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Martin Chorley  BSc, MSc, PhD, SFHEA

Dr Martin Chorley

(he/him)

BSc, MSc, PhD, SFHEA

Dean of Undergraduate Studies for the College of Physical Sciences and Engineering

School of Computer Science and Informatics

Users
Available for postgraduate supervision

Overview

I am the Dean of Undergraduate Studies for the College of Physical Sciences and Engineering, and a Reader in the School of Computer Science & Informatics.

I am course director for the MSc Computational and Data Journalism, an innovative joint-honours course I designed and run with colleagues in the School of Journalism, Media and Culture.

My current research focuses on a number of areas: firstly relating to education, both in terms of Computer Science education, but also in educating students with non-STEM backgrounds in STEM areas such as coding and data analysis, as with many of our data journalism students. Secondly, I focus on the field of Computational and Data Journalism, looking at advances in information dissemination and collection, and their effect on media and society. I am also interested  in the areas of Mobile and Social computing, where I examine the ways in which humans and society interact with systems and technology.

Publication

2020

2017

2016

2015

2013

2012

2011

2010

2009

Articles

Conferences

Thesis

Research

My current research focuses on a number of areas: firstly relating to education, both in terms of Computer Science education, but also in educating students with non-STEM backgrounds in STEM areas such as coding and data analysis, as with many of our Data Journalism students. Secondly, I focus on the field of Computational and Data Journalism, both in terms of advancing the field, but also in terms of studying the field itself, where Computer Science and technology are being harnessed to both improve the communication of information and to understand better the role that the media and technology play in society. I am also interested  in the areas of Mobile and Social Computing, where advances are driven by the ever increasing use and power of smartphone devices, the potential of social networks, and the rise of small, wearable computing devices, and where I examine the ways in which humans and society interact with systems and technology.

Past Projects

Before gaining a position as a Lecturer I was working on a 12 month EPSRC Fellowship (2013 Doctoral Award Prize) examining the relationship between an individual’s personality (in terms of the OCEAN five-factor personality model) and the places they visit or check in to.

Prior to my fellowship, I was working on the Recognition project, an EU FP7 project attempting to use relevance and human cognitive processes within IT systems to improve content dissemination and filtering. The work included areas such as how human decision making processes relate to twitter and micro-blogging, and examining the relationship between spatial places/venues and people in terms of both their personality and the expression they use towards the places they’ve been.

Before the Recognition project, I spent a year and a half working on the SocialNets project, another EU FP7 project concerning pervasive adaptation looking to improve mobile and ad-hoc systems using social network information and adaptive strategies.

Teaching

Overview

I am the Dean of Undergraduate Studies for the College of Physical Sciences and Engineering.

I am course director for MSc Computational and Data Journalism, an innovative joint-honours degree delivered by the School of Journalism, Media and Cultural Studies and the School of Computer Science & Informatics. The programme focuses on the development of knowledge and skills through research-informed and practice-based learning in data journalism, computer coding and digital development.

Teaching

I am module leader for and teach on a number of postgraduate modules within the School of Computer Science & Informatics teaching data visualisation and communication, and run a student-led project-based module focusing on the practical application of Computational and Data Journalism skills.

  • Data Visualisation
  • Digital Investigation (co-module leader with Aidan O'Donnell, JOMEC)

I co-manage the shared seminar/lab series on the MSc Computational and Data Journalism, where students are invited to spend time working on side projects and improving both their journalistic and coding skills. I supervise both undergraduate and postgraduate final projects and dissertations.

Previous Roles

I have previously served as Senior Personal Tutor for taught postgraduate students, chair of the Postgraduate Taught Programmes Operations Team, Deputy Director of Learning and Teaching for the School of Computer Science & Informatics, and from August 2018 to June 2023 I was the Director of Learning and Teaching in the school.

Biography

Education and Qualifications

  • 2012: PhD (Computer Science) - Cardiff University, UK
  • 2007: MSc High End Computing - Edinburgh University, UK
  • 2005: BSc Computer Science - Cardiff University, UK

Career Overview

  • 2020 - Present: Reader, Cardiff University School of Computer Science & Informatics
  • 2018 - 2020: Senior Lecturer, Cardiff University School of Computer Science & Informatics
  • 2014 - 2018: Lecturer, Cardiff University School of Computer Science & Informatics
  • 2013 - 2014: EPSRC Doctoral Award Fellowship,Cardiff University School of Computer Science & Informatics
  • 2011 - 2013: Research Associate (RECOGNITION project), Cardiff University School of Computer Science & Informatics
  • 2010 - 2011: Research Assistant (SOCIALNETS project), Cardiff University School of Computer Science & Informatics

Committees and reviewing

I am a co-organiser and co-founder of the European Data and Computational Journalism Conference

  • Guest Editor, special issue of International Journal of Human Computer Interaction: "Following User Pathways"
  • Reviewer for:
    • Journal of Educational Computing Research 
    • Digital Journalism 
    • International Journal of Human-Computer Interaction
    • ACM Transactions on Internet Technology
    • WWW
    • Concurrency and Computation: Practice and Experience
    • Computer Communications
    • Computer Physics Communications
    • Journal of Computational Science
    • International Journal of Human-Computer Studies
    • ISPRS International Journal of Geo-Information

 

  • I have been on the organising committee and various panels for a number of conferences and workshops:
    • I’m co-organiser of the European Data and Computational Journalism Conference, held in Dublin in 2017, Cardiff in 2018, Malaga in 2019 and Zurich in 2023
    • I was a member of the Organising Committee for the “Following User Pathways: Cross Platform and Mixed Methods Analysis in Social Media Studies” workshop, held at CHI 2016
    • I’ve reviewed for CSCW 2016
    • I’ve served on the Technical Program Committee for some conferences and workshops:
      • Work In Progress section of CHI 2014CHI 2015
      • Workshop on “Social Media World Sensors” (SIDEWAYS) at the International Conference on HyperText and Social Media (HT) 2015 & 2016
      • Workshop on “Healthy and Secure People” (HSP) at the International Conference on Health and Social Care Information Systems and Technologies (HCist) 2015 - 2017
    • Publicity Chair for Social Computing and its Applications 2013
    • Publicity Chair for Cloud and Green Computing 2013
    • Co-Organiser and Technical Program Committee for Collective Social Awareness and Relevance workshop 2013

Supervisions

I am interested in supervising PhD students in the areas of Computer Science and programming education and data visualisation.

I am currently supervising Matthew Moloughney on a project looking at providing automated formative assessment and feedback for novice programmers

Current supervision

Matthew Moloughney

Matthew Moloughney

Teaching Associate

Contact Details

Email ChorleyMJ@cardiff.ac.uk
Telephone +44 29208 74683
Campuses Abacws, Room 3.17, Senghennydd Road, Cathays, Cardiff, CF24 4AG

Research themes

Specialisms

  • Data science
  • Data visualisation
  • Computational Journalism
  • Data Journalism