Dr Fabian Braesemann is a Departmental Research Lecturer in AI & Work at the OII.
Fabian uses social data science methods to study the digital economy. His research focuses on three topics:
1. Future of Work: remote work, the future of the workplace, and online labour markets.
2. Digital Innovation: technological progress and the evolution of digital technologies, the geography of the knowledge economy, digital development.
3. Data Science for social good: measuring, nowcasting and predicting urban gentrification, sustainable tourism, the economic effects of Covid-19 and other social and economic phenomena with online data.
Before Fabian became a Departmental Research Lecturer at the OII, he worked as a Research Fellow & Data Scientist in the Future of Real Estate Initiative at the Saïd Business School, University of Oxford, and as a Data Scientist at the OII on projects that applied data science to understand human development and labour markets: (a) Rural Online Labour Markets, (b) Geonet, and (c) Big Data and Human Development projects.
His research has been published in leading academic journals and it was covered in national and international media. Fabian has been presenting the results and implications of his research in keynote talks at academic conferences as well as policy and industry events.
Fabian teaches the course ‘Social Network Analysis and Interpretation’ at the OII and he supervises master students in social data science.
Having worked as a data scientist in industry and academia, Fabian has investigated social processes with a multitude of different online data sets in numerous domains. These experiences make him confident about the prospects and value of social data science as a key discipline in the 21st century – in academic research as well as in policymaking and industry.
He is optimistic that the availability of large data sets and computational methods will make it possible to describe, predict and manage social phenomena with the same levels of accuracy as processes in the natural sciences.
Besides his role at Oxford University, he runs a social data startup company – DWG Datenwissenschaftliche Gesellschaft Berlin. The DWG aims to bridge academic knowledge generation and social data science innovation. The company applies data science to generate insights into the digital transformation of markets and it works mainly with the public sector and international development organisations. Overall, the DWG works toward collecting data from online sources representing different layers of economic activity in Europe in order to build an empirical foundation for evidence-based policymaking in the 21st century.
Fabian has studied economics in Berlin, Warsaw and Vienna. He holds a doctoral degree from the Vienna University of Economics and Business (2016).
Computational social science, Social data science, Mining big social data, Future of work, Remote work, Digital economy, Platform economy, Internet geography.
Stephany, F. and Braesemann, F. (2017) “An exploration of wikipedia data as a measure of regional knowledge distribution“, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10540 LNCS 31-40.
This programme supports research in the sphere of AI & Work.
This research project is examining the geographies, drivers, and effects of Sub-Saharan Africa's emerging information economies at a time of changing connectivity and Internet access across the region.
This project tracks where digitally transacted work takes place, and compares this data to city- and state-level labour market statistics in order to test whether geographical working patterns differ between online and traditional labour markets.
13:00 -14:00, 1 St Giles
With Prof Ya-Wen LeiHow China’s economic development combines a veneer of unprecedented progress with the increasingly despotic rule of surveillance over all aspects of life
20 October 2022
New research from the University of Oxford shows how remote digital work is exacerbating the global urban-rurual divide.
20 July 2022
In their latest blog, data experts Felix J.Hoffman, Fabian Braesemann and Timm Teubner explain how data science can help tourism become more sustainable.
28 June 2022
The Internet promised to spread economic opportunities to rural areas, but employment trends show the opposite. Prof Vili Lehdonvirta and Dr Fabian Braesemann discuss whether online labour platforms can help counter this trend.
10 March 2022
Putin's Ukraine war has caused gas prices to skyrocket. In this blog, we show ways everyone can save energy and help reduce the dependency on Russian gas supply.
Einblicke, 24 April 2023
Interview with Dr Fabian Braesemann
Die ZEIT, 19 October 2022
Nature outside, the home office inside: This is now possible in many jobs. But do more employees now live in rural areas? A look at data.
FDI Intelligence, 02 September 2022
Despite promise of opportunities for rural areas, data on remote work are not promising
An introduction to the analysis of online social networks, providing students with the tools necessary to undertake research on online networks, and to give an overview of the type of questions that these data can answer.
This course introduces students to statistics for the social sciences, with an emphasis on application to research on the Internet and society.
