Tag Archives: Cities

Social Media Generates Social Capital: Implications for City Resilience and Disaster Response

A new empirical and peer-reviewed study provides “the first evidence that online networks are able to produce social capital. In the case of bonding social capital, online ties are more effective in forming close networks than theory predicts.” Entitled, “Tweeting Alone? An Analysis of Bridging and Bonding Social Capital in Online Networks,” the study analyzes Twitter data generated during three large events: “the Occupy movement in 2011, the IF Campaign in 2013, and the Chilean Presidential Election of the same year.”

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What is the relationship between social media and social capital formation? More specifically, how do connections established via social media—in this case Twitter—lead to the formation of two specific forms of social capital, bridging and bonding capital? Does the interplay between bridging and bonding capital online differ to what we see in face-to-face world interactions?

“Bonding social capital exists in the strong ties occurring within, often homogeneous, groups—families, friendship circles, work teams, choirs, criminal gangs, and bowling clubs, for example. Bonding social capital acts as a social glue, building trust and norms within groups, but also potentially increasing intolerance and distrust of out-group members. Bridging social capital exists in the ties that link otherwise separate, often heterogeneous, groups—so for example, individuals with ties to other groups, messengers, or more generically the notion of brokers. Bridging social capital allows different groups to share and exchange information, resources, and help coordinate action across diverse interests.” The authors emphasize that “these are not either/or categories, but that in well-functioning societies the two types or dimensions develop together.”

The study uses social network analysis to measure bonding and bridging social capital. More specifically, they use two associated metrics as indicators of social capital: closure and brokerage. “Closure refers to the level of connectedness between particular groups of members within a broader network and encourages the formation of trust and collaboration. Brokerage refers to the existence of structural holes within a network that are ’bridged’ by a particular member of the network. Brokerage permits the transmission of information across the entire network. Social capital, then, is comprised of the combination of these two elements, which interact over time.”

The authors thus analyze the “observed values for closure and brokerage over time and compare them with different simulations based on theoretical network models to show how they compare to what we would expect offline. From this, [they provide an evaluation of the existence and formation of social capital in online networks.”

The results demonstrate that “online networks show evidence of social capital and these networks exhibit higher levels of closure than what would be expected based on theoretical models. However, the presence of organizations and professional brokers is key to the formation of bridging social capital. Similar to traditional (offline) conditions, bridging social capital in online networks does not exist organically and requires the purposive efforts of network members to connect across different groups. Finally, the data show interaction between closure and brokerage goes in the right direction, moving and growing together.”

These conclusions suggest that the same metrics—closure and brokerage—can be used to monitor “City Resilience” before, during and after major disasters. This is of particular interest to me since my team and I at QCRI are collaborating with the Rockefeller Foundation’s 100 Resilient Cities initiative to determine whether social media can indeed help monitor (proxy indicators of) resilience. Recent studies have shown that changes in employment, economic activity and mobility—each of which is are drivers of resilience—can be gleamed from social media.

While more research is needed, the above findings are compelling enough for us to move forward with Rockefeller on our joint project. So we’ll be launching AIRS in early 2015. AIRS, which stands for “Artificial Intelligence for Resilient Societies” is a free and open source platform specifically designed to enable Rockefeller’s partners cities to monitor proxy indicators of resilience on Twitter.

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See also:

  • Using Social Media to Predict Disaster Resilience [link]
  • Social Media = Social Capital = Disaster Resilience? [link]
  • Does Social Capital Drive Disaster Resilience? [link]
  • Digital Social Capital Matters for Resilience & Response [link]

Data Science for 100 Resilient Cities

The Rockefeller Foundation recently launched a major international initiative called “100 Resilient Cities.” The motivation behind this global project stems from the recognition that cities are facing increasing stresses driven by the unprecedented pace urbanization. More than 75% of people expected to live in cities by 2050. The Foundation is thus rightly concerned: “As natural and man-made shocks and stresses grow in frequency, impact and scale, with the ability to ripple across systems and geographies, cities are largely unprepared to respond to, withstand, and bounce back from disasters” (1).

Resilience is the capacity to self-organize, and smart self-organization requires social capital and robust feedback loops. I’ve discussed these issues and related linkages at lengths in the posts listed below and so shan’t repeat myself here. 

  • How to Create Resilience Through Big Data [link]
  • On Technology and Building Resilient Societies [link]
  • Using Social Media to Predict Disaster Resilience [link]
  • Social Media = Social Capital = Disaster Resilience? [link]
  • Does Social Capital Drive Disaster Resilience? [link]
  • Failing Gracefully in Complex Systems: A Note on Resilience [link]

Instead, I want to make a case for community-driven “tactical resilience” aided (not controlled) by data science. I came across the term “tactical urbanism” whilst at the “The City Resilient” conference co-organized by PopTech & Rockefeller in June. Tactical urbanism refers to small and temporary projects that demonstrate what could be. We also need people-centered tactical resilience initiatives to show small-scale resilience in action and demonstrate what these could mean at scale. Data science can play an important role in formulating and implementing tactical resilience interventions and in demonstrating their resulting impact at various scales.

Ultimately, if tactical resilience projects do not increase local capacity for smart and scalable self-organization, then they may not render cities more resilient. “Smart Cities” should mean “Resilient Neighborhoods” but the former concept takes a mostly top-down approach focused on the physical layer while the latter recognizes the importance of social capital and self-organization at the neighborhood level. “Indeed, neighborhoods have an impact on a surprisingly wide variety of outcomes, including child health, high-school graduation, teen births, adult mortality, social disorder and even IQ scores” (1).

So just like IBM is driving the data science behind their Smart Cities initiatives, I believe Rockefeller’s 100 Resilient Cities grantees would benefit from similar data science support and expertise but at the tactical and neighborhood level. This explains why my team and I plan to launch a Data Science for Resilience Program at the Qatar Foundation’s Computing Research Institute (QCRI). This program will focus on providing data science support to promising “tactical resilience” projects related to Rockefeller’s 100 Resilient Cities initiative.

The initial springboard for these conversations will be the PopTech & Rockefeller Fellows Program on “Community Resilience Through Big Data and Technology”. I’m really honored and excited to have been selected as one of the PopTech and Rockefeller Fellows to explore the intersections of Big Data, Technology and Resilience. As mentioned to the organizers, one of my objectives during this two-week brainstorming session is to produce a joint set of “tactical resilience” project proposals with well articulated research questions. My plan is to select the strongest questions and make them the basis for our initial data science for resilience research at QCRI.

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