Open data, open methods, and reproducible and transparent research are increasingly endorsed by funders, publishers, institutions, and learned societies. But what does making your research open, transparent, and reproducible mean in practice? Where can one learn open skills?

The upcoming Data Conversations will help us gain interdisciplinary insights; we will explore Open Science perspectives both from Neuroscience and Computer Science and join a dialogue between these two disciplines.

Both projects, highlighted at this meeting participated in VU Open Science Challenge, a cooperation between the Open Science Program and an international training program, Open Seeds. This collaboration aims to support courageous individuals and teams willing to take up the challenge to make their research at VU University Amsterdam more open. They receive a monetary award from VU Amsterdam and 16 weeks-long training from the Open Seeds program.

Come to meet likeminded people at VU Amsterdam, share your stories and hear others. Find the registration button at the bottom of this page.

Location: the meeting is IN PERSON in the Global Room at the main building (there will be a link for hybrid participation as well)

Agenda

12:00 - 12:15 Grab your lunch and get comfortable

12:15 - 12:30  Niels Reijner, Mar Barrantes Cepas, Eduarda Centeno

Open Science in Neuroscience: A Practical Guide for Researchers

12:30 - 12:45 Elena Beretta

The invisible society: Misgendering in Facial Recognition Systems

12:45 - 13:00 Joint Q&A

13:00 - 13:30 (optional) Further discussion, sharing ideas and experiences and networking

About the projects

Open Science in Neuroscience: A Practical Guide for Researchers

Our project seeks to overcome barriers hindering Open Science adoption, particularly in neuroscience, by creating a specialized guidebook. This guidebook, tailored to address knowledge gaps, will provide researchers with practical tools and step-by-step guidance, covering essential aspects like data management, pre-registration, protocol sharing, code transparency, and open-access publishing.

The invisible society: Misgendering in Facial Recognition Systems

This project addressed the critical issue of gender representation in Automatic Face Analysis Systems (AFAS), particularly focusing on the challenges and misrepresentations faced by non-binary individuals. It explored the prevalent reliance of these technologies on binary gender models, which often leads to exclusion and reinforcement of societal biases. The study aimed to analyze the gap between self-perceived gender identities and those classified by machines, with the goal of fostering more inclusive AI technologies.

The research highlighted the increasing use of Face Recognition and Automatic Gender Recognition (AGR) across various sectors and their potential discriminatory impacts, especially on trans and non-binary individuals. Key objectives included assessing non-binary individuals' attitudes towards AFAS and identifying the divergences between human and machine recognition of gender. By exploring these aspects, the project aimed to contribute to a deeper understanding of gender inclusivity in AI, advocating for approaches that acknowledge and respect the full spectrum of gender identities.

What to expect?

Data Conversations will feature two short talks from researchers. Each talk will be about 10 minutes long. There will be a joint Q&A after the talks.

Don't miss the free lunch at the beginning of the event! Those who are willing to stay longer than an hour are welcome to continue discussion and networking after the presentations. 

Full information about Open Seeds 8 cohort is provided on OLS website. During this Data Conversations, we will hear from two VU Amsterdam projects.

Who should attend?

Data Conversations brings together researchers, research support staff and data management and data science experts from all subject areas. Early career researchers, as well as experienced academics, are welcome to attend.

About Data Conversations

Data Conversations started at the University of Lancaster in the UK. The Lancaster Data Conversations aim to bring data practitioners together to talk about how researchers create, collect, use and share data. The Data Conversations at the VU Amsterdam share the same aim and are intended to provide a forum for researchers from different subjects and disciplines to exchange practices and ideas around open data, FAIR data, research data management and related open science topics.

Call for Talks

You can attend and benefit from your colleagues' experiences or come and present your own experiences. We welcome short talks on topics related to Open Science and Reproducible Research from early career researchers as well as from more experienced academics and research support staff. This is an informal and inclusive event, so whether you are a seasoned presenter or a first-timer, your contribution will be welcome.

If you would like to propose a talk, please complete this form.