Beschreibung

Women in Data Science [WiDS] started as a conference at Stanford in November 2015. Now, WiDS includes a global conference, with approximately 200+ regional events worldwide; a datathon, encouraging participants to hone their skills using a social impact challenge; and a podcast, featuring leaders in the field talking about their work, their journeys, and lessons learned. 

WiDS aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. 

We are proud to bring the global WiDS  initiative to Carinthia [Austria] and support with our conference the WiDS 30×30 Mission

“Our mission is to change the field of data science across the globe by elevating and empowering women to achieve 30% representation in education, innovation and leadership by 2030.”

– WiDS worldwide

All data science enthusiasts, regardless of gender, are invited to join the next WiDS Villach conference, taking place April 25, 2024, to hear about the latest data science related research and applications in a broad set of domains, learn how leading-edge companies are using data science for success, and to connect with the local scene.

 

Inhalt

REGISTRATION, COFFEE & GET TOGETHER
8:00 am - 8:45 am

WELCOME & OPENING REMARKS
8:45 am - 9:00 am

TECHNICAL VISION TALKS – SESSION 1
9:00 am - 10:15 am

COFFEE BREAK
10:15 am - 10:45 am

INSIGHTS INTO GIRLS IN DATA SCIENCE (GiDS) ACTIVITIES
10:45 am - 11:10 am

TECHNICAL VISION TALKS – SESSION 2
11:10 am - 12:25 pm

CLOSING OF WiDS VILLACH 2024 - CONFERENCE PART
12:25 pm - 12:30 pm

WiDS VILLACH WORKSHOPS
2:00 pm - 5:00 pm

 

Besonderer Beitrag durch eine Partnerin im DIH SÜD:

Debora Stickler

Lecturer at University of Applied Sciences JOANNEUM, Graz

Technical Vision Talk: “Perspective is everything: a deeper look into skewed results”

The introduction of bias begins with how the data is collected and ends in the visualization of the results – there are countless examples of skewed results in real life Data Science applications. We will discuss how these mistakes were made, how you can spot and avoid them.  Take for example the claim that Tennis is the healthiest sport, is this true or was this idea introduced from biased data? We will take a closer look at very well-known perception phenomena in psychology and discuss them in context of Data Science.

 

Detailed information you can find on the website of Women in Data Science.

 

Ziele

Women are connecting in the field of Data Science.