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Integrated Knowledge Systems 

Assessment
Organizational Efficiency
Crowd Sourcings
Computational Linguistics

Assessment

Online testing plays an important role in organizations and academic contexts alike. To maximize efficiency, we offer applications computer adaptive testing (CAT) which cut testing time in half while maintaining precision. Also, we avoid revealing desirable answers (often prevalent in selection tests) by using a forced-choice approach. CAT and forced-choice are the cornerstone of our testing solutions. They are currently in use in applications with up to millions of test takers.

Organizational Efficiency

Process Mining (PM) is taking modern organizations by storm as it identifies of bottlenecks and operational inefficiencies. Starting from time-stamped observations, PM creates models that simulate the actual process and visualizes these as flow charts. Bottleneck detection can be performed online or offline, depending on clients’ needs. Examples include the optimization of loan applications, improving the efficiency of housing allocation, and identifying and correcting bottlenecks in hospital care.

Crowd Sourcings

Crowd sourcing can be a major contribution to organizational productivity. However, quality control is often difficult due to the anonymity of the virtual work situation. We have developed an approach that models workers, products, and performance indicators simultaneously and independently - thereby identifying whether operational aberrations are due to workers’ idiosyncrasies, ambiguous task requirements, or the nature of the work involved. Quality control can be real-time or batch oriented

Computational Linguistics

We have have pioneered new applications of computerized text analysis (e.g., sentiment analysis and essay grading) often using latent semantic analysis (LSI/LSA) or related methods. Applications range from the analysis of web advertisements to the scoring of students' essay-style answers on online tests. We have integrated LSI with Computer Adaptive Testing (CAT) - and completely analogous to multiple choice, essay questions are graded and used in real time during CAT.
rense lange

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 currently serves as a reviewer and member of the editorial board of several journals.

While teaching at the University of Illinois, Dr. Lange founded Integrated Knowledge Systems (IKS) which provides 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 25 years IKS has served clients in Canada, Malaysia, Portugal, and the USA. Currently IKS is currently expanding and a new office is being opened in Kuala Lumpur, Malaysia to serve as its’ East Asian center.

Dr. Lange heads the ISLA/CEIMOM Laboratory for Statistics and Computation in Vila Nova de Gaia - Porto (Portugal), which focusses on advanced assessment systems, machine learning, and process mining. ISLA aims to leverage the power of psychometrics, process mining, and machine learning to applications in banking, education, medicine, social media, and personnel selection.  

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