- bebatut, malvikasharan, yochannah
Markus Winkler (CC-BY)
Around June 2019, OLS was originally dreamed up. Mozilla had launched a call for applications to Open Leaders X, the program that incubated OLS and several other related open leadership initiatives. In July 2019, we submitted a collaboratively prepared application written at the BOSC 2019 CoFest (see the draft), and in September we were delighted to learn we had been accepted to create our program as a part of Open Leaders X. Slightly more than a year has now passed, and we would like to share the first annual OLS project and community report with you.
Since the report is quite elaborative, we are publishing them in 3 parts:
We designed our project to be inclusive of different demographics, by intentionally targeting researchers from countries, identities and genders who are traditionally underrepresented in Open Science (thanks to 166 members in the OLS community). We personally reached out to all the mentors and experts from diverse domain knowledge, personal backgrounds and identities. Our current mentors represent scientific communities from Australia, Brazil, Canada, China, Ethiopia, France, Germany, Ghana, Kenya, South Africa, Spain, Switzerland, The Netherlands, UK, and the USA. Our expert community is double this in both size and representation. We started our first cohort with mentees who came from equally diverse countries from 5 continents, representing low, middle and high economy countries equally. 29 individuals joined from Kenya, Netherlands, Brazil, Canada, Thailand, Spain, UK, Japan, Russian, India, USA, Norway, Germany, and Nepal. Our mentors represented research communities from China, Greece, the UK, the USA, South Africa, Germany, Kenya, Netherlands, and Brazil.
We use welcoming and open channels for community participation. We have a cohort-based Slack channel and a public-facing Gitter channel (more details). We strive to avoid jargon and other non-inclusive language that can alienate, and make underrepresented people feel excluded. We use simple and jargon-free English in our communications, website and training resources (see an example from one of the cohort calls). On our website, we encourage people to list their pronouns in their profile if they feel comfortable doing so. At the beginning of each cohort call, we remind participants about our Code of Conduct and use a roll call where participants are asked to list their names and pronouns so others address them respectfully. We encourage and recognize the quietest voices, and not just those with the most confidence and volume. During the cohort calls, we facilitate breakout discussions and encourage shared note-taking in shared notes. In OLS-2, cohort calls are live-transcribed using Otter.ai, and some breakout rooms are silent note-based, to ensure that people with varying language skills or ability can still get an interactive and full experience. Recordings from these calls are posted on YouTube for the cohort members to catch up if they couldn’t attend the call.
We are still learning and are extremely grateful for the community members for sharing their experiences and resources with us to improve accessibility in the program. Over the last year, we’ve grown massively, from a hopeful idea co-founded by three people to a thriving open science community - weekly emails to our 32 OLS-2 projects and mentors lists reaches over 100 people, and Zoom cohort calls now boast 40+ participants, despite being staggered across different times of day to accommodate time zones across the six different continents. In addition to the countries in OLS-1, OLS-2 participants also represent Australia, Austria, Bangladesh, Indonesia, Mali, New Zealand, Nigeria, Switzerland, Turkey, and Uganda in our cohort.
The project has been supported by many organisations that have helped promote the program in their network allowing access to a wider research community.
Bonus trivia: In July 2020, OLS was also shortlisted as one of the two projects as “best innovation in Open Source Technology” by CogX - a global festival for AI and technology. Though we did not win the award, we attracted the attention of early-stage researchers interested in building their projects on AI and data science.