Bridging physics research to real-life applications with data science at scientifyRESEARCH

Purpose and goal:

The project “Bridging physics research to real-life applications with data science at scientifyRESEARCH” is a collaboration between the company scientifyRESEARCH and the Marie Cure PhD scholar Smita Chakraborty. The project has two main goals. One, for the company, is to use scale the production of our research funding database with machine learning and natural language processing.

The second goal, for the candidate, is to provide the candidate with transferrable skills and experiences that can be easily recognized by industry in Sweden and beyond. Expected results and effects:

The project “Bridging physics research to real-life applications with data science at scientifyRESEARCH” reached its goals in that it formed the foundation for scientifyRESEARCH to scale its content production with machine learning and natural language processing techniques. For the candidate, the project provided Smita Chakraborty the opportunity to learn from a real-world expert in ML/NLP/AI.

Smita was immersed in Microsoft Azure as the development platform, another tool that is widely used in industry, and adds credentials to her employability in industry. Approach and implementation:

The project involved using python, ML/NLP to process a large dataset into a research funding database. The design and implementation of the project include: 1.Data Collection: Automate the process of retrieving data from a large national funder’s database. 2.Data Processing: XML file data are fed into a clean python data frame.

2.NLP: We tested several large language models and settled on using NLP from the OpenAI repository. 3.Data visualization: data are presented visually on the scientifyRESEARCH.org website as enriched funding information.