About The Webinar
When content and platform providers dream of offering smart services to their clients, what do they envision as their value-added offering? Provisioning text and data mining services? Support for the Internet of Things or for Big Data? This session will bring together publishing technologists to spotlight what they see as emerging trends and the rationale for development. Of course, from the customer’s point of view, the issue is whether such smart services are truly in demand from the user population. This webinar is intended to bring together the various stakeholders to look at emerging technologies serving diverse research communities.
Confirmed Speakers: Travis Hewgley, Director, Institutional Partnerships, Code Ocean; Catherine Nicole Coleman, Digital Research Architect, Stanford University Libraries; Sharon Garewal, Taxonomy Manager, JSTOR.
If It's Not Reproducible, It's Not Science: Computational Reproducibility with Code Ocean
Code has become a crucial component of the scientific life cycle. Researchers develop algorithms, software simulations, and analyses in different programming languages and in different versions. Code Ocean is an open, computational reproducibility platform that allows researchers to discover, collaborate and execute code. It also serves as an executable repository where code can be housed deposited and preserved.
Harnessing the power of a semantic index at JSTOR
The JSTOR Thesaurus provides discovery opportunities for students and researchers by highlighting the relevant terms within documents. JSTOR is experimenting with the semantic index by using a thesaurus that is powered by a rule base that is both automated and human edited. The rule base approach is currently seen on http://www.jstor.org/ platform labeled as “Topics”. Further investigation is being done on the JSTOR Labs side using the thesaurus and LDA topic modeling as, in effect, a rule base to find latent terms within documents. The Text Analyzer https://www.jstor.org/analyze/ can further prioritize terms to find content in JSTOR. Having both approaches available to users aids in discovery and search. Sharon will discuss both approaches and plans for integration and future uses.
The role of Libraries in the design of human-centered artificial intelligence
Developments in artificial intelligence (AI) are advancing rapidly and have, in many cases, already become integral to our daily computing activities whether is searching the Web, navigating a route, filtering email messages, or considering the recommendations of online services. Similarly, AI-driven technologies will permeate the day-to-day activities of the library from acquisitions to cataloguing, to search and discovery. But libraries have a pro-active role to play in human-centered AI, which emphasizes the design of technology such that it reflects the depth and richness of human intelligence, enhances our access to knowledge, and is guided by a concern for the past as well as the future.
Cancellations made by Wednesday, May 2, 2018 will receive a refund, less a $35 cancellation. After that date, there are no refunds.
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