Pick up(MS or Semester project) Social media and crowdsourcing for social good
The student will contribute to a multidisciplinary initiative for the use of social media and mobile crowdsourcing for social good. Several projects are available. Specific topics include:
* Social media analytics
* Visualization of social and crowdsourced data
* Smartphone apps for mobile crowdsourcing
Students will be working with social computing researchers studying European and developing cities.
Contact: Prof. Daniel Gatica-Perez [email protected]
(MS or Semester project) A human-centered approach to understand local news consumption
Project Summary: The goal of the project is the design and implementation a framework to study the consumption of local news in the Swiss multicultural context. The project will include a combination of research methods for experimental design and data analysis, and will be done in the context of the AI4Media European project (A European Excellence Center for Media, Society, and Democracy). The main tasks of the project include: literature review; identification of local news sources; mixed-method experimental design; experiments and data analysis; and writing.
Contact: Prof. Daniel Gatica-Perez
(MS or Semester project) Swiss Alpine Lakes & Citizen Science
Project Summary: A new project in the context of the CLIMACT UNIL-EPFL initiative has the ambition of cataloging all Swiss Alpine Lakes (located above 2000 meters), including collection of water samples and in-depth analysis of their microbial diversity, with a citizen science approach to engage citizens in science and increase awareness of environmental conservation. The master’s project will design a framework that uses existing crowdsourced resources (e.g., Wikipedia) and computer vision, NLP, and visualization to build and validate a prototype of an interactive system that can be used as part of citizen science activities.
Contact: Prof. Daniel Gatica-Perez
(MS or Semester project) Privacy-preserving machine learning methods for diversity-aware mobile computing
Project Summary: The goal of the project is to study privacy-preserving machine methods in the context of mobile, diversity-aware computing systems that support the local needs of communities. The project will include work in machine learning, mobile data analysis, and will be done in the context of the multidisciplinary WeNet European project. The main tasks of the project include: literature review; algorithm design and implementation; experiments and data analysis; and writing.
Contact: Prof. Daniel Gatica-Perez
(MS or Semester project) A FATE framework for diversity-aware mobile computing
Project Summary: This project will study and propose a methodology to characterize and validate machine learning methods in the context of diversity-aware mobile computing from the FATE perspective (fairness, accountability, transparency, ethics.) Recent approaches include Google’s model cards for model reporting or Microsoft’s Guidelines for Human-AI interaction. The project will provide a set of best practices for this domain. The main tasks of the project include: literature review; method design and implementation; experiments and data analysis; and writing.
Contact: Prof. Daniel Gatica-Perez
(MS or Semester project) The European AI Act and its impact on European cities
Project Summary: The April 2021 proposal by the European Commission on AI regulation (The AI Act) will impact many sectors of the economy and have important societal implications. This project will study this proposal, analyze its possible effects on how European cities use AI as part of their mission, and make recommendations for the future. The project will be done in the context of the multidisciplinary ICARUS European project, which involve a number of actors in cities and non-governmental organizations. The main tasks of the project include: literature review; conceptual analysis; data collection; data analysis, and writing.
Contact: Prof. Daniel Gatica-Perez
(MS or Semester project) Robot Learning and Interaction
The Robot Learning and Interaction Group proposes various Master and Semester projects with topics related to robotics, machine learning, adaptive control and human-robot interaction.
The list of projects is available here.
Supervisor: Dr Sylvain Calinon ([email protected])
Keywords: robotics, machine learning, adaptive control, human-robot interaction
(MS or Semester project) Human-Robot Interfaces for Interactive Robot Programming
(MS or Semester project) 6D Pose Estimation for Robotic Manipulation Tasks
Advisors and point of contact: Anshul Gupta (research assistant, [email protected]), Dr. Mattia Racca