Social Study of Information Technology (SSIT) Workshop
Date and Time: Thursday 11 – Friday 12 June
Location: The Marshall Building, MAR.2.04
Description:
The Information Systems and Innovation (ISI) faculty group at LSE's Department of Management is pleased to announce its annual SSIT research workshop on 11-12 June. This year's theme is Computational IS Research, exploring the expanding role of computational methods — from traditional machine learning and natural language processing to the latest agentic generative AIs — in advancing information systems scholarship. We will explore how computational approaches can be effectively used along with traditional qualitative and quantitative methods.
The main workshop will take place on Thursday 11 June and feature keynote presentations by Ahmed Abbasi (Giovanini Endowed Chair Professor, University of Notre Dame), whose work on human-centered AI, text analytics, and predictive modeling has been recognized with the IEEE Technical Achievement Award and the INFORMS Design Science Award, and Dokyun (DK) Lee (Kelli Questrom Chair Associate Professor, Boston University), a leading researcher on the development, deployment, and economic impact of AI and generative models, and recipient of the ISR Best Paper Award and the Management Science Best Paper Award. The event will include additional research presentations, as well as a panel featuring Professor Milena Tsvetkova (LSE), Dr Audrey Alejandro (LSE) and Professor Jan Recker (University of Hamburg).
The workshop will continue on Friday 12 June with an event for research students in information systems. Participants will have an opportunity to present their current research and receive feedback from senior faculty.
Audience: Information Systems and Innovation faculty members, PhD students, scholars and industry professionals.
To view the full programme and register for this event, please click here.
If you have any questions, please contact dom.events@lse.ac.uk, for more information.
Theorizing Data and AI Workshop
Date and Time: Tuesday 26 – Thursday 28 May
Location: LSE Campus
Description:
This year's fourth edition of Theorizing Data and AI will once again bring together great minds and fresh ideas around the latest discussions on data and AI at this innovative annual meet-up, bringing together early-stage researchers and established scholars.
On Tuesday 26 May, the conference hosts a focused day for early-stage projects, a space to test ideas and get practical feedback through short presentations, roundtables, pitches, and poster sessions. The main conference days follow on Wednesday 27 May and Thursday 28 May, featuring keynote talks by leading scholars, panel discussions, and paper sessions that showcase thoughtful, cumulative research on emerging developments in data and AI.
This year's edition will feature keynotes from Professor Jonathan Wareham (ESADE), Professor Helen Margetts (Oxford) and Professor Eric Monteiro (NTNU), as well as a special panel dedicated to comparative ethnography, moderated by Tomislav Karačić and Anne-Sophie Mayer. The workshop will showcase work on the economics and political economy of data and AI, as well as work and organizing, and social practice. General subthemes include the design, implementation, and use of AI, human-AI interaction, ethics of AI, data and AI governance, management of data and AI, and data work in the age of AI.
Audience: Academics and PhD students whose primary research focus is data and AI
If you have any questions, please contact dom.events@lse.ac.uk, for more information.
For further information, please visit https://theorizingdai.com/.
Festival of Management
Date: Tuesday 12 May
Location: The Marshall Building
Description:
The Festival of Management is a special one-day showcase that celebrates the excellent work and impact of staff within the Department of Management.
Audience: Department of Management staff and PhDs
To view more details, please click here.
Industrial Relations Workshop
Date and Time: Thursday 7 May, 9.15am - 4.15pm
Location: The Marshall Building, MAR.2.05
Description:
The Computational and Quantitative Methods Research Group (Queen Mary University of London, School of Business and Management) and the Employment Relations and Human Resources Group (London School of Economics and Political Science, Department of Management) are co-organising a one-day Industrial Relations workshop at the London School of Economics and Political Science, with support from the Hans Böckler Foundation.
The event will bring together scholars whose research focuses on trade unions, offering an opportunity to engage with emerging debates and new empirical and theoretical work on unions and related issues in the field.
Audience: Scholars in Industrial Relations and related fields whose primary research focus is on trade unions
To view the full programme and register for this event, please click here.
If you have any questions, please contact dom.events@lse.ac.uk, for more information.
20th Anniversary Conference of the iSChannel Journal
Date and Time: Wednesday 25 March, 2:30pm - 5:30pm
Location: The Marshall Building, MAR 2.10
Description:
The iSChannel is an annual journal on the social study of information systems which is produced, edited and double-blind reviewed by the students of the Information Systems and Innovation programmes, with advice from faculty.
This conference brings together current students, faculty members, industry professionals and past contributors to the iSChannel, to celebrate the journal’s 20-year history and ongoing contributions to the social study of information systems.
The agenda brings together a rich mix of academic and practitioner perspectives. Join us to explore current thinking and debates in the field of information systems as we celebrate two decades of the journal’s impact and the community that has shaped it.
Audience: Information Systems and Innovation faculty members, current PhD and MSc students, alumni and industry professionals.
To register for this event, please click here.
If you have any questions, please contact dom.events@lse.ac.uk, for more information.