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CoDA 2018 - Conference on Data Analysis 2018
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Each day begins with informal discussion sessions with breakfast, 8-8:45 a.m.

The invited program includes 6 themed sessions, one each morning (9-noon) and each afternoon (2-5 p.m.). These invited sessions each have a plenary speaker and 3 invited speakers as outlined below.

We're also pleased to have Dr. Lucy Nowell lead a discussion session during lunch on Friday, March 9, called "Proposal Writing and Evaluation: Perspectives from a Seasoned Program Manager".

CoDA2018InvitedTalkAbstracts

Day 1: Wednesday, March 7, 2018

8-8:45 a.m. — Breakfast


8:45-9 a.m. — Welcome

9-noon — Invited Session | Disaster Data: Using Data Science to Predict / Characterize / Attribute Disasters
 
9-10 a.m. — Plenary Speaker
  • Jonathan Ozik, Argonne National Laboratory
    Computational Reanimation through High-performance Simulation

10-10:30 a.m. — Break

 
10:30-noon — Invited Speakers
  • Andrea Staid, Sandia National Laboratories
    The Many Roles of Data Analysis in Planning for Hurricane Impacts
  • Curtis Smith, Idaho National Laboratory
    Computational Risk Assessment (CRA) for External Hazards Representation
  • Kim Kaufeld, Los Alamos National Laboratory
    Beetle Invasion! Assessing and Predicting Mountain Pine Beetle Outbreaks in the Rocky Mountains

Noon-2 p.m. —  Lunch (on your own)


2-5 p.m. — Invited Session | Analyzing Images

2-3 p.m. — Plenary Speaker

  • Marylesa Howard, Nevada National Security Site
    A Polytheistic Approach to Image Analysis in Nuclear Security

3-3:30 p.m. — Break

 
3:30-5 p.m. — Invited Speakers
  • Amanda Ziemann, Los Alamos National Laboratory
    Where We’re Going, We Don’t Need Roads: The Many Applications of Spectral Remote Sensing Imagery
  • Doga Gürsoy, Argonne National Laboratory
    High Resolution 3D X-ray Imaging
  • Dani Ushizima, Lawrence Berkeley National Laboratory
    Scientific Image Analysis with Convolutional Neural Networks

5-5:30 p.m. — Break, poster setup


5:30-7:30 p.m. — Opening Mixer | Student and Postdoc Poster Session

Day 2: Thursday, March 8, 2018

8-8:45 a.m. — Breakfast


8:45-9 a.m. — Announcement of Student Poster Prize winners

9-noon — Invited Session | Detecting Anomalies
 
9-10 a.m. — Plenary Speaker
  • James Theiler, Los Alamos National Laboratory
    Finding the Undefined: Anomalous Signals in Cluttered Backgrounds

10-10:30 a.m. — Break

 
10:30-noon — Invited Speakers
  • Giuliana Pallotta, Lawrence Livermore National Laboratory
    Maritime Anomaly Detection (MAD) Data and Methods: A Review
  • Danny Rintoul, Sandia National Laboratories
    Shapes: The Next Frontier of Data Mining
  • Melissa Turcotte, Los Alamos National Laboratory
    Modelling User Behaviour Using Host Event Logs: Peer-Based Anomaly Detection

Noon-2 p.m. —  Lunch (on your own)


2-5 p.m. — Invited Session | Data Wrangling: Systems and Strategies for Preparing, Sharing, and Caring for Your Data

2-3 p.m. — Plenary Speaker

  • Jessie Gaylord, Lawrence Livermore National Laboratory
    From Data Munging to Data Management: Practical Tips You’ll Want to Use

3-3:30 p.m. — Break

 
3:30-5 p.m. — Invited Speakers
  • Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory
    The Science Behind What Users Want and Need for Productive and Efficient Data Life Cycles

  • Bruce Wilson, Oak Ridge National Laboratory
    Who Am I, Who Are You, and What Data Are We Talking About?
  • Kerstin Kleese van Dam, Brookhaven National Laboratory
    New Approaches for the Design and Optimization of Extreme Scale Scientific Workflows

5-5:30 p.m. — Break, poster setup


5:30-7:30 p.m. — Cogito Ergo Posters | Dinner Mixer Poster Session with sponsorship by Descartes Labs

Day 3: Friday, March 9, 2018

8-8:45 a.m. — Breakfast


8:45-9 a.m. — Announcements

9-noon — Invited Session | Data-driven Materials Science
 
9-10 a.m. — Plenary Speaker
  • Julia Ling, Citrine Informatics
    Machine Learning for Materials Science: Integrating Scientific Expertise and Data-driven Models

10-10:30 a.m. — Break

 
10:30-noon — Invited Speakers
  • Sergei Kalinin, Oak Ridge National Laboratory
    Big Data and Machine Learning in Atomically Resolved Imaging: A Bridge to Accelerating Materials by Design
  • Richard Sandberg, Los Alamos National Laboratory
    Tools for Real-time Adaptive Acceleration of Dynamic Compression Science at Light Sources
  • Peter Graf, National Renewable Energy Laboratory
    Three Examples of the Difficulty of Optimization and Analysis in Materials Spaces

Noon-2 p.m. —  Lunch (on your own)

12:30-1:30 p.m. —  Optional Discussion Session | Proposal Writing and Evaluation: Perspectives from a Seasoned Program Manager

Bring your own lunch to this discussion with Dr. Lucy Nowell:

Across the federal government, more and more people are writing research proposals and success rates are shrinking. What should you know before you write a proposal to maximize your chances of success? How can you structure your proposal to increase the probability that reviewers will respond favorably? What is the role of a Program Manager (PM) in this process and how should you relate to your own PM when you win an award?  If you want to know more about how agency program managers view proposals and their evaluation, this is the talk for you. Dr. Lucy Nowell has served as a program manager/director for three Federal agencies. She will share her insights about how to decide whether to submit to a call, common mistakes in proposal writing, and how to position a proposal to get the best reviews. There will be plenty of time for questions, too.



2-5 p.m. — Invited Session | Network and Graph Problems

2-3 p.m. — Plenary Speaker

  • John Fisher, MIT
    Exploiting Graph Structure for Information Planning and Structure Discovery

3-3:30 p.m. — Break

 
3:30-5 p.m. — Invited Speakers
  • Gowri Srinivasan, Los Alamos National Laboratory
    Discovering Graph-based Representations of Fracture Networks through Machine Learning
  • Sutanay Choudhury, Pacific Northwest National Laboratory
    Explanatory Queries with Deep Learning and Knowledge Graphs
  • Cindy Phillips, Sandia National Laboratories
    Making Social-Network Data Sets More Human: A Topological Approach


5-5:15 p.m. — Closing remarks

  • When

    March 7, 2018 - March 9, 2018
    8:00 AM - 5:30 PM
    Mountain Time

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  • Where

    Eldorado Hotel
    309 W. San Francisco St.
    Santa Fe, New Mexico 87501
    USA
    (800) 955-4455

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  • Websites

    Center for Nonlinear Studies, CoDA 2012, CoDA 2014, CoDA 2016, Eldorado Hotel, Los Alamos National Laboratory, Los Alamos National Laboratory Statistical Sciences Group, Los Alamos Visitor info, Santa Fe Visitor Info

  • Administrative Coordinator

    Jennie Harvey

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Registration fees: Regular participants $245, full-time students $155. 

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CoDA 2018 is being brought to you by the Center for Nonlinear Studies , the Information Science and Technology Institute, and the Computer, Computational, and Statistical Sciences Divsion at Los Alamos National Laboratory.


This event has been declared "Open to the Public with Registration".

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