Big Data related events

BDMA2019 - 1st Big Data Management and Analytics Conference

Date and place: Sep 11-13, 2019, at Goethe University, Frankfurt am Main
Full event details:
Abstract submission: due July 1st, 2019.

The 1st Big Data Management and Analytics Conference brings together internationally known experts from academia and business to discuss the most recent innovations and technological advances for a wide range of applications in finance, healthcare, environmental monitoring, telecommunications, computing, defence and security. The conference programme incorporates highlight sessions and panel discussions covering a broad range of subjects in Big Data Management and Analytics:

- Mission-Critical systems at Big Data scale
- How Big Data is used to overcome healthcare gaps
- Artificial intelligence: Transforming the insurance industry
- Data Management in a Multi-Cloud and AI World
- Big Data in Environment and Human Health
- Data Analytics in social networks - good or evil
- Women in AI leadership


The Network Society Today: (Revisiting) the Information Age Trilogy
More information at

“Manuel Castells The Information Age Trilogy has been one of the most influential works to understand the societal change in the awake of the digital revolution of the last decades. It is, as Frank Webster (2002: 97) points out, one of “the most illuminating, imaginative and intellectually rigorous account of the major features and dynamics of the world today”. The theory of the network society developed in these books “open[ed] up new perspectives on a word reconstituting itself around a series of networks strung around the globe on the basis of advanced communication technologies” (Stalder, 2006: 1). Indeed, the work of Manuel Castells has influenced a generation of scholars, shaped a research agenda and has got important repercussions beyond academia (Bell, 2007).

2021 will mark the 25th anniversary of the publication of the first volume of Manuel Castells’, it is time to revisit the trilogy and explore the relevance of Castells’ pioneering work in the light of the current state of the network society and of the ways to research about it. Thus, our aim is to gather together scholars from a wide range of disciplines – Including Castells himself – to engage with the Trilogy and debate on its contributions, legacies but as well shortcomings and new developments not envisioned at the time of its launch to try to develop a critical perspective on future trajectories of the network society and the information age.

Workshop: Barcelona, 10-11 June 2020
23/06/2019 → Abstract submission. 500 words + up to 5 keywords
23/07/2019 → Communication of abstract acceptance
20/3/2020 → Full paper submission: 5.000 – 8.000 words (mandatory).


CARMA 2018: Call for Papers
Internet and Big Data in Economics and Social Sciences
2nd International Conference on Advanced Research Methods and Analytics

Date and place: July 12 - 13, 2018. Valencia, Spain
Full event details
twitter: @carmaconf

Scope: Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, the 2nd International Conference on Advanced Research Methods and Analytics (CARMA) aims to become a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges.

Important Dates:
Submission deadline: 23 March, 2018
Acceptance notification: 11 May, 2018
Camera ready due: 28 May, 2018
Conference: 12-13 July, 2018

Panel discussion and book launch of Digital Sociology by Noortje Marres

Date and place: 9 May 2017, 5 - 7 pm 

LVMH Lecture Theatre, Central Saint Martins, Granary Building, 1 Granary Square, King's Cross, N1C 4AA
Hosted by:  Innovation Insights Hub, University of the Arts London, Centre for Interdisciplinary Methodologies, University of Warwick. With: Les Back (Goldsmiths), Lucy Kimbell (UAL), Hannah Knox (UCL), Noortje Marres (Warwick), Mike Savage (LSE), and Amanda Windle (UAL)

The digital makes possible new ways of monitoring, analysing and intervening in social life. Critics have pointed at the new forms of surveillance and control that this makes possible, and to new types of data economies. But the creation of new forms of knowledge about social life is central to efforts to implement digital infrastructures: they enable the introduction of new kinds of actionable insight into society. At the same time, however, the liking-and-sharing economy has recently been exposed to serve power more than truth. In this context, how can we communicate the constructive potential of the insight that knowing is a social process? What can be the role of social research in digital societies? This is the issue that Digital Sociology (Marres, 2017) examines, and one that this event will explore by way of a panel discussion about the following proposition: in a digital age, "knowing society" becomes an inherently interdisciplinary undertaking, one that requires mutual engagement, and thrives on creative exchange, between computing, social sciences, and the arts.

Places are limited, so please register at

ALGORITHMS, AUTOMATION, AND NEWS: Capabilities, cases, and consequences

Date and place: 22 - 23 May, 2017, Munich, Germany

CALL FOR PAPERS: Conference, special issue & edited book

We live in a world increasingly influenced by algorithms and automation. The ubiquity of computing in contemporary culture has resulted in human decision-making being augmented, and even partially replaced, by computational processes. Such augmentation and substitution is already common, and even predominates, in some industries. This trend is now spreading rapidly to the fourth estate—our news media.

Algorithms and automation are increasingly implicated in many aspects of news production, distribution, and consumption. For example, algorithms are being used to filter the enormous quantities of content published on social media platforms, picking out what is potentially newsworthy and alerting journalists to its existence (Thurman et al., 2016). Meanwhile, automated journalism—the transforming of structured data on such things as sports results and financial earnings reports into narrative news texts with little to no human intervention aside from the original programming (Carlson, 2015)—grows apace. What began some years ago as small-scale experiments in machine-written news has, amid the development of big data broadly, become a global phenomenon, involving technology providers from the U.S. to Germany to China developing algorithms to deliver automated news in multiple languages (Dörr, 2016). And, algorithms are being used in new ways to distribute and package news content, both enabling consumers to request more of what they like and less of what they don’t and also making decisions on consumers’ behalf based on their behavioral traits, social networks, and personal characteristics (Groot Kormelink and Costera Meijer, 2014).

Altogether, these developments raise questions about the social role of journalism as a longstanding facilitator of public knowledge. What are the implications for human labor and journalistic authority? for concerns around news quality, transparency, and accountability? for notions of who (or what) does journalism? for how news moves among various publics (or not)? Ultimately, what happens when editorial functions once performed by journalists are increasingly assumed by new sets of actors situated at the intersection of human and machine? Ultimately, what do algorithms and automation mean for journalism—its people, purposes, and processes; its norms, ethics, and values; its relationship with audiences and public life; and its obligations toward data management and user privacy?

This three-part call—conference, special issue, and book project—takes up these and other questions by bringing together the latest scholarly research on algorithms, automation, and news. In particular, it seeks to organize research on capabilities, cases, and consequences associated with these technologies: explorations of the possibilities and perils, of theory and practice, and of comparative perspectives according to various sites and levels of analysis. Ultimately, we aim for research that provides a future orientation while grounded in appropriate historical context, contemporary empirical research, and rigorous conceptual development.

Full event details



Date and place: 22 - 23 Jun, 2017, Carleton University, Canada

Call for abstracts:

Increasingly pervasive in our daily lives, data are constituted through converging technologies and practices such as the internet of things, smart cities, drones and precision agriculture; global finance, credit scoring and data brokerage firms; surveillance, predictive policing and customer relation management systems, to name a few. Data are also generated by and flow through applications, software, platforms, and infrastructures that reshape how we play, work, eat, socialise, see ourselves, and know the world. In an era of data power, data have become agentic, especially when input into black-boxed algorithms and systems whose outputs are used to profile and sort us, influence the political economy, and for purposes for which no consent was given. Is this a 'fait accompli'?

To answer this question, the Data Power 2017 conference asks: How can we reclaim some form of data-based power and autonomy, and advance data-based technological citizenship, while living in regimes of data power? Is it possible to regain agency and mobilize data for the common good? To do so, which theories help to interrogate and make sense of the operations of data power? What kind of design frameworks are needed to build and deploy data-based technologies with values and ethics that are equitable and fair? How can big data be mobilized to improve how we live, beyond notions of efficiency and innovation?

This conference creates a space to reflect on these and other critical issues relating to data’s ever more ubiquitous power.

Papers and panel topics are invited on the following - and other relevant - topics:

  •     The political economy of data
  •     Data and journalism
  •     Theorising data
  •     The politics of data visualisation
  •     Data labour
  •     The social life of data and data-driven methods
  •     The politics of open and linked data
  •     Data-driven governance, surveillance and control
  •     Data, discrimination and inequality
  •     Social, ethical and legal issues
  •     Data citizens
  •     Data activism, citizen engagement and advocacy
  •     Data, genealogy and power
  •     Data power and violence
  •     Critical, cultural and feminist approaches to data
  •     Resistance, agency and appropriation

Full event details


3rd GESIS computational Social Science Winter Symposium

Date and place: 30 Nov - 1 Dec, 2016, Cologne, Germany

The CSS Winter Symposium 2016 will be a two-day event consisting of

  • an exciting program featuring a series of invited talks that will provide different perspectives on current advances and limitations of computational social science,
  • an open call for contributed posters and presentations that will provide opportunities for computational social scientists to present and discuss their own work,
  • plenty of possibilities for interdisciplinary networking including an evening event at the famous Cologne Christmas markets
Full event details


Big Data in health & Biology

Date and place: 25 - 27 Sep 2016, Heidelberg, Germany

This EMBL-Wellcome Genome Campus Conference on “Big Data in Biology & Health” will alternate between Heidelberg and Hinxton, to address the opportunities and challenges of “big data” analytics, advance basic research and explore translational opportunities. This timely interdisciplinary meeting aims to enable the European research community to participate in and help drive the future development of “big data” research, as well as raise further awareness for this new and relevant research direction in the life sciences.

Full event details


Interdisciplinary Winter School – What happens to the data in ‘Big Data’?

Date and place: 8- 12 February 2016

The core idea of this residential seminar is to reflect upon new practices of quantification and their political effects. Our intended perspective could be labeled “practical” and “technological”, since our intention is to trace the political effects of quantification practices via their, historical, material and methodological specificities (algorithms, tables, surveys, etc.). Furthermore, in contrast to much contemporary commentary and literature, we do not presuppose any rupture between standard statistical practices and “Big Data” (data-mining, machine-learning, etc.). In fact, the presence or the absence of this rupture is precisely one target of our interrogation.
Please find a proposal attached that gets to the flesh and bones of what we want to do and question throughout this week.


Applications should be sent to “” before the 1st of December (included) and must contain: 1° an abstract summarizing your proposal (max. 2 pages) ; 2° a motivation letter for participating to the residential seminar ; 3° a curriculum vitae.
The schedule of the event is as follow: 1° Proposals should be sent for the 1st December 2015 ; 2° Confirmation will be given for the 7th December 2015


Each participant will have a 45 minutes slot dedicated to their work (presentation and discussion), within one of the organized morning panels. We require full papers to be sent at least two weeks in advance to all the participants. Keynote Speakers give a public lecture and lead one morning panel, commenting on presentations and organising the discussion.
The four keynotes speakers have kindly accepted to participate in the event are: Emmanuel Didier (CNRS - University of California Los Angeles) ; Xavier Guchet (Paris 1 Panthéon-Sorbonne) ; Christoph Hoffman (Luzern University) ; Donald Mackenzie (Edinburgh University).
This winter school is put together jointly by four research projects and two STS groups: "Algorithmic Governmentality" (uNamur - ULB - Saint-Louis), Desktop Studies" (Zürich-Luzern), "Politics of genomic information - GIGS" (ULg), "Postgenomic Solidarity" (KUL), the STS Network Belgium, the “Counting Differently” STS working group at the University of Oxford.

Full event details


Call for Applications: World Social Science Fellows, Big Data in Urban Contexts, deadline 24 August 2015

Date and place: 30 November - 4 December, 2015, Xiamen, China.

CODATA is partnering the International Social Science Council in organising the World Social Science Fellows Seminar on Big Data in an Urban Context, 30 November to 4 December 2015, Xiamen, China.

ISSC invites applications from outstanding early career social scientists around the world to become World Social Science Fellows and participate in a seminar on Big Data in an Urban Context.  The seminar will be hosted by the International Council of Science International Programme Office on Urban Health and Wellbeing at the Institute of Urban Environment (IUE) in Xiamen, China.

Full event details


Film Screening: Datacatcher

Date and place: 21 May, 2015
Goldsmiths Cinema
Richard Hoggart Building
Goldsmiths, University of London
London SE14 6NW
6.30 pm – 8.30pm

Description: Datacatchers are handheld, location-aware devices that stream information about the local area drawn from dozens of "Big Data" sources. They were designed to highlight the sociopolitical topology of the city, as well as to prompt questions about data and its relation with lived experience.

Last year we finished production of over a hundred Datacatchers, distributed them to volunteers from the greater London area, and produced short films about their experiences. This event will be a chance to discuss the results informally with the design team and some of the participants.

Datacatcher is part of a five year project funded by the European Research Council conducted by a group of researchers based in the Interaction Research Studio at Goldsmiths, University of London.

Additional details about the project: 


Interfaces: Method and Critique for Designed Cultures
Date and place:  24 - 25 June, 2015
The Centre for Interdisciplinary Methodologies
The University of Warwick, UK

Description: Interfaces mediate any number of social issues and practices, from financial trading, business performance and ‘smart’ cities, to collaboration, media literacies, or the mediation of identity. Every social, economic or political practice that relies on a computer screen or similar technical device, whether this be a Bloomberg terminal, a ‘performance dashboard’, an organization website or a social media platform, is expressed through an interface. As the goal of many interfaces is to be invisible, seamless or intuitive, and since they require specific forms of expertise and design literacy in order to be studied, they are often ignored in social science and humanities research. And yet, as culture becomes ‘datafied’ and screens of all sorts are embedded and naturalized in urban and domestic settings, the study of interfaces cannot be left to user experience (UX) or human-computer interaction (HCI) designers. Indeed, the so-called data revolution means that social science and humanities research is increasingly interface work. We make interfaces. Our objects of inquiry are manifested via interfaces. Interfaces, in other words, are the medium of data.

This two-day event builds on recent intellectual work on interfaces (Hookway 2014, Halpern 2015, Drucker 2014, Andersen and Pold 2011, Galloway 2012, Chun 2011) to ask: How can we study culture and society through a focus on interfaces? How can we conduct research with interfaces? That is, how can we reflect on but also develop interfaces as part of our research? What historical legacies, of perception, attention, and control, can help us makes sense of contemporary interfaces? What are the critical possibilities for interface studies beyond the paradigm of usability?

The event will feature invited presentations from leading experts, training workshops, a roundtable discussion and a ‘networking’ dinner. The program is aimed at PhD candidates, but is open to anyone across the social sciences and humanities whose work engages with interfaces. Attendance is free, but places in the workshop sessions are limited. Ten travel bursaries of £200 are available to help with travel and accommodation.

The event is supported by the Economic and Social Research Council (Advanced Training and Multidisciplinary Training) and the Centre for Interdisciplinary Methodologies.

Confirmed participants include:
Orit Halpern (The New School, author of Beautiful Data)
Christian Ulrik Andersen (Aarhus University, editor of Interface Criticism)
Søren Bro Pold (Aarhus University, editor of Interface Criticism)
Olga Goriunova (CIM, University of Warwick)
Noortje Marres (CSISP, Goldsmiths)
Hendrik-Jan Grievink (Art Director and Designer, Next Nature)
Carolin Gerlitz (Digital Methods Initiative, University of Amsterdam)
Michael Dieter (CIM, University of Warwick)
Nathaniel Tkacz (CIM, University of Warwick)

Full event details


Web Science 2015

Date and place: 28 June - 1 July, 2015, University of Oxford, UK

Description: Web Science is the emergent study of the people and technologies, applications, processes and practices that shape and are shaped by the World Wide Web. Web Science aims to draw together theories, methods and findings from across academic disciplines, and to collaborate with industry, business, government and civil society, to develop our knowledge and understanding of the Web: the largest socio-technical infrastructure in human history.

The Web Science conference welcomes participation from all disciplines including, but not limited to, art, computer and information sciences, communication, economics, humanities, informatics, law, linguistics, philosophy, political science, psychology, and sociology, in pursuit of an understanding of the Web. This conference is unique in bringing these disciplines together in creative and critical dialogue. We particularly welcome contributions that seek to cross traditional disciplinary boundaries.

Following the success of WebSci'09 in Athens, WebSci'10 in Raleigh, WebSci'11 in Koblenz, WebSci'12 in Evanston, WebSci'13 in Paris, and WebSci'14 in Bloomington, for the 2015 conference we are seeking papers and posters that describe original research, analysis, and practice in the field of Web Science, as well as work that discusses novel and thought-provoking ideas and works-in-progress.

Possible topics for submissions include, but are not limited to, the following:

* Theoretical, methodological and ethical approaches for Web Science
* Web practices - individual and/or collective and/or institutional
* Humanities on the Web
* The architecture and philosophy of the Web
* Web Science approaches to Data Science and the Web of Data
* Web Science and the Internet of Things
* Social machines, collective intelligence and collaborative production
* Social Media analytics for Web Science
* Web economics, social entrepreneurship and innovation
* Web Science and Cybersecurity
* Governance, democracy, intellectual property, and the commons
* Personal data, trust, and privacy
* Web access, literacy, and development
* Knowledge, education, and scholarship on and through the Web
* Health and well-being online
* Arts and culture on the Web
* Data curation and stewardship in Web Science
* Web archiving techniques and scholarly uses of Web archives


DATA POWER: a two-day, international conference

Date and place: June 22 - 23, 2015, University of Sheffield, UK 

Description: Data make many promises. Through data, we can access opinions, feelings, behaviours, people, in real time, at great volume and at great speed. Tracking data is the holy grail. Data have the potential to transform all aspects of society, making all of its operations more efficient. Big data represent opportunities for social researchers to enhance understanding of human behaviour. The numbers speak for themselves.
But what is the cost of the data delirium (van Zoonen)? What kind of power is enacted when data are employed by governments and security agencies to monitor populations or by private corporations to accumulate knowledge about consumers in an increasingly ‘knowing capitalism’ (Thrift)? Because contemporary forms of data mining and analytics open up the potential for new, unaccountable and opaque forms of population management in a growing range of social realms, questions urgently need to be asked not only about who gets access to data and whose privacy is invaded, but also about control, discrimination, and social sorting – about data power. We also need to ask about the possibility of agency in the face of data power, of social groups sidestepping the dominating interests of big business and big government in our increasingly big-data-driven world. This conference creates a space to reflect on these and other critical issues relating to data’s ever more ubiquitous power. Keynote speakers include these fantastic commentators on data power:

·      Mark Andrejevic, Center for Critical and Cultural Studies, University of Queensland, author of AOIR book award winner Infoglut (2013);

·      Nick Couldry, London School of Economics, author and editor of 11 books & numerous articles, including ‘Big data from the bottom up’ (Big Data and Society);

·      Kate Crawford, Microsoft Social Media Research Collective, author of numerous articles on big data and Understanding the Internet: Language, Technology, Media, Power (forthcoming) (participation to be confirmed);

·      José van Dijck, Comparative Media Studies, University of Amsterdam, author of The Culture of Connectivity (2013);

·      Alison Hearn, Faculty of Information and Media Studies, University of Western Ontario, author of numerous articles on data, labour and subjectivity;

·      Richard Rogers, Digital Methods Initiative, University of Amsterdam, author of ICA book award winner Digital Methods (2013);

·      Evelyn Ruppert, Department of Sociology, Goldsmiths College, University of London, author (with Engin Isin) of Being Digital Citizens (forthcoming) & editor of Big Data and Society;

·      Joseph Turow, Annenberg School of Communication, University of Pennslyvania, author of The Daily You (2012), amongst many other publications.
Papers are invited on the following – and other relevant – topics:

   *   The political economy of data
   *   Data cultures (data and the cultural industries, data journalism)
   *   Data and the production of subjectivity and identity
   *   Theorising data
   *   The politics of data visualisation
   *   Data labour
   *   Emotional data
   *   The social life of data and data-driven methods
   *   The politics of open and linked data
   *   Data-driven governance, surveillance and control
   *   Data and discrimination
   *   The regulation of data mining
   *   Data citizens
   *   Resistance, agency, appropriation.


·      Whilst we welcome papers of all kinds, please note that this conference focuses on critical questions about data’s power. Papers which do not address critical, social questions will not be accepted.

·      Submit 250 word paper proposals<>by 16th January 2015. Decisions will be communicated by 30th January 2015.

·      The conference fee is £120 waged (approx. $190 / 150 euro, £80 unwaged/student (approx. $130 / 100 euro).

·      The conference will launch the special issue of The European Journal of Cultural Studies edited by Mark Andrejevic, Alison Hearn and Helen Kennedy, entitled ‘Data Mining and Analytics’.

·      DATA POWER is hosted by the University of Sheffield’s Digital Society Network, and the Department of Sociological Studies, both in the Faculty of Social Sciences.

·      The Steel City of Sheffield is one of the UK’s largest cities, close to the Peak District National Park in the heart of England, and with a fantastic cultural and creative life.


International Conference on Computational Social Science

Date and Place: June 8th-10th, 2015, Helsinki, Finland

Description: IC2S2 (International Conference on Computational Social Science) is an interdisciplinary event, where scientists of different areas will have the opportunity to meet and discuss about works where social systems and dynamics are investigated in a quantitative way through large datasets, either mined from various sources (e.g. social media, communication systems), or created via controlled experiments.


AI for Big Social Data @ FLAIRS-28

Date and place: May 18th-20th, 2015, Florida

Description: As the Web rapidly evolves, Web users are evolving with it. In an era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through social networks, online communities, blogs, Wikis, and other online collaborative media. In recent years, this collective intelligence has spread to many different areas, with particular focus on fields related to everyday life such as commerce, tourism, education, and health, causing the size of the Social Web to expand exponentially.

The distillation of knowledge from such a large amount of unstructured information, however, is an extremely difficult task, as the contents of today's Web are perfectly suitable for human consumption, but remain hardly accessible to machines. The opportunity to capture the opinions of the general public about social events, political movements, company strategies, marketing campaigns, and product preferences has raised growing interest both within the scientific community, leading to many exciting open challenges, as well as in the business world, due to the remarkable benefits to be had from marketing and financial market prediction.

The main aim of this Special Track is to explore the new frontiers of big data computing for opinion mining and sentiment analysis through machine learning techniques, knowledge-based systems, adaptive and transfer learning, in order to more efficiently retrieve and extract social information from the Web.


Big Data, Mobile Targeting and Social Media Marketing

Date and place: March 13th, 2015, LMU Munich, DE

Description: The exponential growth of data, the vast possibilities to store it and the improving capabilities for analysis have made Big Data a concept which seems to be ubiquitous. Big Data nowadays touches upon almost every sector of the global economy, and is considered one of the most important business trends for the next decade. 

We would therefore like to cordially invite you to the 3rd Big Data Conference at LMU Munich, to stay up to date on the latest trends in the field and network with other researchers and practitioners. The one-day conference on Friday, March 13, 2015 is organized by LMU Munich, New York University and Temple University and covers the topics of Big Data, Mobile Targeting and Social Media Marketing. The conference connects researchers as well as practitioners from areas such as strategy, marketing, IT, economics and statistics. 

You can expect interesting presentations on topics such as successfully linking Big Data and strategy, mobile targeting in different industries as well as analyzing unstructured social media data. We are looking forward to welcoming you, either as a participant or as a presenter. 


Data and life on the Street - Alex Taylor in the Citizen Sense "Sensing Practices" seminar series

Date and place: January 28th, 2015, 16:00 - 18:00, 138 RHB, Goldsmiths, University of London

Description: What does the pervasive production and use of data mean for our everyday lives? What relevance might data have in ordinary life—to community, citizenship, democratic participation, government, etc.—those facets of social life that are (whether we like it or not) important to us all? The Tenison Road project is a year-long project aiming to explore precisely these questions. The goal is to understand data from the perspective of ‘the street’ by working, collectively, with one road in Cambridge and participating in different forms of data-related activities. In this talk I’ll present some ways we have been experimenting with collecting, representing and using data that is locally relevant, and describe how they are directed at exploring new possibilities for collective participation, civic engagement, democracy, etc. and ultimately making a difference to daily life on ‘the street’.

Alex Taylor is a sociologist working at Microsoft Research Cambridge. He has undertaken investigations into a range of routine and often mundane aspects of everyday life. For instance, he's developed what some might see as an unhealthy preoccupation with hoarding, dirt, clutter and similar seemingly banal subject matter. Most recently, he’s begun obsessing over computation and wondering what the compulsion for seeing-data-everywhere might mean for the future of humans and machines.

Sensing Practices
The Citizen Sense research group is hosting a year-long seminar series on “Sensing Practices.” The series attends to questions about how sensing and practice emerge, take hold, and form attachments across environmental, material, political and aesthetic concerns. Rather than take “the senses” as a fixed starting point, this seminar series instead considers how sensing-as-practice is differently articulated in relation to technologies of environmental monitoring, data gathered for evidentiary claims, the formation of citizens, and more-than-human entanglements. How might these expanded approaches to sensing practices recast engagements with experience, and reconfigure explorations of practice-based research?


AAAI-15 Workshop: Scholarly Big Data: AI Perspectives, Challenges, and Ideas

Date and place: January 24th - 25th, 2015, Austin, TX, USA

Description: The workshop aims at bringing together researchers with diverse interdisciplinary backgrounds interested in mining, managing and searching scholarly big data using new AI technologies or analyzing their transferability from one domain to another. The topics of interest include, but are not limited to:

New AI approaches to measuring the impact of research funding and publications as well as the impact of researchers in a particular field of study; Identifying influential authors, experts, and collaborators within or across disciplines; Modeling the referencing behavior across disciplines; Automatic citation recommendation; Mining large digital libraries of scientific publications and linking to other databases such as funded proposals and patents; Identifying research trends and topics; Extracting relevant information from research articles, including an article's metadata and keyphrase extraction; Scaling up machine learning algorithms to large research and related datasets; Classification and clustering of scientific trends, publications, funded proposal, patents, etc.; Large scale linking of various entities, e.g., articles with articles by similarity, articles with their corresponding presentation slides, articles with the corresponding funded proposals; Presenting open-access, novel datasets (e.g., based on Wikipedia, DBpedia, United States Census Bureau data, Patent data, etc.) that can be linked to entities, and can help researcher develop novel technologies for analyzing scientific publications; Effectively indexing and searching large scale academic documents and other resources.


Digital Sociology, digital cultures, web science, data science... what's the difference?

Date and place: January 14th, 2015, 17:00 - 19:00, Goldsmiths, University of London

Description: The event is organised to reflect on different and innovative digital social science research approaches and programmes that have developed over the past several years. From digital sociology to web science, how is the question and challenge of digitisation being conceived and researched? What are the key differences between approaches and their consequences for how we do social science? Join the discussion and debate lead by short reflections on these questions by a panel of scholars from Goldsmiths, Warwick, Southampton and Canberra.

Chair: Evelyn Ruppert, Digital Sociology, Goldsmiths, University of London

Susan Halford, Web Science Institute, University of Southampton
Deborah Lupton, News & Media Research Centre, University of Canberra
Noortje Marres, Digital Sociology, Goldsmiths, University of London
Dhiraj Murthy, Digital Sociology, Goldsmiths, University of London
Emma Uprichard, Warwick Q-Step Centre, Centre for Interdisciplinary Methodologies, University of Warwick


The Australian Consortium of Social and Political Research Incorporated (ACSPRI) Conference Workshop: Big Data and the Social Sciences: What can we learn and do?

Date and place: December 7th - 10th, 2014, The University of Sydney, Australia

Description: Big Data – exceptionally large sets of often continuously generated heterogeneous observations that can be captured, aggregated, stored, and analyzed – is at an inflection point. This proposal makes the case for acknowledging the disruption and opportunities arising through ‘Big Data’ for advancing theory, research, and practice in the field of social, political, and managerial research. Outgrowing a techno-centric view, Big Data is not about the technology but the unprecedented connection of information that can be converted into something incredible meaningful. The topic proposed shall explore the emerging ‘Big Data’ phenomenon by 1) discovering new concepts, opportunities, use cases linked to Big Data; 2) discussing available resources, methods, tools to engage with Big Data; and 3) debating associated challenges and risks related to Big Data. It is therefore proposed to have multiple sessions comprised of scholarly and practitioner submissions that pan out over the conference duration. This topic indeed would attract a multi-disciplinary cohort from a range of contexts and different settings (e.g. sociologists, organizational researchers, data scientists).


International Conference on Social Computing and Networking (SocialCom) Conference Workshop: Analysing Social Media for the Benefit of Society

Date and place: December 3rd - 5th, 2014, Sydney, Australia

Description: Qualitative and quantitative social research has changed significantly with the rise of Web 2.0, which has enabled publishing of user-generated content on an epic scale. This ‘Big Social Data’ is most evidently manifested in the advent of social media platforms such as Twitter, Facebook, Google+ and MySpace, and its analysis is becoming incredibly important to the empirical study of society.

Recent academic studies of social media provide some interesting insights into the “online” society. They also highlight the importance of developing appropriate digital analysis methods and tools to enable researchers to capture, analyze and visualize the vast amount of data now becoming available. This workshop will be a blend of positional presentations, novel research presentations, discussions about the current status, emergent areas and trends in social media analysis.


IEEE Big Data Workshop on Challenges & Issues on Scholarly Big Data Discovery and Collaboration (SBD 2014)

Date and place: October 27th, 2014, Washington DC

Description: Academics and researchers worldwide continue to produce large numbers of scholarly documents including papers, books, technical reports, etc. and associated data such as tutorials, proposals, lab note books, and course materials. The abundance of data sources enables researchers to study scholarly collaboration at a very large scale. The ever increasing diversity of disciplines and complexity of research problems, particularly multi-disciplinary research, requires collaboration. Besides the traditional venues of collaboration where scholars typically meet annually at conferences or meetings, the Internet provides a wide range of platforms for scholars to engage with other scholars. These new platforms include academic sites such as, ResearchGate and Mendeley, more interactive social sites such as Twitter and Facebook, and Wiki-style virtual collaboration sites. These services allow scholars to share academic resources, exchange opinions, follow each other’s research, keep up with current research trends, and build their professional networks.Researchers increasingly realize that scholarly achievements should not merely be the final published articles. The datasets used in this study and many other intermediary results are equally important for supporting research. Therefore, a set of rapidly developing research topics, research data management, data curation/stewardship, data sharing policy, etc. are becoming important issues for research communities. The workshop aims at bringing together researchers with diverse interdisciplinary backgrounds interested in scholarly big data.


Reflections on Big Data: methodological challenges for sociological analysis and the promise of Web Science

Date and place: October 16th, 2014, 12:00 - 13:00, Goldsmiths, University of London

Description: The emergence of Big Data is both promising and challenging for social research. This lecture reflects on Halford's, Tinati's, Pope's, and Carr's recent article in Sociology which argues that realising this promise has been restricted by the methods applied in social science research, which undermine our potential to apprehend the qualities that make Big Data so appealing, not least in relation to the sociology of networks and flows. Using the micro-blogging website Twitter, they will reflect on methodological principles for approaching these data that stand in contrast to previous research and introduce new tools for harvesting and analysing Twitter built on these principles at the Web Science Institute at the University of Southampton. Their approach transcends earlier methodological limitations to offer original insights into the flow of information and the actors and networks that emerge in this flow.


Social Media & Society Conference

Date and place: September 27th - 28th, 2014, Toronto

Description: The Social Media & Society Conference (#SMSociety14) is an annual gathering of leading social media researchers from around the world.  Now, in its 5th year, the 2014 conference will be held in Toronto, Canada on September 27th – 28th, 2014.

The conference offers an intensive, two-day program comprising of paper presentations, panel discussions, and posters covering wide-ranging topics related to social media. Organized by the Social Media Lab, this year's conference features presentations by researchers and practitioners from over 100 institutions, hailing from 21 different countries! The keynotes will be given by Dr. Keith Hampton (Rutgers University) and John Weigelt (National Technology Officer, Microsoft Canada).


Informatik 2014 workshop: Big Data und Gesellschaft: interdisziplinäre Analysen

Date and place: September 22th, Stuttgart