March 8, 2018

The Oslo chapter of the Global Women in Data Science Conference will take place on March 8, 2018 at the University of Oslo (UiO)


ABOUT WiDS

The Global Women in Data Science (WiDS) Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual conference is held at Stanford University and 100+ locations worldwide, hosted by WiDS Ambassadors.


WiDS OSLO CONFERENCE - WHAT TO EXPECT

Talks from local speakers from academia and the industry. Live introductory workshop on applying machine learning to detect anomalies in real data. Opportunity to network with the local data science community and leadership. Stream of Stanford Keynote Speakers with drinks and networking.


WHO SHOULD ATTEND?

The conference is open to everyone, regardless of gender, who is interested in engaging with and learning from the local data science community.

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SCHEDULE


Anomaly Detection Workshop, hosted by Arundo Analytics
Time: 9 am - 12 pm Location: Informatikkbiblioteket, 1. floor, Ole Johan Dahls hus
There are a limited number of available spots for the workshop - when capacity has been reached, you will be placed on a waiting list.

In this workshop, we will start with a discussion of anomaly detection algorithms for different use cases and then dive in to a use case of fraud detection in an oil distribution network. The goal is to use sensor data to identify and predict some frauds such as leakages or bypasses. You will be training models on historic data and have the opportunity to test your data. This is an opportunity to familiarize yourself with end to end unsupervised Machine Learning in a production environment. There will be prizes for the best models!

Prerequisites:
- Intermediate level in ML and Data science
- Working knowledge in open source Python machine learning libraries is preferred, but R and Matlab users welcome
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No business knowledge or expertise required

Lunch for workshop participants
Time: 12 pm - 1 pm

Speakers from the industry sharing their experiences working within data science and applying machine learning to varied industries
Time: 1 pm - 3:15 pm Location: Escape, Ole Johan Dahls hus

Introduction & Welcome by Heidi Dahl

Digital Intelligence and Deep Learning for the Energy Sector - Lasya Kotu & Huyen Vu, eSmart Systems

Using data science to improve public health in developing countries
- Kristin Braa, UiO

1:55 pm- 2:15 pm: Coffee break

Preparing for the transition:
Data Science as a Student vs. in Industry - Ning Zhou, Schibsted Media Group

How to Avoid your DPA’s Most Wanted List - Hoda Amel, TACTIC Real-time Marketing

Turning Big Data into Big Insight
- Kjersti Aas, Norsk Regnesentral

“Data after Dark”: stream of Stanford WiDS keynotes with drinks and networking
Time: 3:15 pm - 5:15 pm Location: Informatikkbiblioteket, 1. floor, Ole Johan Dahls hus






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SPEAKERS

We are proud to announce some of our speakers:


Ellie Dobson
VP of Data Science at Arundo

Hoda Amel Abdalla
COO at TACTIC Real-Time Marketing

Lasya Priya Kotu
Data Scientist at eSmart Systems

Huyen Vu
Data Scientist at eSmart Systems

Kristin Hornæs
Data Scientist at Arundo

Kjersti Aas
Assistant Research Director at Norsk Regnesentral

Ning Zhou
Product Manager Lead at Schibsted Media Group

Kristin Braa
Vice Head at Department of Informatics, UiO
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CONTACT

Please contact Alexandra Gunderson or Heidi Dahl for any enquires.

Alexandra: alexandra@wids-oslo.org

Heidi: heidi@wids-oslo.org


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WiDS Oslo Conference 2018