The CODATA-RDA Advanced Workshops for Research Data Science

Administration

Description

An ICTP Meeting in presence

The advanced workshops are a week-long hands-on activity that exposes participants to advanced techniques/approaches in specialized areas. Participants are expected to have a suitable background or have participated in a prior Summer School part of of this activity.

Three applied/thematic workshops on Research Data Science will run in parallel:

Workshop 1: Big-Data Analytics
(Lead instructors: Ekpe Okorafor and Ishaku Anaobi)

Analysis of Large Scale Real-Time and Streaming Data
Real time event processing, low latency query and visualization
Hands-on sessions on Data ingesting and tools for capturing real time events/ streams, processing, low latency query and visualization

Workshop 2: Compute Infrastructure
(Lead instructors: Rob Quick and Raphael Cobe)

Data analysis tasks (from laptops to HPC platforms)
Deploying and using applications (jupyter notebooks) on laptops and HPC clusters
A look at large scale data analysis on Cloud Computing Platforms

Workshop 3: Smart Cities and Urban Environments
(Lead instructors: TBA)

Challenges of data-driven approach
Basics of Urban data: creation & crowd data sourcing
Methodologies and technologies for integration, analysis, visualisation and exploration
Metropolitan policies on data and its ethical use

Call for Contributed Abstracts: All applicants are requested to submit an abstract for a poster presentation. Abstract templates are available below for download.

Grants: A limited number of grants are available to support the attendance of selected participants from developing countries. There is no registration fee.

Individuals seeking an introduction to Research Data Science can apply to The CODATA-RDA School that runs immediately before the workshops.

Material

Abstract Templates Group Photo Poster Preliminary list of Participants

The CODATA-RDA Advanced Workshops for Research Data Science | (smr 4037)

Go to day

Monday, 26 August 2024
- 08:30 - 09:00
  - 08:30 Registration formalities 30'
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Upon arrival, Visitors not staying in the ICTP Guest Houses, are kindly requested to complete registration formalities at the Adriatico Guest House (Lower Level). The Registration Desk will be open from 8.30 to 9.00
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- 09:00 - 18:30 Foundations of IoT, Big Data, and AI Integration
  - 09:00 Introduction to IoT, Big Data, and AI in Analytics 1h30'
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Explore the problem scope, discuss the convergence of IoT, Big Data, and AI/ML, and analyze large-scale real-time and streaming data.
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    Material: Slides
  - 10:30 Coffee Break 30'
  - 11:00 Introduction to Kafka and Data Streaming 2h0'
    
    Material: Slides
  - 13:00 Lunch break 1h0'
  - 14:00 Lab – Installing Docker and Setting Up Kafka Environment 2h0'
    
    Material: Slides
  - 16:00 Coffee Break 30'
  - 16:30 Lab – Installing Docker and Setting Up Kafka Environment 2h0'
    
    Material: Slides
- 14:00 - 18:00 Compute Infrastructure
  - 14:00 Linux Refresher / Data Security 2h0'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 16:00 Coffee Break 30'
  - 16:30 Linux Refresher / Data Security 1h30'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
Tuesday, 27 August 2024
- 09:00 - 18:00 Compute Infrastructure
  - 09:00 Cloud Computing 1h30'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 10:30 Coffee Break 30'
  - 11:00 Cloud Computing 2h0'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 13:00 Lunch Break 1h0'
  - 14:00 Cloud Computing 2h0'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 16:00 Coffee Break 30'
  - 16:30 Cloud Computing 30'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 17:00 ICTP Datacenter Tour 1h0'
    
    Speaker: Clement ONIME (ICTP, Italy)
- 09:00 - 18:30 Building Scalable Data Pipelines
  - 09:00 Designing Kafka Topics, Partitions, and Data Flows 1h30'
    
    Material: Slides
  - 10:30 Coffee Break 30'
  - 11:00 Lab – Design and Implementation of Kafka Topics and Partitions 1h30'
    
    Material: Slides
  - 12:30 Evaluation of Designs and Feedback 30'
  - 13:00 Lunch break 1h0'
  - 14:00 Lab – Scaling Kafka Topics and Partitions 2h0'
    
    Material: Slides
  - 16:00 Coffee Break 30'
  - 16:30 Lab – Data Flow Optimization for High Throughput 2h0'
    
    Material: Slides
Wednesday, 28 August 2024
- 09:00 - 18:00 Compute Infrastructure
  - 09:00 HPC 1h30'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 10:30 Coffee Break 30'
  - 11:00 HPC 2h0'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 13:00 Lunch Break 1h0'
  - 14:00 HPC 2h0'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 16:00 Coffee Break 30'
  - 16:30 HPC 30'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 17:00 Network Session 1h0'
- 09:00 - 10:35 Real-Time Data Processing with AI/ML
  - 09:00 Introduction to Spark, Spark Streaming, and Real-Time Analytics 1h30'
    
    Material: Slides
  - 10:30 Coffee Break 30'
  - 11:00 Lab – Real-Time Data Processing with Kafka and Spark Streaming 2h0'
    
    Material: Slides
  - 13:00 Lunch break 1h0'
  - 14:00 Lab – Real-Time Data Processing with Kafka, Spark Streaming, and AI/ML 2h0'
    
    Material: Slides
  - 16:00 Coffee Break 30'
  - 16:30 Lab – Integrating AI/ML Models into Real-Time Data Processing 2h0'
- 18:30 - 20:30
  
  Material: slides
  - 18:30 Welcome Reception 2h0' ( Adriatico Terrace/Cafeteria )
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All Participants are cordially invited to the Welcome Reception
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Thursday, 29 August 2024
- 09:00 - 17:00 Compute Infrastructure
  - 09:00 HTC 1h30'
    
    Speaker: Robert QUICK (Indiana University, USA)
  - 10:30 Group Photo 5'
  - 10:35 Coffee Break 25'
  - 11:00 HTC 2h0'
    
    Speaker: Robert QUICK (Indiana University, USA)
  - 13:00 Lunch Break 1h0'
  - 14:00 HTC 2h0'
    
    Speaker: Robert QUICK (Indiana University, USA)
  - 16:00 Coffee Break 30'
  - 16:30 HTC 30'
    
    Speaker: Robert QUICK (Indiana University, USA)
- 09:00 - 18:30 IoT Analytics and AI/ML Deployment
  - 09:00 Advanced IoT Analytics: Leveraging AI/ML for Smart Solutions 1h30'
  - 10:30 Group Photo 5'
  - 10:35 Coffee Break 25'
  - 11:00 Lab – Building IoT Streaming Solutions with Kafka and AI/ML 2h0'
    
    Material: Slides
  - 13:00 Lunch break 1h0'
  - 14:00 Lab – Deploying AI/ML Models for IoT Data Streams 2h0'
    
    Material: Slides
  - 16:00 Coffee Break 30'
  - 16:30 Project Discussion – Analyzing IoT Data with AI/ML 2h0'
- 18:30 - 19:30
  - 18:30 Seminars by Participants 1h0'
Friday, 30 August 2024
- 09:00 - 13:00 Compute Infrastructure
  - 09:00 AI and HPC 1h30'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 10:30 Coffee Break 30'
  - 11:00 AI and HPC 1h0'
    
    Speaker: Raphael MENDES DE OLIVEIRA COBE (UNESP, Brazil)
  - 12:00 Closing Ceremony 1h0'
- 09:00 - 18:00 Advanced AI/ML Techniques in IoT Data Analytics
  - 09:00 Real-Time Sentiment and Predictive Data Analysis Using AI/ML 1h0'
  - 10:00 Lab – Implementing Real-Time Sentiment Analysis on IoT Data 30'
  - 10:30 Coffee Break 30'
  - 11:00 Lab – AI/ML Model Deployment and Monitoring for IoT Applications 2h0'
  - 13:00 Lunch break 1h0'
  - 14:00 Lab – Advanced AI/ML Use Cases in IoT: Predictive Maintenance, Anomaly Detection 2h0'
  - 16:00 Coffee Break 30'
  - 16:30 Recap & Course Close 1h30'
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Discuss the future of IoT and AI/ML integration, key takeaways, and next steps for participants.
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