Category: data science

Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Data

by Marco Brambilla, posted in big data, data science, event, experience, Machine Learning / AI

Large manufacturing companies in mission-critical sectors like aerospace, healthcare, and defense, typically design, develop, integrate, verify, and validate products characterized by high complexity and low volume. They carefully document all phases for each product but analyses across products are challenging due to the heterogeneity and unstructured nature of the data in documents. In our research, … Continue reading Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Data

Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-Making

by Marco Brambilla, posted in data science

Digitally-supported participatory methods are often used in policy-making to develop inclusive policies by collecting and integrating citizen's opinions. However, these methods fail to capture the complexity and nuances in citizen's needs, i.e., citizens are generally unaware of other's needs, perspectives, and experiences. Consequently, policies developed with this underlying gap tend to overlook the alignment of … Continue reading Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-Making

Discovering Hidden Communication Patterns and Informal Organization in Companies through Graph Analysis

by Marco Brambilla, posted in big data, data science, event, social network, social network analysis

In this study, we present a comprehensive framework for capturing, processing, and analyzing large-scale digital communication data to uncover hidden informal communication patterns within a real-world corporate environment. We run our study on a unique dataset of 40.425.247 email messages exchanged within a banking company, spanning a two-year period. Based on this information, we construct … Continue reading Discovering Hidden Communication Patterns and Informal Organization in Companies through Graph Analysis

Exploring the bi-verse: a trip across the digital and physical ecospheres

by Marco Brambilla, posted in big data, data science, event, IoT, smartcity, social network, social network analysis

I've been invited to give a keynote talk at the WISE 2022 Conference. Thinking about it, I decided to focus on my idea of a bi-verse. To me, the bi-verse is the duality between the physical and digital worlds. On one side, the Web and social media are the environments where people post their content, … Continue reading Exploring the bi-verse: a trip across the digital and physical ecospheres

The VaccinEU dataset of COVID-19 Vaccine Conversations on Twitter in French, German, and Italian

by Marco Brambilla, posted in big data, data science, social network, social network analysis, social science

Despite the increasing limitations for unvaccinated people, in many European countries, there is still a non-negligible fraction of individuals who refuse to get vaccinated against SARS-CoV-2, undermining governmental efforts to eradicate the virus. Within the PERISCOPE project, we studied the role of online social media in influencing individuals' opinions about getting vaccinated by designing a … Continue reading The VaccinEU dataset of COVID-19 Vaccine Conversations on Twitter in French, German, and Italian

EXP-Crowd: Gamified Crowdsourcing for AI Explainability

by Marco Brambilla, posted in big data, data science

The spread of AI and black-box machine learning models makes it necessary to explain their behavior. Consequently, the research field of Explainable AI was born. The main objective of an Explainable AI system is to be understood by a human as the final beneficiary of the model. In our research we just published on Frontiers … Continue reading EXP-Crowd: Gamified Crowdsourcing for AI Explainability