How We Identified Burned Villages in the Democratic Republic of Congo

Curated on Posted on by Stefaan Verhulst

Christophe Koettl in the New York Times: “In mid-February a source in the human rights community told me that villages in a remote region of the Democratic Republic of Congo were being burned amid a renewal of communal fighting. People fleeing the violence told aid workers of arson attacks.

The clashes between the Hema and Lendu communities — on the eastern side of the Ituri province, bordering Uganda — started in December and escalated in early February.

Historically, these distant conflicts have been difficult to analyze. But new technologies allow us to investigate them in close to real time.

I immediately collected active-fire data from NASA — thermal anomalies, or hot spots, that are recorded daily. It showed dozens of fires on the densely forested mountain ridge and along the shoreline of Lake Albert, one of the African Great Lakes between Congo and Uganda.

(Human rights groups also used this type of data, in combination with other evidence, to document the military’s scorched-earth campaign against the Rohingya in Myanmar.)

Active-fire data does not provide the cause of a fire, so one must exercise caution in interpreting it, especially when researching violence. It is more commonly used to track wildfires and agricultural fires.

The satellites that collect this information do not provide actual images; they only record the location of active fires, and very large ones at that. So don’t get your hopes up about watching your neighbors barbecue from space — we aren’t quite there yet.

Google and other online mapping platforms often show only blurry satellite images, or have no location names for remote areas such as the small fishing villages around Lake Albert. This makes it difficult to find places where people live. To deal with this challenge, I exported residential data from the online mapping site Openstreetmap.

I then overlaid the NASA data with this new data in Google Earth to look for recorded fires that were in or near populated places. This process gave me a shortlist of 10 locations to investigate.

Location of satellite-recorded active fires (the flames) and residential area data (the white outlines) helped to identify remote locations that had possibly been burned. © Google Earth/DigitalGlobe

Next, the satellite company DigitalGlobe provided me with high-resolution satellite imagery and analysis of these places. The results were disturbing: All the villages I had identified were at least partially burned, with hundreds of destroyed homes.

As this was not a comprehensive analysis of the whole area affected by violence, the actual number of burned villages is probably much higher. Aid organizations are reporting around 70 burned villages and more than 2,000 destroyed homes.

This new visual evidence provided us with a strong basis to report out the whole story. We now had details from both sides of the lake, not just at the refugee landing site in Uganda….(More)”

Trustworthy data will transform the world

Curated on Posted on by Stefaan Verhulst

John Thornhill at the Financial Times: “The internet’s original sin was identified as early as 1993 in a New Yorker cartoon. “On the internet, nobody knows you’re a dog,” the caption ran beneath an illustration of a pooch at a keyboard. That anonymity has brought some benefits. But it has also created myriad problems, injecting distrust into the digital world. If you do not know the provenance and integrity of information and data, how can you trust their veracity?

That has led to many of the scourges of our times, such as cyber crime, identity theft and fake news. In his Alan Turing Institute lecture in London last week, the American computer scientist Sandy Pentland outlined the massive gains that could result from trusted data.

The MIT professor argued that the explosion of such information would give us the capability to understand our world in far more detail than ever before. Most of what we know in the fields of sociology, psychology, political science and medicine is derived from tiny experiments in controlled environments. But the data revolution enables us to observe behaviour as it happens at mass scale in the real world. That feedback could provide invaluable evidence about which theories are most valid and which policies and products work best.

The promise is that we make soft social science harder and more predictive. That, in turn, could lead to better organisations, fairer government, and more effective monitoring of our progress towards achieving collective ambitions, such as the UN’s sustainable development goals. To take one small example, Mr Pentland illustrated the strong correlation between connectivity and wealth. By studying the telephone records of 100,000 users in south-east Asia, researchers have plotted social connectivity against income. The conclusion: “The more diverse your connections, the more money you have.” This is not necessarily a causal relationship but it does have a strong causal element, he suggested.

Similar studies of European cities have shown an almost total segregation between groups of different socio-economic status. That lack of connectivity has to be addressed if our politics is not to descend further into a meaningless dialogue.

Data give us a new way to measure progress.

For years, the Open Data movement has been working to create public data sets that can better inform decision making. This worldwide movement is prising open anonymised public data sets, such as transport records, so that they can be used by academics, entrepreneurs and civil society groups. However, much of the most valuable data is held by private entities, notably the consumer tech companies, telecoms operators, retailers and banks. “The big win would be to include private data as a public good,” Mr Pentland said….(More)”.

Open data sharing and the Global South—Who benefits?

Curated on Posted on by Stefaan Verhulst

David Serwadda et al in Science: “A growing number of government agencies, funding organizations, and publishers are endorsing the call for increased data sharing, especially in biomedical research, many with an ultimate goal of open data. Open data is among the least restrictive forms of data sharing, in contrast to managed access mechanisms, which typically have terms of use and in some cases oversight by the data generators themselves. But despite an ethically sound rationale and growing support for open data sharing in many parts of the world, concerns remain, particularly among researchers in low- and middle-income countries (LMICs) in Africa, Latin America, and parts of Asia and the Middle East that comprise the Global South. Drawing on our perspective as researchers and ethicists working in the Global South, we see opportunities to improve community engagement, raise awareness, and build capacity, all toward improving research and data sharing involving researchers in LMICs…African scientists have expressed concern that open data compromises national ownership and reopens the gates for “parachute-research” (i.e., Northern researchers absconding with data to their home countries). Other LMIC researchers have articulated fears over free-riding scientists using the data collected by others for their own career advancement …(More)”

The End of the End of History?

Curated on Posted on by Stefaan Verhulst

Introduction to Special Issue of The Hedgehog Review: “Although Francis Fukuyama never said the triumph of liberal democracy was inevitable, his qualified declaration of the “the end of history” captured the optimistic, sometimes naive tenor of the early post-Cold War era. But how quickly that confidence faded! Unmistakable signs of history’s resumption began to appear less than two decades after the fall of the Berlin Wall. In its 2008 annual report on political rights and civil liberties around the world, the democracy watchdog Freedom House took troubled note of the reversal of progress in a number of key countries in South Asia, the Middle East, Africa, and the former Soviet space.

This “profoundly disturbing deterioration,” as Freedom House put it, has continued, and not only in countries with fragile democratic institutions. The most recent survey found that “in 2016 it was established democracies—countries rated Free in the report’s ranking system—that dominated the list of countries suffering setbacks.” The report’s authors went on glumly to note that the US election of 2016 “raised fears of a foreign policy divorced from America’s traditional strategic commitments to democracy, human rights, and the rules-based international order that it helped to construct beginning in 1945.” And if this were not enough, they pointed to a growing “nexus” of mutual support between authoritarian regimes and populist movements in both weak and strong liberal democracies.

It would be somewhat reassuring to think the United States is the “exceptional nation” resisting the tide. But President Donald J. Trump’s casual, sometimes caustic, disdain for democratic norms and his inexplicable coziness with Vladimir Putin and lesser authoritarians have raised concerns in America and abroad, particularly among traditional allies.

Disturbing as the behavior of the forty-fifth president is, honesty compels us to recognize that Trump’s presidency is less the cause of America’s democracy woes than the product of them. Surveys and studies, including The Vanishing Center of American Democracy, published by the Institute for Advanced Studies in Culture last year, reveal a steady decline in Americans’ confidence in their political institutions as well as various other bulwarks of a liberal and civil society. A declining faith in democratic norms has only exacerbated the culture war divisions of the last four decades, divisions that have in turn been intensified by what some call a new class war between “credentialed” elites and (mostly) white lower-income earners who see their fortunes declining. And as many have noted, democratic norms are bound to suffer when there are no shared conceptions of truth or objectivity, and when all products of journalism are dismissed, from one partisan angle or another, as “fake news.”

Is it time to declare the end of the end of history, as we tentatively suggest in the title to this issue’s theme? More fundamentally, is there something deeply flawed in what many people have long believed was the crowning achievement of the Enlightenment: not merely the idea of governments of, for, and by the people but states undergirded by commitments to personal and civil liberties. Are we witnessing the exhaustion of the once-vital liberal tradition that supported our politics, both its progressive and conservative strands, and which made politics a (relatively) civil enterprise, and compromise a desirable outcome of that enterprise?

The contributors to this issue propose widely differing answers to these questions. But all agree that the questions are urgent and the stakes are high, not only for America and other liberal democracies but also for the relatively stable global order that emerged after World War II, an order built on faith in the universal worth of liberal principles….(More)”.

Can a reality TV show discourage corruption?

Curated on Posted on by Stefaan Verhulst

The Economist: “The timing could not have been better. In the same week as two civil servants in Nigeria appeared in court for embezzling funds earmarked for International Anti-Corruption Day, the finalists of “Integrity Idol” were announced. In this reality television show, honest civil servants working in corrupt countries compete for glory, fame and, occasionally, a live chicken. The show is a hit: over 10m people have watched it and more than 400,000 have cast their votes in favour of their Integrity Idols.

“Integrity Idol” started in Nepal in 2014 and has since spread to Pakistan, Mali, Liberia, Nigeria and South Africa. Five finalists, vetted by a panel of judges, are chosen to be interviewed. They explain why they deserve the prize. “I come to work late. My boss could ask ‘Why are you late?’ (…) I say I slept a little longer. Say it the way it is! Face the consequences!” one nominee exhorts.

It is not always easy to find good contestants. The Nigerian nomination period was extended because of the poor quality of entrants. “People were nominating their auntie because she gave them money,” says Odeh Friday, who runs the campaign. Others thought they qualified because they came to work on time. One policeman was surprised by his nomination because, he explained, he was involved in shady contracts. Another nominee resigned after he realised that background checks might dig up old dirt.

“Integrity Idol” claims to steer clear of politics. Elected officials may not be nominated. Nor, in some countries, may people in the army. Even so, the show delivers a punch in the face to crooked politicians and their cronies, sometimes just by its timing: in Liberia last year, it aired while presidential elections were embroiled in fraud investigations.

It is difficult to know what impact the show is having, though the Massachusetts Institute of Technology has begun to measure it. Change may be gradual. Gareth Newham at the Institute of Security Studies in South Africa thinks its greatest contribution will be in changing attitudes. “Too many young people believe that you can only get a job if you belong to the [ruling party]. What has been missing is a focus on the ordinary people who do good work.”…(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)”.

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.

Do-it-yourself science is taking off

Curated on Posted on by Stefaan Verhulst

The Economist: “…Citizen science has been around for ages—professional astronomers, geologists and archaeologists have long had their work supplemented by enthusiastic amateurs—and new cheap instruments can usefully spread the movement’s reach. What is more striking about bGeigie and its like, though, is that citizens and communities can use such instruments to inform decisions on which science would otherwise be silent—or mistrusted. For example, getting hold of a bGeigie led some people planning to move home after Fukushima to decide they were safer staying put.

Ms Liboiron’s research at CLEAR also stresses self-determination. It is subject to “community peer review”: those who have participated in the lab’s scientific work decide whether it is valid and merits publication. In the 1980s fishermen had tried to warn government scientists that stocks were in decline. Their cries were ignored and the sudden collapse of Newfoundland’s cod stocks in 1992 had left 35,000 jobless. The people taking science into their own hands with Ms Liboiron want to make sure that in the future the findings which matter to them get heard.

Swell maps

Issues such as climate change, plastic waste and air pollution become more tangible to those with the tools in their hands to measure them. Those tools, in turn, encourage more people to get involved. Eymund Diegel, a South African urban planner who is also a keen canoeist, has long campaigned for the Gowanus canal, close to his home in Brooklyn, to be cleaned up. Effluent from paint manufacturers, tanneries, chemical plants and more used to flow into the canal with such profligacy that by the early 20th century the Gowanus was said to be jammed solid. The New York mob started using the waterway as a dumping ground for dead bodies. In the early part of this century it was still badly polluted.

In 2009 Mr Diegel contacted Public Lab, an NGO based in New Orleans that helps people investigate environmental concerns. They directed him to what became his most powerful weapon in the fight—a mapping rig consisting of a large helium balloon, 300 metres (1,000 feet) of string and an old digital camera. A camera or smartphone fixed to such a balloon can take more detailed photographs than the satellite imagery used by the likes of Google for its online maps, and Public Lab provides software, called MapKnitter, that can stitch these photos together into surveys.

These data—and community pressure—helped persuade the Environmental Protection Agency (EPA) to make the canal eligible for money from a “superfund” programme which targets some of America’s most contaminated land. Mr Diegel’s photos have revealed a milky plume flowing into the canal from a concealed chemical tank which the EPA’s own surveys had somehow missed. The agency now plans to spend $500m cleaning up the canal….(More)”.

The nation state goes virtual

Curated on Posted on by Stefaan Verhulst

Tom Symons at Nesta’s Predictions for 2018: “As the world changes, people expect their governments and public services to do so too. When it’s easy to play computer games with someone on the other side of the world, or set up a company bank account in five minutes, there is an expectation that paying taxes, applying for services or voting should be too…..

To add to this, large political upheavals such as Brexit and the election of Donald Trump have left some people feeling alienated from their national identity. Since the the UK voted to leave the EU, demand for Irish passports has increased by 50 per cent, a sign that people feel dissatisfied by the constraints of geographically determined citizenship when they can no longer relate to their national identity.

In response, some governments see these changes as an opportunity to reconceptualise what we mean by a nation state.

The e-Residency offer

The primary actor in this disruption is Estonia, which leads the world in digital government. In 2015 they introduced an e-Residency, allowing anyone anywhere in the world to receive a government-issued digital identity. The e-Residency gives people access to digital public services and the ability to register and run online businesses from the country, in exactly the same way as someone born in Estonia. As of November 2017, over 27,000 people have applied to be Estonian e-Residents, and they have established over 4,200 companies. Estonia aims to have ten million virtual residents by 2025….

While Estonia is a sovereign nation using technology to redefine itself, there are movements taking advantage of decentralising technologies in a bid to do away with the nation state altogether. Bitnation is a blockchain-based technology which enables people to create and join virtual nations. This allows people to agree their own social contracts between one another, using smart contract technology, removing the need for governments as an administrator or mediator. Since it began in 2014, it has been offering traditional government services, such as notaries, dispute resolution, marriages and voting systems, without the need for a middleman.

As of November 2017, there are over 10,000 Bitnation citizens. …

As citizens, we may be able to educate our children in Finland, access healthcare from South Korea and run our businesses in New Zealand, all without having to leave the comfort of our homes. Governments may see this as means of financial sustainability in the longer term, generating income by selling such services to a global population instead of centralised taxation systems levied on a geographic population.

Such a model has been described as ‘nation-as-a-service’, and could mean countries offering different tiers of citizenship, with taxes based on the number of services used, or tier of citizenship chosen. This could also mean multiple citizenships, including of city-states, as well as nations….

This is the moment for governments to start taking the full implications of the digital age seriously. From electronic IDs and data management through to seamless access to services, citizens will only demand better digital services. Countries such as Azerbaijan, are already developing their own versions of the e-Residency. Large internet platforms such as Amazon are gearing up to replace entire government functions. If governments don’t grasp the nettle, they may find themselves left behind by technology and other countries which won’t wait around for them….(More)”.

There’s more to evidence-based policies than data: why it matters for healthcare

Curated on Posted on by Stefaan Verhulst

 at The Conversation: “The big question is: how can countries strengthen their health systems to deliver accessible, affordable and equitable care when they are often under-financed and governed in complex ways?

One answer lies in governments developing policies and programmes that are informed by evidence of what works or doesn’t. This should include what we would call “traditional data”, but should also include a broader definition of evidence. This would mean including, for example, information from citizens and stakeholders as well as programme evaluations. In this way, policies can be made more relevant for the people they affect.

Globally there is an increasing appreciation for this sort of policymaking that relies of a broader definition of evidence. Countries such as South Africa, Ghana and Thailand provide good examples.

What is evidence?

Using evidence to inform the development of health care has grown out of the use of science to choose the best decisions. It is based on data being collected in a methodical way. This approach is useful but it can’t always be neatly applied to policymaking. There are several reasons for this.

The first is that there are many different types of evidence. Evidence is more than data, even though the terms are often used to mean the same thing. For example, there is statistical and administrative data, research evidence, citizen and stakeholder information as well as programme evaluations.

The challenge is that some of these are valued more than others. More often than not, statistical data is more valued in policymaking. But both researchers and policymakers must acknowledge that for policies to be sound and comprehensive, different phases of policymaking process would require different types of evidence.

Secondly, data-as-evidence is only one input into policymaking. Policymakers face a long list of pressures they must respond to, including time, resources, political obligations and unplanned events.

Researchers may push technically excellent solutions designed in research environments. But policymakers may have other priorities in mind: are the solutions being put to them practical and affordable?Policymakers also face the limitations of having to balance various constituents while straddling the constraints of the bureaucracies they work in.

Researchers must recognise that policymakers themselves are a source of evidence of what works or doesn’t. They are able to draw on their own experiences, those of their constituents, history and their contextual knowledge of the terrain.

What this boils down to is that for policies that are based on evidence to be effective, fewer ‘push/pull’ models of evidence need to be used. Instead the models where evidence is jointly fashioned should be employed.

This means that policymakers, researchers and other key actors (like health managers or communities) must come together as soon as a problem is identified. They must first understand each other’s ideas of evidence and come to a joint conclusion of what evidence would be appropriate for the solution.

In South Africa, for example, the Department of Environmental Affairshas developed a four-phase process to policymaking. In the first phase, researchers and policymakers come together to set the agenda and agree on the needed solution. Their joint decision is then reviewed before research is undertaken and interpreted together….(More)”.