.Astronomy X

Baltimore, United States

Name: .Astronomy X
Start: 2018
Location: Space Telescope Science Institute (STScI), Baltimore, Maryland

24–27 September 2018 Space Telescope Science Institute (STScI), Baltimore, Maryland

The tenth edition of .Astronomy, held at the Space Telescope Science Institute in Baltimore -- science operations centre for the Hubble Space Telescope and James Webb Space Telescope. The Roman numeral X made for a fittingly memorable name. Organised jointly by STScI staff and the .Astronomy Brain Trust.

// organisers

Organisers

Sarah Kendrew (ESA)
Arfon Smith (STScI)
Erik Tollerud (STScI)
Joshua Peek (STScI)
Ivelina Momcheva (STScI)
Tom Donaldson (STScI)
Susan Kassin (STScI)

// talks

Talks

Full schedule (XLSX)

Day Zero

Sarah Kendrew:: Ten Years of .Astronomy (plenary)
Jane Rigby:: The Future of NASA Astrophysics Missions (plenary)
Erik Tollerud:: Intro to open source, Astropy, and open development; Python packaging
Clara Brasseur and Tom Donaldson:: Making use of MAST (Mikulski Archive for Space Telescopes)
Matthew Bourque and Jules Fowler:: Git(Hub) 401
Azalee Bostroem and Lauren Chambers:: Git(Hub) 101
Clara Brasseur and Steve Crawford:: Kicking the tires: Astropy and Astroquery
Jamie Kinney:: Introduction to Google Cloud
Jules Fowler and Matthew Bourque:: Flask
Frank Summers:: Cinematic Astronomy (plenary close)

Talks

Invited talks:
James Howison (invited): Software makes science better, but is it research? Arguments for a research agenda in scientific software work
Alcione Mora (invited): Gaia: science, data and challenges
Contributed talks:
Stephanie Juneau:: Galaxy Evolution at the crossroad of Astronomy and Data Science
Ayat Mohammed:: Visualize This: Lessons from the front-lines of high-performance visualisation
Lauren Chambers:: A Different Kind of Dark Energy: Placing Race and Gender in Physics
Brian Nord:: Ethics in AI: What does the future hold for science, work, privacy, justice?
Unconference sessions (3 parallel tracks):
Invited talks:
Andrew Connolly (invited): Back to the Future: a decade of LSST development and the growth in machine learning
Jarita Holbrook (invited): Educating Astrophysicists in South Africa
Sarah Hörst (invited): The Role of Laboratory Work in Space Science
Contributed talks:
Dara Norman:: Can Big Data Lead an Inclusion Revolution?
Craig Jones:: Hubble Image Discovery using Transfer Learning

Unconference Sessions

Bokeh 101 [David R] notes
Make Astro People Believe Social Scientists [Azalee] notes
What Can Google Do for Astronomers [Rob S] notes
Deep Learning with Kepler [Jonathan F] notes
NOAO Data Lab: Tutorials and Demos [S. Juneau] notes
More Discussion about Credit for Software [Chris L] notes
Cloud Compute 101 [Iva M] notes
Multi-Dimensional Data-Viz with Glue [Catherine Z] notes
Thinking More About Race/Gender in Physics [Lauren C] notes
Techniques and Tools for Maintaining Mental Health [Bridget]
What Should Journals do with Jupyter Notebooks? [Chris L]
Inclusiveness Statistics [Geert]
How do We Build a Culture, Software and Data Astro Discovery Engine? [Josh]
Q&A on Astro to Tech Careers
Reproducibility in Astronomy: How are we Doing? [Erik]
Auto ML 101 [Iva]
Which Viz Tools to Use to Explore Images and Catalogues [Stephanie]
What Are Interesting Astro Compute Problems Other than Big Scale Simulation? [Jules]