Couldn‘t attend the event? You can find the speaker presentation HERE.
This event is part of IN4ACT Webinar Series for researchers, organized by ERA Chair project Industry 4.0 impact on management practices and economics (IN4ACT). Presenter: Dr. Peiman Alipour Sarvari, IN4ACT Researcher. Discussant: Andrius Grybauskas, IN4ACT Researcher.
Date: Friday, February 5, 2021
Time: 1 pm.
Location: Online, hosted on Zoom. Event access information will be provided all registered attendees 24 hours, and 1 hour, prior to the event start.
ABOUT THE SPEAKERS
Presenter: Dr. Peiman Alipour Sarvari. Peiman is an experienced scientist, cloud architect and data engineer in the Luxembourg Institute of Science and Technology with a demonstrated history of working in both research and industry. Peiman has an outstanding background in ICT, AI and big data. He has successfully fulfilled numerous projects and patents. Peiman is currently active in Cyber Physical Systems and digitalization research areas. He is holding a PhD on Industrial Engineering and a Post Doctorate on Machine Learning for Big data. Peiman is a certified professional IBM, AZURE and AWS architect and actively takes part in cloud computing design and architectures for numerous national and international projects. Peiman has published many journal papers and currently doing research for IN4ACT project.
Discussant: Andrius Grybauskas. Andrius Grybauskas is a Researcher at ERA Chair team, IN4ACT at the School of Economics and Business in Kaunas University of Technology. He received undergraduate degree in economics and finance, graduate degree in International Trade and Economics and is currently studying Ph.D. in Economics at Kaunas University of Technology. Andrius research themes mostly revolves around the real estate market and its stability, housing bubbles, econometrics, Big Data, REITs, machine learning, forecasting, web-scraping and artificial intelligence. The curiosity for real estate market is a byproduct of Andrius business experience. He personally dealt with negotiations of real estate with foreigners and successfully gathered funding for many real estate projects. His daily procedures were buying, selling, renting, reviewing the contract, lease, rental agreements, finding business opportunities and analyzing the overall real estate market. Andrius has participated in many technical and econometrical conferences and seminars held around the world and in central banks
ABOUT THE PRESENTATION
Online platforms are strong drivers of innovation and represent a crucial role in World’s digital society and economy. They include a broad range of activities, like online marketplaces, social media, creative content outlets, app stores, price comparison websites, platforms for the collaborative economy as well as search engines. They offer a variety of choices for customers while improving efficiency and quality of products and can enhance civil participation in society. Nevertheless, (Research question) the challenge of defining a platform respecting the privacy-friendliness and considering the citizen empowerment are the main concern ahead. This research tends to bring to light the main interest factors and challenges related to social and economic potentials of platforms. It conducts methodological, technical, and social studies that may lead to prototyping/tooling while trying to develop answers to the hereunder listed challenges:
Challenge 1. How to choose the most appropriate privacy by design approach? To cover this question, a use case, where a new product/service based on the processing of personal data should be designed (in any sector).
Challenge 2. Which Privacy Enhancing Technologies (PETs) should be used to ensure the privacy friendliness of the digitalization? As a preliminary answer, we could mention that, the world of PETs is evolving every day and the privacy friendliness of the digitalization, which is required to trust it, need to implement appropriate existing PETs and probably developing new PETs dedicated to the context of the digitalization (Prerequisite: Privacy Technologist knowledge).
Challenge 3. How to effectively combine Security and Privacy by design? Regarding the personal data, the privacy is a broader domain than the information security but, on the other hand, privacy cannot be effective without appropriate information security measures. So, we would also consider that the privacy by design approaches would only be effective by being supported by appropriate security by design approaches. In addition, combining both kinds of approach would make it efficient from a business perspective. (Prerequisite: Early stage of the creation of a personal-data-based product or service)
Challenge 4. How can the digitalization manage (i.e. collect, track, back up, access, share, erasure) personal data in a specific way that will ensure the compliance with GDPR and other related regulations? The digitalization will handle a huge amount of information (i.e. a data lake) among which only a part will be personal data. These personal data cannot be managed in the same as the non-personal data and so their handling required a specific management to comply with existing (and future) regulations.
Challenge 5. How to identify and measure privacy risk? Risk-based approach promoted by GDPR introduces a conceptual novelty of a “risk to the rights” of the data subject, which puts the relationship between risks and rights at center stage. Unlike traditional information security risk where right is considered as a source of risk (right as risk), GDPR states risk to the right to privacy (risk to a right). “There is presently a lack of recognition in both theory and practice of how to understand the concept of a “risk to a right” in data protection impact assessments”. To overcome this challenge, it is important to determine terminology more suited to the nature of privacy in systems to be able to identify privacy risk as distinct from information security risk. Analysis of both risk assessments performed in the fields of environmental law which also considers risk to a right that may help to determine what is privacy risks, privacy threat, privacy vulnerabilities and privacy impact.
Challenge 6. How to analysis the privacy-friendliness of a product/service? Privacy-Friendliness of a system is determined by combining of (1) Network centricity is the degree to which a user’s system relies on a network infrastructure to provide a service, as well as the degree of control a network operator can exercise over a client’s operations. (2) Identifiability can be defined as the degree to which data can be directly attributed to an individual.
Challenge 7. How to facilitate the citizens control of their personal data collected in a digitalized platform/context? The exploration of technologies and ecosystems aiming at empowering citizens to control the sharing of their personal data (‘personal information management systems’). The development of empowerment tools for citizens to manage their security and privacy through the control of access rights and easy-to-give-and-to-withdraw informed consent. (Prerequisites: A use case based on a service/product processing personal data).
ABOUT THIS SERIES
This event is part of a IN4ACT Webinar Series, organized by ERA Chair project “Industry 4.0 impact on management practices and economics” (IN4ACT). Find out more about upcoming webinars HERE.
The events will be hosted on Zoom.
For inquires about this event, please contact: in4act@ktu.lt
