Boston’s “Wicked Free Wi-Fi”: A New Model for Municipal Wi-Fi?

In my last post I briefly reviewed the less-than-stellar history of municipal Wi-Fi networks that were deployed roughly a decade ago. As I noted in that post, these projects employed earlier generations of technology and often-poorly-conceived “public-private partnerships.” And, importantly, they were launched well before the combination of smartphones/tablets and data-capped LTE/4G mobile services had turbocharged demand for nomadic Wi-Fi connectivity.

In this post I’m going to focus on an example of what I consider a new generation of municipal Wi-Fi networks, Boston’s Wicked Free Wi-Fi service, which the city formally launched in April.

As reported by Michael Farrell in the Boston Globe:

Boston has switched on a free public Wi-Fi network for about 30,000 residents living in the Grove Hall neighborhood as the first step to blanketing much of the city with wireless Internet service. Dubbed Wicked Free Wi-Fi, the network of outdoor Wi-Fi hotspots will provide Internet coverage over an area of about 1.5 square miles.

In contrast to the first generation of municipal Wi-Fi projects, Boston’s network is focused on the fast-growing demand for nomadic high-speed connectivity rather than the more mature and more technically and financially challenging market for in-home access:

The city stresses that the new Wi-Fi network isn’t designed to be used inside homes as a replacement for wired services that residents can buy from commercial providers. Rather it will work best for mobile users, and is largely intended to be accessed outdoors or in the restaurants and cafes around the neighborhood… making it easier for users with smartphones and tablets to access the Internet on the go.

While “first generation” projects tended to underestimate the technical and economic challenges they faced in targeting the in-home market, the Boston project sets a more realistic yet socially valuable goal of expanding mainly-outdoor coverage. As Farrell explains:

Boston had Wi-Fi hotspots scattered around the city before this rollout — about 70 access points in a few tourist districts or at municipal properties. However, those hotspots reach just a short distance, and do not have the kind of wide-area blanket coverage as the Grove Hall network should provide.

And while first generation projects often looked to a private company like Earthlink to bear the financial risk and deployment costs in exchange for a large measure of control and future profit potential, Boston is taking a different approach. For backhaul—a key component of network cost and performance—it is using its existing fiber network. And, with help from HUD community development grants, it appears to be funding the project itself rather than looking to a private service provider to bear the financial risk. As the Globe article explains:

The Grove Hall project was born during [former mayor Thomas] Menino’s administration, which was awarded a $20.5 million federal grant from the Department of Housing and Urban Development in 2011 that set aside money for redevelopment projects in Dorchester. About $300,000 was used for the Grove Hall build-out… Grove Hall was selected as the launch site because of its large number of low-income families who may not be able to afford the high cost of speedy broadband service.

According to an April 10, 2015 press release issued by current mayor Marty Walsh’s office, the Wi-Fi project is “using resources from the City and its partners, as well as [HUD’s] Choice Neighborhoods program.”

“HUD is very excited about Boston’s innovative use of Choice Neighborhood funding for the Grove Hall Wi-Fi project,” said Barbara Fields, HUD New England Regional Administrator. “This project is opening the door to opportunity for Boston residents, in particular students, and we are proud to be a part of this ‘out of the box’ thinking that is improving lives.”

In terms of the network’s future expansion, Farrell reports that:

[O]ver the next two years, the Walsh administration plans to extend the Wi-Fi network to all 20 commercial districts that are part of the city’s Main Streets neighborhoods program. Those areas are eligible for federal grant money to fund community development projects.

According to the city’s press release, when it was issued the Wicked Free network was attracting 14,559 visitors per month, including 79% repeat visitors. More information on the project, including an interactive network map, is available here, along with an invitation to “[d]ownload the Citizens Connect app to alert the City of neighborhood issues such as potholes, damaged signs, and graffiti.”

More than just a physical network

The Wicked Free web site’s invitation to download the Citizens Connect app is a reminder that, when considering current-generation municipal network projects, it’s important to keep in mind that they are increasingly viewed as part of a broader strategy aimed at creating what authors Stephen Goldsmith and Susan Crawford refer to as “The Responsive City.”

Boston is a good example of this. For example, in 2010 the city launched the Mayor’s Office of New Urban Mechanics (for information on MONUM projects see here and here).

According to its web site MONUM:

[P]ilot[s] experiments that offer the potential to significantly improve the quality of City services…[and] focuses on four major issue areas: Education, Engagement, the Streetscape and Economic Development. To design, conduct and evaluate pilot projects in these areas, MONUM builds partnerships between constituents, academics, entrepreneurs, non-profits and City staff.

Below are some links with additional information about Boston’s effort to use technology (including the Wicked Free Wi-Fi network) to become a Responsive City:

An NPR interview with two members of Mayor Walsh’s staff
A summary of key components of Walsh’s “innovation platform”
A collection of articles about some of Boston’s tech-related initiatives, published on the Boston Globe’s BetaBoston web site
A blog post by Walsh entitled “5 Tech Innovations Boston is Using Right Now”

Primary takeaways

Digital inequality shows larger impacts on youth academic performance as compared to time spent on screens.
Digital skills play a significant role in mediating unstructured online engagement (social media use, playing video games, browsing the web) and youth academic, social, and psychosocial development.
Unstructured online engagement and face-to-face social interaction are complementary and continuously interact to create and enhance youth capital outcomes.

A familiar story: concerns of screen time

Today’s discussions of adolescent well-being have coalesced around a clear narrative: teenagers spend too much time online, and their academic performance, mental health, and social lives are deteriorating as a result. A steady stream of academic papers, books, and op-eds, alongside a growing number of policy proposals––school phone bans, age-gated social media use, restrictive screen-time limits––rest on the same underlying claim, aligning with a contemporary, digitized version of the displacement hypothesis:

Screen time, particularly the unstructured, free-time spent on social media, gaming, watching video content, or browsing the web, is said to displace the productive face-to-face activities that build adolescents into capable adults.

The implied and often practiced solution is restriction. In response, this dissertation tested this claim directly, and placed it within the broader context of adolescence.

Across three years, I followed 653 Michigan adolescents from early through late adolescence: in grades 8 or 9 (survey one, 2019) to grades 11 or 12 (survey two, 2022). Notably, these students, studied over time, were part of a broader pooled sample of 5,825 students across the same eighteen highschools. The study window captured the year before and the year after the peak of the COVID-19 pandemic and related lockdown orders, functioning as an unprecedented stress test for theories of adolescent social, academic, and digital life and, importantly, as a benchmark to compare the effects of pandemic-related change and inequality to those effects from screen time alone.

Across four studies of adolescents, consisting of six cross-sectional and longitudinal analyses, findings are not consistent with the displacement narrative, nor the broader concerns about the time youth spend on screens.

Findings are, however, consistent with something the current public and (most) academic discussions have largely overlooked or ignored: the gaps and inequalities that determine whether adolescents can access and use the internet meaningfully in the first place.

What the displacement hypothesis overlooks

Displacement and related research and policy concerning the time young people spend online assumes a “zero-sum” model of adolescent day-to-day time. An hour online is an hour not spent studying, reading, sleeping, or interacting face-to-face (i.e., time spent on more productive or developmentally “better” activity).

Indeed, this makes sense logically. However, as an empirical claim, this model requires time spent online to behave differently from all other ways adolescents allocate time; it must produce uniquely negative outcomes and be inherently harmful across digital contexts, rather than the typical mix of trade-offs corresponding to, and often overlooked among any other social or developmental context.

Yet, online time does not differ from other youth activity. Instead, I find it has a mix of pros, cons, and even some “uniquely digital” benefits which youth utilize for social and academic gains. When I compared unstructured digital media use against traditional face-to-face interaction and activities, both produced similar patterns: some negative associations with academic outcomes, some null, and some positive.

Trade-offs within traditional face-to-face activity (for example, social time with friends and family, or time spent in after-school extracurriculars) are treated as ordinary developmental experiences that must be experienced for the betterment of development. The identical trade-offs involving digital time tend to be overlooked or ignored, and online engagement is perceived as altogether harmful.

A growing body of evidence, including this dissertation, do not support that distinction. Indeed, the developmental context is routinely misread, leaving out the context of the experiences and time spent on digital, as well as face-to-face activities, interactions, existing inequalities, and changes inherent to development. As such, I proposed a novel framework to understand these contexts:

Digital capital exchange

Rather than treating screen time as a unified harm, this dissertation advances an “exchange”-based framework, grounded in James Coleman’s theories of youth capital and digital inequality scholarship, particularly following Eszter Hargittai, Jan van Dijk, and Alexander van Deursen (see this list of all dissertation references for full works).

The core proposition is that adolescents’ online engagement is not an alternative to developmental activity but another, albiet modern domain through which young people accumulate and mobilize online resources––particularly digital skills––that work alongside existing social networks and experiences to be exchanged for human capital (measured as: academic achievement, aspirations, STEM interest) and social capital (peer networks, community participation, extracurricular involvement).

Online time is not the mechanism; instead, it is digital skills that I find to be the most vital component in youth capital exchange and enhancement. Unstructured online engagement contributes to online skills; those skills, accumulated and mobilized alongside existing peer, family, and community networks, translate into the outcomes researchers and parents care about, i.e., academic achievement, aspirations, and face-to-face interaction and social networks.

This digital capital framework treats online and in-person contexts as complementary rather than antagonistic, and it situates adolescents’ digital lives within the structural conditions––connectivity quality, device reliability, autonomy of use––that determine whether exchange can occur at all.

Methods (in brief)

Paper-and-pencil surveys were administered to students in classrooms at two time-points: spring 2019 (N=2,876) and spring 2022 (N=2,949), across the same eighteen predominantly rural Michigan schools, grades 8–12. Official, nationally-ranked standardized reading, writing, and math test scores (PSAT 8/9, PSAT 10, SAT; College Board) were then anonymously linked to students’ survey responses with the help of participating districts.

Cross-sectional path analyses modeled pooled and wave-specific samples (pooled N=5,825); two-wave cross-lagged panel models tested reciprocal, longitudinal relationships on the 653 students who completed both surveys. Multi-group analyses of the cross-lagged panel models compared relationships between girls (N=345) and boys (N=308). All longitudinal models included time-invariant socioeconomic covariates as well as time-varying covariates to reduce omitted-variable bias.

Key findings: an overview

To summarize, to the best of my ability, eight chapters across 376 pages, I present two primary findings:

First: digital inequality predicted larger and more consistent declines in human capital than screen time did.

Unreliable home internet and technology maintenance problems––experiencing and/or dealing with broken or outdated devices and software, restrictive school-issued hardware, issues with connecting to or maintaining internet access––decreased youth GPA and standardized test achievement. And, these effect sizes were substantially larger than any negative direct effect from unstructured digital media use.

Across all four empirical studies, digital inequality emerged as the most substantial predictor of academic and developmental decline.

Second: digital skills mediated the relationship between online time and adolescent academic and social outcomes.

Unstructured digital media use, particularly online gaming and web browsing, predicted higher internet and social media skills for adolescents, which in turn predicted stronger academic achievement and self-efficacy (human capital), and social interaction and extracurricular participation (social capital). The positive indirect effect of screen time through skills offset or exceeded any small negative direct effects across several outcomes (supporting our existing peer-reviewed work: Hales & Hampton, 2025, and which you can read more about here).

These exchange processes were amplified when peer and family networks were modeled alongside digital skills, consistent with the premise that online and offline contexts operate together rather than in competition. The effect was not universal: social media skills amplified rather than offset a negative association with consistency of interest, one of the two subscales of grit. The exchange framework describes a contextual and conditional, domain-specific mechanism, not a blanket defense of time spent online.

Implications

If digital inequality, and not screen time, is the primary predictor of adolescent academic and developmental decline, and still warrants concern regarding access quality and experience even with the broader adoption of digital devices across the United States, the current policy emphasis on restriction is pointed at the wrong target. The evidence supports a different set of priorities.

Stable, reliable home (fast) broadband should be treated as an educational prerequisite rather than a consumer amenity. Unreliable connectivity exerted larger downward pressure on human capital than any measure of screen time, and that pressure intensified during the pandemic-era reliance on digital infrastructure. Technology maintenance, device repair, replacement, technical support, and the flexibility to install software and explore the web autonomously, matters as much as initial access, and school-issued devices that restrict autonomous use appear to hinder skill accumulation rather than support it.

Restrictive parental mediation of internet use was negatively associated with grit and self-efficacy at magnitudes comparable to the positive contributions of face-to-face activity. This challenges the assumption that digital restriction functions protectively. Instructive mediation, teaching adolescents to verify information, navigate platforms critically, and mobilize online resources toward meaningful ends, is the posture the data supports.

Finally, the technical skill-building that occurs through gaming, self-directed exploration, and deep web use is skill-building, not wasted time. Closing the persistent gender gap in these domains likely requires legitimizing technical play for girls, rather than restricting it for everyone.

None of the above is an argument that screen time is benign. It is an argument that screen time is the wrong focus, particularly when studied mostly in isolation. Context matters substantially, whether that is time spent on other activities during adolescence, the period of adolescence itself, digital inequality, resources gained from such online use, and how all such factors interact. The factor that predicts whether a given adolescent can convert online engagement into capital outcomes is structural: access, infrastructure, skills, and the autonomy to use them. These factors are distributed unevenly, and its uneven distribution, not hours logged, is what separates adolescents who thrive from those who fall behind.

The full dissertation is available through Michigan State University’s ProQuest archive, or see the embedded full-text PDF below. I’m happy to share papers, preprints, or the underlying framework with anyone interested and working in this area––don’t hesitate to reach out via my contact form. Thanks for reading.

Tags: Boston community broadband Responsive City unlicensed spectrum Wi-Fi

Boston’s “Wicked Free Wi-Fi”: A New Model for Municipal Wi-Fi?