Women in Data Science (WiDS) Budapest Conference

Type: 
Conference
Audience: 
Open to the Public
Building: 
Nador u. 15
Room: 
Auditorium
Monday, March 4, 2019 - 6:00pm
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Date: 
Monday, March 4, 2019 - 6:00pm to 10:00pm

PLEASE NOTE THAT THIS EVENT IS SOLD OUT. However, you can follow the event via livestream: https://videosquare.ceu.edu/en/live/details/369,Women_in_Data_Science_WiDS_Budapest_Conference

WiDS aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. WiDS started as a conference at Stanford in 2015. Now, WiDS includes a global conference, with 150+ regional events worldwide.

On March 4, 2019, Budapest is joining the international conference. Our program contains 4 talks by data scientists and a panel discussion with women in data science about the present and the future of the field. It is planned that the Hungarian conference will be connected online with the one at Stanford. After the panel, we would like to invite all participants for a short networking event sponsored by SAP, Starschema, and Blackrock.

The event is free, but registration is required on Eventbrite.

You can find and share this event on Facebook.

Conference Program

18:00 - SNACKS & REGISTRATION

18:30 - WELCOME & OPENING REMARKS

Orsolya Vásárhelyi, PhD Candidate, CEU, Department of Network and Data Science

18:35 - KEYNOTE New Faces of Bias in Online Labor Markets

Anikó Hannák, Assistant Professor, Vienna University of Economics and Business & Complexity Science Hub

19:00 - Opening Remarks at Stanford University

Livestream

TECHNOLOGY VISION TALKS

19:10 - Income Distribution Inequalities in Ride-sharing Services

Eszter Bokányi, PhD Candidate, ELTE / MTA

19:35 - Text Mining Challenges in Practice - Hungarian Language Sources

Evelin Mészáros, Analyst, Clementine

20:00: - When Data Science Meets Product Development

Julianna Göblös-Szabó, Data Engineer, Skyscanner

PANEL DISCUSSION

20:30 The Future of Data Science in Hungary from the Perspective of Women

Moderator: Júlia Koltai, ELTE / MTA

Panelists

Melinda Lontay, Product Owner, SAP
Beáta Nagy, Professor, BCE
Renáta Németh, Professor, ELTE
Anna Vancsó, Lead Analyst, Neticle
Eszter Windhager-Pokol, Head of Data Science, Starschema

21:00 NETWORKING RECEPTION in N13 Lobby

Sponsored by Blackrock, SAP and Starschema.