Research Seminars Archives >> 

February

February,22nd 

10:30-12:30

Room 55.309

Course (6 hours: 9th, 15th and 22nd of February) 

Phd Seminar : Statistical course and Design of Experiments

By Simone Tassani

The course of statistics aims to introduce a number of tools for master/Ph.D. students and post docs. The presented tools will play a role in planning many kind of studies, properly analyse the results and understand if data analysed by other researchers are or not reliable.

Monofactorial and multifactorial analysis will be presented, together with the definition of Type I and Type II error, multiple comparison errors and tests for multiple comparison.

In the case of multifactorial analysis, the concept of interaction among the factors will also be presented and how to use interaction as estimator of the error in absence of repetitions.

This will lead to the presentation of some examples of Design of Experiment (Latin and Greek-Latin squares) for the reduction of the number of experiments.

February,22nd 

15:30

Room 55.309

Phd Research Seminar

Ethical issues and data protection, CIREP-UPF.

By  Silvia Losa & Josep Blat
 

Abstract

CIREP-UPF (Internal Committee for the Ethical Review of Projects) aims at improving ethical standards and personal data protection in research and academic practices related to human beings, within the UPF community. The first review of a research project by CIREP took place about two years ago.

During this session the basic concepts on both issues, ethics and personal data protection, will be introduced through practical examples. Moreover, it will be discussed how to submit project(s) (proposals) to CIREP for ethics evaluation and approval. The session can be considered as a preparation to submit a proposal on the PhD research and/or acting as a reviewer of such a proposal.

March, 1st 

13:30

Room 52.223

Phd Seminar : Software development best-practices for reproducible research

By  Alastair Porter

Abstract

In software development it is considered a best practice to test code, include documentation, use source code management tools, and make frequent backups. A lot of the time technical research tends to eschew these best practices, resulting in missing data, hard to reproduce results, and wasted time. For researchers who haven't worked in or studied software engineering roles, it can often be confusing to know where to start, or how these best practices improve code quality and save time. In this talk I will show some examples why software engineering best practices are a valuable part of technical research and how to start applying them if you do not know what tools and resources are available.

March, 1

15:30

Room 55.309

Invited Research Seminar

Cyber-physical resilient systems 

By Joaquin García-Alfaro

Abstract

Full Professor at Institut Mines-Telecom (Telecom SudParis & Université Paris-Saclay). Double Ph.D.degree in Computer Science from Universitat Autonoma de Barcelona (UAB) & Université de Rennes. Research Habilitation from Université Pierre et Marie-Curie (Paris Sorbonne VI). He holds two engineering awards from UAB, a doctoral fellowship award and a graduate award from the "la Caixa” savings bank foundation. His research interests are situated in several domains of network & system security, with a special emphasis on areas related to the management of formal policies, analysis of threats, enforcement of mitigation and evaluation of countermeasures.    

March, 7

15:30

Room to be confirmed

Phd Research Seminar

Extended Minds and Machines 

By Karina Vold Abstract

Traditional cognitive science subscribes to the computational theory of mind, which says that our thoughts are realized by neural computations, or symbol manipulations, carried out by our brains. Philosophers Clark and Chalmers (1998) roughly accept the computational theory of mind but argue that when we use tools, such as smartphones and tablets, they can become seamlessly integrated into our cognitive processes such that computations in the tools are just as essential to our cognition as computations in our brain: smartphones extend our cognition. The ‘extended mind thesis’ is an increasingly popular view in philosophy of mind and cognition. It maintains not only that technologies can compensate for biological deficiencies, but also that technologies can augment our minds and enhance our biologically bound cognitive capacities, making us smarter and more capable agents (e.g. Sutton 2007; Menary 2007).

 Given our cognitive reliance on technology, recent advancements in artificial intelligence may be cause for concern. The outcomes of algorithms can have adverse effects on human-decision making: take the case of biased risk-assessment algorithms used to predict recidivism rates and inform judges in parole decisions. Furthermore, machines now have goals, or desired outcomes, of their own and depending on what these goals are, humans might be a good means to achieve those outcomes. The more we build machines to have human-like general intelligence the more likely it seems that machines may move beyond their intended, or original, hardware base to make use of tools to complete their tasks, just as we have. This might not be a bad thing, but one concern is whether us humans will be their tools of choice. Thus, we might need to protect humans from being used, nudged, or manipulated by machines.

Biography

 Karina Vold is a Research Associate at the Leverhulme Centre for the Future of Intelligence and Research Fellow in the Faculty of Philosophy at the University of Cambridge where she works on the Agency and Personhood Project. She specializes in philosophy of mind and cognitive science and is currently interested in cognitive extension, machine agency, and consciousness.

March, 8th 

15:30

Room 55.410

 

PhD Research Seminar

The power of ordinary people in the Web - Studying quality and inequalities in User Generated Content

By  Diego Sáez-Trumper

Host: Aurelio Ruiz

Abstract

Internet utopia came with the promise of democratize the access to knowledge, and allows to create, share and receive free information. But after 26 years of the releasing of the first Web Browser, how is people producing, receiving, and propagating information in the Internet? In this talk, I will introduce my work on the usage of massive data processing (a.k.a Data Science) for studying digital prints of human behavior, as well as discuss how Machine Learning and Artificial Intelligence can be used to empower people on the digital era, specially in  the context of a free knowledge community, where we want to use those techniques not to replace, but to support human judgment

Biography

Diego Sáez-Trumper is a Research Scientist at Wikimedia Foundation. Before, he was a post-doctoral researcher at Yahoo! Labs (Barcelona) and Research Scientist at Eurecat , Data Scientist at NTENT, and part time lecturer at UPF. He holds a diploma on Acoustic Engineering (Universidad Austral de Chile, 2006) and  obtained his Phd in Information Technology from Universitat Pompeu Fabra (2013) under the supervision of Dr. Ricardo Baeza-Yates. During his PhD he interned at Qatar Computing Research Institute, University of Cambridge  and Universidade Federal de Minas Gerais in Brazil. 

If the seminar is ofered via streaming in: 

- Room 55.309 or 55.410 follow this link

- Auditorium follow this link

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