The JADS seminar series is a weekly presentation and discussion session for the whole JADS community. The sessions will alternate between presentations by JADS faculty and invited speakers who will discuss real-world data science issues.
Active participation is welcomed: you are invited to bring your lunch and discuss both JADS research and applied problems in data science in relation to privacy, law, security and broader societal issues.
JADS Seminar IX:
Responsible Smart Systems
by Indika Priyantha, Tilburg University
March 28 | JADS Room | 12.30-13.30
A smart system is an interconnected web of (IoT) devices, systems, services, and people that can autonomously collect and exchange data, and make informed decisions based on available data. A smart system can be a production system (e.g., Industry 4.0 factories for vehicles and home appliances) or a product (e.g., a smart vehicle and a smart home). While smart systems can reduce operational and maintenance costs, and improve customer satisfaction and production efficiency, they can behave irresponsibly, which is of greater concern for their end-users and stakeholders. Thus, making smart systems “responsible” is critical for their adoption. A “responsible” smart system behaves fairly, accurately, and transparently while taking into account stakeholders’ preferences and goals, and compliance with regulations, standards, and privacy, security and safety policies. They also enable auditing and provenance of their “responsible” behaviours.
In this seminar, I will present our research group’s vision for responsible smart systems. We believe that smart systems that can be made “responsible” by design, and can continuously be monitored and adapted to maintain their “responsible” behaviours. Each phase of a smart system (e.g., requirement engineering, design, implementation, deployment, execution, customization, monitoring, visualization, and management) needs to be “responsible”.
JADS Seminar X:
Responsible Predictive Analytics
by Mykola Pechenizkiy, Eindhoven University of Technology
April 4 | JADS Room | 12.30-13.30
The talk: Application-driven research in predictive analytics contributes to the massive automation of the data-driven decision making and decision support. Recent successes and further commoditization of deep learning make this process even faster. Data mining researchers and data scientists often have a (false) believe that data mining techniques have no bad intents. In this talk I will revisit several popular applications in banking, intelligent transportation, personalized medicine and education to highlight why the general public, domain experts and policy makers have good reasons to consider off-the-shelf predictive analytics as a thread. I will present my subjective view on the current state-of-the-art and further research needed for gaining a deeper understanding of what it means for predictive analytics to be ethics-aware, transparent and accountable.
The speaker: Mykola Pechenizkiy is Professor, Chair Data Mining at the Department of Computer Science, Eindhoven University of Technology (TU/e), the Netherlands. His expertise and research interests are in predictive analytics and knowledge discovery from evolving data, and in their application to real-world problems in industry, commerce, medicine and education. He develops generic frameworks and effective approaches for designing adaptive, context-aware predictive analytics systems. He has actively collaborated on this with industry. At DSC/e he leads the Customer Journey research program. He has served as associate editor, guest editor or editorial board member of leading data mining journals and as the President of IEDMS, the International Educational Data Mining Society. As a panelist and an invited speaker he has been advocating for the responsible data science and ethics-aware predictive analytics research at several events, including the FATML@ICML 2015 and NSF IRB Privacy and Big Data workshops and the EDM 2015 conference.
JADS seminar VII:
Social Signal Processing
March 14 | JADS Room
Speaker: Eric Postma, Full Professor, Tilburg School of Humanities Department of Communication and Information Sciences
(Cognitive Science & AI group)
JADS seminar VIII: Privacy and data processing: practical experiences
March 21 | JADS Room
Speaker: Rence Damming, PON
Chief Information Security & Privacy Officer, PON