Senior Director, Data Leadership
American Geophysical Union (AGU)
Talk entitled: Your Digital Presence
Shelley Stall is the Senior Director for the American Geophysical Union’s Data Leadership Program. She works with AGU’s members, their organizations, and the broader research community to improve data and digital object practices with the ultimate goal of elevating how research data is managed and valued. Better data management results in better science. Shelley’s diverse experience working as a program and project manager, software architect, database architect, performance and optimization analyst, data product provider, and data integration architect for international communities, both non-profit and commercial, provides her with a core capability to guide development of practical and sustainable data policies and practices ready for adoption and adapting by the broad research community.
Shelley’s recent work includes the Enabling FAIR Data project, engaging over 300 stakeholders in the Earth, space, and environmental sciences to make data open and FAIR, targeting the publishing and repository communities to change practices by no longer archiving data in the supplemental information of a paper but instead depositing the data supporting the research into a trusted repository where it can be discovered, managed, and preserved.
Faculty of Arts at the University of Helsinki
Talk entitled: Integrating Open Science in the Humanities: the Case of Computational History
Mikko Tolonen is an assistant professor of Digital Humanities at the University of Helsinki. He is the PI of Helsinki Computational History Group (COMHIS). In 2015-17 he also worked in the National Library of Finland on digitized newspapers as professor of research on digital resources. He is the chair of Digital Humanities in the Nordic Countries (DHN). His current main research focus is on an integrated study of early modern public discourse and knowledge production that combines bibliographic metadata and full-text sources. In 2016, he was awarded an Open Science and Research Award by the Finnish Ministry of Education and Culture.
Lecturer in Big Data Analytics and Quantitative Social Science
Judge Business School, University of Cambridge
Talk entitled: Getting Big Data: Social scientists must strive to be autonomous from corporate charity
David is a Lecturer in Big Data Analytics and Quantitative Social Science at Cambridge University’s Judge Business School. David's research uses big data to understand psychology. He has published papers using social media data from millions of consenting individuals to show that the computer can predict a user's personality as accurately as their spouse can. This research has important public policy implications. How should consumers' data be used to target them? Should regulators step in, and if so how? David has spoken at workshops at the EU Parliament and to UK government regulators.
David has also published research using various big data sources such as from credit card data and textual data to show that spending money on products that match one's personality leads to greater life satisfaction, that people tend to date others whose personality is similar, and that people who swear seem to be more honest.
Vrije Universiteit Amsterdam - Cognitive Psychology
Talk entitled: How I learned to stop worrying and love Open Science
Tomas is a cognitive neuroscientist whose research focuses on the role sensory topographies (visual retinotopy, auditory tonotopy and bodily somatotopy) play in the detailed organization of the human brain and cognition. For this work, Tomas uses state of the art 7-Tesla MRI techniques. Early-career experiences where he ‘failed to replicate’ previous findings have impressed upon him the need to make research reproducible from top to bottom. Because of this, his lab uses only open methods and puts all their data and methods online. Having invested in these methods, Tomas is convinced that, in the end, it is not a burden to perform open science, rather it provides researchers with great opportunities for ground-breaking science.