DataTech20 Seeking Speaker Submissions (16 March 2020, Glasgow)
DataTech is a one-day conference on 16 Mar 2020, at the Technology and Innovation Centre in Glasgow, 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. We are currently welcoming workshop, talk and poster proposals for the DataTech20 conference.
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. Join us on 16 March 2020, at the Technology and Innovation Centre in Glasgow, to share emerging research in data science with other data scientists, analysts, developers and data engineers.
We are welcoming workshop, talk and poster proposals for the DataTech20 conference, on topics such as:
- Methods, tools and techniques for data science (e.g., Probabilistic methods, Spatial & time series, Machine learning, Handling missing data, etc.)
- Ethical implications for processing data (e.g., Using data for social good, Algorithmic bias and algorithmic decision making, Privacy enhancing technologies, etc.)
- Natural Language Processing
- Development & data workflows
- Data visualisation
Last year, DataTech was a huge success, bringing together data communities from across Scotland, the US, as well as Central and Eastern Europe. Our keynotes were internationally-recognised experts in supercomputing (Debbie Bard, NERSC), machine learning and AI (Jared Lander, Lander Analytics/Columbia University), and reproducible data workflows (Mine Cetinkaya-Rundel, RStudio/Duke University, now part of The University of Edinburgh).
This year, our 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'. Some of Janelle's most popular experiments have included algorithms that try to generate recipes, paint colors, cat names, and candy heart messages - all meant to 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 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