Cornell University Library Invites Students and Faculty to Brainstorm Ideas for Future Renovations of Olin and Uris Libraries
From Cornell University:
With well over 1.6 million visits a year, the Olin and Uris libraries are major parts of the Cornell experience. Soon, that experience could be a new one – even for those who have walked through their doors hundreds of times.
Cornell University Library has scheduled a pair of design research workshops – one for students, one for faculty – to brainstorm ideas for future renovations of both libraries.
Cornell and planning firm brightspot strategy llc recently signed a contract to collaborate on the Olin and Uris Libraries Renovation Feasibility and Program Study. The study will develop a vision for spaces in Olin and Uris; the goal is to produce high-level conceptual design options for both libraries by the end of 2019.
Several major steps will need to be taken between the completion of the feasibility and program study in December and any eventual renovation. The conceptual designs created by the study will assist in fundraising toward future building renovation projects.
Once funding is available, detailed designs will be developed with stakeholder input. No construction is likely to begin before 2022.
To learn more about the Olin and Uris Libraries Renovation Feasibility and Program Study, read the study FAQs on the library improvement project blog site.
Read the Complete Cornell Chronicle Item
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.