Date: Thursday 15 February 2018
Location: VU Amsterdam - Room Aurora, Ground Floor, Main Building
15:45 Coffee & walk-in
Introduction & Chair: Frank van Harmelen (http://www.cs.vu.nl/~frank.van.harmelen/), Professor in Knowledge Representation and Reasoning, Department of Computer Science, VU Amsterdam
16:00-16:30 Speaker 1: Gerard Alberts (http://www.uva.nl/profiel/a/l/g.alberts/g.alberts.html), Korteweg-de Vries Institute for Mathematics & Vossius Center, University of Amsterdam on "Social awareness for data scientists"
Abstract: Working towards Responsible data science involves creating a sense of social awareness in our curricula. We do so by not only alerting our students whenever the content caIls out for issues of responsibilty, but also by offering specific courses reflecting on data science. Such courses typically offer historical, philosophical and sociological reflection on the --emerging-- discipline and its social relations. A simple first gain is to familiarize our students with other discplines, thus offering the opportunity to avoid professional short-sightedness. The more fundamental harvest is what philosophy, ethics, media studies, history, sociology have on offer as insights into the social aspects of data science.
A brief example: in his classic Turing's man, Jay D. Bolter show how computer scientists, and by their example society at large, tend work from the implicit assumption that the world is information. In a similar vein Lisa Gitelman exposes in Always already new and other books how perceiving reality in terms of data has become "only natural" to us.
The illustrations are taken from the courses already in place in the UvA computer science and information science curriculum.
16:30-17:00 Speaker 2: Julia Noordegraaf (http://achi.uva.nl/profile/n/o/j.j.noordegraaf/j.j.noordegraaf.html?origin=wtzfRUm8Qg6PCF4tloQw%2Fw), Professor of Digital Heritage, Faculty of Humanities, University of Amsterdam on "Analyzing AV Sources as Data: Experiences Gained with Designing the CLARIAH Media Suite"
Abstract: Humanities scholars work with unstructured data: information about human culture stored in books, archival records, audiovisual sources and other carriers of information. Traditionally, the data from these various sources were extracted and processed in the mind of the scholar. With the growing availability of these data in digital form, the tasks of extracting and combining information from various datasets becomes mediated by computational tools. In order to support scholars in working with digital data, a high level of transparency is required: scholars want to know exactly where the data originate, how they have been processed and manipulated, and what this means for their results and interpretation. In this lecture I will discuss our experiences in designing the CLARIAH research infrastructure for media studies research, focusing on the requirements regarding the transparency of data and tools.
17:00-17:30 Speaker 3: José van Dijck (https://www.uu.nl/medewerkers/JFTMvanDijck/0), President Royal Netherlands Academy of Arts and Sciences (KNAW), Distinguished University Professor, Utrecht University on "Public values in a global data society"
Abstract: Online digital platforms have penetrated every sector of American and Western-European societies, disrupting markets and labor relations, circumventing institutions, and transforming social and civic practices. Platforms steer users’ behavior and social traffic that is increasingly data-driven and algorithmically organized. They are gradually infiltrating in, and clashing with, the institutional processes through which European democratic societies are organized. The emerging ‘platform society’ involves an intense struggle between competing ideological systems and contesting societal actors—market, government and civil society—raising important questions like: Who is or should be responsible and accountable for anchoring public values in a platform society?
Public values include of course privacy, accuracy, safety, and security, but they also pertain to broader societal effects, such as fairness, accessibility, democratic control, and accountability. Public values and the common good are the very stakes in the struggle over the platformization of societies around the globe. At the heart of the online media’s industry’s surge is the battle over information control: who owns the data generated by online social activities?
Biography: José van Dijck is a distinguished university professor at the University of Utrecht (The Netherlands) and the president of the Royal Netherlands Academy of Arts and Sciences. Van Dijck’s academic discipline is media studies and her field of interests ‘digital society.’ She received her PhD from the University of California, San Diego, (USA) in 1992. Her work covers a wide range of topics in media theory, media and communication technologies, social media, and digital culture. She is the author of six books, three co-edited volumes and approximately one hundred journal articles and book chapters. Van Dijck’s book The Culture of Connectivity. A Critical History of Social Media (Oxford UP, 2013) was distributed worldwide and was recently translated into Spanish. She is currently working on a book with Thomas Poell and Martijn de Waal titled The Platform Society. Public values in a connective world; the Dutch version was published in November 2016 and the English book is due in 2018.
17:30 – Networking and drinks
On 15 February, we will hold our regular Responsible Data Science (RDS) seminar series, a joint collaboration of expert researchers from 11 knowledge institutions across the Netherlands: Academisch Medisch Centrum (AMC), Centrum Wiskunde en Informatica (CWI), Delft University of Technology (TUD), Eindhoven University of Technology (TU/e), Leiden University (LU), Leiden University Medical Center (LUMC), Radboud University Nijmegen (RU), Tilburg University (UvT), University of Amsterdam (UvA), VU Medical Center Amsterdam (VUmc), VU University Amsterdam.
The RDS initiative is driven by the omnipresence of data making society increasingly dependent on data science. Despite its great potential, there are also many concerns on irresponsible data use. Unfair or biased conclusions, disclosure of private information, and non-transparent data use, may inhibit future data science applications.
The RDS programme aims at generating scientific breakthroughs by making data science responsible by design. In RDS researchers from multiple disciplines connect to develop techniques, tools, and approaches to ensure fairness, accuracy, confidentiality, and transparency.
Big data is changing the way we do business, socialize, conduct research, and govern society. Data are collected on anything, at any time, and in any place. Organizations are investing heavily in Big data technologies and data science has emerged as a new scientific discipline providing techniques, methods, and tools to gain value and insights from new and existing data sets. Data abundance combined with powerful data science techniques has the potential to dramatically improve our lives by enabling new services and products, while improving their efficiency and quality. Many of today’s scientific discoveries (e.g., in health) are fuelled by developments in statistics, data mining, machine learning, databases, and visualization.
For more information see the Responsible Data Science website HERE (http://www.responsibledatascience.org)
Please note all our Meet-up events are open to all to attend, just register on our Meet-up page and RSVP to the specific event you would like to attend.