This document contains the schedule for a data science event taking place on November 29th from 14:00-18:30 in room NAB314. The schedule includes 15-minute presentations on topics like big data practices, data as a design tool, gamification and crowd-sourcing, understanding game play behavior, big data and disasters, ethical challenges in data science, values in digital relations and prosperity theology, legible machine learning, data science applications in interdisciplinary research, and an MSc in data science program. There will also be coffee and discussion/drinks at the end.
"Social Innovation Hacktivism: from here to assemblages"
My slides from the First International Workshop on Social Innovation and Social Media (SISoM 2011), July, 21 2011, Barcelona, Spain
http://www.sites.google.com/site/sisom2011/
Mapping Experiences with Actor Network TheoryLiza Potts
My presentation from ATTW's annual conference. I talk about how we can better design for experiences if we first understand the context in which we are building products and services. This simple mapping system helps visualize these contexts.
Want more? Check out my book on social media and disaster, filled with more information on how to map networks using actor-network theory http://www.amazon.com/dp/0415817412
e-Research and the Demise of the Scholarly ArticleDavid De Roure
Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
"Social Innovation Hacktivism: from here to assemblages"
My slides from the First International Workshop on Social Innovation and Social Media (SISoM 2011), July, 21 2011, Barcelona, Spain
http://www.sites.google.com/site/sisom2011/
Mapping Experiences with Actor Network TheoryLiza Potts
My presentation from ATTW's annual conference. I talk about how we can better design for experiences if we first understand the context in which we are building products and services. This simple mapping system helps visualize these contexts.
Want more? Check out my book on social media and disaster, filled with more information on how to map networks using actor-network theory http://www.amazon.com/dp/0415817412
e-Research and the Demise of the Scholarly ArticleDavid De Roure
Innovations 2013 - e-Science, we-Science and the latest evolutions in e-publishing. STM International Association of Scientific, Technical & Medical Publishers. 4th December 2013, Congress Centre, Great Russell Street, London, UK.
What Actor-Network Theory (ANT) and digital methods can do for data journalis...Liliana Bounegru
Slides from a talk I gave at the University of Ghent on 21 October 2014 about how Actor-Network Theory (ANT) and digital methods can be used to study and inform data journalism.
Keynote for Wikimedia UK GLAM-WIKI conference, British Library, London, April 12, 2013.
https://uk.wikimedia.org/wiki/GLAM-WIKI_2013
Also presented at the National Museum, Denmark; Danish Broadcasting; Danskkulturarv.dk; the FIAT/IFTA conference; National Museum Congress, the Netherlands; Arts Council Norway annual conference; J. Boye, Copenhagen
Scope, scale, and speed are the focus of most of my work this year.
Designing Systems that Support Social BehaviorThomas Erickson
By looking at how people interact in face to face situations we can gain insights on how to better design online systems to support social behavior. In particular, this presentation argues that simple visualizations of the presence and activities of participants in online situations can be a valuable design approach.
The Big Tomato Fight: 40.000 people throwing squashed tomates at each other for one hour on last wednesday of August every year in Bunõl, Spain - it's La Tomatina.
What Actor-Network Theory (ANT) and digital methods can do for data journalis...Liliana Bounegru
Slides from a talk I gave at the University of Ghent on 21 October 2014 about how Actor-Network Theory (ANT) and digital methods can be used to study and inform data journalism.
Keynote for Wikimedia UK GLAM-WIKI conference, British Library, London, April 12, 2013.
https://uk.wikimedia.org/wiki/GLAM-WIKI_2013
Also presented at the National Museum, Denmark; Danish Broadcasting; Danskkulturarv.dk; the FIAT/IFTA conference; National Museum Congress, the Netherlands; Arts Council Norway annual conference; J. Boye, Copenhagen
Scope, scale, and speed are the focus of most of my work this year.
Designing Systems that Support Social BehaviorThomas Erickson
By looking at how people interact in face to face situations we can gain insights on how to better design online systems to support social behavior. In particular, this presentation argues that simple visualizations of the presence and activities of participants in online situations can be a valuable design approach.
The Big Tomato Fight: 40.000 people throwing squashed tomates at each other for one hour on last wednesday of August every year in Bunõl, Spain - it's La Tomatina.
What happens when the web2.0 architecture of participation meets the marginalised? What are the trends in web-enabled social innovation, and how can we encourage them.
Presentation given at the HEA Social Sciences learning and teaching summit 'Exploring the implications of ‘the era of big data’ for learning and teaching'.
A blog post outlining the issues discussed at the summit is available via: http://bit.ly/1lCBUIB
"'Tis true. There's magic in the Web: The Short and the Long of Co-Creation, Web Science, and Data Driven Innovation". Keynote for the DATA-DRIVEN INNOVATION WORKSHOP 2016 collocated with ACM Web Science 2016, Hannover, Germany, Sunday 22 May 2016
What Data Can Do: A Typology of Mechanisms
Angèle Christin .
International Journal of Communication > Vol 14 (2020) , de Angèle Christin del Departamento de Comunicación de Stanford University, USA titulado "What Data Can Do: A Typology of Mechanisms". Entre otras cosas es autora del libro "Metrics at Work.
The workshop opens with a discussion of how to repurpose digital "methods of the medium" for social and cultural scholarly research, including its limitations, critiques and ethics. Subsequently participants are trained in using digital methods in hands-on sessions. How to use crawlers for dynamic URL sampling and issue network mapping? How to employ scrapers to create a bias or partisanship diagnostic instrument? We also consider how to deploy online platforms for social research. How to transform Wikipedia from an online encyclopaedia to a device for cross-cultural memory studies? How to make use of social media so as to profile the preferences and tastes of politicians’ friends, and also locate most engaged with content? How to make use of Twitter analytics to debanalize tweets, and provide compelling accounts of events on the ground? Finally, the workshop turns to the question of employing web data and metrics as societal indices more generally.
Big Data for the Social Sciences - David De Roure - Jisc Digital Festival 2014Jisc
The analysis of government data, data held by business, the web, social science survey data will support new research directions and findings. Big Data is one of David Willetts’ 8 great technologies, and in order to secure the UK’s competitive advantage new investments have been made by the Economic Social Science Research Council ( ESRC) in Big Data, for example the Business Datasafe and Understanding Populations investments. In this session the benefits of the use of Big Data in social science , and the ESRCs Big Data strategy will be explained by Professor David De Roure.of the Oxford e-Research Centre and advisor to the ESRC.
Scraping the Social? Issues in real-time social research (Departmental Semina...Sociology@Essex
08 May 2012: Scraping the Social? Issues in real-time social research (Departmental Seminar Series)
Dr. Noortje Marres from Goldsmiths College
http://www.essex.ac.uk/sociology/news_and_seminars/seminarDetail.aspx?e_id=3414
Data Science in 2016: Moving up by Paco Nathan at Big Data Spain 2015Big Data Spain
The term 'Data Science' was first described in scientific literature about 15 years ago. It started to become a major trend in industry about 7 years ago.
O'Reilly Media surveys the industry extensively each year. In addition we get a good birds-eye view of industry trends through our conference programs and publications, working closely with some of the best practitioners in Data Science.
By now, the field has evolved far beyond its origins eclipsing an earlier generation of Business Intelligence and Data Warehousing approaches. Data Science is moving up, into the business verticals and government spheres of influence where it has true global impact.
This talk considers Data Science trends from the past three years in particular. What is emerging? Which parts are evolving? Which seem cluttered and poised for consolidation or other change?
Session presented at Big Data Spain 2015 Conference
15th Oct 2015
Kinépolis Madrid
http://www.bigdataspain.org
Event promoted by: http://www.paradigmatecnologico.com
Abstract: http://www.bigdataspain.org/program/thu/slot-2.html
ABSTRACT : Computational social science (CSS) is an academic discipline that combines the traditional social sciences with computer science. While social scientists provide research questions, data sources, and acquisition methods, computer scientists contribute mathematical models and computational tools. CSS uses computationally methods and statistical tools to analyze and model social phenomena, social structures, and human social behavior. The purpose of this paper is to provide a brief introduction to computational social science.
Key Words: computational social science, social-computational systems, social simulation models, agent-based models
Big Data can generate, through inferences, new knowledge and perspectives. The paradigm that results from using Big Data creates new opportunities. Big Data has great influence at the governmental level, positively affecting society. These systems can be made more efficient by applying transparency and open governance policies, such as Open Data. After developing predictive models for target audience behavior, Big Data can be used to generate early warnings for various situations. There is thus a positive feedback between research and practice, with rapid discoveries taken from practice.
DOI: 10.13140/RG.2.2.14677.17120
Uma visão geral sobre Reality Mining e pesquisas que foram e estão sendo desenvolvidas neste contexto. O conteúdo dos slides foram extraídos dos estudos e experimentos do MIT Media Lab (http://hd.media.mit.edu/) dirigido pelo Prof. Alex Pentland
Data Science Innovations : Democratisation of Data and Data Science suresh sood
Data Science Innovations : Democratisation of Data and Data Science covers the opportunity of citizen data science lying at the convergence of natural language generation and discoveries in data made by the professions, not data scientists.
Exploring Research Opportunities in the Digital EraTogar Simatupang
The focus of this presentation is to specialize in the field of business sciences in areas that include entrepreneurship, finance, big data, and technology, operations and logistics, and human resources.
Tfsc disc 2014 si proposal (30 june2014)Han Woo PARK
Technological Forecasting and Social Change Special Issue
http://www.journals.elsevier.com/technological-forecasting-and-social-change/
Special issue title
Open (Big) Data as Social Change: Triple Helix Innovation toward Government 3.0
Associated conference
The 2nd Annual Asian Hub Conference on Triple Helix and Network Sciences (DISC 2014) on Data as Social Culture: Networked Innovation and Government 3.0, to be held on December 11-13, 2014, in Daegu and Gyeongbuk (Gyeongju), Rep. of Korea.
Call for Papers: http://www.slideshare.net/hanpark/disc-2014-cfp-v3
The conference is organized by Asia Triple Helix Society (ATHS). Point of contact: Secretary to Prof. Dr. Han Woo Park (info.disc2014@gmail.com), Department of Media & Communication, YeungNam University, 214-1, Dae-dong, Gyeongsan-si, Gyeongsangbuk-do, South Korea, Zip Code 712-749.
Associate Editors: Managing Guest Editors (MGE)
Wayne Weiai Xu, Doctoral Candidate, SUNY-Buffalo, USA, weiaixu@buffalo.edu
Dr. In Ho Cho, YeungNam University, Rep. of Korea, haihabacho@gmail.com
Important Dates
DISC 2014: 11 to 13 December 2014
Full paper submission: 1 March 2015
Review & Revision period: 1 September 2015
Online Publication: 1 December 2015
* We are also open to non-conference submissions to the special issue. However, the priority will be given to papers presented at the DISC 2014 and its associated seminars.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Leading Change strategies and insights for effective change management pdf 1.pdf
Data socialscienceprogramme
1. {Data|Social} Science!
29/11/13 14:00-18:30 NAB314!
!
14:00 Introduction!
!
14:15 Big Data Practices !
Evelyn Rupert!
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14:30 Data as Design Tool!
Rebecca Fiebrink!
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14:45 Gamification, visualisation and crowd-sourcing!
Frederic Fol Leymarie!
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15:00 Understanding Game play behaviour!
Jeremy Gow!
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15:15 Big Data and Disasters!
Dhiraj Murthy!
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15:30 Coffee!
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15:45 Ethical Challenges for Data Science!
Dan McQuillan!
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16:00 Values in modern digital relations and traditional prosperity theology!
Bev Skeggs!
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16:15 Legible Machine Learning!
Marco Gillies!
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16:30 On some Data Science applications in interdisciplinary research !
Daniel Stamate!
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16:45 MSc Data Science!
Daniel Stamate!
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17:00 Discussion and Drinks!
!
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2. Big Data Practices !
Evelyn Rupert!
!
I use the term ‘Big Data practices’ to suggest that what is ‘big’ about Big Data are changing
practices that are reconfiguring four kinds of relations: social, method, data, and research.
I’ll focus on the latter and how our academic craft is generating Big Data from online
research articles to other forms of digital content such as websites, databases, blogs,
profiles, images, tweets, podcasts and so on. Through these online mediums academics
are re-versioning and multiplying their research outputs such that the main output – the
research article – is but one of a larger and longer process of relations and practices
accumulated as data on the internet. How might we think about this? I’ll respond to this in
relation to the journal I am editing, Big Data & Society. I’ll discuss how we are organising
the journal as a digital space for linking out to related content and developing a ‘lively’ logo
built on the co-word analysis of journal keywords to explore how it is part of the practices
making up what ‘is’ Big Data.!
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Data as Design Tool!
Rebecca Fiebrink!
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Gamification, visualisation and crowd-sourcing!
Frederic Fol Leymarie!
!
Gamification, visualisation and crowd-sourcing, with as an illustration our new BBSRC
grant: DockIt: a Crowd-Sourced Molecular Docking Puzzle Game. I will address the
potential to apply this approach to other complex big data & analytics problems, in
particular in the realm of smart-cities.!
Information retrieval: the need for better multimedia search search and data management.
I will illustrate what we can contribute with recent on-going research on a novel way to
search on images using shape information; work funded in part by the EU FET project
CEEDs. I will say a few words about CEEDs as well, which focuses on novel interfaces for
human user dealing with complex big data problems: http://ceeds-project.eu/!
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Understanding Game play behaviour!
Jeremy Gow!
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Big Data and Disasters!
Dhiraj Murthy!
!
Though natural disasters are product of meteorological, seismic, and other physical
actors, they are always social events. Specifically, the ways in which warning occurs,
disasters are responded to, and how reconstruction takes place are all mediated by
sociopolitical factors. These three time envelopes of pre-disaster, diaster, and aftermath
are particularly important in studying disasters. Social media is 'always on' and ubiquitous
and these traits have meant that data is being generated during all three time periods. The
volume of data being collected on various social media is immense and easily places it
within the category of Big Data. My recent work has been focused on data from Hurricane
Sandy. The storm caused over $65 billion in damage, making it the second costliest storm
in U.S. history. In this project, I examine the behavior of Twitter users from October 22,
2012 to November 3, 2012, using mentions, links and hashtags for data analysis. We
found that certain Twitter rose to prominence depending on the stage of the storm. For
example, in the days following Hurricane Sandy’s initial landfall, users became more
3. interested in relief efforts. Data was collected from October 22, 2012 to November 3, 2012,
giving a two week window of Twitter activity. We utilized the Twitter API to collect geolocated tweets from 50 major US cities. Tweets were filtered for three storm related terms:
“hurricane”, “storm” and “sandy”, yielding a total of 142,768 tweets. A second project I am
working on refined this data by following any links to Instagram images within the tweet.
This search returned 11,964 Instagram images that were hand coded into thirteen
separate categories. By studying these images, we were able to discern which categories
rose to prominence during the three time envelopes. For example, food images were
mostly dominant pre-disaster and during the disaster, damage-related images were
dominant. The data and methods of both projects will be briefly introduced.!
!
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Ethical Challenges for Data Science!
Dan McQuillan!
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This presentation will interrogate key ethical challenges that are arising at the borders of
social science and computing, and will suggest some approaches to transform these
tensions into productive lines of research. In a post-PRISM environment, big data research
needs distinguish itself from surveillance. 'Because we can' is not an adequate rationale
for researching social media and the data exhaust because it is indistinguishable from the
dynamics of the NSA on one hand and Silicon Valley on the other. Do ethics committees
understand the implications of heterogenous metadata better than the judiciary who failed
in their oversight of PRISM? Further, the algorithms are as important as the data- a
computing-based understanding of algorithms must be combined with a sociological
appreciation of their consequences. We are already seeing a proliferation of 'predictive
methods' with the application of data science and machine learning to everything from
Wonga loans to drone strikes. Rapid development of methods is outpacing the
development of a social framework for their governance. By drilling down to issues of!
data construction, and looking at algorithms through a combination of Foucault and
cybernetics, this presentation will propose participatory methods as an important new line
of development in data science, and suggest that emerging areas of citizen science are
finding an appropriate balance of the empricial and the ethical.!
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Values in modern digital relations and traditional prosperity theology!
Bev Skeggs!
!
There has been a great deal of interest in how capital has intervened in almost every area
of life, leading some to propose new forms of capital eg ‘emotional capitalism’, and others
to suggest that processes of valuation are now the major method for understanding the
social world. Whilst, no doubt, capital behaves according to its own logic, finding new lines
of flight, converting affects into value, making multi-culturalism marketable, generating !
new forms of bio-capital, and making many of our actions subject to the logic of
calculation, this project asks if anything is left behind. Is there anything that cannot be
capitalized upon? Many social theories reproduce the logic of capital. But if we only
understand the world from the perspective of this logic what do we miss seeing? My !
previous research projects have drawn attention to how values are formed beyond value,
unnoticed and unseen, producing new ways of being and doing in the world, organized
differently through spatial and temporal co-ordinates. This project consolidates and
expands this analysis by exploring values (and their relationship to value) through two limit
cases that attempt to convert all values to value: modern digital relations and traditional
prosperity theology. !
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4. Legible Machine Learning!
Marco Gillies!
!
This talk will give an overview on research that uses machine learning as part of a tool to
enable actors and ordinary gamers to design the movement and behaviour of a virtual
character. They use data of their movements as the means for customising the algorithms
that control the characters. The key challenge in this work is how to debug the models
when they go wrong and do not work as intended. Learning algorithms are often opaque,
even to expert researchers, making them difficult to debug. This research has lead us to
the importance of designing algorithms and tools that are legible to users. This means that
they must support a clearly legible conceptual model both in their interface and the
algorithm itself. We will conclude with a brief discussion of how this might apply to data
research in the social sciences. !
!
On some Data Science applications in interdisciplinary research !
Daniel Stamate!
!
We present a series of applications of Machine Learning, Statistical Data Mining and Big
Data Analytics and research work in: (a) predicting medical treatment outcomes based on
genotype data in medical sectors in which efficient treatment prescribing is paramount but
in which the trial and error approach to prescribing a working treatment is current practice;
(b) diagnosing cancer patients based on gene expression data; (c) the evaluation of
forecasting models in the renewable energy sector (wind time series); (d) web mining and
sentiment analysis; (e) mining census data. A brief introduction of the new Data Science &
Soft Computing Lab and its activity will conclude this presentation.!
!
16:45 MSc Data Science!
Daniel Stamate!
!
We outline the profile of this new MSc programme in Data Science, and the opportunities it
brings to its students in particular in studying cutting edge Data Science technologies, and
in being exposed to and potentially involved in interdisciplinary research work in the
College, to which these students could contribute with their expertise in Machine Learning,
Statistical Data Mining, and Big Data Management and Analytics during their final project
work or possibly in subsequent PhD study. These fields inspire new trends indeed not only
in industry but in any other sector of activity, including research, in which processing and
analysing data brings unprecedented challenges and offers unprecedented opportunities.
In this presentation we want also to suggest concrete ways in which the Data Science
MSc's students could be offered the opportunity to be inspired by the interdisciplinary
research activities developed in the College's departments, opportunity which could
potentially be followed by the involvement of some of these students in these activities.