Computer Science, Optimization, Statistics, Machine Learning

Name: Dr Ramine Tinati Document: Cover Letter

Please find below my cover letter for the role of Data Scientist at Matthew Hoyle Financial Markets. Below is a summary of my background, experience, and interests. I believe that my profile is an excellent match for the role advertised, and as a person, I align closely with the work ethic and values of MHFM. For a fuller set of technical skills, industrial experience, and employment, please refer to my resume. About Me. I am a passionate, high-performing individual who pursues both academic research and consulting activities. I have been fast-tracked through several post-doctoral roles, and achieved a senior research fellow role in less than three years. I lead on several international research activities in the areas of computer science and Web Science, and in addition, I consult for several international companies developing digital products within the public relations, Web advertising, and start-up sectors. I have always been driven to work at the intersection between academic and real-world problems, which is reflected by my previous projects and collaborations with commercial or non-academic partners. Over the last 4 years I have gained extensive experience on critically analysing and evaluating academic and business problems, with an emphasis on digital technologies. I wish to now take my experience and use them to work with others to solve the challenges faced by MHFM. Background. I was initially trained as a Computer Scientist (BSc Honors), and subsequently undertook a Master and PhD specialising in modelling the adoption of digital technologies. My thesis was interdisciplinary by nature, and used computational modelling and social theories in order to derive a deeper understanding of how to integrate technology into existing and new communities of practice. During this time, I gained extensive expertise in understanding the role of technology in a given sector, and more broadly, how the process of adoption is applicable to multiple sectors. My work also was supported by a global leader in public relations, and in turn I developed their engagement strategy with regards to modern social media technologies. Capacity. I have outstanding analytical, communication, and writing skills. I can adapt to meet the needs of being a team member and leader, and have extensive experience in working in small teams focusing on highly-specialised areas of investigation. I regularly work on multi-disciplinary projects, tacking complex socio-technical issues. My academic training has enabled me to be able to engage and synthesise ideas from multi-disciplinary teams, which I believe is an invaluable resource for working in a highly-complex environment such as those faced by MHFM. I am also an extremely efficient independent worker and highly goal driven, and believe that meeting deliverables play a strong factor in the success of a project.

Drive. I pride myself in being able to work to the highest level, with the upmost competence and confidence. I have an extremely strong work ethic, and strive to ensure that myself and colleagues around me work to the best of our abilities. As part of this commitment, I ensure that I remain up-to-date with the latest developments within the digital and research sector. I have a strong interest in academia and commercial activities, and as a result, I follow closely the digital sector in terms of the latest start-ups, funding, and disruptive markets. I believe that this highly valuable in order to make informed decisions about the future development of the digital sector Engagement. I work closely with both academic and industrial partners in projects to test various strategies of technological engagement and change. Projects typically range from 1-6 months, and are both research and product driven, from asking questions about the use of a new technology, to the integration of specific features in order to improve a product’s engagement. I ran the first Lloyds Register Foundation’s grant for research on transformative technologies in the big data sector, spaces. I established cross academy-industry relations, and develop an understanding of the challenges faced in industry, and how academic research institutes can support and bridge these challenges.

Forefront. What distinguishes me from other candidates is my experience for developing the analytical platforms for several international digital-first companies I have led on cross-sector projects (e.g. digital engagement, E- Health, cybersecurity, smart cities, IoT), and in particular for this role, I have worked with local Singaporean and start-ups at several of the highly-regarded national academic institutes. I also believe that my communication skills are a desirable asset, I am able to articulate problems clearly, drive discussions, and I am particularly passionate about ensuring meetings are action-driven.

Thank you for taking time reviewing my cover letter and resume and considering my application. I am excited by the opportunity, and I look forward to hearing from you to discuss my experience and suitability. Please don’t hesitate to contact me with the contact details provided above. Resume – Dr Ramine Tinati

Tel: +447********* Email: ************@*****.*** Skype: ramine.tinati WWW: http://raminetinati.co.uk Address: Flat 3, Welbeck Court, 61-63 Welbeck Avenue, Southampton, Hampshire, SO17 1ST, UK Current Appointment

2017 – Present New Frontiers Fellowship, University of Southampton. A prestigious 5-year research fellowship to investigate the expanding area of social computing. My research focuses on several topics within social computing and computer science including: Crowdsourcing, HCI, and AI. As part of the Fellowship I'm interesting in collaborating with industry interested in topics associated with the study, design, and analysis of crowdsourcing and online community platforms. I am also supporting the faculty with teaching and supervision responsibilities, and I am currently involving in teaching the Data Science curriculum

Previous Appointments

2016 – 2017 Senior Research Fellow, SOCIAM Research Project, University of Southampton. Researched stream processing and analysis techniques using cloud, big data and in-memory database solutions. I was also the lead architect for developing end-to-end analytical pipelines for social network and online community analysis. I contribute to the field of information retrieval, data mining, crowdsourcing, and human-computer interaction, with a particular interest towards the analysis of user-generated content, and improving user experience. 2013 – 2016 Research Fellow, SOCIAM Research Project, University of Southampton 2011 – 2013 Research Assistant/Engineer, Web and Internet Science, University of Southampton 2009 – 2010 Systems Analyst. JP Morgan Chase. Bournemouth, United Kingdom 2005 – 2009 Hardware and Network Engineer, Computers at Torrington (CAT), Devon Education

2010 - 2013: PhD. University of Southampton, Electronics and Computer Science Thesis: Towards an understanding of Web growth: an empirical study of socio-technical Web activity of Open Government Data

(Contributions to HCI and Web Science)

The thesis models the growth of Web platforms. Grounded in computational modelling, and informed by theory, the thesis derives a novel approach to conceptualize the growth and interaction of the Web at the macro and micro-level. This was achieved via the developed and evaluation of a computational model for the identification, classification, and clustering of individuals and entities on Web-scale communication and social networks.

2009 - 2010: MSc Web Science (Awarded DTC Scholarship) – Distinction. University of Southampton Dissertation: Bridging the Gap between the User and Technology for a Future in Web Science

Web Technologies

Rich Internet Applications

Semantic Web Technologies

SNA/Network Analysis

Research Methods

Research Planning

Qualitative and Quantitative

Research

Interdisciplinary Research

Social and Politcal Theory

2006 - 2009: BSc Computer Science (with Honours). University of Southampton

Advanced Programming

Software Engineering

Computer Architecture

Data Structure and Algorithms

AI/Machine Learning

Advanced Computer Networks

Scripting Languages

E-Business Systems

Operating Systems

Compiler Engineering

Human Computer Interaction

Software Analysis and Design

Distrubuted Systems

Database Systems

Management

2004-2006: A-Levels. North Devon College, Devon, UK Subjects: Computing, Mathematics, Physics, Electronics 1997-2004: GCSEs. Great Torrington Community School, Devon, UK 10 GCSE, 3 A*’s including Mathematics and Science’s, 6 A’s consisting of Humanities, Languages, and Technology Programming Languages and Technologies:

Java/ JavaScript

Python

C/C++

SQL/SPARQL/Mongo

GWT/Vaadin/Play

Formal Modelling (B Spec)

HTML/PHP

Web Services/CORBA

Hadoop/Hive/MapReduce

R/Matlab/SPSS

Nvivo/Atlas

System Design/ Requirements

Elicitation

Microsoft Office and Visual

Studio

Hardware/Network

assembly/fault finding

Research Interests:

Human Computation

Crowdsourcing

Network Science

Machine Learning

Data Mining and IR

Methods for Data Science

Awards

Digital Economy Digital Crucible Programme, 2017. – London, England

RDA Early Careers Award – Jan 2016. To support the 7th Plenary RDA Meeting, Tokyo, Japan

Visiting Researcher, Library of Congress, Kluge Center

5 Year New Frontiers Fellowship Award – University of Southampton

12-month ERCIM Fellowship award - Fraunhofer, Bonn. Personal Research Grants

December 2014 –Strategic Interdisciplinary Research and Development Fund for data-analysis project

June 2014 –Microsoft Azure computing infrastructure to conduct Big Data Analysis

June 2015 –Microsoft Azure computing infrastructure for Web Observatory Capacity Building

August 2015 – Lloyds Register to investigate novel techniques for unstructured data analysis. Co-Investigator.

September 2015 –from WSI Strategic Interdisciplinary Funding for research into Citizen Science platform design.

February 2016 –RAEng Ingenious Awards: Microscope Development to promote scientific discourse

July 2016 –Research into Asthma intervention mechanisms using Smartphone technology Patents

2015 - “Methods, Systems, and Devices for Analyzing Social Media Content”. (US20140280639) - Patent is for an algorithm that classifies different entities within a graph based upon their dynamic network properties

(https://www.google.com/patents/US20140280639)

Projects

Flow140: Social Influence Analysis – A temporal social network analysis application that provides real-time and historic views of social network graph data. Flow140 contains a novel classification algorithm (patent pending) that identifies different user roles within a network and provides a method of analysing information propagation.

SOCIAM MacroScope – A 6-screen, real-time analytical interface. The MacroScope provides an observational and analytical lens on various different Web streams in real-time. The MacroScope also provides an interactive interface to allow participants to filter and aggregate multiple streams of data.

Web Observatory – A set of full-stack Web services which provide the core infrastructure and interface to the collection and integration of multiple sources of Web data. This is an ongoing large-scale, multi-team project in which I have been supporting and coordinating. My pa particular focus is on the back-end infrastructure, engineering scalable solutions for the increasing volume of data storage and querying.

Reactive Crowdsource Engine– A set of Web and cross-platform mobile services to enable rapid deployment of data collection and crowdsource tasks. Reactive crowdsourcing offers emergent activity on the Web (e.g. a new trending event) to be captured, processed, and then sent to a crowd to perform different crowdsourcing tasks (e.g. translation, verification).

Disaster Management Smartphone App – A smartphone application developed in order to conduct research into the use of mobile technology during and post a disaster. Build in collaboration with the Krumbs Toolkit, led by Professor Ramesh Jain, UCI. International Collaborations / Research Exchanges

National University of Singapore (NUS), Singapore – a 10 day visiting researcher exchange. Working on a series of cross-institute research projects relating to data analytics and visualisation within the domain of health and wellbeing.

Library of Congress Kluge Centre, Washington DC, US – A 2-week research visit to develop tools to enable the enrichment of the digital content in their archives. Conducted as part of an ongoing research project into using meta-data for data enrichment and discoverability.

Archives Unleashed / Rutgers, New Jersey, US – Supported and took part in the archives unleashed research activities related to the discovery and use of archive data within computational social science research

CSAIL MIT, Boston, US Conducted a series of research visits with the Distributed Information Group pertaining to the development of decentralised systems on the Web.

Eyewire / Princeton, New Jersey, US – An ongoing collaboration between Eyewire (a citizen science project), and my research team. Exploring the role of crowdsourcing, and developing metrics to evaluate their performance.

University of Irvine, California, US - Research trip to explore new methods for large scale data analysis. I worked with the department of computer science and artificial intelligence, under Professor Ramesh Jain.

Internet Archives, California, US – Conducted several research/training visits in order to develop expertise with the archiving method used at the Internet Archive

Stanford University Library / Common Crawl, California, US – Led a data workshop with the Common Crawl in order to explore the use of archive and Web crawls for data analysis.

National University of Singapore, Singapore –2 research visits and supported a Student Winter School on Big Social Data analytics.

KAIST, South Korea – Led 2 research exchanges exploring research on technology for disaster management and prediction.

Tsinghua University, China – Led 2 Winter schools (2013, 2015) on data analysis and computational social science. Also part of an ongoing collaboration for developing large scale data analysis toolkits for distributed environments

University of Adelaide / Government of Adelaide, Australia - A week long research workshop investigating the use of meta-data for enriching open government data. I also took part in a 1-day workshop with government representatives.

University of Wellington, New Zealand. – a 10-day research visit to investigate the use of a new analytical technical technique for information discovery and retrieval

IIIT-Bangalore, India. Conducted 2 research visits and workshops related to the Web Observatory project and data analysis.

Qatar Computing Research Institute (QCRI), Qatar. A research visit to discuss the CrossClouds and SOLID project. Part of ongoing activities into distributed mechanisms for data discovery and storage

Fraunhofer, Bonn, Germany. Research and development of the Web Observatory platform, and Hadoop infrastructure. Consulting

Edelman Ltd. Working directly with their Chief Technology Officer and digital engagement team in order to develop and transform their approach to using social media and other social platforms for support their client portfolio.

Switch Concepts. Advising on their technical strategy and technology stack for Web advertising and real-time ad placement.

Arup. Supported the development of their international data science engagement strategy for training their new line of data science specialists.

Z21. Provided technical guidance and leadership to support the selection and on-boarding of new ventures for a medium-sized startup incubator located in the United Kingdom.

WSI Trust Improving the Web and Internet Science Trust’s digital engagement processes.

Queensland/South Australian Government. Digital Engagement workshops to advice of improve current strategies for open data technology and usage.

Invited Talks Tradeshows Demos

Talks

Third International Workshop on Disaster Management. KAIST, South Korea, Sept 2016

Web Observatory Seminar. Library of Congress, Washington DC. May 2016

Social Computing Research Seminar. QCRI, Qatar. March 2015

Online Communities and Social Machines - Seoul National University, July 2015

Big Data and Social Media: Challenges and Approaches – Cambridge University, May 2015

Government as a Social Machine – University of South Australia, Adelaide, Australia. April 2015

Social Analytics on the Web – IIITB, Bangalore, India. Feb 2015

Big Data methods and analysis – NUS, Singapore. October 2014

Web Observatories. USC and UCI, USA. March 2014

Data analytics and Visualisations for Web Observatories. IIITB, Bangalore, India. February 2014

Web Observatories, Platforms for Big Data. Workshop. Tsinghua University, Shenzhen China. December 2013

Web Observatories and Data analysis. Stanford University, USA. September 2013

Web Observatories and Big Data. InfoSys, Bangalore, India. February 2013 Demonstrations

Twitter Analysis. Web Observatory Workshop, MIT. October 2013

Flow140 – Propagation of Information for disaster response (Demo). ICTD2012. Atlanta, USA. March 2012

Analysis of Open Government Data repositories. OGD Camp. Warsaw, Poland. October 2011

The Age of Social Machines – Microsoft, Cardinal Place, London. March 2015

Macroscope – Lens on the Web Observatory. South Bank, Jan 2015 Tradeshows

Web Observatory Real-Time Web Infrastructure, UKTI/SoFtWIRED Stand. CeBIT 2014. Hannover, Germany. March 2014

Network Analytics. CeBIT 2013. Hannover, Germany. March 2013 Academic Programme Committees Journal Reviews

Programme Committees/Reviewer

Web Science Conference 2017, 2016, 2015, 2014

World Wide Web Conference (WWW) 2016, 2015, 2014

International Semantic Web Conference, Industry Track (ISWC) 2015, 2014

Extended Semantic Web Conference (ESWC) 2015

Computer-Supported Cooperative Work and Social Computing (CSCW) 2015

Social Machines Workshop (SOCM) 2015, 2014, 2013

Conference for E-Democracy and Open Government (CeDEM) 2015, 2014

Building Web Observatories Workshop (BWOW) 2014, 2013

Web Observatory Workshop (WOW) 2014

Web Science Theory Workshop (WSTW) 2013

Invited Journal Reviews

The Journal of Community Informatics (JoCI)

The Journal on Social Science Research (SSR)

Computing in Science and Engineering (CiSE)

Transactions on the Web (TWEB)

Foundations and Trends in Web Science

Journal of Communications

Teaching and Supervision

Teaching

International Web Science Winter School. Tsinghua, China. December 2015

International Big Data Summer School, Jakarta, August 2015

Big Data and Web Science, Digital Economy Summer School, July 2015

The Age of Big Data Summer School, Southampton, July 2014

Web Science and Big Data Summer School, Singapore, December 2014

Introduction to Web Science, Web Science MSc, Southampton University

Introduction to Data Science, Data Science MSc, Southampton University

Big Data for Data Science, Data Science for Statisticians, Southampton University Supervision

Web Science MSc Supervisory Coordinator

BSc third year project supervision. Projects topics: human computation, data mining, machine learning, visual analytics

MSc Web Technology summer project supervision Projects topics: Mobile Application development, Web Services

MSc Web Science summer project supervision. Project topics: Social Network Analysis, User analytics, Human Behaviour studies

MSc Data Science summer project supervision. Project topics: data mining, semantic web, data visualisation, machine learning Academic Publications (A Full list of publications are available via Google Scholar or Homepage) 2017

Tinati, Ramine, et al. “The Role of Crowdsourcing in the Emerging Internet-Of-Things”. WWW2017. (2017)

Tinati, Ramine, et al. “To Help or Hinder: Real-time Chat in Citizen Science” International AAAI Conference on Web and Social Media (2017)

Tinati, Ramine, et al. "An investigation of player motivations in Eyewire, a gamified citizen science project." Computers in Human Behavior (2017).

Tinati, Ramine., Luczak-Roesch, Markus., Wikipedia. A complex Social Machine ACM SIGWEB Newsletter, Winter (2017)

Luczak-Roesch, Markus., Tinati, Ramine., The social in the platform trap: Why a microscopic system focus limits the prospect of social machines

Reeves, Neal, Tinati, Ramine, Zerr, Sergej, Simperl, Elena and Van Kleek, Max. From crowd to community: a survey of online community features in citizen science projects. ACM Conference on Computer-Supported Cooperative Work (CSCW 2017), 2016

Tinati, Ramine., Luczak-Roesch, Markus., Shadbolt, Nigel., Hall, Wendy.. More than an Edit: Using Transcendental Information Cascades to Capture Hidden Structure in Wikipedia. Companion to Proceedings. ACM International Conference on the World Wide Web 2016 (2016)

Tinati, Ramine., Luczak-Rösch, Markus, Simperl, Elena, Hall, Wendy., ‘Because Science is Awesome’: studying participation in a citizen science game. ACM International Conference on Web Science 2016.

Tinati, Ramine., Luczak-Roesch, Markus., Hall, Wendy.. Finding Structure in Wikipedia Edit Activity: An Information Cascade Approach. Workshop on Wikipedia. ACM International Conference on the World Wide Web 2016 (2016).

Tinati, Ramine., Luczak-Roesch, Markus., Player Participation in Eyewire: A Gamified Citizen Science Platform. Collective Intelligence 2016 (CI-2016).

Phethean, Chris., Simperl, Elena., Tiropanis, Thanassis., Tinati, Ramine., Hall, Wendy. The Role of Data Science in Web Science.

(2016) IEEE Intelligent Systems,

Murthy, Dhiraj, Powell, Allison, Tinati, Ramine., Anstead, Nick., Carr, Leslie., Halford, Susan., Weal, Mark. sAutomation, Algorithms, and Politics Bots and Political Influence: A Sociotechnical Investigation of Social Network Capital. International Journal of Communication, [S.l.], v. 10, p. 20, oct. 2016

Zerr, Sergej., Tinati, Ramine., Luczak-Roesch, Markus., Simperl, Elena. Investigating the Global Adoption of Citizen Science. Collective Intelligence 2016 (CI-2016).

Luczak-Rösch, Markus, Tinati, Ramine., Aljaloud., Saud, Hall, Wendy., Shadbolt, Nigel. A Universal Socio-technical Computing Machine. ICWE, 2016.

Reeves, Neal, Tinati, Ramine, Zerr, Sergej, Simperl, Elena and Van Kleek, Max (2016) From crowd to community: a survey of online community features in citizen science projects In, 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017), Portland, US, 25 Feb - 01 Mar 2017. ACM17pp. 2015

Tinati, Ramine., Wang, Xin., Tiropanis, Thanassis., Hall, Wendy. Building A Real-Time Web Observatory. (2015) IEEE Internet Computing `

Tinati, Ramine., Van Kleek, Max., Simperl, Elena., Luczak-Rösch, Markus., Simpson, Robert., and Shadbolt, Nigel. (2015) Designing for citizen data analysis: a cross-sectional case study of a multi-domain citizen science platform. ACM CHI Conference on Human Factors in Computing Systems 2014 (CHI2015), 1-10. (doi:10.1145/2702123.2702420).

Tinati, Ramine., Luczak-Rösch, Markus, Simperl, Elena, Hall, Wendy., Shadbolt, Nigel. (2015) `/Command' and Conquer: Analysing Discussion in a Citizen Science Game. Web Science 2015

Tinati, Ramine., Luczak-Roesch, Markus, Simperl, Elena, Hall, Wendy., Exploring the Global Adoption of Citizen Science. 2nd Symposium on Computational Social Science (2015).

Tinati, Ramine., Wang, Xin., Brown, Ian., Tiropanis, Thanassis., Hall, Wendy. A Streaming Real-Time Web Observatory Architecture for Monitoring the Health of Social Machines, SOCM, World Wide Web 2015

Tinati, Ramine., Luczak-Rösch, Markus., Hall, Wendy., Shadbolt, Nigel. Using WikiProjects to Measure the Health of Wikipedia., Web Science Track, World Wide Web 2015

Markus Luczak- Rösch, Ramine Tinati, Max van Kleek, and Nigel Shadbolt. 2015. From coincidence to purposeful flow? Properties of transcendental information cascades. To appear in IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris, FR.

Markus Luczak-Roesch, Ramine Tinati, Kieron O'Hara, and Nigel Shadbolt. 2015. Socio-technical Computation. 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW'15 Companion)

Luczak-Rösch, Markus., Tinati, Ramine., When Resources Collide: Towards a Theory of Coincidence in Information Spaces., SOCM, World Wide Web 2015

Feyisetan, Oluwaseyi., Luczak-Roesch, Markus., Simperl, Elena., Tinati, Ramine., Towards hybrid NER: a study of content and crowdsourcing-related performance factors, ESWC2015 2014

Tinati, Ramine. Phillipe, Olivier. Carr, Leslie. Pope, Catherine. Halford, Susan (2014). Challenging Social Media Analytics: Web Science Perspective. Web Science Conference 2014. Indiana, USA.

Tinati, Ramine. Luczak-Roesch, Markus. Simperl, Elena. Shadbolt, Nigel (2014). Motivations of Citizen Scientists – A Quantitative Investigation of Forum Participation. Web Science Conference 2014. Indiana, USA.

Tinati, Ramine, Carr, Leslie, Halford, Susan and Pope, Catherine (2014) (Re) Integrating the Web: beyond ‘socio-technical’. World Wide Web, 1-2

Tinati, Ramine, Gaskell, Paul, Tiropanis, Thanassis, Phillipe, Olivier and Hall, Wendy (2014) Examining Wikipedia across linguistic and temporal borders. World Wide Web

Tinati, Ramine, Halford, Susan, Carr, Leslie and Pope, Catherine (2014) Big data: methodological challenges and approaches for sociological analysis. Sociology (In Press).

Tinati, Ramine, Simperl, Elena, Luczak-Rösch, Markus, Van Kleek, Max and Shadbolt, Nigel (2014)Collective intelligence in citizen science – a study of performers and talkers. In, Collective Intelligence 2014, Cambridge, US, 10 - 12 Jun 2014. 4pp.

Oluwaseyi Feyisetan, Elena Simperl, Ramine Tinati and Markus Luczak-Roesch (2014). Quick-and-Clean Extraction of Linked Data Entities from Microblogs. International Conference on Semantic Systems.

Hall, Wendy, Tiropanis, Thanassis, Tinati, Ramine, Wang, Xin, Luczak-Rösch, Markus and Simperl, Elena (2014) The Web Science Observatory - The Challenges of Analytics over Distributed Linked Data Infrastructures. ERCIM News, (96), 29-30.

Luczak-Rösch, Markus, Tinati, Ramine, Simperl, Elena, Van Kleek, Max, Shadbolt, Nigel and Simpson, Robert (2014) Why won't aliens talk to us? Content and community dynamics in online citizen science. In, 8th AAAI Conference on Weblogs and Social Media

Van Kleek, Max, Smith, Daniel Alexander, Tinati, Ramine, O'Hara, Kieron, Hall, Wendy and Shadbolt, Nigel (2014) 7 Billion Home Telescopes: Observing Social Machines through Personal Data Stores. In,SOCM2014 Workshop on the Theory and Practice of Social Machines, at WWW2014

2013

Tinati, Ramine, Halford, Susan (2013) Big Data: methodological challenges and approaches for sociological analysis, Journal of Sociology (Accepted, Expected 2013)

Tinati, Ramine, Carr, Les, Halford, Susan and Pope, Catherine (2013), Exploring the Use of #OpenData in UK Open Government Data Community, Digital Economy 2013, Salford, UK

Tinati, Ramine, Carr, Les, Halford, Susan and Pope, Catherine (2013), The Promise Of Big Data: New Methods For Sociological Analysis, The World Social Science Forum, Montreal, Canada

Wendy Hall, Thanassis Tiropanis, Ramine Tinati, Paul Booth, Paul Gaskell, Jonathon Hare and Leslie Carr (2013), The Southampton University Web Observatory, Building Web Observatories Workshop, Fifth Annual ACM Web Science Conference

(WebSci2013). Paris, France

Tinati, Ramine, Thanassis Tiropanis, Carr, Les (2013) An Approach for Using Wikipedia to Measure the Flow of Trends across Countries, Web Observatories Workshop, WWW2013: 22nd World Wide Web conference, 2013. Rio de Janeiro, Brazil

Tinati, Ramine, Carr, Les, Halford, Susan and Pope, Catherine (2013), The HTP Model: Understanding the Development of Social Machines, SOCM Workshop, WWW2013: 22nd International World Wide Web conference, 2013. Rio de Janeiro, Brazil 2012

Tinati, Ramine, Carr, Les (2012) Understanding Social Machines, 2012 International Conference on and 2012 International Conference on Social Computing (SocialCom). Amsterdam, Netherlands.

Tinati, Ramine, Carr, Les, Halford, Susan and Pope, Catherine (2012) Exploring the Impact of Adopting Open Data in the UK Government, Digital Futures 2012. Aberdeen, Scotland

Tinati, Ramine and Halford, Susan (2012) Interrogating Big Data for Social Scientific Research – An Analytical Platform for Visualising Twitter. At Internet, Politics, Policy 2012: Big Data, Big Challenges?, Oxford, GB,

Tinati, Ramine, Halford, Susan, Carr, Les and Pope, Catherine (2012) Mixing Methods and Theory to Explore Web Activity. Third Annual Web Science Conference (WebSci2012), Evanston, US,

Tinati, Ramine, Carr, Les, Hall, Wendy and Bentwood, Johnny (2012) Scale Free: Twitter’s Retweet Network Structure. At Network Science 2012, Evanston, US,

Tinati, Ramine and Carr, Leslie (2012) ReFluence: A Real-Time and Historic Visualization Application for Twitter Conversations, in Social Media Visualisation (SocMedVis) Workshop – at International Conference on Web Logs and Social Media, 2012. Ireland

Tinati, Ramine, Halford, Susan, Carr, Leslie and Pope, Catherine (2012) Using mixed methods to track the growth of the Web: tracing open government data initiatives, in the Web Science Tract, at 21st International World Wide Web conference

(WWW2012), 2012. Lyon, France.

Tinati, Ramine, Carr, Leslie, Hall, Wendy and Bentwood, Jonny (2012) Identifying Communicator Roles in Twitter. In Mining Social Network Dynamics (MSND 2012), at 21st International World Wide Web conference (WWW2012). Lyon, France

Identifying User Roles in Twitter. In, Information Communication Technology in Development (ICTD) 2012, Atlanta, US 2011

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