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Keep up to date with the latest news and updates from the Data Science Institute

 

21 September 2021
DSI awarded Process Mining Centre of Excellence status by Celonis

The LSE Data Science Institute (DSI) is pleased to have been recognised by Celonis as a new Process Mining Centre of Excellence. This award was announced at the Celonis Ecosystem Summit on 21 September 2021.

The LSE application was managed by the DSI and was successful in being awarded 'Leader in Process Mining Culture and Adoption' status.

This recognition for effort and activity will see Celonis partner with 15 Academic Centres of Excellence across the globe that will act as forerunners for providing Process Mining Education and Co-Innovation.

The award is another significant milestone for the DSI in its role as an institutional cornerstone and interdisciplinary nexus as contributions were drawn from across the LSE community to provide a compelling case that showed the School to have integrated Process Mining rigorously into the curriculum, published research in the field and spearheaded a diverse range of student and community-based initiatives.

More information is available here.

20 September 2021
Against Sacrifice: DSI Affiliate Professor Henry Wynn publishes a new book

DSI Affiliate Professor Henry Wynn has published a new book titled 'Against Sacrifice - An Essay on Risk and Ethics'.

The new book draws on the community-based and experimental ideas of the American Pragmatist, John Dewey. Henry's central message is that it cannot be part of the “public good” to sacrifice someone for the public good.

As the institutional cornerstone of data science activity at the London School of Economics, staff from across the LSE community who are engaged with data science in their research or teaching can apply to become DSI Affiliates. These Affiliates participate in the activities of the institute and have special access to its resources.

Keep up to date with Henry on Twitter.

17 September 2021
Read our new data science spotlight that shares the research agenda of Dr Siân Brooke

The Data Science Institute (DSI) is proud to work alongside the academic departments across LSE to foster the study of data science with a focus on social, economic, and political aspects.

As part of this mission the DSI highlights good examples of data science activity from across the LSE community, such as LSE Fellow in Computational Social Science Dr Siân Brooke.

Siân's activist research agenda combines cultural and computational methods to understand the ways in which to increase gender equity in computing.

Discover Siân's research agenda in the latest data science spotlight.

8 September 2021
Dr Erica Thompson awarded new UKRI Future Leaders Fellowship

The LSE Data Science Institute is proud and excited to share the news that Dr Erica Thompson has been awarded a new UKRI Future Leaders Fellowship.

The Future Leaders Fellowship scheme is designed to develop the next wave of world-class research and innovation leaders in academia and business.

The Data Science Institute will form a partnership with UKRI as a host organisation, in what represents a significant moment for the Institute in its role as institutional cornerstone of data science activity at LSE.
 
Commenting on news of this award, incoming Pro-Director for Research Professor Susana Mourato said: “This new partnership highlights how LSE creates and sustains opportunities for world-leading social science research and shows how the Data Science Institute is core to LSE’s future research vision as part of the LSE 2030 strategy."
 
"Erica is an outstanding example of LSE’s innovative academic community. I am delighted that Erica’s research has received this recognition."

Find more information here.

24 August 2021
Read a new article published by DSI Affiliate Dr Eleanor Power

DSI Affiliate Dr Eleanor Power has published a new article in the Journal of Evolutionary Human Sciences with Nichola Raihani.

This article is titled 'No good deed goes unpunished: the social costs of prosocial behaviour' and explores how individuals can improve their reputation through performing costly helpful behaviours.

The article finds that although investing in costly cooperative behaviour can yield benefits, these benefits do not always follow from prosocial actions. Indeed these actions can sometimes yield social costs.

In this review, published in open access, the authors explore when and why investments in prosocial behaviour are likely to yield social costs and propose two key features of interactions that make it more likely that generous individuals will incur social costs.

We are proud to highlight the activity of our DSI Affiliates. These members of the LSE community are engaged with data science in their research or teaching. Find out how to become a DSI Affiliate here.

Keep up to date with Eleanor on Twitter.

17 August 2021
Read a new working paper published by Professor Patrick Sturgis

DSI Management Committee member Professor Patrick Sturgis has published a new working paper with Professor Franz Buscha and Dr Emma Gorman.

This working paper is titled 'Selective Schooling Has Not Promoted Social Mobility in England' and uses linked census data to assess whether an academically selective schooling system promotes social mobility, using England as a case study.

The authors explain that they use data from the Office for National Statistics Longitudinal Study (LS) due to its large sample size, low rates of non-response, and because it includes data on those living communally, such as older adults and students. These groups are commonly omitted from household surveys. The LS also includes data on those who were enumerated in the study member’s household for the Census. Therefore the authors do not need to rely on potentially erroneous recall data.

The working paper concludes that its findings confirm those of existing studies, that there is little to no evidence to support the contention that selective schools have a beneficial effect on social mobility. 

Keep up to date with Patrick on Twitter.

28 July 2021
New members of the DSI Affiliate scheme announced

The LSE Data Science Institute is proud to welcome new members of the DSI Affiliate Scheme. DSI Affiliates make up the core of the data science community at LSE and play a key role in developing the DSI agenda, by actively participating in our events and collaborations.

These individuals are staff from across LSE who are engaged with data science in their research or teaching. By participating in the DSI Affiliate Scheme, they access opportunities to meet researchers with a diverse range of backgrounds and to engage in collaborative, interdisciplinary research.

We are delighted to welcome the following as our new DSI Affiliates:

Dr Marcos Barreto
Assistant Professorial Lecturer - Department of Statistics

Professor Umut Cetin
Professor of Statistics - Department of Statistics

Dr Yunxiao Chen
Assistant Professor - Department of Statistics

Dr Florian Foos
Assistant Professor in Political Behaviour - Department of Government

Dr Kostas Kalogeropoulos
Assistant Professor - Department of Statistics

Dr Eleanor Power
Assistant Professor - Department of Methodology

Dr Xinghao Qiao
Assistant Professor - Department of Statistics

Dr Chengchun Shi
Assistant Professor - Department of Statisitcs

Dr Kate Vrendenburgh
Assistant Professor - Department of Philosophy, Logic and Scientific Method

More information can be found about each of our DSI Affiliates here. If you would like to enhance discovery and innovation within the field of data science by becoming one of our DSI Affiliates, please apply here.

22 July 2021
Dr Erica Thompson interviewed for LSE Staff News

Dr Erica Thompson has been interviewed as part of the latest edition of LSE Staff News.

Erica is a Senior Policy Fellow in Ethics of Modelling and Simulation and was interviewed as part of the '60 seconds with' series.

In a wide-ranging interview, Erica discusses the mission of the LSE Data Science Institute (DSI) and the opportunites provided to new DSI Affiliates. These LSE researchers form a core pillar of the data science community at LSE and Erica was keen to encourage other LSE researchers to join the DSI community.

Other topics covered in this interview include Erica's forthcoming book, her homemade raspberry ice cream and a new gardening hobby. Erica also offers a recommendation of Kim Stanley Robinson's Ministry for the Future, referring to the opening chapters as "required reading for economists who think that a couple of degrees increase in global mean temperature isn't a big deal."

When asked what makes her feel part of LSE, Erica commented that Twitter has been a good way to stay connected with colleagues whilst working remotely. Follow Erica on Twitter here. Read the full interview here.

21 July 2021
Graduate Digital Skills: New LSE Change Makers project explores the competencies that are highly valued by employers

The LSE Data Science Institute works closely with LSE Data and Technology Services and LSE Digital Skills Lab to advance computing infrastructure and services for data science research and teaching.

A recently completed Change Makers project explores the skills and competencies that employers seek when hiring graduates in order to help current LSE students enhance their employability.

Change Makers is a programme that gives current students the chance to make meaningful change at LSE through independent research. At the end of the project, Change Makers communicate their findings and recommendations to senior leadership across LSE and LSESU to take forward.

The findings of this specific project will directly provide insight and value to the LSE Digital Skills Lab and LSE Careers services. The researchers (Anshuman Bhatnagar, Zane Wong, and Dominic Al-Hariri) intend for their findings to in turn better prepare and advise LSE students on digital skills.

This project was presented at the LSE Change Makers 2020/21 Online Event. An executive summary of this project can be found here. Read the full report here. 

Information on other Change Makers projects can be found via the Research Gallery.

 

15 July 2021
Read our latest data science spotlight that shares the success of PhD graduate Weiguan Wang

As part of the DSI's mission to champion data science, we will periodically shine our data science spotlight on good examples of this from across the LSE community.

Weiguan Wang, a recent PhD graduate from the Department of Mathematics, is one such example.

Weiguan has research interests including Machine Learning with applications to Quantitative Finance and his PhD thesis was titled 'Statistical Hedging with Neural Networks'. This thesis was supervised by Dr Arne Lokka and DSI Affiliate Professor Johannes Ruf.

Johannes has also collaborated on research with Weiguan and when asked about him explained that "what I am personally most impressed with about Weiguan is his strong scholarly attitude. He is always trying to understand what is going on and is very honest about his results."

More information about some of these collaborations can be found in the latest data science spotlight.

If you know of a member of the LSE community that deserves our recognition, please let us know.

8 July 2021
Discover opportunties to study data online at LSE

The LSE Data Science Institute is proud to foster the study of data science and new forms of data and to highlight the LSE Online Courses that make our world-leading teaching and research in this area accessible to a global audience through a comprehensive portfolio of online programmes.

As businesses, governments and academic institutions increasingly rely on data-driven decision-making, one of their main challenges is addressing the significant skills gap that exists in the field of data science.

These LSE Online Courses will equip you and your organisation with the knowledge and skills to advance in an ever-changing world.

Online Certificate Courses take place over six to ten weeks and provide the ultimate flexibility for professionals.

Online Masterclasses offer an immersive learning experience of specialised subjects and take place over three weeks.

Online Undergraduate Degrees open the door to world-class, transformative education for learners globally. Earn a University of London qualification with academic direction by LSE from anywhere in the world.

The full range of online study opportunities in data and digital transformation can be found here. More information on studying data science at LSE is available here.

2 July 2021 
Using public video cameras to detect racial distancing - Watch the latest CIVICA Data Science Seminar recording

Is there subtle segregation and a casual "everyday racism" present just on a simple walk in the neighborhood? This is the subject of the latest CIVICA Data Science seminar recording, which is now available on YouTube.

Dr Melissa Sands led this fascinating discussion on 'Using public video cameras to detect racial distancing on city streets' that explored whether people consciously or unconsciously avoid others of certain races on city streets.

Using publicly-available traffic camera feeds in combination with a real-world field experiment, Dr Melissa Sands and her colleague Dr Bryce Dietrich have been able to examine how pedestrians of different races behave in the presence of other racial groups and discovered an implicit bias against certain people of colour in public social interaction.

This event originally took place on 5 May 2021 and you can watch the recording here.

18 June 2021
The LSE Data Science Institute welcomes new Visiting Appointments

The LSE Data Science Institute is proud to welcome the first DSI Visiting Appointments. 

The Visiting Appointments scheme allows staff from other institutions to benefit from the level of involvement similar to that enjoyed by DSI Affiliates.

These Visiting Appointments represent the newest part of our growing data science community. They will participate in the activities of the DSI and have special access to its resources. 

The Visiting Appointments scheme represents a central pillar of the DSI's role in promoting the social focus of data science and computational methods among social scientists, within LSE and beyond.

We are delighted to welcome the following as our first Visiting Appointments:

Professor Arthur Petersen
Visiting Professor

Arthur is a Professor of Science, Technology and Public Policy at UCL and has significant experience of work as a scientific adviser on environment and infrastructure policy.

John Burn-Murdoch
Visiting Senior Fellow

John is a Senior Data Visualisation Journalist at the Financial Times and key architect behind the FT's massively popular COVID-19 data visualisation tool.

Dr Trevor Maynard
Visiting Senior Fellow

Trevor is Head of Innovation at Lloyd's of London and was previously a Senior Visiting Fellow at the LSE Centre for the Analysis of Time Series (CATS).

Dr Hailiang Du
Visiting Fellow

Hailiang is an Assistant Professor in Statistics at the University of Durham's Department of Mathematical Sciences. Research interests include uncertainty quantification, forecast evaluation, and data assimilation.

17 June 2021
DSI Affiliate Dr Milena Tsvetkova to speak at a workshop on Experimental Sociology

DSI Affiliate Dr Milena Tsvetkova will take part in the upcoming workshop on Experimental Sociology, hosted by the LSE Department of Sociology.

This workshop will provide a platform for researchers to discuss their new experimental research in sociology and Milena is a member of the Program Committee and will appear as a discussant in Session Three of the workshop, exploring the question 'Can Crowd-based User Ratings against Misinformation Backfire?'.

Other participants in Session Three of the workshop will include Jonas Stein (University of Groningen), Vincenz Frey (University of Groningen) and Arnout van de Rijt (EUI).

The Experimental Sociology workshop will take place on the afternoons of 24 June and 25 June 2021. Find the full programme here and register to attend here.

16 June 2021
Detecting fake news before it is written - Watch the latest CIVICA Data Science Seminar recording

The LSE Data Science Institute was proud to host the inaugural CIVICA Data Science seminar series and the latest recording from this series is now available on YouTube.

Dr Preslav Nakov led this discussion on 'How to detect fake news before it is written' that explored the Tanbih news aggregator and COVID-19 disinformation detector platforms.

Preslav and his colleagues at the Qatar Computing Research Insitute have developed these tools in an aim to limit the impact of fake news, propaganda and media bias by making users aware of what they are reading.

This event originally took place on 21 April 2021 and you can watch the recording here.

15 June 2021
Sign up to the Data Science Summer School

The LSE Data Science Institute is proud to be a partner institution within the CIVICA network. Tickets are now available for an upcoming series of workshops that have been organised by another of the CIVICA network partners, the Hertie School Data Science Lab.

These workshops will form the Data Science Summer School. Participants in the summer school will explore exciting methods and technologies currently employed by industry, government, and civil society to address the world's most complex problems. 

As well as workshops covering theory and application, those that attend the summer school will receive specialist instruction from both academic and industry experts. There will also be significant networking opportunities and participants will be provided with a certificate of attendance.

Courses will include a range of topics, such as Survey Methods, Data Visualisation, Web Scraping, Social Network Analysis, Machine Learning, and Spatial Data Analysis.

Attendance at the Data Science Summer School is fully sponsored. Register here.

10 June 2021
Data Science Seminars draw interest from across the CIVICA network and beyond

As part of the CIVICA network, the LSE Data Science Institute hosts the interdisciplinary CIVICA Data Science Seminar Series. This series has become the focus of a new article.

This article is authored by Ellen Thalman (Hertie School) and explores how these seminars "draw researchers and interest from across the CIVICA network and beyond". 

The article covers the broad range of subjects that these seminars covered, all with a focus on how data science impacts areas of current public debate. Seminar recordings are now available on YouTube.

One of the speakers in the series was Visiting Senior Fellow John Burn-Murdoch. John is the key architect behind the massively popular COVID-19 data visualisation tool by the Financial Times and shared his and the FT team’s experience in data collection and presentation to the general public: 

“What defines the best data scientist? Well, it’s the person who has the best methods or the best models,”

 “But I would say it’s also about the person who is the most effective communicator of their work. …Active communication and how you get your results – your findings – across to people in an accessible way that they actually understand is really, really critical.”

The article also quotes Senior Policy Fellow Dr Erica Thompson on the aims of the seminar series:

“The aim was to look at a broad range of topics in social data science, aiming to be quite accessible for different people across the member universities and for a public audience - but looking at quite high-profile, cutting-edge research in data science with social applications.”

The CIVICA Data Science Seminar Series will return in academic year 2021/22.

8 June 2021
Jinshuai Ma joins the LSE Data Science Institute

The fast growing LSE Data Science Institute is pleased to welcome Jinshuai Ma to the LSE data science community.

Jinshuai will become a new Research Officer in Quantitative Text Analysis, making use of key expertise in the design, analysis and development of software.

Jinshuai's research interests include text analysis, natural language processing, human-centred software design and physiological signal analysis.

Since graduation, Jinshuai has been working on the design and implementation of a software solution for text analysis based on the Quanteda package, which aims to make it more user-friendly and intuitive for text analysis tasks.

7 June 2021
Read a new blog containing advice and resources for those interested in data science careers

The LSE Data Science Institute (DSI) works closely with the LSE community to equip LSE students for the data science job market.

Among the LSE Careers team that the DSI collaborates with is Careers Consultant Edith Karinthi-Durnez. Edith recently published a blog that provides ideas on how to develop a career in data.

The title of this blog is Resources to prepare for a career in Data and Tech and resources provided include job boards, specialist websites, and online courses.

An increasing number of LSE students intend to enter the technology and data sector and this blog is an invaluable gateway to the guidance that LSE Careers can offer. In addition to vacancies and training opportunities, Edith offers advice on how to find networking events that engage with the tech community. This is a common area of concern.

LSE students can find additional support such as recordings of presentations and panel events relating to the data and tech sector by visiting CareerHub.


4 June 2021
Auditing artificial intelligence in the labour market - Watch the latest recording from the CIVICA Data Science seminar series

The latest recording is now available from the CIVICA Data Science seminar series. The discussion on 'Negotiating with AI Fairness in the Labour Market' led by Dr Christo Wilson is now available on YouTube.

On 7 April 2021 the interdisciplinary CIVICA Data Science Seminar Series invited Christo (Associate Professor, Khoury College of Computer Sciences, Northeastern University) to introduce the methods and findings of his research into pymetrics.

Christo worked with a talent matching platform start-up that promises to help enterprise companies build diverse teams of top performers, entirely bias-free by leveraging behavioral science and audited AI technology.

As explained in the seminar, Christo has conducted audits of such algorithms and services, digging into their source code to determine whether they truly contain safeguards to prevent human errors and maintaining fairness.

Watch the recording of this event here.

3 June 2021
The LSE Data Science Institute welcomes new DSI Affiliates

The LSE Data Science Institute is proud to welcome new DSI Affiliates. The DSI unites researchers from across the LSE's range of social science disciplines through data science and these DSI Affiliates represent the newest part of our growing data science community.

DSI Affiliates are staff from across LSE who are engaged with data science in their research or teaching. Affiliates participate in the activities of the institute and have special access to its resources.

The DSI Affiliate Scheme represents a central pillar of the DSI's role of forming the institutional cornerstone of data science activity at the London School of Economics.

We are delighted to welcome the following as our first DSI Affiliates:

Dr Tuğkan Batu
Assistant Professor - Department of Mathematics

Dr Michael Blackwell
Associate Professor of Law - Department of Law

Professor Piotr Fryzlewicz
Professor of Statistics - Department of Statistics

Dr Blake Miller
Assistant Professor - Department of Methodology

Professor Johannes Ruf
Professor - Department of Mathematics

Professor László Végh
Professor - Department of Mathematics

Professor Henry Wynn
Emeritus Professor of Statistics - Department of Statistics

More information can be found about each of our DSI Affiliates here and in this Twitter thread. Applications to become one of these DSI Affiliates are welcomed. Please apply here.

 

27 May 2021
Read our first data science spotlight focusing on MSc student Ramshankar Yadhunath

The Data Science Institute (DSI) is proud to form the institutional cornerstone of data science activity at the London School of Economics.

As part of the DSI's mission to champion data science, we will periodically shine our data science spotlight on good examples from across the LSE community.

The first individual that we will focus on is MSc Applied Social Data Science student Ramshankar Yadhunath. 

Ramshankar became part of LSE in September 2020 and is deeply passionate about data-driven decision making and the use of data for good. This belief is shown in Ramshankar's articles published by Towards Data Science.

'Leveraging Data for Social Good'. 

This article explains how Ramshankar led a small team in using empirical data to benefit a rural village in Northern Punjab, India. The team explored the question of whether people from Dodeneer were suffering from acute water shortage, using Python to analyse the data. After cleaning this data and comparison with UN standards, Ramshankar's team found basic individual water requirements not met in almost twice the number of those households where these requirements were met.

'Saving Animal Lives with Data'.

The use of data in animal shelters may not be the most obvious use that comes to mind. However, in this article Ramshankar uses his experience of working at People for Animals in Bangalore to outline how data could be used to improve the efficiency of operations at these shelters. The article details the potential for data-driven practices to raise the standard of care provided to these animals. A follow up article describing his attempts at improving the quality of data at the shelter has also been published.

Ramshankar was the Co-Head of Education at the LSESU Data Science Society during 2020-21 and can be contacted via LinkedIn and Twitter.

 

20 May 2021
Watch a recording of the CIVICA Data Science Seminar with Roman Rivera

We are delighted that a recording of the CIVICA Data Science Seminar with Roman Rivera is now available on YouTube.

On 17 March 2021 the interdisciplinary CIVICA Data Science Seminar Series invited Roman to lead a discussion on the research methods and findings of a study into whether police diversity deters the use of force by law enforcement.

This study follows recent high-profile police shootings, calls for police reform and proposals to diversify law enforcement departments that historically have been dominated by white officers.

The question of whether changing the demography of officers in the field can actually bring about positive change in the interaction between police and civilians is one not often tackled by researchers. This is what Bocar Ba, Dean Knox, Jonathan Mummolo, and Roman Rivera sought to answer in their study published in the Science Magazine. By investigating millions of daily patrol records, the team was able to compare the average behaviour of officers of different demographic profiles working in similar conditions.

Watch the recording of this event here.

The next CIVICA Data Science Seminar takes place on 2 June 2021. Find more information and sign up here.

 

14 May 2021
Watch Dr Erica Thompson's presentation at a panel event hosted by Rebuilding Macroeconomics

Senior Policy Fellow in Ethics of Modelling and Simulation Dr Erica Thompson was invited to present at an inter-disciplinary panel on 'Systemic Resilience: What is it, and how can it be enhanced?' hosted by Rebuilding Macroeconomics and a recording of this event is now available on YouTube.

Through the use of three examples, Erica's presentation explores the effectiveness of mathematical models in informing real world decisions.

The first of these examples is humanitarian decision making, discussed in the context of the recent shift away from reactive action to proactive anticipation. Erica's second example of COVID-19 highlights both the strengths and weaknesses of predicting via mathematical models. Finally, Erica explores the relevance of climate change modelling to local decision making on how to adapt to the impact of climate change.

Erica concludes her presentation with an explanation that although models can only ever represent a limited picture due to them being contingent on biases and prejudices, the flexibility of models means that a positive shared vision of the future can be realised.

 

11 May 2021
Watch a recording of the CIVICA Data Science Seminar with John Burn-Murdoch

On 24 March 2021 we were proud to welcome John Burn-Murdoch to lead a discussion as part of the CIVICA Data Science Seminar Series and the recording of this event is now available.

John is the key architect behind the popular COVID-19 data visualisation tool by the Financial Times and led an engaging seminar in which he shared the FT team’s experience in data collection and presentation to the general public, the importance of good and evolving data visualisation in informing public discourse, and how he captured the attention of millions on the seriousness of the pandemic.

The CIVICA Data Science Seminar Series is a multi-disciplinary series focused on applications and methodologies of data science for the social, political, and economic world. Its aim is to allow researchers to share original, new work or work in progress in order to get methodological or technical comments and suggestions.

The next CIVICA Data Science Seminar takes place on 19 May 2021 and is led by Professor Chris Bail of Duke University. Find more information and sign up here.

 

7 May 2021
Dr Erica Thompson invited to join a workshop on Systemic Resilience

Senior Policy Fellow in Ethics of Modelling and Simulation Dr Erica Thompson has been invited to join a inter-disciplinary panel.

This panel will be hosted by Rebuilding Macroeconomics and is titled 'Systemic Resilience: What is it, and how can it be enhanced?'. The event will discuss how to build and manage more resilient systems in the wake of COVID-19, which has illustrated the interconnectedness of social and economic systems.

The event will explore the core question of how the recovery can be supported, while at the same time safeguarding social and economic systems against the future stresses that will inevitably occur?

This event will take place online on 11 May 2021 (15:00 - 16:30). Please register via email request.

 

6 May 2021
We are hiring! Join us as our new Business Development Manager

At a very exciting time to join the Data Science Institute, we are pleased to be hiring a new Business Development Officer.

The closing date for receipt of applications is 2nd June 2021.

For more information please visit the LSE jobs page. If you have any queries please contact dsi.admin@lse.ac.uk.

 

5 May 2021
Listen to Professor Ken Benoit on the latest LSEIQ Podcast

DSI Director Professor Ken Benoit has appeared on the latest LSEIQ Podcast.

Ken was invited to contribute to a discussion on 'Do algorithms have too much power?' alongside Jo BaleAndrew Murray, Alison Powell and Bernhard von Stengel.

The podcast focuses on computer algorithms. Increasingly these shape our lives and control our future, but how much power should we give to them and have we let things go too far?

 

27 April 2021
Professor Ken Benoit joins an event with The White Rose Social Sciences Doctoral Training Partnership

DSI Director Professor Ken Benoit was invited to join an event hosted by The White Rose Social Sciences Doctoral Training Partnership.

This collaborative online event was titled 'Bridging the gap' and explored the potential applications of quantitative text analysis in political science.

 

21 April 2021
We are hiring! Join us as a new Assistant Professorial Lecturer in Data Science

We are excited to be hiring two new Assistant Professorial Lecturer in Data Science.

The closing date for receipt of applications is 16 May 2021.

For more information please visit the LSE jobs page. If you have any queries please contact dsi.admin@lse.ac.uk.