Reclaiming Civic Spaces

Curated on Posted on by Stefaan Verhulst

Special edition of  Sur International Journal on Human Rights on crackdowns on civil society around the world: “As shown by both the geographic reach of the contributions (authors from 16 countries) and the infographics to this edition, the issue is clearly of global concern. The first section of the journal seeks to address why this crackdown is happening, who is driving it and whether there is cross-fertilisation of ideas between actors.

The edition then focuses on the strategies that activists are implementing to combat the crackdown. A summary of these strategies can be seen in a video which captures a number of the author activists’ perspectives, shared when they gathered in São Paulo in October 2017 for a writers’ retreat….

The role of new media and online spaces in combatting the crackdown is prevalent in the contributions. The ease and speed with which information can be passed on platforms such as Facebook, Twitter, WhatsApp and Telegram was cited as being important in mobilising support rapidly as well as helping reach previously untapped constituents (Sara Alsherif, Zoya Rehman, Raull Santiago, Victoria Ohaeri, Valerie Msoka and Denise Dora, Ravindran Daniel and Barbara Klugman). Despite the opportunities, Bondita Acharya, Helen Kezie-Nwoha, Sondos Shabayek, Shalini Eddens and Susan Jessop, Sara Alsherif and Zoya Rehman all note the challenges that digital tools present. Harassment of activists online is becoming increasingly common, particularly towards women. In addition, authorities are constantly developing new ways of monitoring these platforms. To combat this, Sara Alsherif describes how developing relationships with tech companies can help activists stay one step ahead of the curve.

The use of video is explored by Hagai El-Ad and Raull Santiago, both of whom describe how the medium is an important tool in capturing the restrictions being inflicted on civil society in their respective contexts. Moreover, Raull Santiago describes how his collective is trying to use these video images, captured by members of his community, in legal processes against the police force….(More)”.

Democracy Index 2017

Curated on Posted on by Stefaan Verhulst

The Economist: “The latest edition of The Economist Intelligence Unit’s Democracy Index records the worst decline in global democracy in years. Not a single region recorded an improvement in its average score since 2016, as countries grapple with increasingly divided electorates. Freedom of expression in particular is facing new challenges from both state and non-state actors, and is a special focus of this year’s report.

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The Economist Intelligence Unit’s Democracy Index is based on five categories: electoral process and pluralism; civil liberties; the functioning of government; political participation; and political culture. Based on their scores on 60 indicators within these categories, each country is then itself classified as one of four types of regime: full democracy; flawed democracy; hybrid regime; and authoritarian regime….(More)”

2018 Edelman Trust Barometer

Curated on Posted on by Stefaan Verhulst

Executive Summary: “Volatility brews beneath a stagnant surface. If a single theme captures the state of the world’s trust in 2018, it is this. Even as people’s trust in business, government, NGOs and media across 28 countries remained largely unchanged, experiencing virtually no recovery from 2017 (Fig. 1), dramatic shifts are taking place at the country level and within the institution of media.

Globally, 20 of 28 countries lie in distruster territory (Fig. 2), one more than in 2017. Trust among the informed public—those with higher levels of income and education— declined slightly on a global level, from 60 percent to 59 percent, thrusting this group into neutral territory from its once trusting status. A closer look, however, reveals a world moving apart (Fig. 3).

In 2018, two poles have emerged: a cluster of six nations where trust has dramatically increased, and six where trust has deeply declined. Whereas in previous years country-level trust has moved largely in lockstep, for the first time ever there is now a distinct split between extreme trust gainers and losers. No country saw steeper declines than the United States, with a 37-point aggregate drop in trust across all institutions.

The loss of trust was most severe among the informed public—a 23-point fall on the Trust Index—nearly erasing the “mass-class” divide that once stood between this segment of the U.S. population and the country’s farless-trusting mass population. At the opposite end of the spectrum, China experienced a 27-point gain, more than any other country. Following behind in the trust gainer category are the UAE (24 points) and South Korea (23 points)….(More)”.

After Big Data: The Coming Age of “Big Indicators”

Curated on Posted on by Stefaan Verhulst

Andrew Zolli at the Stanford Social Innovation Review: “Consider, for a moment, some of the most pernicious challenges facing humanity today: the increasing prevalence of natural disasters; the systemic overfishing of the world’s oceans; the clear-cutting of primeval forests; the maddening persistence of poverty; and above all, the accelerating effects of global climate change.

Each item in this dark litany inflicts suffering on the world in its own, awful way. Yet as a group, they share some common characteristics. Each problem is messy, with lots of moving parts. Each is riddled with perverse incentives, which can lead local actors to behave in a way that is not in the common interest. Each is opaque, with dynamics that are only partially understood, even by experts; each can, as a result, often be made worse by seemingly rational and well-intentioned interventions. When things do go wrong, each has consequences that diverge dramatically from our day-to-day experiences, making their full effects hard to imagine, predict, and rehearse. And each is global in scale, raising questions about who has the legal obligation to act—and creating incentives for leaders to disavow responsibility (and sometimes even question the legitimacy of the problem itself).

With dynamics like these, it’s little wonder systems theorists label these kinds of problems “wicked” or even “super wicked.” It’s even less surprising that these challenges remain, by and large, externalities to the global system—inadequately measured, perennially underinvested in, and poorly accounted for—until their consequences spill disastrously and expensively into view.

For real progress to occur, we’ve got to move these externalities into the global system, so that we can fully assess their costs, and so that we can sufficiently incentivize and reward stakeholders for addressing them and penalize them if they don’t. And that’s going to require a revolution in measurement, reporting, and financial instrumentation—the mechanisms by which we connect global problems with the resources required to address them at scale.

Thankfully, just such a revolution is under way.

It’s a complex story with several moving parts, but it begins with important new technical developments in three critical areas of technology: remote sensing and big data, artificial intelligence, and cloud computing.

Remote sensing and big data allow us to collect unprecedented streams of observations about our planet and our impacts upon it, and dramatic advances in AI enable us to extract the deeper meaning and patterns contained in those vast data streams. The rise of the cloud empowers anyone with an Internet connection to access and interact with these insights, at a fraction of the traditional cost.

In the years to come, these technologies will shift much of the current conversation focused on big data to one focused on “big indicators”—highly detailed, continuously produced, global indicators that track change in the health of the Earth’s most important systems, in real time. Big indicators will form an important mechanism for guiding human action, allow us to track the impact of our collective actions and interventions as never before, enable better and more timely decisions, transform reporting, and empower new kinds of policy and financing instruments. In short, they will reshape how we tackle a number of global problems, and everyone—especially nonprofits, NGOs, and actors within the social and environmental sectors—will play a role in shaping and using them….(More)”.

Making Credit Ratings Data Publicly Available

Curated on Posted on by Stefaan Verhulst

Paper by Marc D. Joffe and Frank Partnoy: “In the aftermath of the 2007-08 global financial crisis, regulators and policy makers recognized the importance of making bond ratings publicly available. Although rating agencies have made some dataavailable, obtaining this information in bulk can be difficult or impossible. At some times, the data is costly; at other times, it is simply unavailable. Some rating agencies have provided data only on a subscription basis for tens or even hundreds of thousands of dollars annually.

The cost and lack of availability of ratings data are particularly striking given the regulatory requirement that rating agencies publish such data. We describe the relevant Securities and Exchange Commission publication rules and requirements. Unfortunately, the ways in which the major credit rating agencies have responded to these rules have not made data available in an easily accessed or comprehensive way and have instead hindered academic and think-tank research into credit ratings. Financial researchers who lack the funds required to purchase bulk ratings must use a variety of ad hoc methods to obtain rating data or limit their studies of credit ratings.

This brief paper describes our recent initiative to make credit ratings data publicly available. We provide links to a software tool written in Python that crawls credit rating agency websites, downloads the XRBL files, and converts them to Comma Separated Value (CSV) format. We also provide a link to the most recently processed ratings data, separated by agency and asset category, as well as the entire universe of ratings actions, including more than eight million assignments, upgrades, downgrades, and withdrawals…(More)”.

Upholding Democracy Amid the Challenges of New Technology

Curated on Posted on by Stefaan Verhulst

Paper by Eyal Benvenisti at the The European Journal of International Law: “The law on global governance that emerged after the Second World War was grounded in irrefutable trust in international organizations and an assumption that their subjection to legal discipline and judicial review would be unnecessary and, in fact, detrimental to their success. The law that evolved systematically insulated international organizations from internal and external scrutiny and absolved them of any inherent legal obligations – and, to a degree, continues to do so.

Indeed, it was only well after the end of the Cold War that mistrust in global governance began to trickle through into the legal discourse and the realization gradually took hold that the operation of international organizations needed to be subject to the disciplining power of the law. Since the mid-1990s, scholars have sought to identify the conditions under which trust in global bodies can be regained, mainly by borrowing and adapting domestic public law precepts that emphasize accountability through communications with those affected.

Today, although a ‘culture of accountability’ may have taken root, its legal tools are still shaping up and are often contested. More importantly, these communicative tools are ill-equipped to address the new modalities of governance that are based on decision-making by machines using raw data (rather than two-way exchange with stakeholders) as their input.

The new information and communication technologies challenge the foundational premise of the accountability school – that ‘the more communication, the better’ – as voters-turned-users obtain their information from increasingly fragmented and privatized marketplaces of ideas that are manipulated for economic and political gain.

In this article, I describe and analyse how the law has evolved to acknowledge the need for accountability, how it has designed norms for this purpose and continues in this endeavour – yet how the challenges it faces today are leaving its most fundamental assumptions open to question. I argue that, given the growing influence of public and private global governance bodies on our daily lives and the shape of our political communities, the task of the law of global governance is no longer limited to ensuring the accountability of global bodies, but is also to protect human dignity and the very viability of the democratic state….(More)”.

Urban Big Data: City Management and Real Estate Markets

Curated on Posted on by Stefaan Verhulst

Report by Richard Barkham, Sheharyar Bokhari and Albert Saiz: “In this report, we discuss recent trends in the application of urban big data and their impact on real estate markets. We expect such technologies to improve quality of life and the productivity of cities over the long run.

We forecast that smart city technologies will reinforce the primacy of the most successful global metropolises at least for a decade or more. A few select metropolises in emerging countries may also leverage these technologies to leapfrog on the provision of local public services.

In the long run, all cities throughout the urban system will end up adopting successful and cost-effective smart city initiatives. Nevertheless, smaller-scale interventions are likely to crop up everywhere, even in the short run. Such targeted programs are more likely to improve conditions in blighted or relatively deprived neighborhoods, which could generate gentrification and higher valuations there. It is unclear whether urban information systems will have a centralizing or suburbanizing impact. They are likely to make denser urban centers more attractive, but they are also bound to make suburban or exurban locations more accessible…(More)”.

“Crowdsourcing” ten years in: A review

Curated on Posted on by Stefaan Verhulst

Kerri Wazny at the Journal of Global Health: “First coined by Howe in 2006, the field of crowdsourcing has grown exponentially. Despite its growth and its transcendence across many fields, the definition of crowdsourcing has still not been agreed upon, and examples are poorly indexed in peer–reviewed literature. Many examples of crowdsourcing have not been scaled–up past the pilot phase.

In spite of this, crowdsourcing has great potential, especially in global health where resources are lacking. This narrative review seeks to review both indexed and grey crowdsourcing literature broadly in order to explore the current state of the field….(More)”.

Selected Readings on Data, Gender, and Mobility

Curated on Posted on by Michelle Winowatan

By Michelle Winowatan, Andrew Young, and Stefaan Verhulst

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of data, gender, and mobility was originally published in 2017.

This edition of the Selected Readings was  developed as part of an ongoing project at the GovLab, supported by Data2X, in collaboration with UNICEF, DigitalGlobe, IDS (UDD/Telefonica R&D), and the ISI Foundation, to establish a data collaborative to analyze unequal access to urban transportation for women and girls in Chile. We thank all our partners for their suggestions to the below curation – in particular Leo Ferres at IDS who got us started with this collection; Ciro Cattuto and Michele Tizzoni from the ISI Foundation; and Bapu Vaitla at Data2X for their pointers to the growing data and mobility literature. 

Introduction

Daily mobility is key for gender equity. Access to transportation contributes to women’s agency and independence. The ability to move from place to place safely and efficiently can allow women to access education, work, and the public domain more generally. Yet, mobility is not just a means to access various opportunities. It is also a means to enter the public domain.

Women’s mobility is a multi-layered challenge
Women’s daily mobility, however, is often hampered by social, cultural, infrastructural, and technical barriers. Cultural bias, for instance, limits women mobility in a way that women are confined to an area with close proximity to their house due to society’s double standard on women to be homemakers. From an infrastructural perspective, public transportation mostly only accommodates home-to-work trips, when in reality women often make more complex trips with stops, for example, at the market, school, healthcare provider – sometimes called “trip chaining.” From a safety perspective, women tend to avoid making trips in certain areas and/or at certain time, due to a constant risk of being sexually harassed on public places. Women are also pushed toward more expensive transportation – such as taking a cab instead of a bus or train – based on safety concerns.

The growing importance of (new sources of) data
Researchers are increasingly experimenting with ways to address these interdependent problems through the analysis of diverse datasets, often collected by private sector businesses and other non-governmental entities. Gender-disaggregated mobile phone records, geospatial data, satellite imagery, and social media data, to name a few, are providing evidence-based insight into gender and mobility concerns. Such data collaboratives – the exchange of data across sectors to create public value – can help governments, international organizations, and other public sector entities in the move toward more inclusive urban and transportation planning, and the promotion of gender equity.
The below curated set of readings seek to focus on the following areas:

  1. Insights on how data can inform gender empowerment initiatives,
  2. Emergent research into the capacity of new data sources – like call detail records (CDRs) and satellite imagery – to increase our understanding of human mobility patterns, and
  3. Publications exploring data-driven policy for gender equity in mobility.

Readings are listed in alphabetical order.

We selected the readings based upon their focus (gender and/or mobility related); scope and representativeness (going beyond one project or context); type of data used (such as CDRs and satellite imagery); and date of publication.

Annotated Reading List

Data and Gender

Blumenstock, Joshua, and Nathan Eagle. Mobile Divides: Gender, Socioeconomic Status, and Mobile Phone Use in Rwanda. ACM Press, 2010.

  • Using traditional survey and mobile phone operator data, this study analyzes gender and socioeconomic divides in mobile phone use in Rwanda, where it is found that the use of mobile phones is significantly more prevalent in men and the higher class.
  • The study also shows the differences in the way men and women use phones, for example: women are more likely to use a shared phone than men.
  • The authors frame their findings around gender and economic inequality in the country to the end of providing pointers for government action.

Bosco, Claudio, et al. Mapping Indicators of Female Welfare at High Spatial Resolution. WorldPop and Flowminder, 2015.

  • This report focuses on early adolescence in girls, which often comes with higher risk of violence, fewer economic opportunity, and restrictions on mobility. Significant data gaps, methodological and ethical issues surrounding data collection for girls also create barriers for policymakers to create evidence-based policy to address those issues.
  • The authors analyze geolocated household survey data, using statistical models and validation techniques, and creates high-resolution maps of various sex-disaggregated indicators, such as nutrition level, access to contraception, and literacy, to better inform local policy making processes.
  • Further, it identifies the gender data gap and issues surrounding gender data collection, and provides arguments for why having a comprehensive data can help create better policy and contribute to the achievements of the Sustainable Development Goals (SDGs).

Buvinic, Mayra, Rebecca Furst-Nichols, and Gayatri Koolwal. Mapping Gender Data Gaps. Data2X, 2014.

  • This study identifies gaps in gender data in developing countries on health, education, economic opportunities, political participation, and human security issues.
  • It recommends ways to close the gender data gap through censuses and micro-level surveys, service and administrative records, and emphasizes how “big data” in particular can fill the missing data that will be able to measure the progress of women and girls well being. The authors argue that dentifying these gaps is key to advancing gender equality and women’s empowerment, one of the SDGs.

Catalyzing Inclusive FInancial System: Chile’s Commitment to Women’s Data. Data2X, 2014.

  • This article analyzes global and national data in the banking sector to fill the gap of sex-disaggregated data in Chile. The purpose of the study is to describe the difference in spending behavior and priorities between women and men, identify the challenges for women in accessing financial services, and create policies that promote women inclusion in Chile.

Ready to Measure: Twenty Indicators for Monitoring SDG Gender Targets. Open Data Watch and Data2X, 2016.

  • Using readily available data this study identifies 20 SDG indicators related to gender issues that can serve as a baseline measurement for advancing gender equality, such as percentage of women aged 20-24 who were married or in a union before age 18 (child marriage), proportion of seats held by women in national parliament, and share of women among mobile telephone owners, among others.

Ready to Measure Phase II: Indicators Available to Monitor SDG Gender Targets. Open Data Watch and Data2X, 2017.

  • The Phase II paper is an extension of the Ready to Measure Phase I above. Where Phase I identifies the readily available data to measure women and girls well-being, Phase II provides informations on how to access and summarizes insights from this data.
  • Phase II elaborates the insights about data gathered from ready to measure indicators and finds that although underlying data to measure indicators of women and girls’ wellbeing is readily available in most cases, it is typically not sex-disaggregated.
  • Over one in five – 53 out of 232 – SDG indicators specifically refer to women and girls. However, further analysis from this study reveals that at least 34 more indicators should be disaggregated by sex. For instance, there should be 15 more sex-disaggregated indicators for SDG number 3: “Ensure healthy lives and promote well-being for all at all ages.”
  • The report recommends national statistical agencies to take the lead and assert additional effort to fill the data gap by utilizing tools such as the statistical model to fill the current gender data gap for each of the SDGs.

Reed, Philip J., Muhammad Raza Khan, and Joshua Blumenstock. Observing gender dynamics and disparities with mobile phone metadata. International Conference on Information and Communication Technologies and Development (ICTD), 2016.

  • The study analyzes mobile phone logs of millions of Pakistani residents to explore whether there is a difference in mobile phone usage behavior between male and female and determine the extent to which gender inequality is reflected in mobile phone usage.
  • It utilizes mobile phone data to analyze the pattern of usage behavior between genders, and socioeconomic and demographic data obtained from census and advocacy groups to assess the state of gender equality in each region in Pakistan.
  • One of its findings is a strong positive correlation between proportion of female mobile phone users and education score.

Stehlé, Juliette, et al. Gender homophily from spatial behavior in a primary school: A sociometric study. 2013.

    • This paper seeks to understand homophily, a human behavior characterizes by interaction with peers who have similarities in “physical attributes to tastes or political opinions”. Further, it seeks to identify the magnitude of influence, a type of homophily has to social structures.
    • Focusing on gender interaction among primary school aged children in France, this paper collects data from wearable devices from 200 children in the period of 2 days and measure the physical proximity and duration of the interaction among those children in the playground.
  • It finds that interaction patterns are significantly determined by grade and class structure of the school. Meaning that children belonging to the same class have most interactions, and that lower grades usually do not interact with higher grades.
  • From a gender lens, this study finds that mixed-gender interaction lasts shorter relative to same-gender interaction. In addition, interaction among girls is also longer compared to interaction among boys. These indicate that the children in this school tend to have stronger relationships within their own gender, or what the study calls gender homophily. It further finds that gender homophily is apparent in all classes.

Data and Mobility

Bengtsson, Linus, et al. Using Mobile Phone Data to Predict the Spatial Spread of Cholera. Flowminder, 2015.

  • This study seeks to predict the 2010 cholera epidemic in Haiti using 2.9 million anonymous mobile phone SIM cards and reported cases of Cholera from the Haitian Directorate of Health, where 78 study areas were analyzed in the period of October 16 – December 16, 2010.
  • From this dataset, the study creates a mobility matrix that indicates mobile phone movement from one study area to another and combines that with the number of reported case of cholera in the study areas to calculate the infectious pressure level of those areas.
  • The main finding of its analysis shows that the outbreak risk of a study area correlates positively with the infectious pressure level, where an infectious pressure of over 22 results in an outbreak within 7 days. Further, it finds that the infectious pressure level can inform the sensitivity and specificity of the outbreak prediction.
  • It hopes to improve infectious disease containment by identifying areas with highest risks of outbreaks.

Calabrese, Francesco, et al. Understanding Individual Mobility Patterns from Urban Sensing Data: A Mobile Phone Trace Example. SENSEable City Lab, MIT, 2012.

  • This study compares mobile phone data and odometer readings from annual safety inspections to characterize individual mobility and vehicular mobility in the Boston Metropolitan Area, measured by the average daily total trip length of mobile phone users and average daily Vehicular Kilometers Traveled (VKT).
  • The study found that, “accessibility to work and non-work destinations are the two most important factors in explaining the regional variations in individual and vehicular mobility, while the impacts of populations density and land use mix on both mobility measures are insignificant.” Further, “a well-connected street network is negatively associated with daily vehicular total trip length.”
  • This study demonstrates the potential for mobile phone data to provide useful and updatable information on individual mobility patterns to inform transportation and mobility research.

Campos-Cordobés, Sergio, et al. “Chapter 5 – Big Data in Road Transport and Mobility Research.” Intelligent Vehicles. Edited by Felipe Jiménez. Butterworth-Heinemann, 2018.

  • This study outlines a number of techniques and data sources – such as geolocation information, mobile phone data, and social network observation – that could be leveraged to predict human mobility.
  • The authors also provide a number of examples of real-world applications of big data to address transportation and mobility problems, such as transport demand modeling, short-term traffic prediction, and route planning.

Lin, Miao, and Wen-Jing Hsu. Mining GPS Data for Mobility Patterns: A Survey. Pervasive and Mobile Computing vol. 12,, 2014.

  • This study surveys the current field of research using high resolution positioning data (GPS) to capture mobility patterns.
  • The survey focuses on analyses related to frequently visited locations, modes of transportation, trajectory patterns, and placed-based activities. The authors find “high regularity” in human mobility patterns despite high levels of variation among the mobility areas covered by individuals.

Phithakkitnukoon, Santi, Zbigniew Smoreda, and Patrick Olivier. Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data. PLoS ONE, 2012.

  • This study used a year’s call logs and location data of approximately one million mobile phone users in Portugal to analyze the association between individuals’ mobility and their social networks.
  • It measures and analyze travel scope (locations visited) and geo-social radius (distance from friends, family, and acquaintances) to determine the association.
  • It finds that 80% of places visited are within 20 km of an individual’s nearest social ties’ location and it rises to 90% at 45 km radius. Further, as population density increases, distance between individuals and their social networks decreases.
  • The findings in this study demonstrates how mobile phone data can provide insights to “the socio-geography of human mobility”.

Semanjski, Ivana, and Sidharta Gautama. Crowdsourcing Mobility Insights – Reflection of Attitude Based Segments on High Resolution Mobility Behaviour Data. vol. 71, Transportation Research, 2016.

  • Using cellphone data, this study maps attitudinal segments that explain how age, gender, occupation, household size, income, and car ownership influence an individual’s mobility patterns. This type of segment analysis is seen as particularly useful for targeted messaging.
  • The authors argue that these time- and space-specific insights could also provide value for government officials and policymakers, by, for example, allowing for evidence-based transportation pricing options and public sector advertising campaign placement.

Silveira, Lucas M., et al. MobHet: Predicting Human Mobility using Heterogeneous Data Sources. vol. 95, Computer Communications , 2016.

  • This study explores the potential of using data from multiple sources (e.g., Twitter and Foursquare), in addition to GPS data, to provide a more accurate prediction of human mobility. This heterogenous data captures popularity of different locations, frequency of visits to those locations, and the relationships among people who are moving around the target area. The authors’ initial experimentation finds that the combination of these sources of data are demonstrated to be more accurate in identifying human mobility patterns.

Wilson, Robin, et al. Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake. PLOS Current Disasters, 2016.

  • Utilizing call detail records of 12 million mobile phone users in Nepal, this study seeks spatio-temporal details of the population after the earthquake on April 25, 2015.
  • It seeks to answer the problem of slow and ineffective disaster response, by capturing near real-time displacement pattern provided by mobile phone call detail records, in order to inform humanitarian agencies on where to distribute their assistance. The preliminary results of this study were available nine days after the earthquake.
  • This project relies on the foundational cooperation with mobile phone operator, who supplied the de-identified data from 12 million users, before the earthquake.
  • The study finds that shortly after the earthquake there was an anomalous population movement out of the Kathmandu Valley, the most impacted area, to surrounding areas. The study estimates 390,000 people above normal had left the valley.

Data, Gender and Mobility

Althoff, Tim, et al. “Large-Scale Physical Activity Data Reveal Worldwide Activity Inequality.” Nature, 2017.

  • This study’s analysis of worldwide physical activity is built on a dataset containing 68 million days of physical activity of 717,527 people collected through their smartphone accelerometers.
  • The authors find a significant reduction in female activity levels in cities with high active inequality, where high active inequality is associated with low city walkability – walkability indicators include pedestrian facilities (city block length, intersection density, etc.) and amenities (shops, parks, etc.).
  • Further, they find that high active inequality is associated with high levels of inactivity-related health problems, like obesity.

Borker, Girija. “Safety First: Street Harassment and Women’s Educational Choices in India.” Stop Street Harassment, 2017.

  • Using data collected from SafetiPin, an application that allows user to mark an area on a map as safe or not, and Safecity, another application that lets users share their experience of harassment in public places, the researcher analyzes the safety of travel routes surrounding different colleges in India and their effect on women’s college choices.
  • The study finds that women are willing to go to a lower ranked college in order to avoid higher risk of street harassment. Women who choose the best college from their set of options, spend an average of $250 more each year to access safer modes of transportation.

Frias-Martinez, Vanessa, Enrique Frias-Martinez, and Nuria Oliver. A Gender-Centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records. Association for the Advancement of Articial Intelligence, 2010.

  • Using encrypted Call Detail Records (CDRs) of 10,000 participants in a developing economy, this study analyzes the behavioral, social, and mobility variables to determine the gender of a mobile phone user, and finds that there is a difference in behavioral and social variables in mobile phone use between female and male.
  • It finds that women have higher usage of phone in terms of number of calls made, call duration, and call expenses compared to men. Women also have bigger social network, meaning that the number of unique phone numbers that contact or get contacted is larger. It finds no statistically significant difference in terms of distance made between calls in men and women.
  • Frias-Martinez et al recommends to take these findings into consideration when designing a cellphone based service.

Psylla, Ioanna, Piotr Sapiezynski, Enys Mones, Sune Lehmann. “The role of gender in social network organization.” PLoS ONE 12, December 20, 2017.

  • Using a large dataset of high resolution data collected through mobile phones, as well as detailed questionnaires, this report studies gender differences in a large cohort. The researchers consider mobility behavior and individual personality traits among a group of more than 800 university students.
  • Analyzing mobility data, they find both that women visit more unique locations over time, and that they have more homogeneous time distribution over their visited locations than men, indicating the time commitment of women is more widely spread across places.

Vaitla, Bapu. Big Data and the Well-Being of Women and Girls: Applications on the Social Scientific Frontier. Data2X, Apr. 2017.

  • In this study, the researchers use geospatial data, credit card and cell phone information, and social media posts to identify problems–such as malnutrition, education, access to healthcare, mental health–facing women and girls in developing countries.
  • From the credit card and cell phone data in particular, the report finds that analyzing patterns of women’s spending and mobility can provide useful insight into Latin American women’s “economic lifestyles.”
  • Based on this analysis, Vaitla recommends that various untraditional big data be used to fill gaps in conventional data sources to address the common issues of invisibility of women and girls’ data in institutional databases.

Democratising the future: How do we build inclusive visions of the future?

Curated on Posted on by Stefaan Verhulst

Chun-Yin San at Nesta: “In 2011, Lord Martin Rees, the British Astronomer-Royal, launched a scathing critique on the UK Government’s long-term thinking capabilities. “It is depressing,” he argued, “that long-term global issues of energy, food, health and climate get trumped on the political agenda by the short term”. We are facing more and more complex, intergenerational issues like climate change, or the impact of AI, which require long-term, joined-up thinking to solve.

But even when governments do invest in foresight and strategic planning, there is a bigger question around whose vision of the future it is. These strategic plans tend to be written in opaque and complex ways by ‘experts’, with little room for scrutiny, let alone input, by members of the public….

There have been some great examples of more democratic futures exercises in the past. Key amongst them was the Hawai’i 2000 project in the 1970s, which bought together Hawaiians from different walks of life to debate the sort of place that Hawai’i should become over the next 30 years. It generated some incredibly inspiring and creative collective visions of the future of the tropical American state, and also helped embed long-term strategic thinking into policy-making instruments – at least for a time.

A more recent example took place over 2008 in the Dutch Caribbean nation of Aruba, which engaged some 50,000 people from all parts of Aruban society. The Nos Aruba 2025 project allowed the island nation to develop a more sustainable national strategic plan than ever before – one based on what Aruba and its people had to offer, responding to the potential and needs of a diverse community. Like Hawai’i 2000, what followed Nos Aruba 2025 was a fundamental change in the nature of participation in the country’s governance, with community engagement becoming a regular feature in the Aruban government’s work….

These examples demonstrate how futures work is at its best when it is participatory. …However, aside from some of the projects above, examples of genuine engagement in futures remain few and far between. Even when activities examining a community’s future take place in the public domain – such as the Museum of London’s ongoing City Now City Future series – the conversation can often seem one-sided. Expert-generated futures are presented to people with little room for them to challenge these ideas or contribute their own visions in a meaningful way. This has led some, like academics Denis Loveridge and Ozcan Saritas, to remark that futures and foresight can suffer from a serious case of ‘democratic deficit‘.

There are three main reasons for this:

  1. Meaningful participation can be difficult to do, as it is expensive and time-consuming, especially when it comes to large-scale exercises meant to facilitate deep and meaningful dialogue about a community’s future.

  2. Participation is not always valued in the way it should be, and can be met with false sincerity from government sponsors. This is despite the wide-reaching social and economic benefits to building collective future visions, which we are currently exploring further in our work.

  3. Practitioners may not necessarily have the know-how or tools to do citizen engagement effectively. While there are plenty of guides to public engagement and a number of different futures toolkits, there are few openly available resources for participatory futures activities….(More)”