DaSSWeb – Data Science and Statistics Webinar
Tuesday, 26 January, 14:30
Speaker: Alípio M. Jorge Fac. Sciences, Univ. Porto & LIAAD INESC TEC
Title: Text2Story: Narrative Extraction from Texts
Zoom link: videoconf-colibri.zoom.us/j/85023733490
Abstract:
Nowadays journalistic content is distributed in multiple formats, mostly through the web and specific internet based applications running on smartphones and tablets. Text is a very important format, but readers (or more accurately users or information consumers) heavily rely on images, videos, slideshows, charts and infographics. Textual content is still the main representation for information. Any journalistic subject (e.g. Trump and Russia) is described in one or more texts produced by journalists and possibly commented by readers. Many of those subjects are followed during days, weeks or months. To grasp a possibly vast and somewhat complex set of interconnected news articles, readers would greatly benefit from tools that summarize those articles by showing main actors, their interplay and their trajectories in time and space, their motivations, main events, causal relations of events and outcomes. In other words, tools that extract narrative elements and re-represent them in formats that convey the essential story but that are more efficiently consumed by the users. In this talk I will talk about these research challenges and current state of the art.

DaSSWeb – Data Science and Statistics Webinar
Tuesday, 12 January, 14:30
Speaker: Elisabeth Fernandes (Público Comunicação Social S.A. & Instituto Universitário de Lisboa (ISCTE-UIL), ISTAR)
Title: Data Analysis at Público
Zoom Link : videoconf-colibri.zoom.us/j/89142347854
Abstract:
The digital era brought new challenges and opportunities to newspapers. The transition from a single medium to a multimedia approach is a path that requires the perfect combination between quality journalism, technology and data.
The traditional publication frequency has been surpassed by a new digital dynamic minute by minute. The reader has access the information, in more channels, in different formats. The narrative control passed from the narrator to the reader. Media companies have large amounts of data with high investments in technology. Data Analysis gained a new protagonism inside the newsrooms, particularly at Público. New daily words like recirculation, engagement and dashboards become part of daily life. In this presentation, we aim to share the recent history of Público’s digital transformation and how data analysis helped to achieve company goals.
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Paula Brito Tel. (direct): (+351) 220426473 Faculdade de Economia Tel. (central FEP): (+351) 2205571100 Universidade do Porto Tel. (internal line): 4573 Rua Dr. Roberto Frias Fax: (+351) 225505050 4200-464 Porto e-mail: mpbrito@fep.up.pt<mailto:mpbrito@fep.up.pt> PORTUGAL www.fep.up.pt/docentes/mpbrito<www.fep.up.pt/docentes/mpbrito>

DaSSWeb – Data Science and Statistics Webinar
Tuesday, 15 December, 14:30
Speaker: Soraia Pereira CEAUL
Title: Statistical Learning for drivers of moderate and extreme rainfall
Zoom Link : videoconf-colibri.zoom.us/j/82950361641
Abstract:
Madeira has suffered a variety of extreme rainfall events over the last two centuries, including the flash floods of October 1803 (800–1000 casualties) and those of February 2010—the latter with a death toll of 45 people and with an estimated damage of 1.4 billion Euro. But what are the drivers of moderate and extreme rainfall in Madeira? In this talk I will devise a methodology for assessing this question, by resorting to tools, methods, and concepts at the interface between Statistical Learning and Statistics of Extremes​. Our proposed model allows to identify which drivers are significant to explain the moderate rainfall but not to explain the extreme rainfall and viceversa.

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DaSSWeb – Data Science and Statistics Webinar
Dia 24 de Novembro (3a f), 12:00
Orador: José Abílio Matos FEP, Univ. Porto & CMUP
Título: The challenges of Data Science from a Scientific Computing point of view
Link Zoom: videoconf-colibri.zoom.us/j/83562983307
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DaSSWeb – Data Science and Statistics Webinar
Dia 3 de Novembro, 3a feira, 14:30h
Orador: Carlos Soares Fraunhofer Portugal AICOS & FEUP
Título: Discovering a Taste for the Unusual: Exceptional Models for Preference Mining
Link Zoom: videoconf-colibri.zoom.us/j/83912288480
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DaSSWeb – Data Science and Statistics Webinar
Dia 16 de Outubro, 15:00h
Orador: Bernardo Marques FEP, Univ. Porto & Católica Porto Business School
Título: Using clustering ensemble to identify banking business models
Link Zoom: videoconf-colibri.zoom.us/j/89184028924

DaSSWeb – Data Science and Statistics Webinar
Date: September, 22, 2020, 14h30m
Speaker: Pedro Ribeiro
Title: “A gentle introduction to the world of network science”
Abstract: We will start by introducing the field of network science as an emerging pivotal interdisciplinary research topic. We will talk about the ubiquity of complex networks and how the huge increase of the available data contributed to the appearance of this field as a separate entity. We will give a brief historical perspective and revise some common terminology, along with the main associated tasks. We will then proceed with an hands-on experience on graph visualization, walking the audience through the steps needed to go from a confusing ‘hairball’ to a more polished and organized graph visual able to convey a message. We will showcase several graph filters, statistics, layouts, ranking and partition mechanisms, while interacting with the data in real time in an exploratory fashion. Finally we will give an overview of some of the work our group has done in this are, focusing on the subgraph patterns and their applicability.
Short Bio: Pedro Ribeiro is an Assistant Professor at the University of Porto, Computer Science Department and a Senior Researcher at the Center for Research in Advanced Computing Systems. He holds a PhD from the University of Porto in the field of Network Science, with a thesis centered around efficient and scalable detection of network motifs. His main research topics are in the fields of advanced algorithms and data structures, graph mining, network analysis and parallel and distributed computing. He has organized several network science related events, such as the Porto Winter School on Graph Analytics and Applications or the Porto Winter School on Network Science.
ZOOM link :
videoconf-colibri.zoom.us/j/3372995632