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← Back
David Smith
Microsoft
Cloud Advocate
SF Bay Area, CA
https://blog.revolutionanalytics.com
Ask me about R at Microsoft, the R Consortium, or the Revolutions blog.
Monday
, July 3
6:00pm CEST
Meet and greet diversity scholars
Wild Gallery
6:30pm CEST
Sessions for useR! Newbies
PLENARY
Tuesday
, July 4
9:30am CEST
Data Carpentry: Open and Reproducible Research with R
2.02
2:00pm CEST
R package development with R-hub
2.02
4:00pm CEST
R package development with R-hub
2.02
5:30pm CEST
WELCOME RECEPTION
CATERING POINTS
Wednesday
, July 5
9:00am CEST
WELCOME
PLENARY
9:15am CEST
Sponsor Talk Microsoft
PLENARY
11:00am CEST
Updates to the Documentation System for R
3.02
11:36am CEST
Sports Betting and R: How R is changing the sports betting world
PLENARY
11:54am CEST
RL10N: Translating Error Messages & Warnings
3.02
12:12pm CEST
The R6 Class System
3.02
1:30pm CEST
The use of R in predictive maintenance: A use case with TRUMPF Laser GmbH
2.02
1:48pm CEST
Architectural Elements Enabling R for Big Data
3.02
2:06pm CEST
How the R Consortium is Supporting the R Community
PLENARY
2:24pm CEST
Diversity of the R Community
PLENARY
2:42pm CEST
Neural Embeddings and NLP with R and Spark
4.02
3:30pm CEST
Sponsor Talk Data Camp
PLENARY
3:45pm CEST
KEYNOTE: Teaching data science to new useRs
PLENARY
6:30pm CEST
Poster Reception
CATERING POINTS
Thursday
, July 6
11:00am CEST
Hosting Data Packages via `drat`: A Case Study with Hurricane Exposure Data
2.02
11:18am CEST
Can you keep a secret?
4.02
11:36am CEST
*jamovi*: a spreadsheet for R
PLENARY
11:54am CEST
The growing popularity of R in data journalism
PLENARY
12:12pm CEST
Automatically archiving reproducible studies with Docker
2.02
1:30pm CEST
R-based computing with big data on disk
2.01
1:48pm CEST
Deep Learning for Natural Language Processing in R
3.02
2:06pm CEST
odbc - A modern database interface
2.01
2:24pm CEST
Improving DBI
2.01
2:42pm CEST
Exploring and presenting maps with **tmap**
4.02
3:30pm CEST
Sponsor Talk Rstudio
PLENARY
3:45pm CEST
KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It
PLENARY
5:30pm CEST
R Blogging with blogdown and GitHub
3.02
5:35pm CEST
**redmineR** and the story of automating *useR!2017* abstract review process
3.02
5:40pm CEST
R in Minecraft
3.01
5:45pm CEST
R in a Pharmaceutical Company
4.02
5:50pm CEST
rOpenGov: community project for open government data
3.02
6:05pm CEST
Using R for optimal beer recipe selection
4.02
6:10pm CEST
Candy Crush R Saga
4.02
6:15pm CEST
Strategies for Reproducible Research with Packrat
2.02
Working with R when internet is not reliable
3.02
7:00pm CEST
Dinner
BRUSSELS EXPO
Friday
, July 7
9:15am CEST
Sponsor Talk Rconsortium
PLENARY
11:00am CEST
naniar: Data structures and functions for consistent exploration of missing data
2.01
Programming with tidyverse grammars
4.02
11:36am CEST
Taking Advantage of the Byte Code Compiler
4.02
11:54am CEST
R and Haskell: Combining the best of two worlds
2.02
1:15pm CEST
KEYNOTE: 20 years of CRAN
PLENARY
Timezone
useR!2017
Europe/Brussels
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useR!2017
Jul 3
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, July 6
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, July 7
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BRUSSELS EXPO
Brussels South Train Station
CATERING POINTS
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Bioinformatics I
Bioinformatics II
Business and Management
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Data reproducibility
Education
GIS
Graphics
HPC
Kaleidoscope I
Kaleidoscope II
Machine Learning I
Machine Learning II
Medical statistics
Methods I
Methods II
Methods in Business and Finance
Missing Data
Packages
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Programming II
Psychometrics and social statistics
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Statistical Modelling I
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Text Mining
Web
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42
43
58
74
105
106
107
108
110
111
112
117
143
164
174
175
177
182
186
189
191
193
195
197
203
204
205
206
207
209
237
238
239
260
264
272
274
292
303
307
309
321
323
331
333
341
345
347
370
377
381
383
387
393
395
400
406
408
414
419
422
424
426
434
440
442
458
464
466
468
470
482
484
486
488
492
502
510
512
514
516
522
532
536
542
550
556
561
563
573
578
582
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588
594
601
620
622
627
630
634
640
648
653
657
659
666
671
677
679
681
685
695
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699
701
720
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725
727
729
735
738
740
743
745
747
757
761
770
772
774
776
778
786
790
794
798
800
802
804
806
813
831
839
841
843
845
855
859
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871
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875
879
881
898
902
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912
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920
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940
942
955
970
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974
978
980
997
1008
1027
1029
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