What we're about

A local chapter of R-Ladies Global, R-Ladies Amsterdam exists to promote diversity in the R community worldwide. We are pro-actively inclusive of queer, trans, and all minority identities, with additional sensitivity to intersectional identities - our priority is to provide a safe community space for anyone identifying as a minority gender who is interested in and/or working with R. As a founding principle, there is no cost or charge to participate in any of our R-Ladies communities around the world.

R-Ladies Amsterdam welcomes members of all R proficiency levels, whether you're a new or aspiring R user, or an experienced R programmer interested in mentoring, networking & expert upskilling. Our non-profit, civil society community is designed to develop our members' R skills & knowledge through social, collaborative learning & sharing. Supporting minority identity access to STEM skills & careers, the Free Software Movement, and contributing to the global R community!

@RLadiesGlobal | info [at] rladies.org (email) | rladies.org (website) | github.com/rladies

PS Community Policies & Code of Conduct: the leadership, mentoring & teaching roles within this Community are held exclusively by minority genders (majority gender speakers may be allowed/invited as one-off guests in exceptional circumstances at the leadership team's discretion). Due to unexpected demand, we have opened learning participation to all genders, dependent on initial and on-going vetting by the leadership team. However, the stated priority of the R-Ladies communities is the development & support specifically of those identifying as a minority gender, and we, therefore, reserve the right to guard this interest through whatever measures the leadership team deem appropriate. Anyone involved with R-Ladies Amsterdam is expected to fully respect each other, the mandate of this community, and the goodwill on which R-Ladies is founded, or face expulsion/a penalty of any form, at the discretion of the leadership team. Full community guidelines are found here: https://github.com/rladies/starter-kit/wiki

PPS Photos, Films and all other media/recordings: photographs and/or video/other media will be taken at events held by this community. By taking part in an R-Ladies Amsterdam event you grant the community organizers full rights to use the images resulting from the photography/video filming/media, and any reproductions or adaptations of the images for publicity, fundraising or other purposes to help achieve the community’s aims. This might include (but is not limited to), the right to use them in their printed and online publicity, social media, press releases and funding applications. If you do not wish to be recorded in these media please inform a community organizer.

Upcoming events (1)

[ONLINE] - Prototyping with R Packages: Case Study on E-Commerce Fraud Detection

[ONLINE EVENT] ----------------------- You all have been patiently waiting ... and the time has finally come!!! After a couple of months hiatus, R-Ladies Amsterdam is back in full swing! On August 19th, 2020, we have a very exciting R Ladies presentation by Irene Steves and Yogev Herz, tuning in from Tel Aviv! (Yes, R-Ladies Amsterdam is globalizing =) !) [TOPIC] ----------- Irene and Yogev work in Tel Aviv for the eCommerce fraud protection company Riskified. In their work, they often come across fraud patterns in eCommerce that their regular models cannot detect. While retraining models on newer data can solve some of these problems, some patterns require entirely new analyses. In this talk, Irene and Yogev will discuss how they tackled fraudsters taking advantage of "Buy Online Pay in Store" policies, and how R packages helped gradually transition from analyses to production-ready code. [ABOUT IRENE and YOGEV] ------------------------------------- Irene holds an M.Sc. in Ecology and a B.A. in Integrative Biology, through which she first discovered R and data science. Her interest in data-led her to the Arctic Data Center at the University of California Santa Barbara, a summer internship at RStudio, and ultimately to the Research department at Riskified, where she now explores the fascinating patterns of fraud in e-commerce. Yogev first encountered R when studying the social organization of bumblebees for his M.Sc. in evolutionary biology. He transitioned to full-time R user and programmer when he left the hot and humid beehive to the air-conditioned office space of the research department in Riskified. He enjoys learning new R tricks and packages to improve the department’s data science capabilities. [PROGRAMME] --------------------- To come [ZOOM LINK] ------------------- To come

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