Artificial intelligence and data analysis for digital transformation
Ongoing umbrella project focused on applying artificial intelligence, machine learning, natural language processing, and data analysis to digital transformation initiatives.
Overview
Ongoing project. Period: 2021-Present.
This project brings together research and development in artificial intelligence, data analysis, and digital transformation, focusing on solutions applied to academic, scientific, educational, and institutional environments. The initiative organizes a line of work that connects analytical models, machine learning, natural language processing, data curation, evidence-based decision-making, and digital process automation.
At CEDIS, this front relates to specific projects and products, including platforms for systematic reviews, scientific information analysis, academic indicators, and data-oriented digital services.
General data
| Field | Information |
|---|---|
| Status | Ongoing |
| Start year | 2021 |
| End year | Ongoing |
| Coordination | Prof. Sergio Antonio Andrade de Freitas |
| Nature | Research, development, and innovation in artificial intelligence, data analysis, and digital transformation |
| Executing institution | University of Brasilia |
| Unit | Faculty of Sciences and Technologies in Engineering |
| Research institution-company cooperation | Not informed in the project record |
| Innovation potential | Evidenced by systems for academic management, chatbots, automated categorization of scientific texts, dropout analysis, and academic resource scheduling |
Objectives
The main objectives are to:
- investigate AI and data analysis methods applicable to real digital transformation problems;
- develop solutions that support curation, classification, prediction, recommendation, and information analysis;
- integrate machine learning and natural language processing techniques into CEDIS digital products; and
- support institutional and academic decisions with structured, traceable, and reusable evidence.
Related fronts
Connected fronts include:
- academic monitoring and institutional indicators, including SAGA , MAGRA , and Apoio Estudantil FCTE ;
- prediction and analytical support with machine learning, as in Euploidy Prediction ; and
- automation, classification, prediction, and decision support in academic, institutional, and specialized contexts.
Team
| Researcher | Role |
|---|---|
| Sergio Antonio Andrade de Freitas | Coordinator |
| George Marsicano | Researcher |
| André Luiz Peron Martins Lanna | Researcher |
Related outputs and products
Linked C&T production
| Year | Output | Type |
|---|---|---|
| 2024 | The impact of artificial intelligence on science | Event participation |
| 2024 | Panel on Techniques and Tools for Scientific Information Analysis and Treatment | Event participation |
| 2024 | Learning Indicators as Tools for Continuous Improvement in the Educational Environment | Conference paper |
| 2024 | A CP-SAT Approach for Academic Resource Timetabling in Higher Education Institutions: A Case Study at a Major Public University | Conference paper |
| 2024 | Academic Resource Scheduling System (SARA) | Software |
| 2024 | AI-dvogado - Multimodal chatbot system for labor-law consulting | Software |
| 2024 | Contextus - System for automated categorization of scientific texts | Software |
| 2023 | A Systematic Review of the Factors that Impact the Prediction of Retention and Dropout in Higher Education | Conference paper |
| 2023 | Undergraduate Analysis Model (MAGRA) | Software |
| 2021 | Academic Monitoring and Management Support System - SAGA | Software |
Linked supervision
| Year | Supervision | Type |
|---|---|---|
| 2024 | Academic resource scheduling in Higher Education Institutions: Case study at the University of Brasilia | Master’s thesis |
| 2024 | Use of Large Language Models in the development of a multimodal chatbot for labor-law consulting | Undergraduate capstone project |
| 2023 | Prediction of academic dropout in higher education: The case of in-person undergraduate programs at the University of Brasilia | Master’s thesis |
| 2023 | SAMI: System for analysis of learning indicator metrics | Undergraduate capstone project |
| 2023 | Latte: A Gamified Chatbot to Support Scientific Article Writing | Undergraduate capstone project |
| 2022 | Identification of factors affecting dropout in Higher Education | Undergraduate capstone project |
| 2022 | BRCris Project: Dashboards for data visualization | Undergraduate research |
| 2022 | BRCris Project: Using the LDA algorithm to identify research topics | Undergraduate research |
Latest news about this project
CEDIS presents Evidentia Review for systematic literature reviews
Evidentia Review, software developed by CEDIS, helps research teams plan, conduct, and report systematic literature reviews with audit trails and reproducible reports.