Case-studies

  • When: April-June 2021
  • Where: Online
  • What: PANELFIT has developed 5 different scenarios within 3 main technologies, AI, IoT and biometrics, where the guidelines for ICT research are in action. The focus of these MLEs will be to spot gaps and help improve the guidelines content. To this end, project developers and research coordinators, both in industry and academia, will be consulted.

AI – COVID-19 diagnosis and crime prediction

Case Scenario: Development of an AI tool for Medical Diagnosis and Case scenario: AI for Crime Prediction and Prevention.

  • When: 19th April 10-12h and 12h-14h30.
  • What: In this Mutual Learning Encounter, we will be tackling the main actions to be addressed concerning data protection when developing an AI tool in the contexts of medical diagnosis and crime prediction and prevention. Our aim is to gather valuable feedback on what needs to be considered when working with health and law enforcement data research and how this knowledge could best be provided to individuals working in the field. In the encounter, experts with different backgrounds and roles related to data protection and AI development will work together in evaluating how PANELFIT‘s case-studies and Guidelines may be improved.
  • See programme (PDF)
See programme (PDF)

IoT– Smart pantry and mobility

  • When: 12th May 10-12h35
  • What: In this Mutual Learning Encounter, we will be tackling the main actions to be addressed concerning data protection when developing IoT applications in the contexts of smart pantry and mobility. Our aim is to gather valuable feedback on what needs to be considered when working with dataresearch and how this knowledge could best be provided to individuals working in the field. In the encounter, experts with different backgrounds and roles related to data protection and IoT development will work together in evaluating how PANELFIT‘s case-studies and Guidelines may be improved.
  • See programme (PDF)

 

See programme (PDF)

Data Protection and Privacy in location and proximity data ICT tools

  • When: 28th June 16h-18h30
  • Where: Online
  • What: In this Mutual Learning Encounter, we will be addressing one of PANELFIT’s research outputs, The Guidelines and, more concretely, the section devoted to the development of an ICT tool that is based on the use of location and proximity data. Our aim is to gather valuable feedback on what needs to be considered when working with location and proximity data and how this knowledge could best be provided to individuals working in the field. In the encounter, experts with different backgrounds and roles related to data protection and geolocation development will work together in evaluating how PANELFIT‘s case-studies and Guidelines may be improved.

CALL FOR ACTION: join us in our upcoming Mutual Learning Encounter on Data Protection and Privacy in location and proximity data ICT tools. For registration and further information please contact Elsa Alves.

Biometrics

  • When: 29th June 10-12h45 CET
  • What: In this Mutual Learning Encounter, we will be tackling the main actions to be addressed concerning privacy and data protection when developing Biometric devices. ICT researchers and developers are required to consider existing norms on data protection when developing or deploying ICT systems. These compliance requirements are more complex in the case of biometric systems. Our “Guidelines on ethical and legal issues regarding biometrics in ICT research and innovation” considers the current data protection legal framework to provide suggestions on how to identify the legal requirements around biometric system development and deployment, and how to address them in the day-to-day operations of ICT researchers and developers, from the initial prototyping phase up to the testing and deployment phases

CALL FOR ACTION: join us in our upcoming Mutual Learning Encounter on Data Protection and Privacy in Biometrics Research and Innovation. For registration and further information please contact Elsa Alves.