From: "Cliff Lynch cliff@cni.org" Sender: To: CNI-ANNOUNCE Date: Fri, 29 Mar 2019 05:28:00 -0400 Message-ID: X-Original-Return-Path: Received: from [192.100.21.30] (account clifford@cni.org [192.100.21.30] verified) by cni.org (CommuniGate Pro SMTP 6.2.7) with ESMTPSA id 34987959 for cni-announce@cni.org; Thu, 28 Mar 2019 17:42:20 -0400 X-Original-Date: Thu, 28 Mar 2019 17:35:45 -0400 X-Original-To: cni-announce@cni.org X-Original-Message-ID: <20190328173545686607.84d0b7a5@cni.org> Subject: Preliminary Program for AI in Data Discovery and Reuse MIME-Version: 1.0 Content-Type: text/plain; charset=koi8-r Content-Transfer-Encoding: quoted-printable X-Mailer: GyazMail version 1.5.21 Carnegie Mellon University in Pittsburgh is hosting a very interesting=20 conference on the role of Artificial Intelligence in Data Discovery and=20 Reuse; I had mentioned this before on CNI-announce but wanted to note=20 that the preliminary program is now available. Early bird registration=20 has passed, but I believe that regular registration remains open.=20 Clifford Lynch Director, CNI -------------------- AIDR 2019: Artificial Intelligence for Data Discovery and Reuse @ Carnegie Mellon University, Pittsburgh, PA=20 Keynotes and invited talks:=20 =09=95=09Tom Mitchell, Carnegie Mellon University (Keynote) =09=95=09Glen de Vries, Medidata Solutions (Keynote) =09=95=09Sean Davis, National Cancer Institute =09=95=09Casey Greene, University of Pennsylvania=20 =09=95=09Alex London, Carnegie Mellon University =09=95=09Bob Murphy, Carnegie Mellon University =09=95=09Fiona Nielson, Repositve.io =09=95=09Natasha Noy, Google AI - Dataset Search=20 =09=95=09Lisa Parker, University of Pittsburgh Dates: =09=95=09Early bird registration deadline: March 22, 2019 =09=95=09Conference: May 13-15, 2019 Supported by the NSF scientific data reuse initiative and=20 in-cooperation with ACM, AIDR 2019 aims to find innovative solutions to=20 accelerate the dissemination and reuse of scientific data in the data=20 revolution. The explosion in the volume of scientific data has made it=20 increasingly challenging to find data scattered across various=20 platforms. At the same time, increasing numbers of new data formats,=20 greater data complexity, lack of consistent data standards across=20 disciplines, metadata or links between data and publications makes it=20 even more challenging to evaluate data quality, reproduce results, and=20 reuse data for new discoveries. We invite AI researchers, scientific data community, and data=20 management community from both academia and industry to join us at AIDR=20 2019 to share solutions and ideas that address these challenges using=20 the power of AI. At this meeting, you will have plenty of=20 opportunities to showcase your work, have thought-provoking=20 conversations, and form collaborations with peer participants. To=20 register and to learn about the program, visit the conference website:=20 https://events.library.cmu.edu/aidr2019/ We sincerely hope you will be able to join us at AIDR 2019, and have a=20 chance to interact with the world-class AI and data community at CMU=20 and from all over the country. Please do not hesitate to contact us at=20 aidr2019@andrew.cmu.edu for questions.