WPI Nano Life Science Institute, Kanazawa University

WPI-NanoLSI Special Computational Workshop on Digital Solutions on Feb. 8, 2023

Overview

Digital data management, advanced analysis, and machine learning

 Modern research efforts benefit from a rapidly increasing ability to generate a wealth of experimental and modelling data. Recent developments in data science, machine learning, and automation provide powerful opportunities to leverage this research data. To use scientific data as a resource beyond its initial publication, database infrastructures and digital workflows must be established to collect, store, organise and analyse the data, with records of how it was produced, and how it was processed or transformed afterwards. Good management of research data is of critical importance to knowledge-led discovery and innovation, and is increasingly embedded in the requirements of research journals and funding bodies. It is a prerequisite step in the application of data science and machine learning techniques in research. In this workshop, we highlight some examples of modern data management and discuss case studies involving the application of machine learning to scientific data. Emphasis is placed on applications to Scanning Probe Microscopy (SPM) in general and Atomic Force Microscopy (AFM) in particular.

Date & Time

Wednesday, February 8, 2023     9:30 am – 4:30 pm

Organizer

Dr. Damien Hall, Computational Science, Nano Life Science Institute (WPI-NanoLSI)

Event format

Hybrid (In person & Online)
– Venue: Main Conference Room, 4th floor of NanoLSI bldg.
Access

– Online: Zoom link will be provided

Attendance Fee

Free

Language

English

Registration——-Registration has been closed. From now on, we’ll accept on-site participation only. Please come to the venue directly on the day without registration.

 

 

 

*Registration deadline: 10:00 am of February 6

Program (JST)

February 8th – Wednesday 9:30am – 12:30pm

Adam Foster: Workshop overview, digital workflows, open data, advanced analysis

David Gao: Introduction to digital data and machine learning tools

Filippo Canova: Highly optimized data management tools

 

February 8th – Wednesday 1:30pm – 4:30 pm

Adam Foster: Advanced analysis of AFM images

Niko Oinonen: Disease recognition from AFM adhesion measurements

Damien Hall: Computational AFM tools for biophysical measurements of dynamic surfaces

 

Booklet

PDF

Host

Nano Life Science Institute, Kanazawa University

 

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