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.

How Cities Can Embrace Innovation Without Sacrificing Public Health and Safety

Curated on Posted on by Stefaan Verhulst

Jennifer Bradley at Next City: “Many city governments in the U.S. and elsewhere are torn when it comes to innovation. On the one hand, constituents live in a world that increasingly demands flexibility, interaction, and iteration, and governments want to be seen as responsive to new ideas and services. On the other, the “move fast and break things” ethos of many technology companies seems wildly inappropriate when public health and safety are at stake. Cities are bound by regulatory processes developed decades ago and designed for predictability, stability, and protection—not for speed, ease, and invention. In addition, regulations have accumulated over time to respond to the urgent concerns of years or even decades ago, which might be irrelevant today.

The real work for city leaders today is to create not just new rules, but new ways of writing and adjusting regulations that better fit the dynamism and pace of change of cities themselves. Regulations are a big part of the city’s operating system, and, like an operating system, they should be data-informed, continually tweaked, and regularly refreshed to respond to bugs and new use cases.

We have recently launched a site with recommendations and case studies in four areas where technology is both pushing up against the limits of the current regulatory system and offering new tools to make enforcing and following rules easier: food safety, permitting, procurement, and transportation….(More) (Innovation Regulation site)“.

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)”

The 8p banana that showed Bogotá needed more open public spending

Curated on Posted on by Stefaan Verhulst

María Victoria Angulo in The Guardian: “On a typical school day in Bogotá, Colombia’s capital city, about a million pupils, from four to 18 years old, will sit down for a meal at one of our 384 public schools.

Balanced nutrition is crucial for children’s development. The food we provide may well be their main meal for the entire day. So when concerns were raised in 2016 over the quality, delivery, price, and even the origin of our meals, we took them very seriously.

Colombia had recently started publishing detailed public contracting records as open data for the first time. So our first port of call was to work with our national procurement agency, Colombia Compra Eficiente, to analyse the US$136m that we were spending on meals and other services. What we found shocked us: severe inefficiency, or worse.

Mayor Enrique Peñalosa and I set out radical reforms based on an open contracting approach. We established minimum and maximum prices for meals and we made the whole contracting process competitive and fully open. Sourcing, packing and distribution of food would no longer be a single contract, and the lowest bid price would not be the deciding factor when choosing a supplier. Instead, it would be about quality.

We began sharing all the information about how meals were procured, from their planning to their delivery, on a public online platform for anyone to see, in a way that was easy to understand.

We faced resistance from all directions. Some of the existing suppliers threatened to sue, with nine lawsuits attempting to halt the process, and tensions flared in our politically polarised city, with more than 10 debates in the city council over the process. On top of that, a media smear campaign attempted to discredit and sabotage the reforms by spreading misleading information about, for example, food arriving damaged because of the new system.

In December 2016, we opened up for bids to procure 74 products. By March 2017, suppliers had been found for all of them, except one: no company put in a bid to provide fresh fruit at the set cost.

This made us suspicious….(More)”.

7 lessons learned from $5 million in open innovation prizes

Curated on Posted on by Stefaan Verhulst

Sara Holoubek in the Lab Report: “Prize competitions have long been used to accelerate innovation. In the 18th century, Britain offered a significant prize purse for advancements in seafaring navigation, and Napoleon’s investment in a competition led to innovation in food preservation. More recently, DARPA’s Grand Challenge ignited a decade of progress in autonomous vehicle technology.

Challenges are considered a branch of “open innovation,” an idea that has been around for decades but became more popular after the University of California’s Henry Chesbrough published a book on the topic in 2003. Chesbrough describes open innovation as “a paradigm that assumes that firms can and should use external ideas as well as internal ideas, and internal and external paths to market, as the firms look to advance their technology.”…Here’s what we’ve learned…:

1. It’s a long game.

Clients get more out of open innovation when they reject a “one and done” mentality, opting instead to build an open innovation competency, socialize best practices across the broader organization, and determine the best moments to push the innovation envelope. …

2. Start with problem statement definition.

If a company isn’t in agreement on the problem to be solved, its challenge won’t be successful. …

3. Know what would constitute a “big win.”

Many of our clients are tasked with balancing near-term expectations while navigating what it will take for the organization to thrive in the long term. Rather than meeting in the middle, we ask what would constitute a “big win.” …

4. Invest in challenge design.

The market is flooded with platforms that aim to democratize challenges — and better access to tools is great. But in the absence of challenge design, a competition run on the best platform will fail. ….

5. Understand what it takes to close the gap between concept and viability.

…Solvers often tell us this “virtual accelerator” period — which includes education and exercises in empathy-building, subject matter knowledge, rapid prototyping, and business modeling — is of more value to their teams than prize money.

6. Hug the lawyers — as early as possible.

… Faced with unique constraints, we encourage clients to engage counsel early in the process. …

7. Really, really good marketing is essential.

A key selling point for challenge platforms is the size of their database. Some even monetize “communities.” …(More)”

The Wikipedia competitor that’s harnessing blockchain for epistemological supremacy

Curated on Posted on by Stefaan Verhulst

Peter Rubin at Wired: “At the time of this writing, the opening sentence of Larry Sanger’s Everipedia entry is pretty close to his Wikipedia entry. It describes him as “an American Internet project developer … best known as co-founder of Wikipedia.” By the time you read this, however, it may well mention a new, more salient fact—that Sanger recently became the Chief Information Officer of Everipedia itself, a site that seeks to become a better version of the online encyclopedia than the one he founded back in 2001. To do that, Sanger’s new employer is trying something that no other player in the space has done: moving to a blockchain.

Oh, blockchain, that decentralized “global ledger” that provides the framework for cryptocurrencies like Bitcoin (as well as a thousand explainer videos, and seemingly a thousand startups’ business plans). Blockchain already stands to make medical patient data easier to move and improve food safety; now, Everipedia’s founders hope, it will allow for a more powerful, accountable encyclopedia.

Here’s how it’ll work. Everipedia already uses a points system where creating articles and approved edits amasses “IQ.” In January, when the site moves over to a blockchain, Everipedia will convert IQ scores to a token-based currency, giving all existing editors an allotment proportionate to their IQ—and giving them a real, financial stake in Everipedia. From then on, creating and curating articles will allow users to earn tokens, which act as virtual shares of the platform. To prevent bad actors from trying to cash in with ill-founded or deliberately false articles and edits, Everipedia will force users to put up a token of their own in order to submit. If their work is accepted, they get their token back, plus a little bit for their contribution; if not, they lose their token. The assumption is that other users, motivated by the desire to maintain the site’s value, will actively seek to prevent such efforts….

This isn’t the first time a company has proposed a decentralized blockchain-based encyclopedia; earlier this year, a company called Lunyr announced similar plans. However, judging from Lunyr’s most recent roadmap, Everipedia will beat it to market with room to spare….(More)”.

How Blockchain Technology Is Helping Syrian Refugees

Curated on Posted on by Stefaan Verhulst

Siobhan Kenna at the Huffpost: “Azraq Refugee Camp is a 15 kilometre-wide sea of corrugated aluminium houses in the heart of the vast Jordanian desert. The people that live there are detained by the barbed wire that surrounds the entire complex which is located an hour and a half from the country’s capital city, Amman….

From within the strange environment of the camp and the indistinct future, lies a bastion of normalcy for these people — the supermarket.

In the refugee camp the supermarket is much more than a place to shop or purchase food though: Here it is a vital fibre in the social fabric of a makeshift community….

It’s unbelievable to think then, that a place that is so remote and isolated could be home to a world first initiative involving the emerging Blockchain technology.

The Building Blocks Project is the brain child of Houman Haddad, Regional CBT Advisor for United Nations World Food Programme (WFP). The project aims to make cash-based transactions between the WFP and the beneficiary faster, cheaper and more secure.

Prior to the project’s launch at the Azraq Refugee Camp in Jordan in May 2017, it was first trialled in Pakistan and also in King Abduallah Park Refugee Camp as a means of testing the robustness of the technology. On May 31st 2017 the pilot in Azraq was extended indefinitely.

Traditionally, payments are made to refugees from the WFP via a third party financial service provider. The entity could be a bank, mobile monetary company or something similar and the WFP instructs the financial service provider to credit some of the funds to the refugee so they can spend it at the supermarket or elsewhere.

On top of that, the WFP also needs to transfer the funds to the third party so they can actually pay the beneficiary. Sounds complicated right? Well, the Building Blocks Project aims to eliminate reliance on a third party and with this comes plenty of savings.

“So, what we have done is essentially replaced that financial service provider with the Blockchain,” Houman Haddad told HuffPost Australia.

“So instead of having someone else create virtual accounts and credit functions and so on and so forth, we create the virtual account on the Blockchain for beneficiaries, we upload entitlements to them, and currently in the supermarket where they go, the supermarket requests an authorisation code for transactions from the Blockchain as opposed to the bank….(More)”.

India Social: How Social Media Is Leading The Charge And Changing The Country

Curated on Posted on by Stefaan Verhulst

Book excerpt of Ankit Lal’s book ‘India Social’: on “How social media showed its unique power of crowdsourcing during the Chennai floods…

One ingenious resource that was circulated widely during the floods was a crowdsourced effort that mapped inundated roads in the city. Over 2,500 flooded roads were added to the city’s map via social media, which was put together by engineer and information designer, Arun Ganesh.

The Chennai floods were a superb example of the power of collective effort. Users across social media channels came together to offer shelter, food, transport, and even a place for people to charge their phones. SOS messages asking ground teams to rescue stranded family members also went back and forth, and there were many who offered their homes and offices to those who were stranded.

Perhaps the most simple yet effective tool during the floods was the website chennairains.org.

It began as a simple Google spreadsheet. Sowmya Rao was trying to help her uncle and aunt figure out whether it was safe to stay in their house in suburban Chennai or move to a friend’s place. When she found out that the area they lived in was under severe risk of flooding, she relayed the message to them. But she felt helpless about the countless others who were facing the same plight as her relatives. Acting on a suggestion by another Twitter user, she created the Google spreadsheet that went on to become the website chennairains.org.

The idea was simple: crowdsource details about those who could offer shelter, and pass it on to those who were tweeting about rising waters. A hastily put-together spreadsheet soon blossomed into a multi-faceted, volunteer-driven, highly energetic online movement to help Chennai, and ended up being used by the general public, police officers, government officials and celebrities alike….(More)”.

Open Data in Developing Economies: Toward Building an Evidence Base on What Works and How

Curated on Posted on by Stefaan Verhulst

New book by Stefaan Verhulst and Andrew Young: “Recent years have witnessed considerable speculation about the potential of open data to bring about wide-scale transformation. The bulk of existing evidence about the impact of open data, however, focuses on high-income countries. Much less is known about open data’s role and value in low- and middle-income countries, and more generally about its possible contributions to economic and social development.

Open Data in Developing Economies features in-depth case studies on how open data is having an impact across Screen Shot 2017-11-14 at 5.41.30 AMthe developing world-from an agriculture initiative in Colombia to data-driven healthcare
projects in Uganda and South Africa to crisis response in Nepal. The analysis built on these case studies aims to create actionable intelligence regarding:

(a) the conditions under which open data is most (and least) effective in development, presented in the form of a Periodic Table of Open Data;

(b) strategies to maximize the positive contributions of open data to development; and

(c) the means for limiting open data’s harms on developing countries.

Endorsements:

“An empirically grounded assessment that helps us move beyond the hype that greater access to information can improve the lives of people and outlines the enabling factors for open data to be leveraged for development.”-Ania Calderon, Executive Director, International Open Data Charter

“This book is compulsory reading for practitioners, researchers and decision-makers exploring how to harness open data for achieving development outcomes. In an intuitive and compelling way, it provides valuable recommendations and critical reflections to anyone working to share the benefits of an increasingly networked and data-driven society.”-Fernando Perini, Coordinator of the Open Data for Development (OD4D) Network, International Development Research Centre, Canada

Download full-text PDF – See also: http://odimpact.org/

Somaliland’s voting technology shows how Africa can lead the world

Curated on Posted on by Stefaan Verhulst

Calestous Juma in The Conversation: “Africa has become a testing ground for technological leapfrogging. This is a process that involves skipping stages and moving rapidly to the frontiers of innovation.

Technological leapfrogging in Africa has, so far, focused on economic transformation and the improvement of basic services. Drones are a good example: they’re used in the continent’s health services and in agriculture. In South Africa, robots play a crucial role in mining.

Now, in a remarkable extension of technological leapfrogging, Somaliland has become the first country in the world to use iris recognition in a presidential election. This means that a breakaway republic seeking international recognition will have the world’s most sophisticated voting register.

Democracy and tech in Africa

Somaliland’s shift to such advanced voting technology emerged from a lack of trust because of problems with the 2008 elections. For instance, names were duplicated in the voter register because of pressure from local elders. These fraudulent activities and other logistical issues threatened to undermine Somaliland’s good standing in the international community.

Of course, Somaliland is not the only country in Africa to experience problems with its election processes. Others, like Kenya, have also turned to technology to try and deal with their challenges. This is important. Being able to hold free, fair and credible elections is critical in democratic transitions. The lack of trust in the electoral process remains a key source of political tension and violence.

Technology can help – and Somaliland is set to become a regional powerhouse in the production and deployment of the technological know-how that underpins electronic voting.

So how did Somaliland reach this point? And what lessons do its experiences hold for other countries?…(More)”.