The call for submissions is now open for the DataTech20 conference in Glasgow on 16 March 2020.
Proposals for workshops, talks, lightning talks, and posters are welcome, on topics such as:
Methods, tools and techniques for data science (e.g. probabilistic methods, spatial and time series, machine learning, handling missing data)
Ethical implications for processing data (e.g. using data for social good, algorithmic bias and algorithmic decision making, privacy enhancing technologies)
Natural Language Processing
Development and data workflows
DataTech is a one-day conference focusing on key topics in data science, and welcoming members of industry, academia, and the public sector alike. DataTech provides a forum for these different communities to meet, share knowledge and expertise, and forge new collaborations. It will be held at the Technology and Innovation Centre in Glasgow.
Why should you participate?
Last year, DataTech was a huge success, bringing together data communities from across Scotland and beyond: attendees travelled to join us from as far as the US, and Central and Eastern Europe. The keynotes were internationally-recognised experts, ready to share their knowledge on supercomputing (Debbie Bard, NERSC), machine learning and AI (Jared Lander, Lander Analytics/Columbia University), and reproducible data workflows (Mine Cetinkaya-Rundel, RStudio/Duke University, but now part of the University of Edinburgh). To see last year's slides and talks, please visit: https://www.datafest.global/slides.
This year, the first announced keynote is Colorado-based optics and AI researcher, Dr Janelle Shane. Janelle creates computer-controlled holograms for studying the brain, as well as other light-steering devices. She is also the maintainer of the popular science blog aiweirdness.com, which has been covered by WIRED, The Atlantic, NBC News, and Slate, and was even featured as a quiz question on 'Wait Wait, Don't Tell Me' - a popular radio panel show produced in Chicago. Some of Janelle's most popular experiments have included algorithms that try to generate recipes, paint colours, cat names, and candy heart messages - all examples designedto highlight the reasons to be skeptical of, and look more closely at, AI. Janelle has written for the New York Times, the New Yorker, Popular Science, and Slate. Her book 'You Look Like a Thing and I Love You: How AI Works and Why It's Making the World a Weirder Place' is an accessible, hilarious exploration of the present and future of artificial intelligence.
Janelle is also a 2019 TED fellow, so don't miss this opportunity to hear her present at DataTech20. You can register for the conference and submit your proposal here: https://www.datafest.global/data-tech
If you have any questions, please get in touch at: firstname.lastname@example.org
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