[Bessig] Cementing Data Science as an accredited profession

[Lynn Yarmey]

Hello BESSIG,

If you are still contemplating your AGU abstract, please consider presenting at the session I am co-convening with a group of fantastic women:  IN049: Towards a Career in Data Science: Pathways and Perspectives.  We would like to see a diverse range of perspectives in the discussion, and if there was ever a group that embodied this diversity it would be BESSIG!  It would be great to hear your take on the roles (formal and informal) in your part of the data landscape.

Feel free to forward along to anyone you think would be interested, and I hope to see you in San Francisco!

Many thanks,
Lynn

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Lynn Yarmey
National Snow and Ice Data Center
University of Colorado Boulder




Data Science has been described as 'the hottest job you haven't heard of.'


As data became more voluminous, science entered a new mode of operation: that of data intensive science. Slowly and often by stealth, a new breed of researcher began to emerge: that of the 'Data Scientist' who has expertise in both domain science and elements of computer science. They can communicate in both the science and technical fields and are key to translating the data deluge into new research insights and awesome results. They are integral to any team generating and processing data, and have an essential role in the growing field of interdisciplinary data-driven research.


But Data Scientists remain largely behind-the-scenes...


To raise awareness of the potential and rewards of a career in Science Data we are convening this session at the AGU Fall Meeting 2015. Please come and tell us about:

  *   YOUR story;

  *   The work YOU do;

  *   The courses YOU are running;

  *   Why YOU are hiring data scientists and the training you need them to have.

IN049: Towards a Career in Data Science: Pathways and Perspectives


Session Description:

Data scientists are playing an increasingly prominent role in earth and space sciences informatics, and large geosciences projects in general, yet there are many pathways towards this role. This session will present various perspectives on building a career in data science, including: university programs that provide a degree or specialization, with commentary on the career trajectories of their graduates; early-career scientists with perspectives on how they successfully landed a data science position; mid-career practitioners that have moved from either straight domain science or computer science/IT explaining how they made the transition successfully; managers describing the diversity of data science positions they have and how they hire for them; and late-career professionals reflecting on their accumulated experience and the trends that they see.


Our confirmed Invited Presenters are :


Cyndy Chandler: Information System Specialist, Woods Hole Oceanographic Institution


Kerstin Lehnert: Senior Research Scientist, Lamont-Doherty Earth Observatory, Columbia University


Carole Palmer: Professor, Information School, University of Washington


Read more on: https://agu.confex.com/agu/fm15/preliminaryview.cgi/Session8942


Here is a direct link to submit: https://agu.confex.com/agu/fm15/in/papers/index.cgi?sessionid=8555


Please note that abstracts are due by Wednesday, August 5, 2015 at http://fallmeeting.agu.org/2015/abstract-submissions


BUT if you submit before the 29 of July you could be eligible for a free registration:  http://fallmeeting.agu.org/2015/submit-early-win-big-rules-and-guidelines/



Karen Stocks, Ruth Duerr, Lynn Yarmey and Lesley Wyborn

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