The task force was set up by the R Foundation in December 2015 to address the underrepresentation of women and rebranded in January 2017 to accommodate more under-represented groups such as LGBT, minority ethnic groups, and people with disabilities in the R community.
The members of the task force were invited to participate based on their interest in routing for specific under-represented groups and their contributions in the area of diversity and inclusion, to reflect different genders, ethnic groups, work contexts, career stages and aspects of the R project (e.g. CRAN and Bioconductor). The task force is organised as a core team plus a number of sub-teams that focus on particular tasks as outlined below:
Accessibility: Working to improve access to R materials for people with low vision, blindness, hard of hearing, deaf, and other disabilities.
Community: General outreach to help people from under-represented groups get into R and develop as useRs.
Conferences: Focusing on R Foundation conferences, liaising with organizers/program committee on policies and inclusion initiatives.
On-ramps: Creating paths for useRs to develop their skills and make contributions to the R/BioConductor package ecosystem.
Social Media: Posting to Twitter and/or Facebook, soliciting blog posts and publishing them, maintaining website.
Surveys: Running and analysing community surveys, packaging up data and tools and maintaining the Data page.
Teaching: Methodology, materials and workshops designed for under-represented groups.
The activities of the taskforce are recorded in the minutes of our bimonthly core team teleconferences and alternate monthly all team slackathons. We are open to new members joining one of our sub-teams. If interested, please contact email@example.com.
The task force is happy to engage with other individuals and organisations (such as R-Ladies) that are concerned about diversity and inclusion and actively seek outside collaboration on specific tasks.
Core Team Members
Heather Turner - Chair and ‘On-ramps’ team leader. Heather is a Research Software Engineering Fellow in the Statistics department at the University of Warwick and is on the board of the R Foundation. (LinkedIn/Twitter/ GitHub)
Kevin O’Brien - ‘Community’ team leader. Kevin is a data scientist working for a forestry company, modelling forestry resources, as well as one of the main organizers of Dublin R. (LinkedIn/Twitter/GitHub)
Yanina Bellini Saibene - ‘Conferences’ team leader. Yanina is a professor at national universities in Argentina and Uruguay and a researcher who applies data science to the agricultural sector. She is co-founder of MetaDocencia, part of the R-Ladies Global Team, co-founder and chair of LatinR, chair of useR! 2021, chair of the 49 & 50 JAIIO, and chair of the AgroInformatics Congress. (LinkedIn/Twitter/GitHub)
Noa Tamir - ‘Conferences’ team leader (on leave). Noa is a Data Science Manager, an organizer of the R-Ladies Berlin and Women in Machine Learning and Data Science Berlin Meetups, and has recently organized the satRday Berlin 2019 conference. (LinkedIn/Twitter/GitHub)
Saranjeet Kaur Bhogal - ‘On-ramps’ team leader. Saranjeet volunteers for the R-Ladies Global Team. She is a Statistician by training and likes to work for open source and open science. (LinkedIn/Twitter/GitHub)
Tatjana Kecojevic - ‘Surveys’ team leader. Tanja is a statistician, instructor and consultant. She is the founder of Sister Analyst, an NGO devoted to empowering women and other under-represented groups, in the field of data literacy and science. Tanja is also the founder and co-organiser of the R-Ladies Manchester and Belgrade chapters. Her enthusiasm for data science is matched by her commitment to inclusivity. Data skills should be accessible to anyone with a desire to discover. (LinkedIn/Twitter/GitHub)
Andrea Sánchez-Tapia - ‘Surveys’ team leader. Andrea is a computational biologist, working with biodiversity informatics and open and reproducible workflows in ecology. She teaches R and other computational skills in academic and non-academic environments, and co-organizes R-Ladies Rio de Janeiro. (Twitter/GitHub)
Emma Rand - ‘Teaching’ team leader. Emma is a Senior Lecturer (Associate Professor) at the University of York, UK and teaches reproducible data analysis to bioscientists in her institution and with the Royal Society of Biology and the Biochemical Society. (LinkedIn/Twitter/GitHub)
Sub Team Members
Lorna Maria Aine
Zhian N. Kamvar