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 1. Proctored a BCS 152 exam
 1. Reading for quals
 1. Met with students to go over BCS 152 exams
 1. Consolidated code base and wrote some really nice, really helpful functions for my personal R library, `zplyr`.
 1. Spent way to long trying to understand what sort of model to use for a personal project.
 1. Continued Bayesian inference course

Lab Meeting, Autumn 2016, Week 14

Awe- and Aw-inspiring readings (or just stuff you think deserves a mention)

What we did over last week

Florian

Xin

  1. Finalized the MTurk experiment for BCS206 group!
  2. Near-finalized my priming experiment (still need sandbox data).
  3. Attended Psychonomics.
  4. Broke personal driving record (a nightmare in snow from Boston to Rochester).

Andrew

Jenn

Dan

Amanda

  1. Reviewed a paper for Cognition.

  2. Set up some audio and visual stimuli to send to the SR guy in advance of his visit to UR, for our eventual kid eye-tracking needs.

  3. Caught up on some much needed data reports on my kid data, started working on the paper.

  4. Encouraged Wes to finish setting up his study / running kids in the new version of his task in time for the CUNY deadline.

  5. Designed and ran new versions of my contextual manipulation studies to try to get participants to explain away speaker variability to various aspects of the context rather than to the speaker herself. To be submitted to CUNY.

  6. Started drafting or editing CUNY abstracts for the above mentioned tasks.

  7. Tried to elicit uncertainty markings by asking people to read some carrier sentences either in the presence or without the presence of ambiguous information. Thought about prosody. Thought about js.
  8. Read a paper on Children's selective trust in native-accented speakers, to think about how children might weigh confidence and expertise.

Zach

  1. Proctored a BCS 152 exam
  2. Reading for quals
  3. Met with students to go over BCS 152 exams
  4. Consolidated code base and wrote some really nice, really helpful functions for my personal R library, zplyr.

  5. Spent way to long trying to understand what sort of model to use for a personal project.
  6. Continued Bayesian inference course

Linda

Wednesday

Shaorong

LabmeetingAU16w14 (last edited 2016-12-01 16:08:23 by slate)

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