2 citations · 7 across the 22 of their papers we have counts for
24 papers
Bridging the Divide: Gender, Diversity, and Inclusion Gaps in Data Science and Artificial Intelligence Across Academia and Industry in the majority and minority worlds
Genoveva Vargas-Solar
As Artificial Intelligence (AI) and Data Science (DS) become pervasive, addressing gender disparities and diversity gaps in their workforce is urgent. These rapidly evolving fields…
Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science
Genoveva Vargas-Solar, Umberto Costa, Jérôme Darmont +6
This paper introduces Experiversum, a lakehouse-based ecosystem that supports the curation, documentation and reproducibility of exploratory experiments. Experiversum enables struc…
Towards Responsible and Fair Data Science: Resource Allocation for Inclusive and Sustainable Analytics
Genoveva Vargas-Solar
This project addresses the challenges of responsible and fair resource allocation in data science (DS), focusing on DS queries evaluation. Current DS practices often overlook the b…
Dataversifying Natural Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life \& Earth Sciences
Genoveva Vargas-Solar, Jérôme Darmont, Alejandro Adorjan +6
This vision paper introduces a pioneering data lake architecture designed to meet Life \& Earth sciences' burgeoning data management needs. As the data landscape evolves, the imper…
MATILDA: Inclusive Data Science Pipelines Design through Computational Creativity
Genoveva Vargas-Solar, Santiago Negrete-Yankelevich, Javier A. Espinosa-Oviedo +2
We argue for the need for a new generation of data science solutions that can democratize recent advances in data engineering and artificial intelligence for non-technical users fr…
A Novel Method for Curating Quanti-Qualitative Content
Alejandro Adorjan, Genoveva Vargas-Solar, Regina Motz
This paper proposes a Researcher-in-the-Loop (RITL) guided content curation approach for quanti-qualitative research methods that uses a version control system based on consensus.…
Conversational Data Exploration: A Game-Changer for Designing Data Science Pipelines
Genoveva Vargas-Solar, Tania Cerquitelli, Javier A. Espinosa-Oviedo +3
This paper proposes a conversational approach implemented by the system Chatin for driving an intuitive data exploration experience. Our work aims to unlock the full potential of d…
From Text to Knowledge with Graphs: modelling, querying and exploiting textual content
Genoveva Vargas-Solar, Mirian Halfeld Ferrari Alves, Anne-Lyse Minard Forst
This paper highlights the challenges, current trends, and open issues related to the representation, querying and analytics of content extracted from texts. The internet contains v…
Calling for a feminist revolt to decolonise data and algorithms in the age of Datification
Genoveva Vargas-Solar
Feminist and women groups, indigenous communities and scholars in the global south/north refusing to adhere to hegemonic datafication programs have started to organise and fight ba…
NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments
Genoveva Vargas-Solar, Karim Dao, Mirian Halfeld Ferrari Alves
This paper introduces NLDS-QL, a translator of data science questions expressed in natural language (NL) into data science queries on graph databases. Our translator is based on a…
Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper
Aderson Farias do Nascimento, Martin A. Musicante, Umberto Souza da Costa +3
This paper describes and discusses our vision to develop and reason about best practices and novel ways of curating data-centric geosciences knowledge (data, experiments, models, m…
Graph analytics workflows enactment on just in time data centres, Position Paper
Ali Akoglu, José-Luis Zechinelli-Martini, Hamamache Kheddouci +1
This paper discusses our vision of multirole-capable decision-making systems across a broad range of Data Science (DS) workflows working on graphs through disaggregated data centre…
Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs
Genoveva Vargas-Solar, Pierre Marrec, Mirian Halfeld Ferrari Alves
This paper presents an experimental study to compare analysis tools with management systems for querying and analysing graphs. Our experiment compares classic graph navigational op…
QoS-based Trust Evaluation for Data Services as a Black Box
Senda Romdhani, Genoveva Vargas-Solar, Nadia Bennani +1
This paper proposes a QoS-based trust evaluation model for black box data services. Under the black-box model, data services neither export (meta)-data about conditions in which th…
Building Analytics Pipelines for Querying Big Streams and Data Histories with H-STREAM
Genoveva Vargas-Solar, Javier A. Espinosa-Oviedo
This paper introduces H-STREAM, a big stream/data processing pipelines evaluation engine that proposes stream processing operators as micro-services to support the analysis and vis…
TRANSMUT-SPARK: Transformation Mutation for Apache Spark
Joao Batista de Souza Neto, Anamaria Martins Moreira, Genoveva Vargas-Solar +1
We propose TRANSMUT-Spark, a tool that automates the mutation testing process of Big Data processing code within Spark programs. Apache Spark is an engine for Big Data Processing.…
An Abstract View of Big Data Processing Programs
Joao Batista de Souza Neto, Anamaria Martins Moreira, Genoveva Vargas-Solar +1
This paper proposes a model for specifying data flow based parallel data processing programs agnostic of target Big Data processing frameworks. The paper focuses on the formal abst…
JITA4DS: Disaggregated execution of Data Science Pipelines between the Edge and the Data Centre
Genoveva Vargas-Solar, Ali Akoglu, Md Sahil Hassan
This paper targets the execution of data science (DS) pipelines supported by data processing, transmission and sharing across several resources executing greedy processes. Current…
Looking for COVID-19 misinformation in multilingual social media texts
Raj Ratn Pranesh, Mehrdad Farokhnejad, Ambesh Shekhar +1
This paper presents the Multilingual COVID-19 Analysis Method (CMTA) for detecting and observing the spread of misinformation about this disease within texts. CMTA proposes a data…
A Geo-Gender Study of Indexed Computer Science Research Publications
Belén Vela, José María Cavero, Genoveva Vargas-Solar +2
This paper presents a study that analyzes and gives quantitative means for measuring the gender gap in computing research publications. The data set built for this study is a geo-g…
LACLICHEV: Exploring the History of Climate Change in Latin America within Newspapers Digital Collections
Genoveva Vargas-Solar, José-Luis Zechinelli-Martini, Javier A. Espinosa-Oviedo +1
This paper introduces LACLICHEV (Latin American Climate Change Evolution platform ), a data collections exploration environment for exploring historical newspapers searching for ar…
Putting Data Science Pipelines on the Edge
Ali Akoglu, Genoveva Vargas-Solar
This paper proposes a composable "Just in Time Architecture" for Data Science (DS) Pipelines named JITA-4DS and associated resource management techniques for configuring disaggrega…
From Data Harvesting to Querying for Making Urban Territories Smart
Genoveva Vargas-Solar, Ana-Sagrario Castillo-Camporro, José Zechinelli-Martini +1
This chapter provides a summarized, critical and analytical point of view of the data-centric solutions that are currently applied for addressing urban problems in cities. These so…
Analyzing digital politics: Challenges and experiments in a dual perspective
Géraldine Castel, Genoveva Vargas-Solar, Javier Espinosa-Oviedo
Social networks have become in the last decade central to political life. However, to those interested in analysing the communication strategies of parties and candidates at electi…