Schedule

Monday, March 25

9:00am–10:30am: Session

• Introductory remarks
• Gustavo Stolovitzky (IBM Research), invited talk
• Brian Granger (Amazon Web Services), invited talk

10:30am–11:00am: Break

11:00am–12:30pm: Session
Theme: cloud platforms

• Simon Adar (Code Ocean)
  Invited talk: Notorious transparency in computational open science
• Rachael Tatman (Kaggle)
  Invited talk: Setting up your public data for success
• Joaquin Vanschoren (Eindhoven University of Technology)
  Invited talk: OpenML: A collaborative open science platform for machine learning

12:30pm–2:00pm: Lunch

2:00pm–3:30pm: Session
Theme: crowdsourcing and innovation

• Dhaval Adjodah (MIT)
  Invited talk: Building technology for more effective collective learning
• Michael Bernstein (Stanford University)
  Invited talk: Crowds, computation, and the future of Work
• Joel Chan (University of Maryland)
  Invited talk: Building sustainable knowledge infrastructures for collaborative open science

3:30pm–4:00pm: Break

4:00pm–5:30pm: Session

• Giovanni Luca Ciampaglia, John Licato and Paul Rosen (University of South Florida)
  Work-in-progress paper: Visualizing the evolution of online conversation using Discussion Mapper
• Peter W. J. Staar, Michele Dolfi, Christoph Auer, Leonidas Georgopoulos, Dimitrios Christofidellis, Aleksandros Sobczyk and Costas Bekas (IBM Research)
  Work-in-progress paper: A knowledge graph platform for accelerated discoveries on scientific corpora
• Simon Adar, Brian Granger, Robert McBurney, Hollie Schmidt, and Gustavo Stolovitzky
  Panel discussion: Accelerating biomedical research with AI and computational tools

6:00pm–7:00pm: Reception

Tuesday, March 26

9:00am–10:30am: Session
Theme: AI in biomedicine

• Rima Arnaout (University of California, San Francisco), invited talk
• Mark Musen (Stanford University)
  Invited talk: Making scientific data findable, accessible, interoperable, and reusable: How semantic technology can help
• Robert McBurney & Hollie Schmidt (Accelerated Cure Project for Multiple Sclerosis), invited talk

10:30am–11:00am: Break

11:00am–12:30pm: Session

• Stephen Bach (Brown University)
  Invited talk: Accelerating information extraction with weakly supervised machine learning
• Percy Liang (Stanford University)
  Invited talk: CodaLab: A platform for efficient collaborative research
• Benjamin Grosof (Kyndi)
  Invited talk: Meta-level knowledge representation and reasoning, for collaborative open science

12:30 pm–2:00 pm: Lunch

2:00 pm–3:30 pm: Session

• Matei Zaharia (Stanford University)
  Invited talk: Accelerating end-to-end ML development with MLflow
• Andrew McCallum (University of Massachusetts Amherst), invited talk
• Evan Patterson (Stanford University)
  Organizer talk: Semantic modeling of data analysis

3:30pm–4:00pm: Break

4:00pm–5:30pm: Session
Theme: applications of AI in science

• Xiou Ge, Richard Goodwin, Jeremy Gregory, Randolph Kirchain, Joana Maria and Lav Varshney
  Research paper: Accelerated discovery of sustainable building materials
• Alexandre Tessarollo and Alexandre Rademaker
  Work-in-progress paper: Information extraction on financial reports of oil and gas industry: First steps

6:00pm–7:30pm: Plenary Session

Wednesday, March 27

No sessions scheduled.