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IKS Rense Lange







    
        
            
                                IKS Rense Lange

            

            
                	
    
                
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            Integrated Knowledge Systems (IKS) focuses on the application of advanced analytic techniques and statistical modelling in new contexts and emerging industries.

In educational assessment this includes Computer Adaptive Testing (CAT) to achieve greater testing efficiency, as well as Automatic Essay Grading (AES) where students’ essays are graded by computer.

In a financial technology (FINTECH) context, the approach focuses on using psychographic data to provide loans to meritorious – but often under-served - groups like minorities or women that may lack an extensive credit history.

Central to IKS’ approach is the use of Machine Learning, often relying on the powers of Google’s TensorFlow or Keras.

Rense Lange
Following his undergraduate studies at the University of Groningen, the Netherlands, Rense Lange was awarded a Doctorate in Psychology and a Master's Degree in Computer Science from the University of Illinois at Urbana-Champaign, USA. He has published over 75 refereed papers, books, and chapters in the areas of computer science, econometrics, education, machine learning, medicine, psychology, psychiatry, and psychometrics, and serves as a reviewer and member of the editorial board of several journals. As well, he is an Honorary Fellow at the Malaysian Psychometric Association.

While teaching at the University of Illinois, Dr. Lange founded Integrated Knowledge Systems (IKS) to provide test administration, psychometrics and quality control services for medium and large scale clients, at the US state and district level, in educational assessment and personnel testing. Over the past years IKS has served clients in Canada, China, Malaysia, Mexico, Portugal, Spain, and the USA.

Additionally, Dr. Lange heads the ISLA Laboratory for Statistics and Computation in Vila Nova de Gaia - Porto (Portugal). At ISLA he aims to leverage the power of modern psychometrics, process mining, and machine learning to applications in banking, education, social media, and personnel selection. In conjunction with Global Psytech (located in Kuala Lumpur, Malaysia) - one of the world’s leading FINTECH startups - various projects are currently in progress.
    

    

    


                

                    
        
                     
                
        
    

    

        
        
                        
                            
                    
        

    

        
        
                        
                            
                    
        

    

        
        
                        
                            
                    
        

    

    


        
    

    
                
                
        

    
    
    
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