Women in Data Science (WiDS) Budapest Conference

Conference

Monday, March 4, 2019, 6:00 pm – 10:00 pm

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.

Attachment:

widsagenda3101_3.pdf

Monday, March 4, 2019 - 5:00PM - Monday, March 4, 2019 - 9:00PM Add to Calendar 2019-03-04 17:00:00 2019-03-04 21:00:00 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. 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, SAPBeáta Nagy, Professor, BCERenáta Németh, Professor, ELTEAnna Vancsó, Lead Analyst, NeticleEszter Windhager-Pokol, Head of Data Science, Starschema 21:00 NETWORKING RECEPTION in N13 Lobby Sponsored by Blackrock, SAP and Starschema. UTC public

Monday

March

2019

6:00PM

Budapest Site

Nador u. 15

Host

Department of Network and Data Science

Audience

Public

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