R-Ladies Freiburg (English) - Panel discussion: Women in Science
Channel: R-Ladies Global
Date: 2021-05-14

R-Ladies Toolbox Series - Essentials for women and minority genders in academia, science and data analysis. Part 5. 

To finish this series about women in science we discuss the inequities and problems that women and gender minorities find in academia. We talked about systemic issues, non-visible barriers, work, family and care. What problems do we face? Are policies to increase gender equality effective? Is there data to support these measurements and decisions? Discussion with a great panel of women and we invite you too to share your own perspectives!

Links shared during the meeting:
- Result of the pandemic changing workplaces and expectations
https://data2x.org/resource-center/tracking-the-gender-impact-of-covid-19-an-indicator-framework/

- Hiring Bias
https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00755/full

- Book Feminism, Labour and Digital Media
https://www.routledge.com/Feminism-Labour-and-Digital-Media-The-Digital-Housewife/Jarrett/p/book/9781138575660

- Twitter account Científicas de acá
Twitter that aims to visualize the work of women scientist in Argentina
Somos @carohadad, @julielffman, @ValeArvejita y @JuliAlcain. Buscamos visibilizar el trabajo de las mujeres que hacen ciencia y tecnología en y desde Argentina.
https://twitter.com/cientificasaca/

- Decolonising AI: A transfeminist approach to data and social justice
https://medium.com/codingrights/decolonising-ai-a-transfeminist-approach-to-data-and-social-justice-a5e52ac72a96

Expectations of brilliance underlie gender distributions across academic disciplines
https://science.sciencemag.org/content/347/6219/262


Our panelists:

Daloha Rodriguez-Molina
originally comes from Venezuela where she studied medicine and practiced as a primary care physician, emergency physician, and occupational physician. Currently, she is an occupational and environmental epidemiologist and an early career researcher pursuing a PhD degree in Epidemiology at the LMU Munich. In parallel, she has been involved in in-person, e-learning and blended learning teaching activities at the LMU Munich, the Virtual University of Baviera, and the Center for International Health of the LMU Munich. Additionally, she is a co-founder of the R-Ladies Munich group. Her research interests are data cleaning, wrangling and analysis, reproducible research, causality, risk of bias analysis, and clinical reasoning. 
@darokun

Ivana Feldfeber
is a feminist activist from Buenos Aires, and is currently living in Bariloche. Ivana holds degrees in Education and Social Pedagogy and is completing a postgraduate diploma in "Data Science: Machine Learning and its Applications" at the University of Córdoba, Argentina. She is a teacher of programming and robotics for children and teenagers. She worked as a data scientist at an online platform, analyzing the data from a social and educational point of view. She attended many conferences regarding data in Latin America and realized that no one was talking about gender bias, gender data, and feminism. So Ivana decided to create "DataGénero" a gender data Observatory, the first in the region with a group of scientists, activists, and people from different disciplines and countries. https://datagenero.org
@Ivanafeld @datagenero

Kamila Benadrouche
holds a master’s degree in operational research: optimization and strategic management. Economic studies engineer at Sonatrach. Previously teaching programming tools and R language at the University of Boumerdes, Algeria. Founder of R-Ladies Algiers and organizer of the meetups for the promotion of R.
@kamila_bena @RladiesAlgiers

Liili Abuladze
is a social demography PhD researcher at Tallinn University, Estonia. Her research interests include population aging outcomes, fertility, and family formation, and data quality. In 2020, she was awarded the European Association for Population Studies Outreach Award for communication activities in demography. She is also the initiator and co-organiser of the R-Ladies Tbilisi community.
@liilia @RLadiesTbilisi

Manasi Mahadik
Majoring in econometrics and completing post-graduate programs in statistics, and business management, Manasi has been applying R in an academic setting across a variety of disciplines. Professionally, she has worked in advanced analytics consulting at Nielsen for a couple of years where she comprehensively used R to conduct a range of data play and visualisations in order to deliver impact-oriented insights for Top FMCG clients across the South Asia region. She is currently pursuing a fellowship in Artificial Intelligence and Machine Learning and aims to make the next move in the social sector — using data for good! She also leads the R-Ladies Mumbai chapter, and regularly blogs about her explorations with data.
https://www.linkedin.com/in/manasi-mahadik-a66b26146/
@marvelsmanas @RladiesMumbai


Original Event on https://www.meetup.com/rladies-freiburg/events/275264690/
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