Publications

Links, trade and AI: An analysis of the informal knowledge network in Sub-Saharan Africa

Published: 2019

We analyse the informal networking activity with tech and business content in Sub-Saharan Africa. We investigate its spatial distribution, how the extrovertedness of local communities correlates with international trade data and how the region’s technologically specialised communities compare to those of the European Union (EU).

Recommended citation: Stathoulopoulos, K. Links, trade and AI: An analysis of the informal knowledge network in Sub-Saharan Africa (July 29, 2019).

Gender Diversity in AI Research

Published: 2019

Lack of gender diversity in the Artificial Intelligence (AI) workforce is raising growing concerns, but the evidence base about this problem has until now been based on statistics about the workforce of large technology companies or submissions to a small number of prestigious conferences.

Recommended citation: Stathoulopoulos, Konstantinos and Mateos-Garcia, Juan C, Gender Diversity in AI Research (July 29, 2019). Available at SSRN: https://ssrn.com/abstract=3428240

Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology.

Published: 2018

General Purpose Technologies (GPTs) that can be applied in many industries are an important driver of economic growth and national and regional competitiveness. In spite of this, the geography of their development and diffusion has not received significant attention in the literature. We address this with an analysis of Deep Learning (DL), a core technique in Artificial Intelligence (AI) increasingly being recognized as the latest GPT. We identify DL papers in a novel dataset from ArXiv, a popular preprints website, and use CrunchBase, a technology business directory to measure industrial capabilities related to it.

Recommended citation: Klinger, J., Mateos-Garcia, J.C. and Stathoulopoulos, K., 2018. Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology.

The immersive economy in the UK

Published: 2018

This report, commissioned by Immerse UK with funding from Innovate UK, provides hard data about the size of the sector, its performance, its geography, the drivers of success and the barriers to growth. Information was gathered by Nesta, with help from Glass – a start-up with expertise in text mining from websites – and from strategy and research consultancy MTM London. It used methods that combined mining of data, a business survey and in-depth interviews.

Recommended citation:

Creative Nation: How the Creative Industries are Powering the UK’s Nations and Regions

Published: 2018

Creative Nation uses official, open and web data to map the creative industries in the UK, their evolution, contribution to local economic development, the strength of their support ecosystems - including research and informal networking - and their connections with each other. Ultimately, it seeks to contribute to our understanding of the sector and inform the best policies to support it. It has been created by Nesta in collaboration with the Creative Industries Council.

Recommended citation: Mateos Garcia, J., Klinger, J. and Stathoulopoulos, K., 2018. ’Creative Nation: How the Creative Industries are Powering the UK’s Nations and Regions. London: Nesta.

An (increasingly) visible college: Mapping and strengthening research and innovation networks with open data

Published: 2017

Innovation policymakers need timely, detailed data about scientific research trends and networks to monitor their evolution and put in place suitable strategies to support them. We have analysed the Gateway to Research, an open dataset about research funding and university-industry collaborations in the UK in a project to map innovation in Wales.

Recommended citation: Mateos-Garcia, J., Stathoulopoulos, K. and Mohamed, S.B., 2017. An (increasingly) visible college: Mapping and strengthening research and innovation networks with open data. SocArXiv Papers.

Mapping without a map: Exploring the UK business landscape using unsupervised learning

Published: 2017

Policy interventions have to be timely and tailored to specific sectors of the economic ecosystem to maximise their potential impact. We propose a system based on open data that offers policy makers two capabilities. First, it enables them to explore the digital and tech company space with high granularity through keywords, specific technologies or company names, and identify relevant organisations and those most similar to them. Second, it provides an overview of the ecosystem by creating thematic topics that characterise the activities of these companies. We demonstrate the effectiveness of this system in three activity areas not currently captured in the SIC codes.

Recommended citation: Stathoulopoulos, Kostas, and Juan Mateos-Garcia. 2017. “Mapping Without a Map: Exploring the UK Business Landscape Using Unsupervised Learning.” SocArXiv. November 24. doi:10.31235/osf.io/ryxdk.