1) Interventions in Big Data Politics (At the Politics of Big Data Conference) – May 8, 2015
Exercising agency within a politics of big data entails gaining a clearer understanding of what comprises the digital ecosystems which enable new social and economic relations. From metrics, to third parties, to the various futures of the visual web, this panel will present a series of interventions that make visible the infrastructures that actively support and enable ubiquitous algorithmic and data-intensive environments. Dr. Carolin Gerlitz will lead the discussion by unpacking how first order metrics such as counts of tweets, replies or hashtags are constituted, arguing that such apparatuses need to be seen as epistemic devices. Next, Dr. Jennifer Pybus will put forward data literacy as critical intervention for understanding the dynamic flows and processes that relate to the exponential growth of data. Finally, Dr. Farida Vis will discuss algorithmic accountability as it relates to the issues around seeing/not seeing and the futures of the visual web.
What counts in social media research?
While algorithmically calculated popularity rankings influence scores or relevance measures have faced increased critical inquiry, little attention has been paid to the composition of first order metrics, such as counts of shares, tweets or hashtags. But what do we actually count when we aggregate tweets, @replies, likes or shares? Metrics, the presentation suggests, need to be seen as epistemic devices, informed by diverse use cultures and platform politics. Based on empirical work on a 1% Twitter sample, the presentation suggests that metrics do not count but calculate and have to be considered as lively – animated by users, their practices and mediating devices.
Bio: Carolin Gerlitz is Assistant Professor in New Media & Digital Culture, member of the Digital Methods Initiative and conducts research on digital culture and methods.
Hacking the Social Life of Big Data
It is paradoxical that questions of agency arise in relation to big data, considering that collectively, we are a leading source of its generation. Data literacy, as conceptualized in the AHRC grant: ‘Our Data Ourselves’, will be put forward as a critical emergent field that is aiming to develop a set of competencies and knowledge to empower people to understand the dynamic flows and processes related to our steadily growing digital footprint. Key aspects of the digital ecosystems that facilitate the capture of big data on our mobile devices will be examined in relation to how gaining access to one’s own data, not only augments the agency of the individual but of the collective user.
Bio: Jennifer Pybus is Senior Lecturer in the London College of Communication at University of the Arts London.T
Visual Cultures of Big Data
The recent rise in social media platforms and apps focused on image sharing highlights a series of important issues in terms of the politics of big data. How do we deal with this recent explosion in image data? Images don’t lend themselves easily to computational techniques, which are unable to get at their meaning in any significant way. This presentation will highlight work from the Visual Social Media Lab, which works towards developing methodological and theoretical strategies for the capture and interpretation of social media image data at different scales. This work also draws attention to the need to consider wider cultures of visibility. For example: how do we get to see these images in our feeds and streams at all? Do we see them as images? This presentation therefore also highlights the need to interrogate these new regimes of algorithmic visibility, including questions around accountability.
Bio: Farida Vis is a Faculty Research Fellow in the Information School, at the University of Sheffield. She is the Director of the Visual Social Media Lab.
2) Hacking Mobile Ecosystem for Data: 15 May 2015 : 10:00-4:00pm
This is a hands-on event to gain a more practical understanding of the kinds of data mobile phone apps capture. Led by the well-known researcher Darren Martyn, whose background lies in penetration testing, reverse engineering and vulnerability discovery and exploitation. Participants will be given pre-rooted Android phones and will learn how to use app-reversal tools (like dex2jar; WireShark, etc.) and decompile apps. We will then see what kind of data an app asks for, whose analytics services it uses, and examine the traffic. Please bring your laptops, no hacking experience is required! This event welcomes participants of all levels of technological expertise.
3) Born-digital data in the Arts and Humanities: 21 May 2pm; King’s College London S-3.18
This event will critically investigate whether big born-digital information is the ‘Gold Rush of the Information Age’ (Marshall)for the humanities and what kind of advanced digital methods we need to develop in order to follow this excitement. The humanities have yet to see any systematic investigation of how born-digital information could be used for their research interest in the future. The event will bring together a number of key people who have started to work on born-digital information and how it can be used in the humanities. We will develop a plan on how to take this research forward in the next few years.
Bio: Jane Winters is a Professor of Digital History at the School of Advanced Studies, University of London. Currently, she is Principal Investigator of the Big UK Domain Data for the Arts and Humanities project; Co-Director of Digging into Linked Parliamentary Metadata; Co-Investigator of Traces through Time: Prosopography in Practice across Big Data; and Publishing Editor of the Bibliography of British and Irish History. She is also Executive Editor of the IHR’s journal, Historical Research and Associate Editor of Frontiers in Digital Humanities: Digital History.
4) Rethinking Data Privacy: 1 June 2015, 3pm-5pm
Event Abstract: Elements of Contextual Integrity as Guideposts for Privacy Research
According to the theory of contextual integrity, disruptions in the flow of personal information (often stemming from deployment of computational systems and digital media) are experienced as privacy threats not merely when they expose personal information or threaten our control over it but when they result in inappropriate flows. Appropriateness of flow is modeled by the construct of context-specific informational norms, which prescribe informational flows according to the parties involved (subjects, senders, recipients), the types of information, and constraints on flow between parties. Empirical studies promise a more nuanced, less ambiguous account of attitudes and behaviors relevant to privacy when taking account of these additional dimensions of analysis.
Helen Nissenbaum, Professor, Media, Culture, and Communication, NYU.
5) Playing with Data in the Ubiquitous Commons
Salvatore Iaconesi and Oriana Persico: 3 June 2015 – 10:00-18:00
King’s College London (Strand)
Playing with Data in the Ubiquitous Commons is a day-long performative workshop using Human Ecosystems–a series of technologies are combined to harvest and analyse public data. We will explore our collective data to gain insight on the flows of communication, information, knowledge exchange, and of the patterns for emotional contagion. Together participants will use techniques such as Natural Language Analysis, Geo-referencing, Machine Learning, Network Analysis, and various Computational Sociology techniques to gather information about the communities in the city, including the places, locations, times, topics, emotions, opinions which they express, and the social architectures which they describe. Outputs will range from a series of research insights; interactive visualizations or installations; game concepts to be enacted with different communities; models for community engagement, and their testing through playful modalities; the description and enactment of meaningful urban rituals which promote public, inclusive collaboration and participation to city life under one or more issues.
The workshop is an interdisciplinary, critical and playful approach to our material assemblages as data-subjects; that is, our ubiquitous data and information generation, which express relations, emotions, locations, opinions, behaviours and the potential inferences therein. Participants will collectively explore the data and present insights. People of all levels of technological expertise are warmly welcome.
Salvatore Iaconesi is an interaction designer, robotics engineer, artist, hacker. TED Fellow 2012, Eisenhower Fellow since 2013 and Yale World Fellow 2014.
Oriana Persico holds a degree in Communication Sciences, is an expert in participatory policies and digital inclusion. She is an artist and writer and she currently teach Digital Design at ISIA Design Florence.