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MASTERCLASSES (16 November 2023)

Qualitative Research
  • Demonstrate an understanding of the philosophy behind qualitative research  

  • Examine the range of techniques and methods for qualitative research, such as the basics of thematic analysis, NVivo and more            

  • Recognize challenges in publishing qualitative work and thereby ensuring robustness in design   

Fundamentals and Applications of STATA
  • Learning the basic syntax – commands and operators, variable and data-types, file formats in STATA,

  • Understanding the commands for descriptive and exploratory analysis (describe, list, summarize, tabulate)            

  • Create and modify variables, handle missing values, merge files, learning graphics – scatter, box-plot, histogram, basics of STATA programming - loops, local and global variables

  • Analysing data using regression and hypothesis testing  

Experimental Design
  • Approach complex industrial and business research problems and address them through a rigorous, methodologically sound design of experiments.    

  • Use modern software to plan experiments effectively.     

  • Analyze the resulting data of an experiment, and communicate the results effectively to decision-makers.

Concepts and Methodologies in Network Science 
  • Foundation of social network concepts 

  • Methods and models used in network science

  • Relevance of the models in management research and industry 

  • Addressing the pressing issues in the research frontiers​

AI & ML for Decision Making
  • Overview of machine learning and deep learning algorithms, model selection and validation             

  • ML/DL Ops workflow, overview of teachable machines and generative AI 

  • Applications of ML/AI techniques in business and public policy

Bibliometric Analysis
  • Introduction to Bibliometric analysis – performance analysis and science mapping

  • Overview of different metrics to rank authors, papers and journals

  • Leveraging Network Analysis – difference between directed and undirected networks, modeling a citation and a collaboration network.

  • Hands on session – demo on a curated dataset for bibliometric analysis using appropriate software (VOSViewer, Bibliometrix, SCIMAT)

  • Epilogue: Beyond performance analysis – getting advanced insights from data

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