Plans and Goals/Fall 2014

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Current Plans and Goals (Fall '14)

Connor

Weekly work breakdown: 2 days MAGI/2 days HMS/1 day graphical perception

  • MAGI Collaboration
    • Submit to Nature Methods as co-author
    • Release GD3 genomics visualization library
    • Sep 23: have list of potential research directions
    • Sep 30: distribute MAGI to observation group
  • Harvard Med Collaboration
    • Sep 19: Meet at HMS; outcome: list of specific potential projects
    • Oct 1: Decide on project and send out project outline
    • End of semester: demo functioning prototype
    • Outcomes for us:
      • Technique paper on intelligent visual summarization (e.g., accordion mutation matrix attached) using measures like Hamming distance and then more complicated measures to intelligently bin data
      • Short paper on GD3, a generalized genomics visualization toolkit
      • Written log of scenarios and case studies supporting usefulness of an n-color palette generator
    • Less polished outcomes for us:
      • Technique for n-wise visualization comparison. Could use interactive filtering or a rendering option to show commonly wanted signatures in data
      • Technique for creating visualization thumbnails using 1000s of SV visualizations as one usage example
    • Outcomes for the compbio/bio folks:
      • Deployment of a flexible, reusable visualization library supporting common data formats that eliminates the need to write visualization code for many types of data (GD3)
      • Completion of an interactive tool for analyzing/exploring SV data, aimed at reducing the time spent generating and manually searching through all pairwise combination of SV algorithm output.
        • HMS post-doc said this accounted for 2/3 of his work over the past three months because there's no fast/automated way to do it right now, and it's inherently a visual-based task
  • Graphical Perception
    • Have Karen/MTurk experiment results by Sep 12
    • Incorporate color saliency mapping into color palette model
    • End of semester: Have LCH-based model running with short paper length description of the model
  • Other
    • Give a great talk at VIS
    • Redo website before VIS
    • Dissertation planning: by end of semester have a written plan on how to tie together graphical perception and genomics viz research

Hua

  • Thesis proposal
    • Finalize committee members
    • Send proposal to committee members
    • Give a practice talk
  • Edge uncertainty paper
    • Submit to TVCG
  • Aardvark system evaluation
    • Run 12 participants by Sep.26
    • Finish the analysis of the first 12 participants by Sep.30
    • Wrap up and finish the final report by Oct.15
    • Further analyze the data using various techniques, e.g. sub-graph extractions and sequence visualizations to identify analysis strategies and relate features to insight generation
  • Crowd gaze paper
    • Help with the TVCG submission
  • BraiNet

Steve

  • Finish crowd-eyetracking project
    • Follow-up MTurk experiment run by 9/12, data analyzed by 9/24 with Radu ✓
    • Circulate updated TVCG draft with results by 9/30 and submit early October
  • Integrating automatic evaluations with github
    • Clean up MTurk scripts to link into git hook by mid end of October [in progress]
    • Run case study on alternative vis designs from our VAST 2014 paper by end of November
    • Draft VIS paper by mid December
    • Submit end of March
  • Assist Hua with Aptima study and report
    • Report due to Aptima by mid October
    • Outline of paper on individual differences in visualization by end of October
  • Have a good VAST task in Paris (11/9-11/16)
    • Iterate on presentation several times, practice at scivis on 10/28
    • Practice talk at Tufts on 10/29
    • Network with colleagues at conference ✓
  • Have a job next fall!
    • List of postdoc opportunities compiled before Paris trip, by 11/5 [in progress]
    • Teaching statement from notes by end of September
    • Research statement by end of November (when git study wraps up)
  • Dissertation
    • Tex with outline in private GitHub repo by 10/1
    • Follow chapter schedule in my Brown GS 6th-year proposal (DCP)
      • By 12/8, draft Chapter 3: Modeling Task Performance with Non-Experts (from CHI '12 paper) ✓
      • By 12/15, draft Chapter 4: Modeling Gaze Behaviors with Non-Experts (from TVCG paper in submission) ✓
      • By 12/22, draft Chapter 5: Measuring Insights and Task Performance for Visual Analytics (from VAST '14 paper)
      • By 1/12, draft Chapter 6: Crowdsourced Evaluation Framework (from new experiment)
      • By 1/19, draft Chapter 7: Conclusions
      • By 1/26, draft Chapter 1: Introduction
      • By 2/9, draft Chapter 2: Background
      • By 3/2, draft 2 of full document done and circulated to committee
      • By mid March, set defense date and time, run through the thesis checklist
      • By mid April, defense!
      • 5/1: Hard deadline for dissertation submission, "apply to graduate" on Banner
  • Misc
    • Be a helpful TA for CS237 ✓

Ryan

  • Complete thesis proposal
    • Form committee
    • Give proposal talk
  • Work on papers
    • Submit bipolar paper with Dan
    • Contribute to Fauxvea work
  • Continue work on neuroimaging collabs
    • Send quality checks for second timepoint STL data
    • Run image analysis for STL and SA studies
    • Maintain relationship with folks at RIH
    • Contribute to pubs from Rob Paul's group
  • Thesis work
    • Run experiments comparing methods
    • Write TMI paper on multi-fiber processing

David

  • good cs237
    • some new-cave projects rolling
  • cave running and with demos and working in cs237
    • hw and low-level software testing/reliability plan
    • application software development easier
  • longer-term funding progress
    • some specific targets for proposals: cave, cognition, expedition, brains
  • Bowman experiment run by Wesley

Wesley

Johannes

  • complete CSCI2370 Interdisciplinary Scientific Visualization
    • get some experience working with the CAVE (and if possible YURT)
  • complete CSCI2951-B Data-Driven Vision and Graphics
  • complete Programming Comps
  • collect ideas for the Research Comps (or use master thesis if possible)