Call for submission
Call for contributed talks and workshops
29 Jan 2020
The call for contributed talks, workshops and posters and the travel grant application are now open.
Registration will open soon. Follow us on Twitter, LinkedIn or Facebook to stay up to date!
Call for contributed talks and workshops: December 11 – January 29
Notification of acceptance: February 26, 2020
Early bird registration: January 27 – March 25, 2020
Regular registration: March 26 – May 6, 2020
Application period: December 9, 2019 – January 1, 2020
Notification of decisions: January 20, 2020
Program Announcement: March 18, 2020
Wed 27/5 evening
Thu 28/5 – Fri 29/5
Conference @ UniMiB
Thu 28/5 evening
Workshops @ Politecnico
The program of eRum will be structured around 6 tracks:
Covering everything related to the world of R, such as education, community, and the R ecosystem.
Data Visualization & Shiny
Innovative visualization methods, as well as reporting and web applications built with R.
R in Production
Machine Learning & Models
This track will cover all the developpment in statistical models, Machine Learning, and statistics in general.
R in Life Sciences
Applications and development of tools in biology, genomics, biostatistics, and bioinformatics.
Applications of R in fields such as social goods, finance, marketing, transportations, and many more.
Sharon Machlis is Director of Editorial Data & Analytics at IDG Communications, a global technology media company that publishes Computerworld, CIO, PCWorld, and Macworld, among other brands. In her current role, she hosts InfoWorld's "Do More With R" video series, writes R how-to articles, helps colleagues with data journalism projects, codes tools for colleagues around the world, and analyzes editorial web metrics. Sharon is the author of "Practical R for Mass Communication & Journalism" and the Computerworld Beginner's Guide to R She has also written a number of R packages, among which SunsetTSA.
Jared Lander is Chief Data Scientist at Lander Analytics, and Adjunct Professor at Columbia Business School, where he teaches the Introduction to Programming in R course. He is organizer of the New York Open Statistical Programming Meetup and Series Editor for Pearson. He is author of the R pacakges coefplot, useful, resumer and RepoGenerator, as well as the book "R for Everyone: Advanced Analytics and Graphics". His work with the Minnesota Vikings in the 2015 NFL Draft has been featured in in the Wall Street Journal.
Stephanie Hicks is an Assistant Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. She is also a faculty member of the Johns Hopkins Data Science Lab, co-host of The Corresponding Author podcast discussing data science in academia, and co-founder of R-Ladies Baltimore. Her research interests are at the intersection of statistics, genomics, and data science. She actively contributes software packages to Bioconductor and is involved in teaching courses for data science and the analysis of genomics data.
Francesco Bartolucci is a Professor of Statistics in the Department of Economics of the University of Perugia, where he also coordinated the Doctorate program in “Mathematical and Statistical Methods for the Economic and Social Sciences”. His main research interests of Francesco Bartolucci are focused on: Longitudinal and panel data, Latent variable and mixture models, Marginal models for categorical data, Optimization and Markov chain Monte Carlo algorithms. He co-authored the R packages LMest, MultiCIRT, MLCIRTwithin, cquad and extRC.
Kelly O’Briant is a solutions engineer at RStudio interested in configuration and workflow management with a passion for R administration. She has a background in data science, software engineering and cloud computing, with degrees in bioinformatics and computational sciences. In 2016, Kelly founded the Washington DC chapter of R-Ladies, a global organization dedicated to increasing gender diversity in the R community.
Tomas Kalibera is researcher at the Czech Technical University. As an active R Core developer Tomas has been contributing improvements and bug fixes to multiple parts of the R runtime including the byte-code compiler and interpreter, source reference handling, Windows specific code, package installation, memory management, object dispatch and function invocation. He implemented and maintains rchk, a tool for finding PROTECT bugs, which he uses regularly to check CRAN packages. He has been helping the CRAN team with checking and debugging packages, and is a member of the R Foundation.
Associate Professor @ Università degli Studi di Milano-Bicocca
Data scientist @ Hearth in Data
Research Associate @ Friedrich Miescher Institute for Biomedical Research
Machine Learning et al. @ Logikka
Andrie De Vries
R programmer, data scientist; Solutions engineer @ RStudio
Associate Professor @ Univeristy of Milano-Bicocca
Goran S. Milovanović
Data Scientist @ Wikidata, Wikimedia Deutschland e. V.
Bioinformartist @ Ospedale San Raffaele
Senior Data Scientist @ Mango Solutions
Data Science Team Leader / Expert Data Scientist @ Analyx
Senior Data Scientist and Project Leader @ Appsilon
Passionate R developer @ System1
Professor @ Politecnico di Milano
Data Scientist- StorytellR - R Trainer @ ThinkR
Course Developer Data Science @ EPFL Extension School
Assistant Professor @ Università degli Studi di Padova
Pier Luca Lanzi
Professor @ Politecnico di Milano
Associate Professor @ City University of New York
Freelance Statistical / R Consultant
Lecturer @ ETH
Stefano Maria Iacus
Project Officer @ European Commission, Joint Research Centre
We award travel grants to support participation in our conference