Informational challenges for the study of Science, Technology and Society relationships.- The Disinformation Society.- Overview of Citizen Science projects contemplated in the Civis Platform.- National Registry of Scientific Data Management Plans by IBICT.- Collection and Integration of Patent Data for Analysis and Validation of Brazilian Technical Production.- Publications in Scientific Events as a Data Source for Scientometric Analysis.- Publications in Open Access Journals: A Bibliometric Analysis.- Scientific divulgation before the post-truth and the crisis of credibility of science in the context of Digital Humanities.- Workflow with emphasis in technologies for the construction of an aggregator and a dashboard of Brazilian museums digital collections.- Concept Maps as a Support for Learning: A Proposal from the Consent for the Processing of Personal Data in Private Organizations.- Effect of Network Embedding on the Performance of Chinese Venture Capital Institutions: Mediatory Role of Organizational Learning.- Advances in Artificial Intelligence for data processing and analysis in online social environments.- Contributions and Limitations about the use of Deep Learning for Skin Diagnosis: A review.- An Expanded Study of the Application of Deep LearningModels in Energy Consumption Prediction.- Application and evaluation of a taxonomy in the context of software requirements management.- Assessment of Heart Patients Dataset Through Regression and Classification Algorithms.- Classification model based on chatbot and unsupervised algorithms to determine psychological intervention programs in Peruvian university students.- Comparison of Algorithms for Classification of Financial Intelligence Reports.- Natural language processing of messages from a socialnetwork for inflation analysis.- Mining Association Rules in Commuter Feedback Comments from Facebook of Swiss National Railways (SBB) using Apriori Algorithm.- Enhancement of voting scores with multiple attributes based on VoteRank++ to identify influential nodes in social networks.- Identification of the relationships between Data Provenance and Blockchain as a contributing factor for Health Information Systems.
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