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====== EPIC Retreat Fall 2022 ======


  * [[misc:upload|Upload Instructions]]

===== October 26, 2022 - Wednesday =====
==== Morning - Day 1 ====

  * 8:30am Breakfast
  * 9:00am Introduction & EPIC Lab Vision: 
    * Sarah Chasins {{ :retreats:2022fall:epic_data_lab_advance_fall_2022_vision.pdf |slides}}
    * Aditya Parameswaran {{ :retreats:2022fall:2022-epic-advance-research.pdf |slides}}
    * Joe Hellerstein {{ :retreats:2022fall:joe_hellerstein_epic_advance_2022.pdf |slides}}
  * 9:45am Remarks by Jennifer Chayes, Associate Provost of CDSS
  * 10:00am Talks
     * Justin Lubin: Exploring the Learnability of Program Synthesizers by Novice Programmers {{ :retreats:2022fall:exploring_the_learnability_of_program_synthesizers_by_novice_programmers_epic_advance_fall_2022_.pdf |slides}}
     * Rachel Warren: Data Munging for Justice {{ :retreats:2022fall:data_munging_for_justice.pdf |slices}}
  * 10:40am Break
  * 11:15am Talks
     * Samantha Robertson, Human-Centered Tools for Reliable Use of Machine Translation {{ :retreats:2022fall:epic_retreat_talk.pdf |slices}}
     * Shreya Shankar, Operationalizing Machine Learning: An Interview Study {{ :retreats:2022fall:interview_study_mlops_epic.pdf |slides}}
     * Dixin Tang, Lux: Always-on Visualization Recommendations {{ :retreats:2022fall:lux_epic_advance.pdf |slides}}
     * Hellina Hailu Nigatu, Document Organization Three Ways {{ :retreats:2022fall:epic_presentation.pdf |slides}}
  * 12:30am Lunch

==== Afternoon - Day 1 ====
  * 2:00pm Talks
     * Rebecca Brown, Challenges Facing Nonprofits in Justice Reform
     * Çağatay Demiralp, Research Problems at Sigma Computing
  * 3:00pm Break
  * 3:30pm Poster Session Preview
  * 4:15pm Poster Session/Reception
  * 6:30pm Off-Site Dinner at Freehouse (2700 Bancroft Way, Berkeley)


===== October 27, 2022 - Thursday =====
==== Morning - Day 2 ====
  * 8:30am Breakfast available in Room 511 Soda Hall
  * 9:00am Small Group Discussions - Berkeley researchers will be split into the following groups according to research focus, so visit the most relevant topics if you’re looking to chat with a particular student!  Visitors should feel free to move around between multiple rooms to start follow-up conversations.
     * Unstructured data processing - 567 (SLICE)
     * Computer-aided program drafting tools (program synthesis, ML-guided) - 569 (SLICE)
     * Exploratory data analysis - 465E (RISE)
     * Low-code machine learning - 465G (RISE)
     * Domain-specific needs - 576 (SLICE)
  * 12:00pm Boxed lunches available in Room 511 Soda

==== Afternoon - Day 1 ====
  * 1:30pm Wrap up session in 510 Soda
  * 2:00pm End
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