stanford Research Computing Center for our annual Gear Up for Research event:
Gear Up for Research Computing
Tuesday, February 26, 9:45 am to 2:45 pm
Hartley Conference Center, Mitchell Earth Sciences Building
Register at: https://library.stanford.edu/projects/gear-research/winter-2019
The ePADD development team is thrilled to announce the release of ePADD 7.0 beta 1.
ePADD is free and open source software developed by Stanford Libraries' Special Collections & University Archives that uses natural language processing and machine learning to support archival appraisal, processing, discovery, and delivery for email of potential historical or cultural value.