The International Workshop on Equitable Data and Technology, co-located with ICSE’22. Let's find a way to build fairer, more equitable, data-driven software!
#fairware22
Joined December 2021
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Fairware'22 retweeted
🚨 CfP alert! 🚨
What do you know that the SE community should know about developing and disseminating equitable technology?
Share your insights by submitting to our special issue on "Equitable Data and Technology" in the @emsejournal!
More info ➡️ go.gmu.edu/equitableDataAndT…
AI for fair job search! @fairware22, @ICSEconf
Making Recruitment More Inclusive: Unfairness monitoring for a job matching machine learning algorithm
Sebastien Delecraz, Loukman Eltarr, Martin Becuwe, Henri Bouxin, Nicolas Boutin, and Olivier Oullier
Fariness! Democracy! Citizenship! Read all about it at @Fairware22 and @ICSEconf
Detecting Obstacles to Collaboration in an Online Participatory Democracy Platform: A Use-case Driven Analysis. W. Aboucava, R. Angarita, and W. Issamy
pre-print: hal.inria.fr/hal-03654027/do…
Next at @Fairware22! Our Lunch and Learn keynote. Dr. Angela D.R. Smith: Centering the Margins: An inquiry into equity, justice, and society #icse2022 @fairware22
home page: angeladrsmith.com/
Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness
Max Hort and Federica Sarro
Handling continuous fairness is hard! Let Max show you how to do it!
pre-print solar.cs.ucl.ac.uk/pdf/hort2…
#ICSE2022 @fairware20
Fair Decision Making via Automated Repair of Decision Trees. Zhang Jiang, Ivan Beschastnikh, Sergey Mechtaev, and Abhik Roychoudhury
Decision trees being unfair? We can fix that!
Fair-SSL: Building fair ML Software with less data
Joymallya Chakraborty, Suvodep Majumder, and Huy Tu. How to fix classifiers... root cause analysis!
Our first paper session has started! This session focuses on the fairness of software and algorithms.
Fairware has just started! Right now Marc Canellas, Bruce Hedin, and Jeanna Matthews are presenting a fantastic panel on automated decision-making systems.
Exciting program at FAIRWARE'22 (Int. Workshop on Equitable Data & Technology, at #icse2022). Come help us build fairer, more equitable, data-driven software!
fairwares.github.io/
Fairware'22 retweeted
Another week to write?! Yes please!
The workshops deadline has been extended, which means more time to polish your submissions (or write about something completely new).
So what’re you staring at my tweet for?? Go forth and publish!
The #Fairware22 deadline has been extended to January 21, 2022.
Last minute idea that you wanna write about? Now there’s time to do it!
The #Fairware22 deadline has been extended to January 21, 2022.
Last minute idea that you wanna write about? Now there’s time to do it!
***ALERT*** #ICSE22 workshops submissions deadline extended: January 21, 2022
IMPORTANT DATES (for all workshops)
- Papers Submission Deadline: 21 January 2022
- Acceptance Notification: 25 February 2022
- Camera Ready: 18 March 2022
More details on conf.researchr.org/home/icse…
@Fairware22 submissions are due SOON (Jan14). Society now demands that its software be fairer and more equitable. What are you going to do about it? fairwares.github.io/
Do you work on software fairness or technological equity? Then submit to @Fairware22! Our keynote, Dr. Angela Smith, will discuss "Centering the Margins: An inquiry into equity, justice, & society". Papers due Jan 14. For more details, see fairwares.github.io/
Fairware'22 retweeted
Are you working in the area of software fairness or technological equity? Consider submitting your work to @Fairware22 (fairwares.github.io/). This year we are especially interested in interdisciplinary & non-technical contributions!
Fairware'22 retweeted
Submission Due Jan14. Many fairness issues are often sociological in nature. So @Fairware22 welcome commentaries from inside AND outside of ComSci. Get writing!
Fairware'22 is the workshop that brings together researchers and practitioners to find ways to build fairer, more equitable, data-driven software.
Visit our website at fairwares.github.io/ to know more. All contributions are welcome!
Are you interested in the topic of technological equality and fairness, but you want to know more?
Then we recommend reading "Fairness Testing: Testing Software for Discrimination" by Galhotra, Brun, and Meilou; one of the key defining papers in the field.
See you in #fairware22