Rosan International

La inteligencia artificial es una rama de la informática que busca crear sistemas y programas que puedan realizar tareas que normalmente requerirían inteligencia humana, como el aprendizaje, la resolución de problemas y la toma de decisiones. La IA se basa en algoritmos y modelos matemáticos que permiten a las máquinas aprender y mejorar su desempeño a medida que se les proporcionan más datos. Esto se logra a través de técnicas como el aprendizaje automático, el procesamiento del lenguaje natural y la visión por computadora. La IA tiene aplicaciones en una amplia variedad de campos, desde la atención médica hasta la fabricación y el comercio electrónico, y se espera que continúe siendo una tecnología disruptiva que cambie la forma en que vivimos y trabajamos en el futuro cercano.
18Oct

Top 5 ways to Spruce Up Your Qualitative Research Reports

In my 20 years of research experience I have seen all kinds of reports in all kinds of formats. Novel-length MS Word documents with page after page of text walls. Snazzy, custom-designed dashboards with interactive graphs and other bells and whistles. Narrative video reports supported...
17Oct

The Future of Qualitative Research

When GPT 3.5 was released in November 2022, I, like many others, thought: "Qualitative analysis has been solved." The ChatGPT interface was user-friendly, regardless of technical expertise, and its text generation and summarization capabilities seemed sufficient for most use cases. The launch of GPT 4...
16Oct

AI-Native Thematic Analysis with QualBot

What is Thematic Analysis? Thematic analysis (TA) is a qualitative research method used to systematically identify, analyze, and interpret patterns or themes within a data set. TA involves several steps, including the selection of key data elements, coding, theming, and interpretation, ultimately leading to the development...
Unit testing
04Abr

Bootstrapping Variance for Small Area Estimators

I was recently asked by some colleagues to demonstrate the usefulness of Multilevel Regression and Post-stratification (MRP) for small area estimation. I initially resorted to the classics (Gelman et al.), pointing out the efficiency of pooling data to estimate regressors across small areas, then applying...
Unit testing 2
Unit testing
14Feb

Unit Testing in R Using the ‘testthat’ Package

Have you ever wondered how to test if your functions are working correctly? Unit testing can be very helpful in such situations, ensuring the reliability and accuracy of your code. This practice is particularly useful when validating individual components or units of code, with the...
22Ene

Survey Data Anomaly Detection Using Cluster Analysis

Have you ever received a dataset for analysis, thinking it went through rigorous quality checks, only to spot some sneaky bad data? This is particularly true with online surveys, which tend to elicit invalid response patterns such as straight-lining, i.e. selecting the same answer for...
28Dic

AI Model Integration and Validation via Expert Crowdsourcing

Introduction Historically, the social sciences have been dominated by the development of theories. However, as noted by scholars like Watts (2017) and Kelley (1927), this has led to a clutter of competing theories, giving rise to an 'incoherency problem.' This situation is compounded by measurement challenges...
14Dic

Dynamic Strategy Selection in Constrained Optimization Problems

Human-Autonomy Teaming (HAT) offers significant potential to enhance complex operations by combining the strengths of autonomous agents with human operators. This collaboration, particularly in high-stakes environments like Urban Search and Rescue (USAR), can enhance performance by reducing workload, improving decision-making, and facilitating information sharing. However,...
03Oct

Frame Differencing Motion Detection Algorithm for Android

Video classification models, especially deep learning models, can be computationally intensive. Running such models on mobile devices, particularly for real-time applications on the edge like our award-winning seizure detection model, may lead to overheating and suboptimal performance. In fact, recent tests with our typically zippy Samsung...