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The purpose of this paper is to discuss new findings on municipal-level occupational licensing and other forms of regulation and introduce a new data set available for researchers to study this largely unexplored area.

Municipal occupational regulatory data were gathered in 2017 and 2018 from the 50 largest cities in the USA. Data available in the data set include city and state IDs, occupational IDs, requirements associated with the regulations (e.g. education, experience and fees), penalties for practicing without meeting the requirements, regulatory type and NAICS category. Descriptive statistics are used to present information about the number and types of occupations regulated and the number and types of regulations present in the cities.

The median number of occupations regulated by a city is 24.5, but the numbers per city vary substantially. The 1,832 occupations in the data set are distributed across every NAICS category. The most prevalent form of regulation is registration; certification is least used. Cities are quite diverse in the types of regulations applied to occupations, and the type of regulation varies substantially by industry type.

Research on licensing is dominated by state-level analyses. Largely absent are systematic analyses of licensing and other regulation at the municipal level, likely due to a lack of data. This means the current licensing literature underestimates – perhaps severely so – the prevalence, burdens and effects of licensing. The data introduced and discussed in this paper can help remedy this dearth of municipal licensing analyses.

The purpose of this paper is to scope the field of child-related online harms and to produce a resource pack to communicate all the different dimensions of this domain to teachers and carers.

With children increasingly operating as independent agents online, their teachers and carers need to understand the risks of their new playground and the range of risk management strategies they can deploy. Carers and teachers play a prominent role in applying the three M’s: mentoring the child, mitigating harms using a variety of technologies (where possible) and monitoring the child’s online activities to ensure their cybersecurity and cybersafety. In this space, the core concepts of “cybersafety” and “cybersecurity” are substantively different and this should be acknowledged for the full range of counter-measures to be appreciated. Evidence of core concept conflation emerged, confirming the need for a resource pack to improve comprehension. A carefully crafted resource pack was developed to convey knowledge of risky behaviors for three age groups and mapped to the appropriate “three M’s” to be used as counter-measures.

The investigation revealed key concept conflation, and then identified a wide range of harms and countermeasures. The resource pack brings clarity to this domain for all stakeholders.

The number of people who were involved in the empirical investigation was limited to those living in Scotland and Nigeria, but it is unlikely that the situation is different elsewhere because the internet is global and children’s risky behaviors are likely to be similar across the globe.

Others have investigated this domain, but no one, to the authors’ knowledge, has come up with the “Three M’s” formulation and a visualization-based resource pack that can inform educators and carers in terms of actions they can take to address the harms.