Women in Data Science Conference 2018

This annual one-day technical conference provides an opportunity to hear about the latest data science related to research and applications in a broad set of domains. All genders are invited to participate in the conference, which features exclusively female speakers.

Global WiDS Conference will be held at Stanford university, and at 100+ locations worldwide hosted by WiDS Ambassadors, and available via livestream.

WiDS Conference Taipei

This year, we are excited to launch the first WiDS Conference at Taipei. WiDS Taipei will take place on 25th March 2018. In addition to the conference, we partner with Girls in Tech Taiwan (part of Google Community Groups) to host 3 hands-on workshops for all levels of leaners to join and network. Data science is a collaborative effort and thus we welcome people of different backgrounds and experiences!

Date
Workshop 1: February 24, 2018
Workshop 2: March 3, 2018
Workshop 3: March 10, 2018
Conference: March 25, 2018

Venue
Syntrend Creative Park 11F
Star Rocket Event Space

All-In-One Pass: Sold Out

Speakers & Panelists

Hsiao-Wei Hu

Associate Professor of School of Big Data Management
Soochow University

Jane Yung-Jen Hsu

Professor of Department of Computer Science and Information Engineering
National Taiwan University

Ann Chen

Machine Learning Researcher
KKBOX

Zooey Chang

Software Engineer
Oath (Yahoo)

Kuo-Ning Huang

Director of Analytics & Data Science
LinkedIn

Pi-Chuan Chang

Senior Software Engineer
Google

Evelyn Peng

Risk Strategy Analyst
Uber Data Insight Team

Claire Tsao

Co-Founder
Cicadata

Chien-Yu Chen

Professor of Department of Bio-Industrial Mechatronics Engineering
National Taiwan University

Event Schedule & Registration

Machine learning 101

14:00-17:00
February 24, 2018

Workshop 1: Sold Out

Tensorflow for
absolute beginner

14:00-17:00
March 3, 2018

Workshop 2: Sold Out

Style Transfer
with TensorFlow

14:00-17:00
March 10, 2018

Workshop 3: Sold Out

Wids Taipei conference

9:00 - 17:45 (Full Schedule)
March 25, 2018

Conference: Sold Out

All-in-one pass

Want to join all of our events? Our All-in-One Pass really gives you everything in a single ticket and at a disount price! Please go to the conference registration page and select All-in-One when you register.

* WiDS Taipei also offers discounted student tickets.

2018 Conference Full Schedule

9:30 - 10:00

Welcome Adress & Opening Remarks

10:00 - 10:50

(Space A,B)

Artificial Intelligence at Google

Pi-Chuang Chang
Senior Software Engineer, Google

This talk will cover an introduction to artificial intelligence, machine learning, and deep learning. It will also provide an overview to various AI applications at Google, from products to other research areas such as genomics.

11:00 - 11:50

(Space A,B)

Drive Business Impact with Data

Kuo-Ning Huan
Director of Analytics, LinkedIn

An intro about LinkedIn, LinkedIn Analytics & Data Science team, and how we leverage the unique and rich data at LinkedIn to drive business strategies, optimize products, and create economic opportunity for every member of the global workforce.

Lunch Break

13:00 - 13:50

(Space A,B)

From Econ to Data Science

Evelyn Peng
Risk Strategy Analyst, Uber Data Insight Team

Evelyn will discuss her career path changing from econ, tech company to data science. What triggered her pursuing the enthusiasm for data and what brings her to Uber. Also, she will share some industry insights as a new member in data science who is at her early career stage. Fresh tips for working overseas, job hunting and interview experience as she just joined Uber three months ago.

14:00 - 14:50

(Space A)

Knowledge from Data for AI

Jane Yung-Jen Hsu
Professor of Department of Computer Science and Information Engineering, National Taiwan University

Recent successes in AI are largely due to the availability of scalable computing and massive amounts of labeled data. In this talk, I will review the debate between data-driven and knowledge-based AI, and propose approaches for getting the best of both worlds.

14:00 - 14:50

(Space B)

燒板子到燒腦子：從嵌入式系統到data science

Zooey Chang
Former Software Engineer, Oath (Yahoo!)

談一個雖然讀ＣＳ可是走硬體路線的人，如何從燒板子、焊電路、看邏輯電路與研究ＣＰＵ架構，到不小心誤入data science叢林，開始了茫然也硬著頭皮上的奇幻愛情故事（？）

Coffee Break

15:30 - 16:20

(Space A)

Recommendation and Personalization in our Music Streaming Service - machine learning and things beyond machine learning

Ann Chen
Machine Researcher, KKBox

The importance of machine learning techniques to a mature recommendation system has been highly highlighted already. Machine learning techniques is a necessary element for building recommendation and personalization. However, there are far more important things while introducing those techniques into a product. Despite machine learning techniques, there are also many other techniques required to develop a mature product. Despite techniques, there are a lot of things to be taken care of. We will share our experiences during this talk.

15:30 - 16:20

(Space B)

資料科學人才養成之數據天堂路

Hsiao-Wei Hu
Associate Professor of School of Big Data Management, Soochow University

這個時代的學習和過去很不一樣，有太多的新知識與新技術鋪山倒海的湧入，就像這幾年大家在談的IoT、Big Data、ML、AI、Blockchain，似乎沒有人能明確又清楚的告訴你那些是什麼? 它沒有教課書，也沒有結論，因為這一切都還在發展與演化當中，不過可以肯定的是，倘若我們仍舊以過去的學習態度和方法，要能夠跟上這個時代，掌握這些風口，肯定很困難。

這次的分享，就來和大家聊聊這兩年我們怎麼和國內外的企業合作，導入Capstone Projects，專門為培養資料科學人才而設計的數據天堂路計畫。最後，我想引用Ratatouille的經典台詞並稍做修改來鼓勵各個領域的朋友。

"Not everyone can become a great Data scientists, but a great Data scientists can come from anywhere."

16:30 - 17:20

Data Science Round-table + Networking

Panelists: Ann Chen, Zooey Chang, Jane Yung-Jen Hsu, Hsiao-Wei Hu, Claire Tsao, Chien-Yu Chen

17:30 - 17:45

Closing Remarks

Conference Videos

Speaker: Ann Chen, Machine Learning Researcher, KKBOX
Speech Title: Recommendation and Personalization in our Music Streaming Service - machine learning and things beyond machine learning

Speaker: Zooey Chang, Software Engineer, Oath (Yahoo!)
Speech Title: 燒板子到燒腦子 - 從嵌入式系統到 Data Science

Speaker: Haiso-Wei Hu, Associate Professor of School of Big Data Management, Soochow University
Speech Title: 資料科學人才養成之數據天堂路

Speaker: Jane Yung-Jen Hsu, Professor of Department of Computer Science and Information Engineering, National Taiwan University
Speech Title：Knowledge from Data for AI