This essay argues that to assess the likelihood that incumbent firms will successfully make the required transformations to their strategy and operations in the face of technological transformations, it is not sufficient to investigate their dynamic capabilities. Whether an incumbent is likely to succeed in its effort to change itself via dynamic capabilities depends also on how quickly start-ups or diversifying entrants can build ordinary capabilities to offer the new technology at scale. We offer a framework to assess dynamic competition that integrates both ordinary and dynamic capabilities into the analysis by systematically comparing incumbents, start-ups, and diversifying entrants. We illustrate the framework with a case study of electric vehicles and aim to show how crucial such comparative analyses are for making well-founded predictions about the likelihood that incumbents will be able to maintain their leadership positions in the future.

Commentators now regularly declare that the International Criminal court (ICC) – and international criminal law as a whole – is in crisis. It is certainly the case that the ICC faces a number of operational challenges, and that these challenges worry its defenders. However, one unexamined rationalist assumption is that the Court’s inability to deliver consistent outputs will mean waning influence. This article explores an alternative constructivist theory that the ICC produces diffuse social impacts that are not necessarily tied to its operating effectively. This theory is tested statistically using Google Trends data. Specifically, the article examines whether ICC intervention in a country is associated with more internet search for ‘human rights’. Taking this to be a measure of changing discourse in countries, the article finds that some types of ICC involvement are associated with a far higher interest in human rights, and that this interest only increases as ICC involvement extends in time. In short, despite its disappointments, evidence suggests that the ICC still serves a socio-pedagogical function. Though it does not fit well within a rational evaluation framework, this kind of information should be considered in ICC performance reviews.

In June 2019, Google announced plans to connect Africa to Europe through an undersea internet cable project named Equiano. As a techno-commercial platform, Google’s gesture warrants scrutiny and propels this essay’s analyses of the political connections of Internet spaces that also enable a visual turn in the scholarship of African history. Using the Google search engine and Facebook, Yékú and Ojebode stress the embeddedness of digital technologies in cultural meanings that include visual narratives that visibilize government’s ahistoricism. They conclude by foregrounding the digital labors of Nigerian digital subjects who deploy historical photographs on Facebook as expressions of performative nostalgia.

Suicide in the US has increased in the last decade, across virtually every age and demographic group. Parallel increases have occurred in non-fatal self-harm as well. Research on suicide across the world has consistently demonstrated that suicide shares many properties with a communicable disease, including person-to-person transmission and point-source outbreaks. This essay illustrates the communicable nature of suicide through analogy to basic infectious disease principles, including evidence for transmission and vulnerability through the agent–host–environment triad. We describe how mathematical modeling, a suite of epidemiological methods, which the COVID-19 pandemic has brought into renewed focus, can and should be applied to suicide in order to understand the dynamics of transmission and to forecast emerging risk areas. We describe how new and innovative sources of data, including social media and search engine data, can be used to augment traditional suicide surveillance, as well as the opportunities and challenges for modeling suicide as a communicable disease process in an effort to guide clinical and public health suicide prevention efforts.

Google's ‘Community Mobility Reports’ (CMR) detail changes in activity and mobility occurring in response to COVID-19. They thus offer the unique opportunity to examine the relationship between mobility and disease incidence. The objective was to examine whether an association between COVID-19-confirmed case numbers and levels of mobility was apparent, and if so then to examine whether such data enhance disease modelling and prediction. CMR data for countries worldwide were cross-correlated with corresponding COVID-19-confirmed case numbers. Models were fitted to explain case numbers of each country's epidemic. Models using numerical date, contemporaneous and distributed lag CMR data were contrasted using Bayesian Information Criteria. Noticeable were negative correlations between CMR data and case incidence for prominent industrialised countries of Western Europe and the North Americas. Continent-wide examination found a negative correlation for all continents with the exception of South America. When modelling, CMR-expanded models proved superior to the model without CMR. The predictions made with the distributed lag model significantly outperformed all other models. The observed relationship between CMR data and case incidence, and its ability to enhance model quality and prediction suggests data related to community mobility could prove of use in future COVID-19 modelling.

The analysis of political texts from parliamentary speeches, party manifestos, social media, or press releases forms the basis of major and growing fields in political science, not least since advances in “text-as-data” methods have rendered the analysis of large text corpora straightforward. However, a lot of sources of political speech are not regularly transcribed, and their on-demand transcription by humans is prohibitively expensive for research purposes. This class includes political speech in certain legislatures, during political party conferences as well as television interviews and talk shows. We showcase how scholars can use automatic speech recognition systems to analyze such speech with quantitative text analysis models of the “bag-of-words” variety. To probe results for robustness to transcription error, we present an original “word error rate simulation” (WERSIM) procedure implemented in $R$. We demonstrate the potential of automatic speech recognition to address open questions in political science with two substantive applications and discuss its limitations and practical challenges.

This article is written by Paul Magrath who is the Head of Product Development and Online Content at the Incorporated Council of Law Reporting for England and Wales (ICLR). His article explores the issues surrounding the custodianship of those public legal documents, such as court judgments, which form primary sources of law but which may also contain private data, and looks at the way custodians of such data can also act as gatekeepers, enhancing or inhibiting access by the public as well as more specialised users. It expands upon an article published by Infolaw.co.uk entitled “Custodians and gatekeepers: maintaining access to public legal information”, and refers to recent case law involving the tension between information in the public domain and the individual's privacy and “right to be forgotten” by search engines. The article also looks at how court documents are made accessible in other jurisdictions and imagines how things might be improved in our own courts, before concluding that the model of a not-for-profit organisation, such as the ICLR or BAILII (the British and Irish Legal Information Institute), may work as well if not better than public or private management of judgments and other legal public information.