[Asis-l] Come early: Learn lots TWO workshops before ASIS&T

[Pilsk, Suzanne]

Right before the ASIS&T meeting –
You should really plan on coming to D.C. early for the International Council for Scientific and Technical Information (ICSTI) workshops
ICSTI’s 2017 General Assembly & Workshops to take place at the Library of Congress in Washington, DC on 26th October.
ICSTI meeting will precede the 80th Meeting of the Association for Information Science and Technology (ASIS&T<https://www.asist.org/>) giving ICSTI and ASIS&T delegates the opportunity to attend both events.
ITOC Workshop:   Next generation metrics for open science
As science shifts towards collaborative endeavour, transparency of process and increasing significance of data driven research, new modes of work and expertise are emerging in academia. However, common metrics, which aim to benchmark the impact and value of research mostly, emphasize traditional scientific outputs (publications in high impact journals). Novel bases and methods of research and forms of scholarly communication are not included, e.g. data curation, data publication, new modes of scientific output including video abstracts, blogs, micro publications and the sharing of scientific tools and software. To develop new modes of scholarly communication and activity that ensure transparency, reproducibility and reusability, additional systems are necessary to recognize and value new scientific roles (e.g. data experts) and new incentive/accreditation processes for science researchers. This workshop presents thoughts on how to address these imperatives for change.
The Presenters:
Julia Klebanov, Moore Foundation - Presentation title: Funding basic science: balancing elusive impacts and rigorous measurement
Julia Lane, NYU Wagner School, Center for Urban Science and Progress - Presentation title: Measurement matters
Vincent Larivière, École de bibliothéconomie et des sciences de l'information, Université de Montréal
Daniella Lowenberg, California Digital Library - Presentation title: Make Data Count
Paul Wouters, Director Centre for Science and Technology Studies, Leiden University - Presentation title: Next generation indicators for open science


TACC Workshop:  Machine Learning and Its Applications to Scientific and Technical Information
Machine learning may be the next great innovation in knowledge search and discovery.  Machine learning describes what happens in machines that get trained to perform a task by exposure to examples of what they’re supposed to learn.  It’s already happening all around us in the development of facial and object recognition; self-driving cars; instant language translation; and speech recognition.  This workshop will explore machine learning and its applications relevant to science and, more specifically, to various forms of scientific and technical information, including images, data, and text.
The Presenters:
Andrew Fast, Elder Research - Andrew will give an overview of machine learning, its history, and applications.
Andrew Mc Callum, University of Massachusetts - Andrew will speak about machine learning for information extraction from the scientific literature, building knowledge bases of science, and various efforts in AI to build tools to aid scientists.
Ruth Pickering, Yewno - Ruth will speak about Yewno Life Sciences which uses machine-learning to create a research tool modeling the behaviour of complex biosystems.
Thomas Potok, Oak Ridge National Laboratory - Presentation title: Machine Learning for Scientific Discovery
Georgia Tourassi, Oak Ridge National Laboratory - Presentation title: Deep Learning Enabled National Cancer Surveillance


Watch often the dedicated page of the ICSTI website<http://www.icsti.org/> for updates.
Follow us  #icstiGA2017
Please feel to contact the Secretariat for any questions: icstioffice at gmail.com<mailto:icstioffice at gmail.com>






Suzanne C. Pilsk
Head, Metadata Department
v. 202-633-1646
pilsks at si.edu<mailto:pilsks at si.edu>

Digital Programs and Initiatives Division
Smithsonian Libraries | http://library.si.edu
10th Street & Constitution Avenue, NW
MRC 154, NH-37G
Washington, D.C.
20013-7012
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