Final Program [Download PDF] [Download Abstracts] [Download Speaker Bio]

See slides and posters here: AIDR Collection @ F1000Research

Selected papers now published @ ACM Digital Library: AIDR '19 Proceedings - ACM ICPS


Monday, May 13

Time Session Speaker Title
8:00 -- 9:00 Breakfast
9:00 -- 9:15 Welcome and Opening Remarks Keith Webster, Dean, CMU Libraries
Michael McQuade, Vice President for Research, CMU
Beth Plale, CISE/OAC, NSF
9:15 -- 10:15 Keynote 1 Tom Mitchell, Carnegie Mellon University Discovery from Brain Image Data
10:15 -- 10:35 Break
10:35 -- 12:20 Session 1: Automation in data curation and metadata generation (Chair: Paola Buitrago)
Long Talk Cornelia Caragea, University of Illinois at Chicago Keyphrase extraction from scholarly documents for data discovery and reuse
Long Talk Natasa Miskov-Zivanov, University of Pittsburgh Dynamic System Explanation, DySE, a framework that evolves to reason about complex systems.
Short Talk Matias Carrasco Kind, National Center for Supercomputing Applications (NCSA) Searching for similarities and anomalies in a pool of galaxy images using Deep Learning
Short Talk Rema Padman, Carnegie Mellon University Ask the Doctor if YouTube is Right for You: An Augmented-Intelligence Video Recommender System for Patient Education
Short Talk Claudia Engel, Stanford University Image Recognition for Archaeological Research
12:20 --13:20 Lunch
13:20 -- 15:05 Session 2: Automation in data discovery (Chair: Huajin Wang)
13:20 -- 13:50 Invited Talk Natasha Noy, Google AI Google Dataset Search: An open ecosystem for data discovery
Short Talk Fernando Chirigati, NYU A Dataset Search Engine for Data Augmentation
Short Talk Alexander New, Rensselaer Polytechnic Institute A Semantalytic Approach to Accelerated Data Reuse for Reproducible Scientific Discovery
Short Talk Shenghui Wang, OCLC Research, Netherlands An innovative approach to scalable semantic search
Short Talk Cornelia Caragea, University of Illinois at Chicago Building Specialized Collections from Web Archiving
Short Talk Jian Wu, Old Dominion University Reuse and Discovery for Scholarly Big Data
15:05 -- 15:25 Break
15:25 -- 16:10 Panel 1 Keith Webster, Carnegie Mellon University (Moderator)
Cliff Lynch, Coalition for Networked Information
Natasha Noy, Google AI
Casey Greene, University of Pennsylvania
Alex London, Carnegie Mellon University
Nick Nystrom, Pittsburgh Supercomputing Center
Challenges and opportunities in data reuse using the power of AI
16:10 -- 17:30 Poster + Networking
17:30 -- 19:30 Reception

Tuesday, May 14

Time Session Speaker Title
8:00 -- 9:00 Breakfast
9:00 -- 10:00 Keynote 2 Glen de Vries, Medidata Solutions Clinical trials in the age of AI and Precision Medicine
10:00 --10:20 Break
10:20 -- 12:05 Session 3: Integrating datasets and enabling interoperability (Chair: Nick Nystrom)
Short Talk Evgeny Toropov, Carnegie Mellon University Data reuse through domain adaptation AI algorithms for the self driving industry
Long Talk Jiacheng Zhu, Carnegie Mellon University A self-organized Scenario-based Heterogeneous Traffic Database for Autonomous Vehicles
Short Talk Catherine Ordun, Booz Allen Hamilton Model Tracking using the Keras API - Simple Metadata Management
Short Talk Daniel Clothiaux, Carnegie Mellon University Visual and Statistical Analysis and Comparison of Handwritten and Font Datasets
Short Talk Xu Fei, Code Ocean Lowering the barriers to experiment, data, and method reproducibility in AI research with a cloud-based computational reproducibility platform
Short Talk Rémi Mégret, University of Puerto Rico, Rio Piedras campus LabelBee: a web platform for large-scale semi-automated analysis of honeybee behavior from video
12:05 -- 13:00 Lunch
13:00 -- 17:00 Session 4: Biomedical applications (Chairs: Sean Davis and Andreas Pfenning)
13:00 -- 13:30 Invited Talk Casey Greene, University of Pennsylvania Data reuse enables ML-based analysis of rare diseases
13:30 -- 13:45 Short Talk Ben Busby, NCBI Prototype ML Software for Several Distinct Classes of Biomedical Data Science Problems Developed in NIH-Hackathons!
13:45 -- 14:15 Invited Talk Lisa S. Parker, University of Pittsburgh Data Privacy: Control, Use, and Governance
14:15 --14:30 Break
14:30 -- 15:00 Invited Talk Sean Davis, National Cancer Institute, NIH Data engineering: tools and approaches to facilitate data reuse and data science
15:00 -- 15:15 Invited Short Talk Irene Kaplow, Carnegie Mellon University Predicting Tissue-Specific cis-Regulatory Elements Across Mammals to Identify Potential Evolutionary Mechanisms
15:15 -- 15:45 Invited Talk Fiona Nielsen, Repositive Standards, incentives, tools – Which are the necessities for data discovery in academia vs industry?
15:45 -- 16:00 Break
16:00 -- 16:30 Invited Talk Alex London, Carnegie Mellon University Understanding the Role of Explainaiblity and Verification in Medical AI
16:30 -- 16:45 Invited Short Talk Nick Nystrom, PSC and Carnegie Mellon University Enabling Data Discoverability in the Human BioMolecular Atlas Program (HuBMAP)
16:45 -- 17:15 Invited Talk Bob Murphy, Carnegie Mellon University AI for Biological Discovery: Data Integration and Self-Driving Instruments
17:15 Dinner on your own

Wednesday, May 15

Time Session Speaker Title
8:00 -- 8:45 Breakfast
8:45 -- 9:30 Outcome and future planning meeting - all invited to participate (Moderator: Huajin Wang)
9:30 -- 10:15 Panel 2 Karen Lightman, Metro21: Smart Cities Institute (Moderator)
Robet Tamburo, Carnegie Mellon University
Bob Gradeck, Western Pennsylvania Regional Data Center
Santi Garces, City of Pittsburgh
Enabling Smart and Safe Communities Through AI
10:15 -- 10:35 Break
10:35 -- 11:55 Session 5: Data security, privacy and algorithmic bias
Invited Talk Matt Fredrikson, Carnegie Mellon University Finding Bias, Discrimination, and Private Data Leakage in Machine Learning Systems
Long Talk Lena Pons, Carnegie Mellon University Sharable Cyber Threat Intelligence Using Weak Anonymization
Short Talk Andrew Yale, Rensselaer Polytechnic Institute Privacy Preserving Synthetic Health Data
Short Talk Michael Ellis, University of North Carolina at Greensboro Protecting fMRI data from unforeseen privacy attacks in a distributed machine learning environment
11:55 -- 12:10 Closing remarks Keith Webster, Carnegie Mellon University
12:10 Ajourn. Boxed lunch to go

Post-conference event

Software Engineering Institute (SEI) Research Services High Tea 2019

Time: 14:00
Location: Jordan Auditorium

Speaker Title
Tom Longstaff, SEI Chief Technical Officer (Mater of Ceremonies)
Keith Webster, Dean of Carnegie Mellon University Libraries The Library’s Role in the Fourth Industrial Revolution
Sarah Sheard, Principal engineer, Software Engineering Institute, Carnegie Mellon University Systems at the SEI
Matt Burton, Lecturer, School of Computing and Information, University of Pittsburgh AI and the Future of Library Science
Tom Corbett, Special Faculty, Entertainment Technology Center, Carnegie Mellon University Forms Follow Functions: How AI and Spatial Computing Will Impact the Future of Video Games and Historic Preservation
English high tea reception

Time: 15:00
Location: SEIber Café