{"id":9,"date":"2018-10-08T18:12:31","date_gmt":"2018-10-08T18:12:31","guid":{"rendered":"http:\/\/events.library.cmu.edu\/aidr2019\/?page_id=9"},"modified":"2019-10-07T22:15:12","modified_gmt":"2019-10-08T02:15:12","slug":"program","status":"publish","type":"page","link":"https:\/\/events.library.cmu.edu\/aidr2019\/program\/","title":{"rendered":"Program"},"content":{"rendered":"
\n
\n\t

Final Program [Download PDF<\/a>] [Download Abstracts<\/a>] [Download Speaker Bio<\/a>]<\/h3>\n

See slides and posters here: AIDR Collection @ F1000Research<\/a><\/h4>\n

Selected papers now published @ ACM Digital Library: AIDR '19 Proceedings - ACM ICPS<\/a><\/h4>\n<\/div>\n<\/div><\/div>
------------------\n

\n\tMonday, May 13\n<\/h4>\n\n\n\t\t\n\t\t\n\t\t\n\t\t\n\n\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t
Time<\/th>\n\t\t\tSession<\/th>\n\t\t\tSpeaker<\/th>\n\t\t\tTitle<\/th>\n\t\t<\/tr>\n\t\t
8:00 -- 9:00<\/td>\n\t\t\tBreakfast<\/td>\n\t\t<\/tr>\n\t\t
9:00 -- 9:15<\/th>\n\t\t\tWelcome and Opening Remarks<\/th>\n\t\t\t\n\t\t\t\tKeith Webster, Dean, CMU Libraries
\n\t\t\t\tMichael McQuade, Vice President for Research, CMU
\n\t\t\t\tBeth Plale, CISE\/OAC, NSF
\n\t\t\t<\/td>\n\t\t<\/tr>\n\t\t
9:15 -- 10:15<\/th>\n\t\t\tKeynote 1<\/th>\n\t\t\tTom Mitchell, Carnegie Mellon University<\/td>\n\t\t\tDiscovery from Brain Image Data <\/td>\n\t\t<\/tr>\n\t\t
10:15 -- 10:35<\/td>\n\t\t\tBreak<\/td>\n\t\t<\/tr>\n\t\t
10:35 -- 12:20<\/th>\n\t\t\tSession 1: Automation in data curation and metadata generation (Chair: Paola Buitrago)<\/th>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tLong Talk<\/td>\n\t\t\tCornelia Caragea, University of Illinois at Chicago<\/td>\n\t\t\tKeyphrase extraction from scholarly documents for data discovery and reuse<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tLong Talk<\/td>\n\t\t\tNatasa Miskov-Zivanov, University of Pittsburgh<\/td>\n\t\t\tDynamic System Explanation, DySE, a framework that evolves to reason about complex systems.<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tShort Talk<\/td>\n\t\t\tMatias Carrasco Kind, National Center for Supercomputing Applications (NCSA)<\/td>\n\t\t\tSearching for similarities and anomalies in a pool of galaxy images using Deep Learning<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tShort Talk<\/td>\n\t\t\tRema Padman, Carnegie Mellon University<\/td>\n\t\t\tAsk the Doctor if YouTube is Right for You: An Augmented-Intelligence Video Recommender System for Patient Education<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tShort Talk<\/td>\n\t\t\tClaudia Engel, Stanford University<\/td>\n\t\t\tImage Recognition for Archaeological Research<\/td>\n\t\t<\/tr>\n\t\t
12:20 --13:20<\/td>\n\t\t\tLunch <\/td>\n\t\t<\/tr>\n\t\t
13:20 -- 15:05<\/th>\n\t\t\tSession 2: Automation in data discovery (Chair: Huajin Wang)<\/th>\n\t\t<\/tr>\n\t\t
13:20 -- 13:50<\/td>\n\t\t\tInvited Talk<\/td>\n\t\t\tNatasha Noy, Google AI<\/td>\n\t\t\tGoogle Dataset Search: An open ecosystem for data discovery<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tShort Talk<\/td>\n\t\t\tFernando Chirigati, NYU<\/td>\n\t\t\tA Dataset Search Engine for Data Augmentation<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tShort Talk<\/td>\n\t\t\tAlexander New, Rensselaer Polytechnic Institute<\/td>\n\t\t\tA Semantalytic Approach to Accelerated Data Reuse for Reproducible Scientific Discovery<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tShort Talk<\/td>\n\t\t\tShenghui Wang, OCLC Research, Netherlands<\/td>\n\t\t\tAn innovative approach to scalable semantic search<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tShort Talk<\/td>\n\t\t\tCornelia Caragea, University of Illinois at Chicago<\/td>\n\t\t\tBuilding Specialized Collections from Web Archiving<\/td>\n\t\t<\/tr>\n\t\t
<\/td>\n\t\t\tShort Talk<\/td>\n\t\t\tJian Wu, Old Dominion University<\/td>\n\t\t\tReuse and Discovery for Scholarly Big Data<\/td>\n\t\t<\/tr>\n\t\t
15:05 -- 15:25<\/td>\n\t\t\tBreak<\/td>\n\t\t<\/tr>\n\t\t
15:25 -- 16:10<\/th>\n\t\t\tPanel 1<\/th>\n\t\t\tKeith Webster, Carnegie Mellon University (Moderator)
\n\t\t\t\t\tCliff Lynch, Coalition for Networked Information
\n\t\t\t\t\tNatasha Noy, Google AI
\n\t\t\t\t\tCasey Greene, University of Pennsylvania
\n\t\t\t\t\tAlex London, Carnegie Mellon University
\n\t\t\t\t\tNick Nystrom, Pittsburgh Supercomputing Center<\/td>\n\t\t\t		Challenges and opportunities in data reuse using the power of AI<\/td>\n\t\t<\/tr>\n\t\t
16:10 -- 17:30<\/th>\n\t\t\tPoster + Networking<\/th>\n\t\t<\/tr>\n\t\t
17:30 -- 19:30<\/th>\n\t\t\tReception<\/th>\n\t\t<\/tr>\n\t\n<\/table>\n\n----------------------\n

\n\tTuesday, May 14\n<\/h4>\n\n\n\t\t\n\t\t\n\t\t\n\t\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t
Time<\/th>\n\t\tSession<\/th>\n\t\tSpeaker<\/th>\n\t\tTitle<\/th>\n\t<\/tr>\n\t
8:00 -- 9:00<\/td>\n\t\tBreakfast<\/td>\n\t<\/tr>\n\t
9:00 -- 10:00<\/th>\n\t\tKeynote 2<\/th>\n\t\tGlen de Vries, Medidata Solutions<\/td>\n\t\tClinical trials in the age of AI and Precision Medicine<\/td>\n\t<\/tr>\n\t
10:00 --10:20<\/td>\n\t\tBreak<\/td>\n\t<\/tr>\n\t
10:20 -- 12:05<\/th>\n\t\tSession 3: Integrating datasets and enabling interoperability (Chair: Nick Nystrom) <\/th>\n\t<\/tr>\n\t
<\/td>\n\t\tShort Talk<\/td>\n\t\tEvgeny Toropov, Carnegie Mellon University<\/td>\n\t\tData reuse through domain adaptation AI algorithms for the self driving industry<\/td>\n\t<\/tr>\n\t
<\/td>\n\t\tLong Talk<\/td>\n\t\tJiacheng Zhu, Carnegie Mellon University<\/td>\n\t\tA self-organized Scenario-based Heterogeneous Traffic Database for Autonomous Vehicles<\/td>\n\t<\/tr>\n\t
<\/td>\n\t\tShort Talk<\/strike><\/td>\n\t\tCatherine Ordun, Booz Allen Hamilton<\/strike><\/td>\n\t\tModel Tracking using the Keras API - Simple Metadata Management<\/strike><\/td>\n\t<\/tr>\n\t
<\/td>\n\t\tShort Talk<\/td>\n\t\tDaniel Clothiaux, Carnegie Mellon University<\/td>\n\t\tVisual and Statistical Analysis and Comparison of Handwritten and Font Datasets<\/td>\n\t<\/tr>\n\t
<\/td>\n\t\tShort Talk<\/td>\n\t\tXu Fei, Code Ocean<\/td>\n\t\tLowering the barriers to experiment, data, and method reproducibility in AI research with a cloud-based computational reproducibility platform<\/td>\n\t<\/tr>\n\t
<\/td>\n\t\tShort Talk<\/td>\n\t\tR\u00e9mi M\u00e9gret, University of Puerto Rico, Rio Piedras campus<\/td>\n\t\tLabelBee: a web platform for large-scale semi-automated analysis of honeybee behavior from video<\/td>\n\t<\/tr>\n\t
12:05 -- 13:00<\/td>\n\t\tLunch <\/td>\n\t<\/tr>\n\t
13:00 -- 17:00<\/th>\n\t\tSession 4: Biomedical applications (Chairs: Sean Davis and Andreas Pfenning)<\/th>\n\t<\/tr>\n\t
13:00 -- 13:30<\/td>\n\t\tInvited Talk<\/td>\n\t\tCasey Greene, University of Pennsylvania<\/td>\n\t\tData reuse enables ML-based analysis of rare diseases<\/td>\n\t<\/tr>\n\t
13:30 -- 13:45<\/td>\n\t\tShort Talk<\/td>\n\t\tBen Busby, NCBI<\/td>\n\t\tPrototype ML Software for Several Distinct Classes of Biomedical Data Science Problems Developed in NIH-Hackathons!<\/td>\n\t<\/tr>\n\t
13:45 -- 14:15<\/td>\n\t\tInvited Talk<\/td>\n\t\tLisa S. Parker, University of Pittsburgh<\/td>\n\t\tData Privacy: Control, Use, and Governance<\/td>\n\t<\/tr>\n\t
14:15 --14:30<\/td>\n\t\tBreak<\/td>\n\t<\/tr>\n\t
14:30 -- 15:00<\/td>\n\t\tInvited Talk<\/td>\n\t\tSean Davis, National Cancer Institute, NIH<\/td>\n\t\tData engineering: tools and approaches to facilitate data reuse and data science<\/td>\n\t<\/tr>\n\t
15:00 -- 15:15<\/td>\n\t\tInvited Short Talk<\/td>\n\t\tIrene Kaplow, Carnegie Mellon University<\/td>\n\t\tPredicting Tissue-Specific cis-Regulatory Elements Across Mammals to Identify Potential Evolutionary Mechanisms<\/td>\n\t<\/tr>\n\t
15:15 -- 15:45<\/td>\n\t\tInvited Talk<\/td>\n\t\tFiona Nielsen, Repositive<\/td>\n\t\tStandards, incentives, tools \u2013 Which are the necessities for data discovery in academia vs industry?<\/td>\n\t<\/tr>\n\t
15:45 -- 16:00<\/td>\n\t\tBreak<\/td>\n\t<\/tr>\n\n\t
16:00 -- 16:30<\/td>\n\t\tInvited Talk<\/td>\n\t\tAlex London, Carnegie Mellon University<\/td>\n\t\tUnderstanding the Role of Explainaiblity and Verification in Medical AI <\/td>\n\t<\/tr>\n\t
16:30 -- 16:45<\/td>\n\t\tInvited Short Talk<\/td>\n\t\tNick Nystrom, PSC and Carnegie Mellon University<\/td>\n\t\tEnabling Data Discoverability in the Human BioMolecular Atlas Program (HuBMAP)<\/td>\n\t<\/tr>\n\t
16:45 -- 17:15<\/td>\n\t\tInvited Talk<\/td>\n\t\tBob Murphy, Carnegie Mellon University<\/td>\n\t\tAI for Biological Discovery: Data Integration and Self-Driving Instruments<\/td>\n\t<\/tr>\n\t\n\t
17:15<\/td>\n\t\tDinner on your own<\/td>\n\t<\/tr>\n\t\n<\/table>\n\n-----------------------\n

\n\tWednesday, May 15\n<\/h4>\n\n\n\t\t\n\t\t\n\t\t\n\t\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t
Time<\/th>\n\t\tSession<\/th>\n\t\tSpeaker<\/th>\n\t\tTitle<\/th>\n\t<\/tr>\n\t
8:00 -- 8:45<\/td>\n\t\tBreakfast<\/td>\n\t<\/tr>\n\t
8:45 -- 9:30<\/th>\n\t\tOutcome and future planning meeting - all invited to participate (Moderator: Huajin Wang) <\/th>\n\t<\/tr>\n\t
9:30 -- 10:15<\/th>\n\t\tPanel 2<\/th>\n\t\tKaren Lightman, Metro21: Smart Cities Institute (Moderator)
\n\t\t\t\tRobet Tamburo, Carnegie Mellon University
\n\t\t\t\tBob Gradeck, Western Pennsylvania Regional Data Center
\n\t\t\t\tSanti Garces, City of Pittsburgh<\/td>\n\t\t		Enabling Smart and Safe Communities Through AI<\/td>\n\t<\/tr>\n\t
10:15 -- 10:35<\/td>\n\t\tBreak<\/td>\n\t<\/tr>\n\t
10:35 -- 11:55<\/th>\n\t\tSession 5: Data security, privacy and algorithmic bias <\/th>\n\t<\/tr>\n\t
<\/td>\n\t\tInvited Talk<\/td>\n\t\tMatt Fredrikson, Carnegie Mellon University <\/td>\n\t\tFinding Bias, Discrimination, and Private Data Leakage in Machine Learning Systems<\/td>\n\t<\/tr>\n\t
<\/td>\n\t\tLong Talk<\/td>\n\t\tLena Pons, Carnegie Mellon University<\/td>\n\t\tSharable Cyber Threat Intelligence Using Weak Anonymization<\/td>\n\t<\/tr>\n\t
<\/td>\n\t\tShort Talk<\/td>\n\t\tAndrew Yale, Rensselaer Polytechnic Institute<\/td>\n\t\tPrivacy Preserving Synthetic Health Data<\/td>\n\t<\/tr>\n\t
<\/td>\n\t\tShort Talk<\/td>\n\t\tMichael Ellis, University of North Carolina at Greensboro<\/td>\n\t\tProtecting fMRI data from unforeseen privacy attacks in a distributed machine learning environment<\/td>\n\t<\/tr>\n\t
11:55 -- 12:10<\/th>\n\t\tClosing remarks<\/th>\n\t\tKeith Webster, Carnegie Mellon University <\/td>\n\t<\/tr>\n\t
12:10<\/th>\n\t\tAjourn. Boxed lunch to go <\/th>\n\t<\/tr>\n\t\n<\/table>\n\n-----------------------\n

\n\tPost-conference event\n<\/h4>\n\n

\n\tSoftware Engineering Institute (SEI) Research Services High Tea 2019\n<\/h5>\n

\n\tTime: 14:00
\n\tLocation: Jordan Auditorium\n<\/p>\n\t\n\n\t\n\t\n\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t
Speaker<\/th>\n\t\tTitle<\/th>\n\t<\/tr>\n\t
Tom Longstaff, SEI Chief Technical Officer (Mater of Ceremonies)<\/td>\n\t\t<\/td>\n\t<\/tr>\n\t\t
Keith Webster, Dean of Carnegie Mellon University Libraries <\/td>\n\t\tThe Library\u2019s Role in the Fourth Industrial Revolution<\/td>\n\t<\/tr>\n\t\t
Sarah Sheard, Principal engineer, Software Engineering Institute, Carnegie Mellon University\n<\/td>\n\t\tSystems at the SEI<\/td>\n\t<\/tr>\n\t
Matt Burton, Lecturer, School of Computing and Information, University of Pittsburgh<\/td>\n\t\tAI and the Future of Library Science<\/td>\n\t<\/tr>\n\t
Tom Corbett, Special Faculty, Entertainment Technology Center, Carnegie Mellon University<\/td>\n\t\tForms Follow Functions: How AI and Spatial Computing Will Impact the Future of Video Games and Historic Preservation<\/td>\n\t<\/tr>\n\t\n<\/table>\n\n
\n\tEnglish high tea reception \n<\/h5>\n

\n\tTime: 15:00
\n\tLocation: SEIber Caf\u00e9\n<\/p><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

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