Sched.com Conference Mobile Apps
useR!2017
has ended
Create Your Own Event
useR!2017
Schedule
Simple
Expanded
Grid
By Venue
Speakers
Attendees
Search
or browse by date + venue
BREAK
Conference Event
Invited Talk
Lightning Talk
All
Biostatistics
Business/Machine learning
Community/Education
Ecology/Statistics
General
Reporting
R Initiatives
Sponsor talk
Talk
All
Bioinformatics I
Bioinformatics II
Business and Management
Clustering
Community
Data management
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
Programming I
Programming II
Psychometrics and social statistics
Shiny I
Shiny II
Statistical Modelling I
Statistical Modelling II
Text Mining
Web
Tutorial
Company
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
40
41
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
584
588
594
601
620
622
627
630
634
640
648
653
657
659
666
671
677
679
681
685
695
697
699
701
720
723
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
867
869
871
873
875
879
881
898
902
904
906
910
912
917
920
922
928
936
938
940
942
955
970
972
974
978
980
997
1008
1027
1029
1035
1037
1043
1046
1058
1060
1062
1066
1068
1072
1087
1102
1111
1119
1131
1144
1152
1154
1156
1160
1164
1168
1175
1179
1183
1185
1189
1191
1201
1205
1245
Popular
menu
Menu
Schedule
Speakers
Attendees
Search
← Back
Jessica Peterka-Bonetta
eyeo GmbH
Data Scientist
Cologne Area, Germany
eyeo.com
Contact Me
on Facebook
Psychologist with a strong interest in Social Media data analysis, data mining, data cleaning, nlp.
Tuesday
, July 4
8:00am CEST
REGISTRATION
Wild Gallery
9:30am CEST
Solving iteration problems with purrr
3.02
11:30am CEST
Solving iteration problems with purrr
3.02
1:00pm CEST
LUNCH
CATERING POINTS
2:00pm CEST
Efficient R Programming
PLENARY
3:30pm CEST
COFFEE BREAK
CATERING POINTS
4:00pm CEST
Efficient R Programming
PLENARY
5:30pm CEST
WELCOME RECEPTION
CATERING POINTS
Wednesday
, July 5
8:00am CEST
REGISTRATION
Wild Gallery
9:00am CEST
WELCOME
PLENARY
9:30am CEST
KEYNOTE: Structural Equation Modeling: models, software and stories
PLENARY
10:30am CEST
COFFEE BREAK
CATERING POINTS
11:00am CEST
Analysis of German Fuel Prices with R
PLENARY
How we built a Shiny App for 700 users?
4.02
11:36am CEST
Interacting with databases from Shiny
4.02
11:54am CEST
ShinyProxy
4.02
12:12pm CEST
Developing and deploying large scale Shiny applications for non-life insurance
4.02
12:30pm CEST
LUNCH
CATERING POINTS
1:30pm CEST
R-Ladies Global Community
PLENARY
1:48pm CEST
Too good for your own good: Shiny prototypes out of control
2.02
2:06pm CEST
A Tidy Data Model for Natural Language Processing
4.02
Beyond Prototyping: Best practices for R in critical enterprise environments
2.02
2:24pm CEST
Diversity of the R Community
PLENARY
R goes Mobile: Efficient Scheduling for Parallel R Programs on Heterogeneous Embedded Systems
3.02
Text Analysis and Text Mining Using R
4.02
2:42pm CEST
We R What We Ask: The Landscape of R Users on Stack Overflow
PLENARY
3:00pm CEST
COFFEE BREAK
CATERING POINTS
3:45pm CEST
KEYNOTE: Teaching data science to new useRs
PLENARY
4:45pm CEST
COFFEE BREAK
CATERING POINTS
5:00pm CEST
Navigating the R package universe
PLENARY
6:30pm CEST
Poster Reception
CATERING POINTS
Thursday
, July 6
8:00am CEST
REGISTRATION
Wild Gallery
9:30am CEST
KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R*
PLENARY
10:30am CEST
COFFEE BREAK
CATERING POINTS
11:00am CEST
Show Me Your Model: tools for visualisation of statistical models
PLENARY
11:18am CEST
Clouds, Containers and R, towards a global hub for reproducible and collaborative data science
2.02
11:36am CEST
*jamovi*: a spreadsheet for R
PLENARY
11:54am CEST
jug: Building Web APIs for R
4.02
12:12pm CEST
Automatically archiving reproducible studies with Docker
2.02
12:30pm CEST
LUNCH
CATERING POINTS
1:30pm CEST
Community-based learning and knowledge sharing
PLENARY
ReinforcementLearning: A package for replicating human behavior in R
3.02
The **renjin** package: Painless Just-in-time Compilation for High Performance R
2.02
1:48pm CEST
Deep Learning for Natural Language Processing in R
3.02
R Package glmm: Likelihood-Based Inference for Generalized Linear Mixed Models
3.01
2:06pm CEST
R4ML: A Scalable R for Machine Learning
3.02
2:24pm CEST
Computer Vision and Image Recognition algorithms for R users
3.02
2:42pm CEST
*implyr**: A **dplyr** Backend for a Apache Impala
2.01
The analysis of R learning styles with R
PLENARY
3:00pm CEST
COFFEE BREAK
CATERING POINTS
3:45pm CEST
KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It
PLENARY
5:15pm CEST
COFFEE BREAK
CATERING POINTS
5:30pm CEST
R and Tableau Integration: A Case approach
2.02
The cutpointr package: Improved and tidy estimation of optimal cutpoints
3.01
5:35pm CEST
The dataCompareR package
2.02
5:40pm CEST
Automatic Machine Learning in R
4.02
The current state of naming conventions in R
3.02
Use of templates within an R package to create a (semi-)automated analysis workflow and/or report
2.02
5:45pm CEST
graphiT: an interactive, user-friendly tool to produce graphics based on the grammar of graphics' principles
2.02
5:50pm CEST
Data Analysis Using Hierarchical Generalized Linear Models with R
3.01
6:00pm CEST
Advanced R Solutions -- A Bookdown Project
3.01
An example of Shiny tool at Nestlé R&D, an enabler to guide product developers in designing gluten free biscuits
4.02
nsoAPI - retrieving data from National Statistical Offices with R
3.02
6:05pm CEST
Jurimetrics: quantitative analysis of judicial decisions using R
3.02
Using R for optimal beer recipe selection
4.02
6:10pm CEST
Candy Crush R Saga
4.02
6:15pm CEST
Gamifyr: Transforming Machine Learning Tasks into Games with Shiny
4.02
6:20pm CEST
Data Error! But where?
3.01
6:30pm CEST
Buses
Wild Gallery
7:00pm CEST
Dinner
BRUSSELS EXPO
Friday
, July 7
9:30am CEST
KEYNOTE: R tools for the analysis of complex heterogeneous data
PLENARY
10:30am CEST
COFFEE BREAK
CATERING POINTS
11:00am CEST
Teaching psychometrics and analysing educational tests with **ShinyItemAnalysis**
PLENARY
11:18am CEST
Easy imputation with the simputation package
2.01
Letting R sense the world around it with **shinysense**
PLENARY
Modules in R
4.02
11:36am CEST
papr: Tinder for pre-prints, a Shiny Application for collecting gut-reactions to pre-prints from the scientific community
PLENARY
11:54am CEST
How to deal with Missing Data in Time Series and the imputeTS package
2.01
shiny.collections: Google Docs-like live collaboration in Shiny
PLENARY
12:12pm CEST
LUNCH
CATERING POINTS
1:15pm CEST
KEYNOTE: 20 years of CRAN
PLENARY
2:15pm CEST
CLOSING
Wild Gallery
Timezone
useR!2017
Europe/Brussels
Filter By Date
useR!2017
Jul 3
-
7, 2017
Monday
, July 3
Tuesday
, July 4
Wednesday
, July 5
Thursday
, July 6
Friday
, July 7
Filter By Venue
Wild Gallery
Sort schedule by Venue
2.01
2.02
3.01
3.02
4.01
4.02
4.03
BRUSSELS EXPO
Brussels South Train Station
CATERING POINTS
PLENARY
Wild Gallery
Filter By Type
BREAK
Conference Event
Invited Talk
Lightning Talk
All
Biostatistics
Business/Machine learning
Community/Education
Ecology/Statistics
General
Reporting
R Initiatives
Sponsor talk
Talk
All
Bioinformatics I
Bioinformatics II
Business and Management
Clustering
Community
Data management
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
Programming I
Programming II
Psychometrics and social statistics
Shiny I
Shiny II
Statistical Modelling I
Statistical Modelling II
Text Mining
Web
Tutorial
Company
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
40
41
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
584
588
594
601
620
622
627
630
634
640
648
653
657
659
666
671
677
679
681
685
695
697
699
701
720
723
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
867
869
871
873
875
879
881
898
902
904
906
910
912
917
920
922
928
936
938
940
942
955
970
972
974
978
980
997
1008
1027
1029
1035
1037
1043
1046
1058
1060
1062
1066
1068
1072
1087
1102
1111
1119
1131
1144
1152
1154
1156
1160
1164
1168
1175
1179
1183
1185
1189
1191
1201
1205
1245
Popular
Recently Active Attendees
David Hay
ChristophGietl
gstricker
Sondra M Stegenga
Steven A. Rodriguez
Derek Sollberger
Daniel Nüst
J
JYJY
More →