Upgrade to Pro — share decks privately, control downloads, hide ads and more …

The Office Hours Data Conundrum

Sponsored · Your Podcast. Everywhere. Effortlessly. Share. Educate. Inspire. Entertain. You do you. We'll handle the rest. →
Avatar for Christina Koch Christina Koch
February 15, 2018
Research
0
180

The Office Hours Data Conundrum

Avatar for Christina Koch

Christina Koch

February 15, 2018
Tweet

More Decks by Christina Koch

See All by Christina Koch
Data Carpentry SQL Introduction
Avatar for Christina Koch christinalk
0
1.3k
A Different Kind of Carpentry
Avatar for Christina Koch christinalk
0
200
Best Practices For All
Avatar for Christina Koch christinalk
0
150
Query Live Database
Avatar for Christina Koch christinalk
0
650
Workshop Development en breve
Avatar for Christina Koch christinalk
0
110
Software Portability
Avatar for Christina Koch christinalk
0
320
Software Licenses and Interpreted Languages
Avatar for Christina Koch christinalk
0
130
Research Computing Taxonomy
Avatar for Christina Koch christinalk
0
220
HTCondor User Tutorial
Avatar for Christina Koch christinalk
0
330

Other Decks in Research

See All in Research
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
Avatar for SatAI.challenge satai
3
620
LLMアプリケーションの透明性について
Avatar for Yusuke Fukasawa fufufukakaka
0
170
ドメイン知識がない領域での自然言語処理の始め方
Avatar for Hayahide Yamagishi hargon24
1
250
CoRL2025速報
Avatar for robotpaper.challenge rpc
4
4.3k
[チュートリアル] 電波マップ構築入門 ：研究動向と課題設定の勘所
Avatar for Koya SATO k_sato
0
290
Grounding Text Complexity Control in Defined Linguistic Difficulty [Keynote@*SEM2025]
Avatar for Yuki Arase yukiar
0
120
R&Dチームを起ち上げる
Avatar for shibuiwilliam shibuiwilliam
1
180
空間音響処理における物理法則に基づく機械学習
Avatar for NII S. Koyama's Lab skoyamalab
0
220
ブレグマン距離最小化に基づくリース表現量推定： バイアス除去学習の統一理論
Avatar for MasaKat0 masakat0
0
160
svc-hook: hooking system calls on ARM64 by binary rewriting
Avatar for Akira Moroo retrage
1
120
離散凸解析に基づく予測付き離散最適化手法 (IBIS '25)
Avatar for Taihei OKI taihei_oki
PRO
1
710
Thirty Years of Progress in Speech Synthesis: A Personal Perspective on the Past, Present, and Future
Avatar for Keiichi Tokuda ktokuda
0
180

Featured

See All Featured
What’s in a name? Adding method to the madness
Avatar for The Alliance productmarketing
PRO
24
3.9k
How to audit for AI Accessibility on your Front & Back End
Avatar for davetheseo davetheseo
0
200
Improving Core Web Vitals using Speculation Rules API
Avatar for Sergey Chernyshev sergeychernyshev
21
1.4k
The Pragmatic Product Professional
Avatar for Laura Van Doore lauravandoore
37
7.2k
The #1 spot is gone: here's how to win anyway
Avatar for Tamara Novitovic tamaranovitovic
2
960
The Psychology of Web Performance [Beyond Tellerrand 2023]
Avatar for Tammy Everts tammyeverts
49
3.3k
Utilizing Notion as your number one productivity tool
Avatar for Mfonobong Umondia mfonobong
3
230
GraphQLとの向き合い方2022年版
Avatar for Yosuke Kurami quramy
50
14k
What does AI have to do with Human Rights?
Avatar for Per Axbom axbom
PRO
0
2k
SEO for Brand Visibility & Recognition
Avatar for Aleyda Solis aleyda
0
4.3k
Agile Actions for Facilitating Distributed Teams - ADO2019
Avatar for Mark Kilby mkilby
0
120
Fireside Chat
Avatar for paigeccino paigeccino
41
3.8k

Transcript

  1. { The  Office  Hours   Conundrum Christina  Koch Data  Story

     Slam,  February  2018

  2. This  is  me   (Christina)

  3. My  colleague  Lauren  and  I  work  for  the   Center

     for  High  Throughput  Computing  (CHTC)   as  research  computing  facilitators

  4. { New  accounts,  ongoing  meetings,   and  weekly  office  hours.

    We  meet  with  a  lot   of  people.

  5. { Question How  many  people  do  Christina  and  Lauren  meet

      with  every  month?

  6. Version  1:  Calendar

  7. Version  2:  Form

  8. Version  3:  Sign  In

  9. Success!

  10. { Busiest  Month May:  77  people

  11. { Slowest  Month December:  27  people

  12. None

  13. { What  happened   in  July? Christina  and  Lauren  were

     out  of  the  office   (conferences,  summer  school,  workshops)

  14. { 312 Number  of  people  new  to  CHTC

  15. None

  16. Ñ  Everyone  has  to  deal  with  data Ñ  Sometimes  a

     simple  solution  is  the  best  solution Ñ  Structure  your  data Ñ  Once  you  have  data,  you  can  tell  a  story Lessons  Learned