e-Rum2020 Program
Book of abstracts for accepted contributions
The abstracts of accepted contributions organized by session type is available as a bookdown at https://milano-r.github.io/erum2020program.
Detailed program schedule
The detailed schedule of e-Rum2020 as PDF booklet.
Conference Materials
Materials of all talks and workshops are collected below.
Conference materials are being populated based on speakers and community contributions. We recommend to Watch and Star the repository to be up-to-date with newly-collected materials. For larger contributions, we recommend creating issues first for better coordination, and checking the existing ones for "help wanted".
Index
-
- Parallel Session 1 - Machine Learning
- Parallel Session 2 - Life Sciences
- Parallel Session 3 - Applications / R in Production
- Parallel Session 4 - Life Sciences
- Parallel Session 5 - R World
- Parallel Session 6 - R in Production / R World
- Parallel Session 7 - Data Visualization & Shiny
- Parallel Session 8 - Machine Learning & Models
- Parallel Session 9 - R in Production
- Parallel Session 10 - Machine Learning / Applications
Keynotes
Keynote 1 - Stephanie Hicks - Life Sciences
Using R and data science to improve human health
- Speaker: Stephanie Hicks (@stephaniehicks, website, LinkedIn)
- Materials: slides
Keynote 2 - Jared Lander - Applications
Applying R at Work
- Speaker: Jared Lander (@jaredlander, website, LinkedIn)
- Materials: slides
Keynote 3 - Francesco Bartolucci - Machine Learning & Models
Latent Markov models for longitudinal data in R by LMest package
- Speaker: Francesco Bartolucci (@f_bartolucci, website, LinkedIn)
- Materials: slides
Keynote 4 - Sharon Machlis - DataViz
What I Learned as an R Journalist
- Speaker: Sharon Machlis (@sharon000, LinkedIn)
- Materials: slides
Keynote 5 - Tomas Kalibera - R World
The Invisible Work on R
Keynote 6 - Kelly O'Briant - R in Production
Reflections on two years of solutions engineering at RStudio
- Speaker: Kelly O'Briant (@kellrstats, website, LinkedIn)
- Materials: slides
Invited Sessions
Invited Session 1 - Life Sciences / CovidR / R World
Multi-Omics Factor Analysis Plus: A probabilistic framework for comprehensive and scalable integration of multi-modal data
COVID-19 Data Hub
- Speaker: Emanuele Guidotti (website, LinkedIn, GitHub)
- Materials: COVID19 R Package
COVOID: Modelling COVID-19 Transmission and Interventions
Building Agile data products leveraging the R package structure
- Speaker: Edwin Thoen (@edwin_thoen)
- Materials: slides
Invited Session 2 - Machine Learning & Models / DataViz (Shiny) / Applications
brquasi: Improved quasi-likelihood estimation
- Speaker: Ioannis Kosmidis (@IKosmidis_, website, LinkedIn)
- Materials: slides
Better than Deep Learning: Gradient Boosting Machines (GBM) – with 2020 updates
Testing Shiny: What, why, and how.
- Speaker: Colin Fay (@_ColinFay)
- Materials: slides
From writing code to infoRming policy: a case study of reproducible research in transport planning
- Speaker: Robin Lovelace
- Materials: TBD
Invited Session 3 - Shiny / R in Production / R World
CRANalerts: A Shinyapp-as-a-Service for Impatient R Users
- Speaker: Dean Attali
- Materials: TBD
And you thought CRAN was harsh
- Speaker: Colin Gillespie (@csgillespie)
- Materials: slides, repo
How to improve your R package
- Speaker: Maëlle Salmon (@ma_salmon)
- Materials: slides
dplyr 1.0.0
- Speaker: Romain Francois (@romain_francois)
- Materials: slides
Parallel Sessions
Parallel Session 1 - Machine Learning
Deduplicating real estate ads using Naive Bayes record linkage
- Speaker: Daniel Meister (@danimeist)
- Materials: slides
Hydrological Modelling and R
- Speaker: Emanuele Cordano
- Materials: slides
gWQS: An R Package for Linear and Generalized Weighted Quantile Sum (WQS) Regression
- Speaker: Stefano Renzetti
- Materials: TBD
Flexible Meta-Analysis of Generalized Additive Models with metagam
- Speaker: Øystein Sørensen (@SorensenOystein, website)
- Materials: slides, blog post
Parallel Session 2 - Life Sciences
CONNECTOR: a computational approach to study intratumor heterogeneity
- Speaker: Simone Pernice
- Materials: TBD
EPIMOD: A computational framework for studying epidemiological systems
- Speaker: Paolo Castagno
- Materials: TBD
How to apply R in a hospital environment on standard available hospital-wide data
- Speaker: Mieke Deschepper
- Materials: TBD
APFr: Average Power Function and Bayes FDR for Robust Brain Networks Construction
- Speaker: Nicolò Margaritella
- Materials: TBD
Parallel Session 3 - Applications / R in Production
Using process mining principles to extract a collaboration graph from a version control system log
Design Patterns For Big Shiny Apps
- Speaker: Alex Gold (@alexkgold)
- Materials: slides, repo
Fake News: AI on the battle ground
- Speaker: Ayomide Shodipo
- Materials: TBD
progressr: An Inclusive, Unifying API for Progress Updates
- Speaker: Henrik Bengtsson (@henrikbengtsson, website)
- Materials: slides, blog post
Parallel Session 4 - Life Sciences
Interpretable and accessible Deep Learning for omics data with R and friends
- Speaker: Moritz Hess
- Materials: TBD
GeneTonic: enjoy RNA-seq data analysis, responsibly
- Speaker: Federico Marini (@FedeBioinfo)
- Materials: slides
DaMiRseq 2.0: from high dimensional data to cost-effective reliable prediction models
- Speaker: Mattia Chiesa
- Materials: TBD
A simple and flexible inactivity/sleep detection R package
- Speaker: Francesca Giorgolo
- Materials: TBD
Parallel Session 5 - R World
The R Consortium 2020: adapting to rapid change and global crisis
- Speaker: Joseph Rickert
- Materials: TBD
CorrelAidX - Building R-focused Communities for Social Good on the Local Level
- Speaker: Regina Siegers
- Materials: TBD
From consulting to open-source and back
- Speaker: Christoph Sax
- Materials: TBD
{polite}: web etiquette for R users
Parallel Session 6 - R in Production / R World
Powering Turing e-Atlas with R
Dplyr snowflake integration for cloud based massive and fast data manipulation
- Speaker: Massimiliano Silano
- Materials: TBD
Supporting R in the Binder Community
- Speaker: Sarah Gibson
- Materials: TBD
Parallel Session 7 - Data Visualization & Shiny
Transparent Journalism Through the Power of R
- Speaker: Tatjana Kecojevic
- Materials: TBD
Elevating shiny module with {tidymodules}
- Speaker: Mustapha Larbaoui
- Materials: TBD
Interactive visualization of complex texts
- Speaker: Renate Delucchi Danhier
- Materials: TBD
What’s New in ShinyProxy
- Speaker: Tobias Verbeke
- Materials: TBD
Parallel Session 8 - Machine Learning & Models
Voronoi Linkage for Spatially Misaligned Data
- Speaker: Luís G. Silva
- Materials: TBD
Astronomical source detection and background separation: a Bayesian nonparametric approach
- Speaker: Andrea Sottosanti
- Materials: TBD
High dimensional sampling and volume computation
- Speaker: Apostolos Chalkis
- Materials: TBD
BNPmix: an new package to estimate Bayesian nonparametric mixtures
- Speaker: Riccardo Corradin
- Materials: TBD
Parallel Session 9 - R in Production
Be proud of your code! Tools and patterns for making production-ready, clean R code
- Speaker: Marcin Dubel (@DubelMarcin)
- Materials: slides
R alongside Airflow, Docker and Gitlab CI
- Speaker: Matthias Bannert
- Materials: TBD
Using XGBoost, Plumber and Docker in production to power a new banking product
- Speaker: André Rivenæs & Markus Mortensen
- Materials: TBD
Creating drag-and-drop shiny applications using sortable
- Speaker: Andrie De Vries
- Materials: TBD
Parallel Session 10 - Machine Learning / Applications
FastAI in R: preserving wildlife with computer vision
- Speaker: Jędrzej Świeżewski
- Materials: TBD
Manifoldgstat: an R package for spatial statistics of manifold data
- Speaker: Luca Torriani & Ilaria Sartori
- Materials: TBD
varycoef: Modeling Spatially Varying Coefficients
- Speaker: Jakob Dambon (@JakobDambon)
- Materials: slides
Computer Algebra Systems in R
- Speaker: Mikkel Meyer Andersen
- Materials: TBD
Lightning Talks
Lightning Talks 1 - Data Visualization & Production
Time Series Missing Data Visualizations
- Speaker: Steffen Moritz (@_SteffenMoritz, website)
- Materials: presentation, package, github
effectclass: an R package to interpret effects and visualise uncertainty
- Speaker: Thierry Onkelinx (github, blog)
- Materials: presentation, package documentation, package source code
Supporting Twitter analytics application with graph-databases and the aRangodb package
- Speaker: Gabriele Galatolo
- Materials: TBD
dm: working with relational data models in R
- Speaker: Kirill Muller
- Materials: TBD
An innovative way to support your sales force
- Speaker: Matilde Grecchi
- Materials: TBD
Keeping on top of R in Real-Time, High-Stakes trading systems
- Speaker: Nicholas Jhirad
- Materials: TBD
Lightning Talks 2 - Life Sciences
An enriched disease risk assessment model based on historical blood donors records
- Speaker: Andrea Cappozzo (@AndreaCappozzo, website)
- Materials: slides
A principal component analysis based method to detect biomarker captation from vibrational spectra
- Speaker: Marco Calderisi
- Materials: TBD
ptmixed: an R package for flexible modelling of longitudinal overdispersed count data
- Speaker: Mirko Signorelli (@signormirko, website)
- Materials: slides, resources
Differential Enriched Scan 2 (DEScan2): an R pipeline for epigenomic analysis
- Speaker: Dario Righelli
- Materials: TBD
Reproducible Data Visualization with CanvasXpress
Using open-access data to derive genome composition of emerging viruses
- Speaker: Liam Brierley (@L_Brierley)
- Materials: slides
Lightning Talks 3 - Machine Learning
Ultra fast penalized regressions with R package {bigstatsr}
Explaining black-box models with xspliner to make deliberate business decisions
- Speaker: Krystian Igras (@krystian8207)
- Materials: slides
One-way non-normal ANOVA in reliability analysis using with doex
- Speaker: Mustafa Cavus
- Materials: TBD
Analyzing Preference Data with the BayesMallows Package
- Speaker: Øystein Sørensen (@SorensenOystein, website)
- Materials: slides, blog post
Flexible deep learning via the JuliaConnectoR
Lightning Talks 4 - Applications
rdwd: R interface to German Weather Service data
- Speaker: Berry Boessenkool
- Materials: TBD
tv: Show Data Frames in the Browser
- Speaker: Christoph Sax
- Materials: TBD
Predicting the Euro 2020 results using tournament rank probabilities scores from the socceR package
- Speaker: Claus Ekstrom
- Materials: TBD
Design your own quantum simulator with R
- Speaker: Indranil Ghosh (@indraghosh314, website)
- Materials: slides, CRAN
What are the potato eaters eating
- Speaker: Keshav Bhatt
- Materials: TBD
Towards more structured data quality assessment in the process mining field: the DaQAPO package
- Speaker: Niels Martin (@Niels_Martin)
- Materials: slides, CRAN
Shiny Demos
Shiny Demo 1 - Machine Learning & Applications
A demonstration of ABACUS: Apps Based Activities for Communicating and Understanding Statistics
- Speaker: Mintu Nath
- Materials: TBD
tsviz: a data-scientist-friendly addin for RStudio
- Speaker: Emanuele Fabbiani
- Materials: Medium Post, GitHub repo, CRAN package
Media Shiny: Marketing Mix Models Builder
- Speaker: Andrea Melloncelli @akirocode
- Materials: Slides and Demo
Scoring the Implicit Association Test has never been easier: DscoreApp
- Speaker: Ottavia M. Epifania Linkedin, Twitter, Psicostat
- Materials: Slides, App repository, DscoreApp
rTRhexNG: Hexagon sticker app for rTRNG
- Speaker: Riccardo Porreca
- Materials: live app, GitHub repo
How green is your portfolio ? Tracking C02 footprint in the insurance sector
- Speaker: Antoine Logean
- Materials: TBD
Shiny Demo 2 - Mobility & Spatial
Visualising and Modelling Bike Sharing Mobility usage in the city of Milan
- Speaker: Agostino Torti
- Materials: TBD
ESPRES: A shiny web tool to support River Basin Management planning in European Watersheds
- Speaker: Angel Udias
- Materials: TBD
Mobility scan
- Speaker: Josue Aduna
- Materials: TBD
Developing Shiny applications to facilitate precision agriculture workflows
- Speaker: Lorenzo Busetto
- Materials: TBD
“GUInterp”: a Shiny GUI to support spatial interpolation
- Speaker: Luigi Ranghetti
- Materials: documentation, source code, live demo.
Poster Sessions
Poster Session 1 - Life Sciences & Applications
A flexible dashboard for monitoring platform trials
- Speaker: Alessio Crippa
- Materials: TBD
PRDA package: Enhancing Statistical Inference via Prospective and Retrospective Design Analysis
- Speaker: Angela Andreella (@aangeella)
- Materials: Poster materials
EasyReporting: a Bioconductor package for Reproducible Research implementation
- Speaker: Dario Righelli
- Materials: TBD
NewWave: a scalable R package for the dimensionality reduction of single-cell RNA-seq
- Speaker: Federico Agostinis
- Materials: TBD
Integrating professional software engineering practices in medical research software
- Speaker: Patricia Ryser-Welch
- Materials: TBD
Dealing with changing administrative boundaries: The case of Swiss municipalities
- Speaker: Tobias Schieferdecker
- Materials: poster, package-repository, poster-repository
Poster Session 2 - DataViz & Machine Learning
Automate flexdashboard with GitHub
- Speaker: Binod Jung Bogati
- Materials: TBD
orf: Ordered Random Forests
- Speaker: Gabriel Okasa
- Materials: Poster, Slides, Paper, Repository, CRAN
Power Supply health status monitoring dashboard
- Speaker: Marco Calderisi
- Materials: TBD
First-year ICT students dropout predicting with R models
- Speaker: Olga Dunajeva
- Materials: TBD
Benchmark Percentage Disjoint Data Splitting in Cross Validation for Assessing the Skill of Machine
- Speaker: Olalekan Joseph Akintande
- Materials: TBD
badDEA: An R package for measuring firms’ efficiency adjusted by undesirable outputs
- Speaker: Hervé Dakpo
- Materials: TBD
CorpFinder- a new application to identify Large Corporate Risks
- Speaker: Aurélien Severino
- Materials: slides
Thematic Lounges
Thematic Lounge 1 - Developing Software and Careers in Life Sciences
Developing Software and Careers in Life Sciences
- Chairs: Federico Marini (@FedeBioinfo), Charlotte Soneson (@CSoneson), Davide Risso (@drisso1893)
- Materials: https://docs.google.com/document/d/1R2lhSG7B3HqeGAWRqenvd9XdxWQ7JmGELUbmwY7a_ug/edit?usp=sharing
Thematic Lounge 2 - Building Community & Diversity
Building Community & Diversity
- Chairs: Sara Iacozza (@IacozzaSara), Levi Waldron (@leviwaldron1), Janine Khuc (@Janinekhuc), Parvaneh Shafiei (@parvanehshafiei)
- Materials: https://docs.google.com/document/d/1HlzARyRmobvvYli99BL-ChWCorx1ogibJTlDLXU3KrY/edit?usp=sharing
Thematic Lounge 3 - Data science: freelancing and business
Data science: freelancing and business
- Chairs: Enrico Deusebio (@enrico_deusebio), Mariachiara Fortuna (@maryclaryf), Riccardo L. Rossi (@ricreds)
- Materials: https://docs.google.com/document/d/1dEKXtALLaOCf2x-ZJIhsen5iZS0gZEZwG8JupkRqVKE/edit?usp=sharing
Workshops
Morning Workshops
Is R ready for Production? Let’s develop a Professional Shiny Application!
- Instructor: Andrea Melloncelli (@akirocode)
- Materials: repository
Image processing and computer vision with R
- Instructor: Lubomír Štěpánek, Jiří Novák
- Materials: repository
Explanation and exploration of machine learning models with R
- Instructor: Przemyslaw Biecek, Anna Kozak, Szymon Maksymiuk
- Materials: https://github.com/pbiecek/XAIatERUM2020
Non-disclosive federated analysis in R
- Instructor: Patricia Ryser-Welch, Paul Burton, Demetris Avraam, Stuart Wheater, Olly Butters, Becca Wilson, Alex Westerberg, Leire Abarrategui-Martinez
- Materials: https://github.com/patRyserWelch8/DataSHIELD.eRUM.2020/wiki
A unified approach for writing automatic reports: parameterization and generalization of R-Markdown
- Instructor: Cristina Muschitiello, Niccolò Stamboglis
- Materials: repo (with sides inside each section)
Build a website with blogdown in R
- Instructor: Tatjana Kecojevic, Katarina Kosmina, Tijana Blagojev
- Materials: TBD
Afternoon Workshops
Reproducible workflows with the RENKU platform
- Instructor: Christine Choirat, The Renku Development Team
- Materials: TBD
How to build htmlwidgets
- Instructor: John Coene
- Materials: repository, website, slides
Semantic Web in R for Data Scientists
- Instructor: Goran Milovanović
- Materials: TBD
Advanced User Interfaces for Shiny Developers
- Instructor: David Granjon, Mustapha Larbaoui, Flavio Lombardo, Douglas Robinson
- Materials: TBD
Bring your R Application Safely to Production. Collaborate, Deploy, Automate
- Instructor: Riccardo Porreca, Peter Schmid
- Materials: repository, slides