AIDR 2019: Artificial Intelligence for Data Discovery and Reuse
May 13-15, 2019
Carnegie Mellon University
Confirmed Keynote Speakers include:
Abstract submission deadline: February 1, 2019
Supported by the NSF scientific data reuse initiative and in-cooperation with ACM, AIDR 2019 aims to find innovative solutions to accelerate the dissemination and reuse of scientific data in the data revolution. The explosion in the volume of scientific data has made it increasingly challenging to find data scattered across various platforms. At the same time, increasing numbers of new data formats, greater data complexity, lack of consistent data standards across disciplines, metadata or links between data and publications makes it even more challenging to evaluate data quality, reproduce results, and reuse data for new discoveries.
We invite AI researchers, scientific data community, and data management community from both academia and industry to join us at AIDR 2019 to share solutions and ideas that address these challenges using the power of AI. At this meeting, you will have plenty of opportunities to showcase your work, have thought-provoking conversations, and form collaborations with peer participants. A list of relevant topics can be found at the event website.
We are accepting Abstract submissions for Long Talks, Short Talks, Posters, and Panel Discussions. Students selected to present will be entered for competitions in their respective presentation categories. Participants will also have the opportunity to sign up for one of the “Breakout Cafes” to host or attend an informal discussion / lightning talk on a topic of their choice. After the conference, authors of selected Abstracts will be invited (but not mandatory) to submit their full paper to peer-reviewed conference proceedings.
We sincerely hope you will be able to join us at AIDR 2019, and have a chance to interact with the world-class AI and data community at CMU and from all over the country. Please do not hesitate to contact email@example.com for questions.