[Everyone] Registration deadline - EWASS Special Session 34 on data visualisation and machine learning
Amruta Jaodand
amruta.jaodand at gmail.com
Fri Mar 1 11:12:38 EST 2019
Dear all,
Apologies if you receive this email more than once.
We would like to invite you to our Special Session 34: Understanding data:
Visualisation, machine learning, and reproducibility at EWASS 2019, Lyon,
France.
Our session is organised across three chief blocks as highlighted in the
title, and we aim to focus on following topics:
-
Best practices in data analysis and visualisation techniques
-
Spatial and nonspatial data visualisation
-
Dealing with big data
-
Machine learning and data mining techniques and current status in
astronomy
-
Creating and using reproducible workflows for reproducible research
-
Best practices for reproducibility
We invite your contributions in form of oral and poster presentations on
relevant topics.
More information on the session can be found here:
https://eas.unige.ch/EWASS2019/session.jsp?id=SS34
Important upcoming deadlines:
-
10 Feb. 2019 : End of very early bird registration
-
3 Mar. 2019 : Abstract submission deadline
-
28 Apr. 2019 : End of early bird registration
-
23 Jun. 2019 : End of regular registration
This session would operate in synergy with Hack Day at EWASS
<https://eas.unige.ch/EWASS2019/session.jsp?id=SS35>.
In this EWASS 2019 session we strive to promote diversity in scientific
topic, level of expertise, and demographics such as seniority, gender,
race/ethnicity, and country of origin.
Hope to see you in Lyon!
Best regards,
SOC of special session SS34:
John Wenskovitch, Virginia Tech (US)
Amruta Jaodand, ASTRON-Netherlands Institute of Radio Astronomy (NL)
Alice Allen, Astrophysics Source Code Library (US)
Mohammad Akhlaghi, Centre de Recherche Astrophysique de Lyon (FR)
Rachael Ainsworth, University of Manchester (UK)
David Valls-Gabaud, Observatoire de Paris (FR)
-------------------------------------------------------------------------------------------------------------------------
Amruta Jaodand.
PhD Student.
Netherlands Institute for Radio Astronomy (ASTRON) | Anton Pannekoek
Institute for Astronomy and Astrophysics, University of Amsterdam.
M: Postbus 94249, 1090GE Amsterdam
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