Workshop: Decision Science & Data Science

詳細

Machine learning techniques have significantly shortened the distance between customers and service and product providers in recent years. In fact, this is one of the driving forces of the new industrial revolution going on around the world. For example, the machine learning and big statistical/data techniques have enabled the direct input from customers and the immediate responses and implementations of suggested customer needs. In this workshop, with the combinations of a Decision Science approach, we would like to further advance and expand this customer/human-centered approach of machine learning.

📌 WORKSHOP

After an introductory presentation, the teams will have the chance to brainstorm ideas, tasks, resources (such as data, financial, human resources), infrastructure, etc. to solve a customer-centric business problem. The goal of this workshop is to develop an understanding of technical and non-technical requirements for a full-cycle business case involving decision and data science. Therefore, this workshop is for Software engineers, ML engineers, data scientists, product and project managers, students and researchers alike. As a byproduct, this workshop will strengthen your communication skills based on multi-disciplinary, collaborative teamwork.

📌 REGISTER FOR THE EVENT

The workshop is free of charge. We'll conclude the event with a networking session, pizza and drinks. Register for the workshop here: https://forms.gle/fe4TZBsxE6SELUyU8

📌 SCHEDULE

● 1:00 pm Doors open
● 1:30 am - 2:30 pm Rei Akaishi (Social Value Decision Making Unit, RIKEN CBS-Toyota Collaboration Center)
"Machine Learning with Human-Centered Approach with Decision Science"
● 2:30 pm - 2:45 pm Challenge for teams
● 2:45 pm - 3:00 pm Coffee break/Team building
● 3:00 pm - 5:00 pm Team work, working on projects
● 5:00 pm - 6:00 pm Project presentations & Discussion
● 6:00 pm - 7:00 pm Wrap up, dinner, networking

–– SPEAKER INFO ––
Rei Akaishi obtained his PhD from Graduate School of Medicine, the University of Tokyo. He did his post-doctoral jobs in University of Oxford, Tokyo Metropolitan Institute of Medical Science, University of Rochester, Center for Information and Neural Networks and conducted research projects on decision making of humans and animals. He is currently a Unit Leader in RIKEN Center for Brain Science. https://www.riken.jp/en/research/labs/cbs/riken_toyota/soc_val_decision_making_collab

💙 –– THANK YOU ––
A big Thank You goes out to Mistletoe of Tokyo for having us at their beautiful space. https://mistletoe.tokyo/

–– MLT PATRON ––
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–– RECRUITING ––
MLT events are for community building and knowledge sharing. We politely ask that company representatives, recruiters and consultants looking to hire or sell their services do not come to this event.

–– CODE OF CONDUCT ––
MLT promotes an inclusive environment that values integrity, openness and respect. https://github.com/Machine-Learning-Tokyo/MLT_starterkit