About the Workshop of Data Science at ITA 2021

In November 2021 22-23, ITA hosted the Workshop of Data Science to present current research project related to the broad area of Data Science and discuss new projects. As part of Data Science PRINT project, we received the visit of Professor Maria Fasli, from University of Essex (United Kingdom) at ITA on November 22. Prof. Fasli delivered a keynote speaker presentation at the Workshop of Data Science at ITA. You may find the WDS ITA 2021 Program below. Due the coronova virus pandemic, The event was performed in a hybrid format and the presentation videos are available at YouTube. You may find the link below.

Workshop of Data Science at ITA 2021

You may watch the WDS ITA 2021 online:
If you want to attend ITA 2021 in person. You need to register at the site event: Workshop of Data Science

Workshop of Data Science ITA 2021 - Program

22 NOV - DATA SCIENCE IN GENERAL (9am to 5pm - Brazilian time GMT-3)
1. 9am - Reception, resgsitration and warm-up
2. 10 to 12am - SESSION 1
  - Openning
  - Lucas Venezian Povoa - A composable machine learning approach for classification and simulation of cancer treatment response
  - Leonardo Silveira - Latent Graph Inference from Unstructured Data
  - Pedro Yuri Arbs Paiva - Hardness embeddings of datasets: a framework for relating data characteristics and learning performance
  - Roberto Douglas Guimarães de Aquino - SLEDge Score: Cluster evaluation based on semantic analysis
  - Daniela America da Silva - Why machine learning bias is bad ?
3. 1.30 to 3pm - SESSION 2
  - Bruna Dutra Puppo - A Multicriteria Decision trading system based on the Prospect Theory: a risk-return analysis of the TODIM method
  - Gustavo de Freitas Fonseca - The Influence of Deep Reinforcement Learning Algorithms in the Results of Autonomous Trading in Cryptocurrency Market
  - Attilio Sbrana - Deep Learning for Financial Time Series Modeling
4. 3.30 to 5pm - SESSION 3
  - Paulo Victor Freitas Lopes - Data-Driven Intelligent Manufacturing Decision
  - Dr Emilia Colonese Carrard - Big Data models benchmarking in the context of the ANATEL-ITA project
  - KEYNOTE SPEAKER Prof Maria Fasli (University of Essex) The potential and perils of Data Science and AI
    The availability of cheap computational devices and the growth of the WWW and applications has led to the proliferation in the amount of data - both structured and unstructured. In turn, increased computational power, cheap storage and data proliferation have led to the development of new techniques in Data Science and unprecedented progress in Artificial Intelligence (AI). From powering recommendation engines to autonomous vehicles, AI has seen a reinvigoration in interest while industry and academia have been investing heavily to remain competitive and take advantage of the power of AI. But is AI a panacea and how much progress has really been made in the field? This talk will explore the potential of Data Science and AI in diverse applications, but also the perils of these technologies if they remain unregulated and unchecked.

23 NOV (MORNING)- Project entitled "Data Science Coping with Pandemics, Epidemics and Outbreak in Brazilian Hospitals" coordinated by Dr Ana Carolina Lorena (9am to 12am - Brazilian time GMT-3). Click here for more information

23 NOV (AFTERNOON) - Women in STEM (1.30pm to 5pm - Brazilian time GMT-3) Click here for more information