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Current Events

Data Science
Description:
To instruct future scientists how to sustainably generate/ collect and use data for their research as well as for others: data science. To instruct future technologists how to understand and support essential data and information needs of a wide variety of producers and consumers For both to know tools, and requirements to properly handle data and information Will learn and be evaluated on the full life-cycle of data and relevant methods, technologies and best practices.
Data science is advancing the inductive conduct of science and is driven by the greater volumes, complexity and heterogeneity of data being made available over the Internet. Data science combines aspects of data management, library science, computer science, and physical science using supporting cyberinfrastructure and information technology. It is changing the way all of these disciplines do both their individual and collaborative work. Key methodologies in application areas based on real research experience are taught to build a skill-set. To instruct future scientists how to sustainably generate/ collect and use data for their research as well as for others: data science. To instruct future technologists how to understand and support essential data and information needs of a wide variety of producers and consumers For both to know tools, and requirements to properly handle data and information Will learn and be evaluated on the full life-cycle of data and relevant methods, technologies and best practices.

Dates: September 5, 2017 - December 12, 2017
Concepts: Provenance, Data Visualization, Data Curation, Data Management, eScience, Repeatability, Scientific Workflow, Data Management Plan, Data Science
ISWC 2017
Description:
ISWC 2017 is the premier international forum, for the Semantic Web / Linked Data Community. ISWC 2017 will bring together researchers, practitioners and industry specialists to discuss, advance, and shape the future of semantic technologies. Every year ISWC offers five exciting and fruitful days that you definitely don’t want to miss!

Dates: October 21, 2017 - October 25, 2017
Concepts: Semantic Web


Recent Events

TWed Discussion: Knowledge Graph Engineering with Satoru
Description:
TWed Talk: Weds, 27 Sep (6p *AE 217*)
TITLE: "Knowledge Graph Engineering with Satoru"
LEADER: Jim McCusker
VIDEO: TWed video streams
EVENT: Youtube
KEYWORDS: Semantalytics, Knowledge Graphs, Semantic Web, RDF, Data Science

Knowledge graphs provide a powerful basis for data science, enabling researchers to more naturally and effectively leverage the semantics of domain science in all aspects of the data analytic workflow. In this talk Jim McCusker, Director of Data Operations for Tetherless World Constellation and the architect of Satoru, will discuss how this powerful new framework makes the construction and application of knowledge graphs more accessible to domain scientists.

NOTE: This talk is highly relevant for several of the current projects in Data Analytics Research Lab (Fall 2017); DARL students are strongly encouraged to attend. We are holding this TWed in the Data INCITE Lab (AE217) to make more space available.

DESCRIPTION: Satoru is a nano-scale knowledge graph publishing, management, and analysis framework. Satoru aims to support domain-aware management and curation of knowledge from many different sources. Its primary goal is to enable creation of useful domain- and data-driven knowledge graphs. Knowledge can be contributed and managed through direct user interaction, statistical analysis, or data ingestion from many different kinds of data sources. Every contribution to the knowledge graph is managed as a separate entity so that its provenance (publication status, attribution, and justification) is transparent and can be managed and used.

BIO: Jim McCusker is Director of Data Operations for Tetherless World Constellation at RPI and is the architect for Satoru. Jim specializes in the use of knowledge graphs in biomedical research, most notably "Finding melanoma drugs through a probabilistic knowledge graph." He has worked as a software developer for more than a decade in bioinformatics, high performance computing, data mining, natural language processing, and supply chain auditing.

REMINDERS:
  • ALL TWC STUDENTS are STRONGLY encouraged to attend, regardless of whether the talk is in your specific research area.
  • TWC STUDENTS: SIGN UP NOW for your Fall 2017 LIGHTNING TALK!
  • ALL: Sign up for RPIrates, the RPI R Users Group here
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TWed Logistics (Spring 2017):
  • TWed schedule
  • Snacks will be provided for TWed Talks
  • Live video streams of TWed Talks are now available via YouTube

Dates: September 27, 2017 - September 27, 2017
Concepts: Knowledge Graph
Research Data Alliance Tenth Plenary
Description:

Dates: September 19, 2017 - September 21, 2017
Concepts: Semantic Foundation, Data Science, Provenance, eScience