[hpc-announce] IEEE eScience 2016: Abstracts due May 16, Papers due May 23

[Alex Szalay]

eScience Community,

Deadline for the IEEE eScience 2016 conference in Baltimore Maryland are approaching fast --- abstract are due Monday May 16, and full papers due one week later on May 23!

Submit your abstracts here:
https://cmt3.research.microsoft.com/ESCIENCE2016

We welcome submissions in cyberinfrastructure in support of science, systems and methods for data-intensive science, case studies in new discoveries enabled by eScience techniques and technologies, and scientometrics -- bibliometrics, reproducibility studies, sustainability studies, and more.

More information on the conference website:
http://escience-2016.idies.jhu.edu/call-for-papers/

The conference is October 23 through 27 -- we hope to see you there!!

Bill Howe and Martin Kersten, Program Chairs
Alex Szalay and Randal Burns, General Chairs

>From the call:

eScience continues to have a transformative impact across all fields. New discoveries are increasingly driven by the techniques and technologies of advanced computing, and eScience is the only community that brings together researchers, practitioners, sponsors, and users, across all disciplines and at all scales, to share ideas about how to design, deliver, and use these approaches. The eScience 2016 conference will serve as the premier forum to present the latest research in systems, applications, and products from the international and interdisciplinary eScience community.

A special emphasis for the 2016 conference is data-intensive science, scientific data management, and data science. In recent years, data-intensive science has taken center stage, and for good reason: in all fields, and at all scales, the bottleneck of discovery has shifted from data acquisition to data analysis, and the software and systems designed to extract knowledge from large, noisy, heterogeneous datasets are having transformative impact. In addition to the core topics of the eScience community, we encourage papers on systems, methods, and infrastructure supporting the integration, management, analysis, and visualization of complex datasets in one or more scientific fields.

Major topics include but are not limited to:

Data-Intensive Science:

Scientific Databases
Open Science and Open Data
Sharing Sensitive Data and Data Privacy
Collaborative Data Analysis
Visualization and Visual Analytics
Citizen Science

Cyberinfrastucture for Science:

Cloud computing platforms and applications
High-performance computing platforms and applications
Scalable Dataflow platforms and applications
Complexity-hiding middleware
Application deployment and integration

Progress in major theme areas, e.g.:

Precision Medicine, Translational Health Research
Climate, Environmental, and Earth Science
Civic Tech, Urban Data Science, Smart and Connected Communities
Social Media Analytics
Computational Social Science
Digital Humanities
Education Analytics
Engineering

Scientometrics:

Scholarly Big Data and Large-Scale Bibliometrics
Altmetrics and Scholarly Impact
Reproducibility Studies
Scientific Demographics
Sustainability, Costs, and Funding


Important Dates

Conference: October 23 through 27, 2016
Abstract Submission deadline: Monday May 16
Paper Submission Deadline: Monday May 23
Notification of Acceptance: July 5, 2016
Camera-Ready Papers due: August 1, 2016

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