Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Lecture

EPFL DH Students Internship Report

Description

This lecture presents the internship report of EPFL Digital Humanities Master students, showcasing their work experience through various projects in the Philippines. The lecture covers topics such as data analysis, humanitarian access, and relief efforts.

Official source

Related concepts (4)

Data analysis

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.

Humanitarian aid

Humanitarian aid is material and logistic assistance to people who need help. It is usually short-term help until the long-term help by the government and other institutions replaces it. Among the people in need are the homeless, refugees, and victims of natural disasters, wars, and famines. Humanitarian relief efforts are provided for humanitarian purposes and include natural disasters and human-made disasters. The primary objective of humanitarian aid is to save lives, alleviate suffering, and maintain human dignity.

Humanitarian principles

There are a number of meanings for the term humanitarian. Here, humanitarian pertains to the practice of saving lives and alleviating suffering. It is usually related to emergency response (also called humanitarian response) whether in the case of a natural disaster or a man-made disaster such as war or other armed conflict. Humanitarian principles govern the way humanitarian response is carried out. Humanitarian principles are a set of principles that governs the way humanitarian response is carried out.

Exploratory data analysis

In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts traditional hypothesis testing. Exploratory data analysis has been promoted by John Tukey since 1970 to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments.

Related lectures (2)

Social Media: Impact and Challenges

Explores the impact and challenges of social media, including its role as a massive data source for machine learning and AI techniques.

Data Analysis to AI and ML, Social Media

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Related concepts (4)

Data analysis

Humanitarian aid

Humanitarian principles

Exploratory data analysis