Towards Trustworthy Data

First International Workshop on Knowledge Science

Date
Wednesday March 30, 2022 from 3:00 PM to 5:30 PM
Location
Online - MS Teams
Organizer
EAISI

Towards Trustworthy Data

Thank you for joining the First International Workshop on Knowledge Science that took place on the 30th of March.

The presentation slides are available as downloads now.

DOWNLOADS
George Fletcher | Opening & Closing
Elena Simperl | Are our knowledge graphs trustworthy?
Pieter Colpaert | Knowledge Science in action: Transport and Mobility
Catia Pesquita | Knowledge Science for AI-based biomedical and clinical applications
Ilaria Tiddi | Robots that know, but how much do they know?

We are looking forward to meeting you at the next edition. We will keep you updated! 

On behalf of EAISI, best regards,

George Fletcher
Full Professor at Database Group, Eindhoven University of Technology

SPEAKERS

Elena Simperl | Professor of Computer Science at King’s College London
Pieter Colpaert | Professor public Web APIs and Linked Data at Ghent University 
Catia Pesquita | Assistant Professor at Universidade de Lisboa 
Ilaria Tiddi | Assistant Professor Hybrid Intelligence at Vrije Universiteit Amsterdam
Tim Gasper | VP of Product at data.world, Austin, US
Mohammed Aaser | Chief Data Officer at Domo, Minneapolis, US | Former McKinsey CDO

PROGRAM

3:00 - 3:10 PM   

Opening

 

3:10 - 3:40 PM

University session, chaired by Paul Groth

Speaker: Elena Simperl  

3:40 - 4:40 PM

Knowledge Science in action, chaired by George Fletcher

Pieter Colpaert
Knowledge Science for mobility
Catia Pesquita
Knowledge Science for AI-based biomedical and clinical applications
Ilaria Tiddi
Knowledge-aware robots

4:40 - 5:20 PM

Industry session, chaired by Juan Sequeda   

Speakers: Mohammed Aaser and Tim Gasper

5:20 - 5:30 PM

Closing remarks

 

Reliable Data

Organizations across all sectors are increasingly undergoing deep transformation and restructuring towards data-driven operations. The central role of data highlights the need for reliable and clean data. Unreliable, erroneous, and incomplete data lead to critical bottlenecks in processing pipelines and, ultimately, service failures, which are disastrous for the competitive performance of the organization. Given its central importance, those organizations which recognize and react to the need for reliable data will have the advantage in the coming decade. We argue that the technologies for reliable data are driven by distinct concerns and expertise which complement those of the data scientist and the data engineer. Those organizations which identify the central importance of meaningful, explainable, reproducible, and maintainable data will be at the forefront of the democratization of reliable data.

The Knowledge Scientist

In this workshop we introduce a new role which must be developed to fill this critical need: the Knowledge Scientist. The organizational structures, tools, methodologies and techniques to support and make possible the work of knowledge scientists are still in their infancy. As organizations not only use data but increasingly rely on data, it is time to empower the people who are central to this transformation.

Organized by:
George Fletcher | Full Professor at Database Group, Eindhoven University of Technology

In collaboration with:
Paul Groth | Full Professor at Informatics Institute, University of Amsterdam
Juan Sequeda | Principal Scientist at data.world