Data Science newsletter – January 10, 2017

Newsletter features journalism, research papers, events, tools/software, and jobs for January 10, 2017

GROUP CURATION: N/A

 
 
Data Science News



Online certification in Advanced Analytics in Higher Education

Arizona State University


from

The graduate certificate in Advanced Analytics in Higher Education at ASU Online prepares professionals to conduct advanced analytics and assist university personnel in making data-driven decisions for higher and postsecondary education.


What can we learn from StackOverflow data?

Microsoft, Revolution Analytics, Revolutions blog


from

Various data scientists have investigated this database, and learned some interesting things about programmers in the process. Here are a few examples, with links to the complete reports.


Finger on the Twitter? U of T expert analyzes @realDonaldTrump

University of Toronto, U of T News


from

U of T News spoke with Alex Hanna, an assistant professor at U of T Mississauga’s Institute of Communication, Culture, Information and Technology and U of T’s Faculty of Information to get some insight. Hanna’s research focuses on new and social media.


Culture Meets Evolution: The Marcus Feldman Q&A

Quanta Magazine, Elizabeth Svoboda


from

The biologist Marcus Feldman creates mathematical models that reveal how cultural traditions can affect the evolution of a species.


Lehigh aims to expand 20 percent, add health college

The Washington Post, Nick Anderson


from

Under university President John Simon, who took office in 2015, Lehigh has approved a plan to add 1,000 undergraduates — 20 percent more than the current total of 5,000-plus — as well as about 200 graduate students and 100 tenured and tenure-track faculty positions.

The expansion would occur during the next several years, through 2025, as Lehigh adds residence halls and academic buildings to accommodate its growth in Bethlehem. There would be a new life sciences laboratory on the Mountaintop campus and a new health-technology building on the Packer campus.


Topics and concepts I’m excited about (Paper of the Future)

C. Titus Brown, Living in an Ivory Basement blog


from

Here is a set of things that I’m pretty excited about in the world of scholarly communication! … 1. The wonderful ongoing discussion around significance and reproducibility.


NYU Professor Named a Leading Global Thinker of 2016

NYU Center for the Humanities


from

Wafaa Bilal has been named one of the Leading Global Thinkers of 2016 for his advocacy work. Bilal is an artist and associate arts professor at NYU Tisch School of the Arts.


Data Could Be the Next Tech Hot Button for Regulators

The New York Times, Steve Lohr


from

Wealth and influence in the technology business have always been about gaining the upper hand in software or the machines that software ran on.

Now data — gathered in those immense pools of information that are at the heart of everything from artificial intelligence to online shopping recommendations — is increasingly a focus of technology competition. And academics and some policy makers, especially in Europe, are considering whether big internet companies like Google and Facebook might use their data resources as a barrier to new entrants and innovation.


Back to Self-Driving School: The Simulator Teaching Vehicle AIs Road Sense

ZDNet, Anna Solana


from

Even autonomous cars have to learn to drive, so the Computer Vision Center in Barcelona has been busy developing its simulation system for training self-driving vehicles.


Scientific papers need better feedback systems

Wired UK, Richard Price


from

The current peer-review system is limited to asking two people for their opinions – this is not enough

 
Events



UW Data Science Seminar



Seattle, WA Wednesday, January 18, “Adventures in Little Data” with Paul Ginsparg from Cornell University. Location is Johnson Hall 102

Teach-in & Workshop: Protecting Climate Data



Los Angeles, CA The Center for Knowledge Infrastructures co-organize and co-sponsor with the UCLA Department of Information Studies a Teach-in & Workshop event to sustain access to essential data on climate change. Friday, January 20. [free, rsvp required]

VanHAC Announcement: Ticket Sales and Headliners!



Vancouver, BC, Canada Keynote is Meghan Chayka from Stathletes. Later in the day SportNet’s Dan Murphy and Dimitri Filipovic, will be hosting a Naked Eye vs Nerdy Guy panel, Saturday, March 11. [$$]
 
Deadlines



The Roux Prize

The Roux Prize, given by University of Washington, Institute for Health Metrics, and Evaluation is intended for anyone who has applied burden of disease research in innovative ways to improve population health. Deadline for nominations is Tuesday, January 31.
 
NYU Center for Data Science News



relationships between software publications and software systems

David W. Hogg


from

As given at #AAS229 in the Special Session on sofware


The Master’s Experience: Interviews with our Winter Graduates

NYU Center for Data Science


from

Congratulations to our Master’s candidates who graduated last semester: Pan Ding, Jacqueline Gutman, Alexandre Sablayrolles, Rama Krishna Raju Samantapudi, and Olivia Yang! We caught up with them over the holidays to find out how their time at NYU has been, and where they’ll be going next.

 
Tools & Resources



Deep Reinforcement Learning Papers

GitHub – junhyukoh


from

“A list of recent papers regarding deep reinforcement learning.
The papers are organized based on manually-defined bookmarks.”


From Python to Numpy

Nicolas P. Rougier


from

There are already a fair number of books about Numpy (see Bibliography) and a legitimate question is to wonder if another book is really necessary. As you may have guessed by reading these lines, my personal answer is yes, mostly because I think there is room for a different approach concentrating on the migration from Python to Numpy through vectorization. There are a lot of techniques that you don’t find in books and such techniques are mostly learned through experience. The goal of this book is to explain some of these techniques and to provide an opportunity for making this experience in the process.


nbdime

Project Jupyter


from

nbdime provides tools for diffing and merging Jupyter notebooks.

Leave a Comment

Your email address will not be published.