Women in Data Science (WiDS) Budapest Conference
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.
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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
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
20:30 The Future of Data Science in Hungary from the Perspective of Women
Moderator: Júlia Koltai, ELTE / MTA
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.