Webinar: Policy Cloud Data Driven Policies against Radicalisation

July 2, 2020

2:00 PM - 3:00 PM CEST

More information here.

Webinar: Role of Data Innovation Spaces and Big Data DIHs in the European digital transformation

June 24, 2020 

10:00 AM - 12:00 PM CEST

More information here

11th June 10:00 AM - 11:00 AM CESTThe main goal of webinar is to showcase approaches that greatly simplify the work of a data analyst when performing data analytics, or when employing machine learning algorithms, over Big Data.Registration and more information here.

Thursday 28th May 2020 at 14:00 CET

BigDataStack, I-BiDaaS, Track & Know and Policy Cloud join forces in a series of online demonstrations of innovative Big Data Technologies unlocking the potential of various applications.

This webinar is part of the BDV PPP online activities.

Registration and further information here.

Thursday, May 14 2020

14:00h-16:00 CEST

The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. The insurance and finance services industry is rapidly transformed by data-intensive operations and applications. FinTech and InsuranceTech combine very large datasets from legacy banking systems with other data sources such as financial markets data, regulatory datasets, real-time retail transactions, and more, improving financial services and activities for customers.

More information available here.

BDVA organises, with the support of GO FAiR, CODATA and the Philips Foundation, a webinar on April 29th at 14h CEST to raise more awareness about this initiative.  The VODAN Implementation Network is one of the joint activities carried out by CODATA, RDA, WDS, and GO FAIR. The purpose of the Implementation Network is to make the SARS CoV-2 virus data FAIR, meaning that they are Findable, Accessible, Interoperable and thus Reusable by both humans and machines, during this epidemic of COVID-19.

Read more about VODAN here: https://www.go-fair.org/implementation-networks/overview/vodan/ 

Webinar: Virus Outbreak Data Network (VODAN) - Introduction and implementations

Date: April 29th, 2020. 14h to 15h CEST

Registration: https://attendee.gotowebinar.com/register/2157671029663782416

Agenda:

• Introductory note. Prof. Dr. Milan Petkovic (Department head Data Science at Philips; Professor at TU/e; Vice President at BDVA) (5 min)
• Introduction to GO FAIR. Prof. Dr. Barend (Professor at Leiden University Medical Center, Ambassador of GO FAIR, President of CODATA) (10 min)
• VODAN. Prof. Dr. Barend (Professor at Leiden University Medical Center, Ambassador of GO FAIR, President of CODATA) (15 min)
• A VODAN implementation case by Philips Foundation. 
  • Prof. Mirjam van Reisen (Professor International Relations and Innovation, Tilburg University & Leiden University) (10 min)
  • Hans Hofstraat (VP at Philips Research, Royal Philips) (10 min)
• Q&A (10 min)

We are living in the largest, most dramatic and unexpected social experiment ever, as governments launch a variety of “social distancing” measures to slow down the coronavirus contagion. Also the use of AI and Big Data is being tested as never before: China, Taiwan, South Korea are using massive data collection and smartphones for “track and tracing systems”. In Europe nothing similar has been launched yet, while quantitative models to forecast the spread of the virus are multiplying. In Italy where the pandemic is raging there is a hot debate on the opportunity to follow the Asian example. Nobody has all the answers.The BDVA community wants to open a discussion to share experiences and evidence about the best way to use data and AI to manage the pandemic and support dentifying the best practices to be recommended and the best ideas to be shared. In this webinar we start the discussion with a few expert speakers reporting on the Asian and ongoing European experiences. But we call on all interested members of the community to participate and share other experiences and ideas to learn from each other. Date/Time: March 26th, 14h CETRegistration: here. (closed)Speakers:

• Gabriella Cattaneo, European Government consulting at IDC [Presentation]
• Daniel Calvo, Head of Artificial Intelligence and Robotics unit, Atos Research and Innovation [Presentation]
• Luca Ferretin, Big Data Institute at the University of Oxford [Presentation]
• Paolo Giudici, Professor of Statistics, FinTech laboratory, University of Pavia [Presentation]
• Barbara Guardabascio, Italian National Institute of Statistics (ISTAT) [Presentation]

Main organisers: Gabriella Cattaneo (IDC, TF2.Impact lead), Tiblets Demewez (Philips, TF7.Healthcare lead), Ana Garcia (BDVA Secretary General)

The EU Big Data Value Association and the Midwest Big Data Hub, in collaboration with Iowa State University, University of Wisconsin-Madison, SINTEF, and Intrasoft Intl., proudly present the first in an EU and US Big Data Research Collaboration Webinar Series:WEBINAR #1: UAVs AND SATELLITES FOR AGRICULTUREThursday, 21 November 2019. 15:00-16:30 PM CETAccess link here: https://zoom.us/j/101827635 AGENDA

• Welcome: Dr. Lea SHANLEY Senior Fellow, Nelson Institute, University of Wisconsin-Madison @Lea_Shanley
• Introduction:Dr. Arne BERRE, Chief Scientist, SINTEF (Moderator) @SINTEF                                                                                                   
• Introduction to Crop Phenomics:Dr. Carolyn LAWRENCE-DILL, Professor, Iowa State University @IAcornflake 
• Unmanned Aerial Vehicles and Crop Level Phenomics:Dr. Jesse POLAND, Associate Professor, Kansas State University @WheatLab
• The Aggregate Farming in the CloudProject Approach: Dr. José-Fernán MARTÍNEZ-ORTEGA, Universidad Politécnica de Madrid @La_UPM
• Crop Monitoring and Satellite Data:Mrs. Isabelle PICCARD, Senior Researcher, VITO Remote Sensing @VITO_RS_

Panelists:Lea Shanley is a Senior Fellow in the Nelson Institute at the University of Wisconsin Madison. Her research interests focus on the intersection of open science, geospatial and emerging technology, policy and law. Previously, Lea served as the co-Executive Director of the NSF South Big Data Hub, a White House Presidential Innovation Fellow at NASA, and founding director of the Commons Lab at the Wilson Center in Washington, DC. Arne Berre is the Chief Scientist at SINTEF Digital, Department for Software and Service Innovation, Group for Smart Data. Arne is the Leader of BDVA (Big Data Value Association) TF6 Technical Priorities, GEMINI Center for Big Data with SINTEF, NTNU and UiO and SINTEF BigLearn on Big Data and Machine Learning. Arne works with digital platforms and systems interoperability, with focus on big data and processing support for Analytics/AI/Machine Learning. Carolyn Lawrence-Dill is a Professor at Iowa State University. Her research interests have grown from plant biology to genomics to phenomics. Carolyn served as the Director of the Maize Genetics and Genomics Database for nearly ten years, was a founding member of the North American Plant Phenotyping Network, and serves as a co-chair for the Interna­tional Plant Phenotyping Network. Current research in her lab group focuses on the analysis of language-based phenotypes for association genetics and novel candidate gene prediction. Jesse Poland is an Associate Professor at Kansas State University, Director of the Feed the Future Innovation Lab for Applied Wheat Genomics, and Director of the Wheat Genetic and Genomic Resource Center. Research in Jesse’s group is focused on wheat genetics, genomics, and germplasm improvement. Jesse’s research group is currently developing new approaches in quantitative genetics, genomics and high-throughput phenotyping for use in breeding, diversity studies, and association genetics. In collaboration with public breeding programs, Jesse implements the use of genomic selection meth­ods to accelerate wheat breeding. In the area of germplasm development, Jesse’s group focuses on developing new breed­ing lines with resistance to the major pests of wheat including stem rust, stripe rust, leaf rust, and Hessian Fly and seeks to understand the genetic basis of these traits. To complement advances in genomics, Jesse’s lab develops high-throughput phenotyping approaches for field-based evaluation of breeding lines, focused primarily on genetic characterization of heat and drought tolerance and development of improved germplasm. José-Fernán Martínez-Ortega received his Ph.D. degree in Telematics Engineering from the Technical University of Madrid (UPM) Spain in 2001. His main interest areas and expertise are ubiquitous computing and Internet of things, underwater cooperating robots, smart cities, new advanced services for WSAN and high performance and fault tolerant for resilient systems. He has participated in several International and European Research Projects, as a responsible, such as: I3RES, e-GOTHAM, DEMANES, ACCUS, WoO, uSWN, SODA, ESNA, DiYSE, LIFEWEAR. Moreover, he has been the coordi­nator of the European Research Project SWARMs and is right now the coordinator of AFarCloud (Aggregate Farming in the Cloud). PhD. Martínez is working as a guest professor at Mälardalen University Sweden (MDH) at the School of Innovation, Design and Engineering (IDT), in the area of Robotics and Avionics since August 2013. One of the most important scientific institution in China, the Beijing Institute of Technology (BIT), invited him as a foreign research expert in 2011. Mrs. Isabelle Piccard is a senior researcher at VITO Remote Sensing. After graduating from KULeuven as a Bio-En­gineer, Isabelle started her professional career working as pea breeder for a Belgian-Dutch seed company. She joined VITO Remote Sensing in 2001, where she has been involved in many national and international projects – both as a scientist and project manager. Over the years, Isabelle has built up extensive expertise in the use of satellite images for crop map­ping, crop monitoring, damage and risk assessment, including agricultural insurances. Currently, Isabelle mainly focuses on developing products and services for crop monitoring based on time series of high-resolution satellite data. She is one of the founders of “WatchITgrow”, an online platform to support farmers to monitor arable crops and vegetables in view of increasing yields, both qualitatively and quantitatively. WatchITgrow combines satellite data with weather, soil, IoT and field data using new technologies such as big data analytics and machine learning, to provide growers with more timely and personalized advice.