[ONLINE] Women in Data Science NYC @ IBM

IBM Developer New York
IBM Developer New York
Public group

IBM Webinar (Online)

51 Astor Place Webinar · New York, ny

How to find us

*** Register via https://www.crowdcast.io/e/women-in-data-science Chrome browser is recommended ***

Location image of event venue

Details

*** Register via https://www.crowdcast.io/e/women-in-data-science Chrome browser is recommended ***

For the second year in a row IBM Developer is proud to collaborate with Stanford University to bring you the Women in Data Science (WiDS) mini digital conference. The Global WiDS Conference aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field.

This year IBM Developer plans to host an evening that features an all-female lineup of speakers from research and industry to talk about the latest data science-related research in a number of domains. In addition, attendees will have the opportunity to learn how leading-edge companies are using data science for success and connect with potential mentors and collaborators in the field.

WiDS NYC @ IBM is an independent event organized by the IBM Developer NYC team to coincide with the annual Global Women in Data Science (WiDS) Conference held at Stanford University. All genders are invited to attend WiDS regional events, which features outstanding women doing outstanding work.

*** Register via https://www.crowdcast.io/e/women-in-data-science Chrome browser is recommended ***

Some of our SPEAKERS include...

Alison Pearson – Data Scientist and Client Advocate
Talk Title: “What do I do with this?": Making Data Science Actionable

Zahra Ashktorab – IBM Research Staff Member, Emergent Technology Research & Design
Talk Title: Gamifying the latest artificial intelligence research

Ashley Scott – Data Analyst - Albert Einstein College of Medicine
Talk Title: Changing the Face of Medicine: How Data is Improving Medical Education

Emily Chu – Senior Visual Product Designer - Kinesso, Parsons School of Design
Talk Title: Visualizing shared musical experiences

Noeliz Lee – Risk Manager, The New York City Department of Environmental Protection
Talk Title: Data and Risk Management Impacts

Kaoutar El Maghraoui – Principal Research Staff Member, AI Engineering, IBM Research AI
Talk Title: Now and the Future of Accelerating AI, a view from IBM Research

WHO SHOULD ATTEND?

The event is open to everyone, regardless of gender, who is interested in engaging with and learning from the local data science community.
Whether you are an experienced data scientist or looking to learn more about the field, WiDS NYC @IBM will have great content and opportunities to connect.

AGENDA

6:00 pm – Kickoff to Virtual Mini Conf
6:15-8:15 pm – Presentations from our speakers
8:15-8:30 pm – Final Q&A

Get ready to put some of the ideas your learn into action by starting an IBM Cloud account via https://ibm.biz/BdqFn7

*** Register via https://www.crowdcast.io/e/women-in-data-science Chrome browser is recommended ***