Paper by Benjamin H. Detenber: “The city state of Singapore has a long history of social engineering efforts, yet only recently have social scientists and civil servants started to use behavioural insights (BI) to create ‘nudges’ and integrate them into the daily lives of citizens. Colloquially known as a nanny state for its extensive social programmes and sometimes heavy-handed approach to guiding social behaviour, Singapore is often regarded favourably by its neighbours in terms of its cleanliness, efficiency, and productivity. Yet how it manages its populace and the restrictions it imposes on unwanted behaviours are sometimes viewed sceptically by others in Asia and the West. Thus, many in the Singapore Civil Service have come to see nudging as a less coercive way to promote social welfare and well-being. This article reviews some of the latest actions in three areas: finance, health, and the environment. In discussing the range of nudging practices, their effectiveness will be assessed and some of the implications for society and individuals will be addressed. To the extent that Singapore can be considered a bellwether or harbinger, its use of nudges may offer a glimpse of what lies ahead for other countries in the region….(More)”.
Inside India’s booming dark data economy
Snigdha Poonam and Samarath Bansal at the Rest of the World: “…The black market for data, as it exists online in India, resembles those for wholesale vegetables or smuggled goods. Customers are encouraged to buy in bulk, and the variety of what’s on offer is mind-boggling: There are databases about parents, cable customers, pregnant women, pizza eaters, mutual funds investors, and almost any niche group one can imagine. A typical database consists of a spreadsheet with row after row of names and key details: Sheila Gupta, 35, lives in Kolkata, runs a travel agency, and owns a BMW; Irfaan Khan, 52, lives in Greater Noida, and has a son who just applied to engineering college. The databases are usually updated every three months (the older one is, the less it is worth), and if you buy several at the same time, you’ll get a discount. Business is always brisk, and transactions are conducted quickly. No one will ask you for your name, let alone inquire why you want the phone numbers of five million people who have applied for bank loans.
There isn’t a reliable estimate of the size of India’s data economy or of how much money it generates annually. Regarding the former, each broker we spoke to had a different guess: One said only about one or two hundred professionals make up the top tier, another that every big Indian city has at least a thousand people trading data. To find them, potential customers need only look for their ads on social media or run searches with industry keywords and hashtags — “data,” “leads,” “database” — combined with detailed information about the kind of data they want and the city they want it from.
Privacy experts believe that the data-brokering industry has existed since the early days of the internet’s arrival in India. “Databases have been bought and sold in India for at least 15 years now. I remember a case from way back in 2006 of leaked employee data from Naukri.com (one of India’s first online job portals) being sold on CDs,” says Nikhil Pahwa, the editor and publisher of MediaNama, which covers technology policy. By 2009, data brokers were running SMS-marketing companies that offered complementary services: procuring targeted data and sending text messages in bulk. Back then, there was simply less data, “and those who had it could sell it at whatever price,” says Himanshu Bhatt, a data broker who claims to be retired. That is no longer the case: “Today, everyone has every kind of data,” he said.
No broker we contacted would openly discuss their methods of hunting, harvesting, and selling data. But the day-to-day work generally consists of following the trails that people leave during their travels around the internet. Brokers trawl data storage websites armed with a digital fishing net. “I was shocked when I was surfing [cloud-hosted data sites] one day and came across Aadhaar cards,” Bhatt remarked, referring to India’s state-issued biometric ID cards. Images of them were available to download in bulk, alongside completed loan applications and salary sheets.
Again, the legal boundaries here are far from clear. Anybody who has ever filled out a form on a coupon website or requested a refund for a movie ticket has effectively entered their information into a database that can be sold without their consent by the company it belongs to. A neighborhood cell phone store can sell demographic information to a political party for hyperlocal campaigning, and a fintech company can stealthily transfer an individual’s details from an astrology app onto its own server, to gauge that person’s creditworthiness. When somebody shares employment history on LinkedIn or contact details on a public directory, brokers can use basic software such as web scrapers to extract that data.
But why bother hacking into a database when you can buy it outright? More often, “brokers will directly approach a bank employee and tell them, ‘I need the high-end database’,” Bhatt said. And as demand for information increases, so, too, does data vulnerability. A 2019 survey found that 69% of Indian companies haven’t set up reliable data security systems; 44% have experienced at least one breach already. “In the past 12 months, we have seen an increasing trend of Indians’ data [appearing] on the dark web,” says Beenu Arora, the CEO of the global cyberintelligence firm Cyble….(More)”.
A New Normal for Data Collection: Using the Power of Community to Tackle Gender Violence Amid COVID-19
Claudia Wells at SDG Knowledge Hub: “A shocking increase in violence against women and girls has been reported in many countries during the COVID-19 pandemic, amounting to what UN Women calls a “shadow pandemic.”
The jarring facts are:
- Globally 243 million women and girls have been subjected to sexual and/or physical violence by an intimate partner in the past 12 months.
- The UNFPA estimates that the pandemic will cause a one-third reduction in progress towards ending gender-based violence by 2030;
- UNFPA predicts an additional 15 million cases of gender-based violence for every three months of lockdown.
- Official data captures only a fraction of the true prevalence and nature of gender-based violence.
The response to these new challenges were discussed at a meeting in July with a community-led response delivered through local actors highlighted as key. This means that timely, disaggregated, community-level data on the nature and prevalence of gender-based violence has never been more important. Data collected within communities can play a vital role to fill the gaps and ensure that data-informed policies reflect the lived experiences of the most marginalized women and girls.
Community Scorecards: Example from Nepal
Collecting and using community-level data can be challenging, particularly under the restrictions of the pandemic. Working in partnerships is therefore vital if we are to respond quickly and flexibly to new and old challenges.
A great example of this is the Leave No One Behind Partnership, which responds to these challenges while delivering on crucial data and evidence at the community level. This important partnership brings together international civil society organizations with national NGOs, civic platforms and community-based organizations to monitor progress towards the SDGs….
While COVID-19 has highlighted the need for local, community-driven data, public health restrictions have also made it more challenging to collect such data. For example the usual focus group approach to creating a community scorecard is no longer possible.
The coalition in Nepal therefore faces an increased demand for community-driven data while needing to develop a “new normal for data collection.”. Partners must: make data collection more targeted; consider how data on gender-based violence are included in secondary sources; and map online resources and other forms of data collection.
Addressing these new challenges may include using more blended collection approaches such as mobile phones or web-based platforms. However, while these may help to facilitate data collection, they come with increased privacy and safeguarding risks that have to be carefully considered to ensure that participants, particularly women and girls, are not at increased risk of violence or have their privacy and confidentiality exposed….(More)”.
Leveraging Telecom Data to Aid Humanitarian Efforts
Data Collaborative Case Study by Michelle Winowatan, Andrew J. Zahuranec, Andrew Young, and Stefaan Verhulst: “Following the 2015 earthquake in Nepal, Flowminder, a data analytics nonprofit, and NCell, a mobile operator in Nepal, formed a data collaborative. Using call detail records (CDR, a type of mobile operator data) provided by NCell, Flowminder estimated the number of people displaced by the earthquake and their location. The result of the analysis was provided to various humanitarian agencies responding to the crisis in Nepal to make humanitarian aid delivery more efficient and targeted.
Data Collaboratives Model: Based on our typology of data collaborative practice areas, the initiative follows the trusted intermediary model of data collaboration, specifically a third-party analytics approach. Third-party analytics projects involve trusted intermediaries — such as Flowminder — who access private-sector data, conduct targeted analysis, and share insights with public or civil sector partners without sharing the underlying data. This approach enables public interest uses of private-sector data while retaining strict access control. It brings outside data expertise that would likely not be available otherwise using direct bilateral collaboration between data holders and users….(More)”.
Blockchain Chicken Farm: And Other Stories of Tech in China’s Countryside
Book by By Xiaowei R. Wang: “In Blockchain Chicken Farm, the technologist and writer Xiaowei Wang explores the political and social entanglements of technology in rural China. Their discoveries force them to challenge the standard idea that rural culture and people are backward, conservative, and intolerant. Instead, they find that rural China has not only adapted to rapid globalization but has actually innovated the technology we all use today. From pork farmers using AI to produce the perfect pig, to disruptive luxury counterfeits and the political intersections of e-commerce villages, Wang unravels the ties between globalization, technology, agriculture, and commerce in unprecedented fashion. Accompanied by humorous “Sinofuturist” recipes that frame meals as they transform under new technology, Blockchain Chicken Farm is an original and probing look into innovation, connectivity, and collaboration in the digitized rural world.
FSG Originals × Logic dissects the way technology functions in everyday lives. The titans of Silicon Valley, for all their utopian imaginings, never really had our best interests at heart: recent threats to democracy, truth, privacy, and safety, as a result of tech’s reckless pursuit of progress, have shown as much. We present an alternate story, one that delights in capturing technology in all its contradictions and innovation, across borders and socioeconomic divisions, from history through the future, beyond platitudes and PR hype, and past doom and gloom. Our collaboration features four brief but provocative forays into the tech industry’s many worlds, and aspires to incite fresh conversations about technology focused on nuanced and accessible explorations of the emerging tools that reorganize and redefine life today….(More)”.
The Potential of Open Digital Ecosystems
About: “Omidyar Network India (ONI), in partnership with Boston Consulting Group (BCG), has undertaken a study to reimagine digital platforms for the public good, with the aim build a shared narrative around digital platforms and develop a holistic roadmap to foster their systematic adoption.
This study has especially benefited from collaboration with the Ministry of Electronics and Information Technology (MeitY), Government of India. It builds on the thinking presented in the public consultation whitepaper on ‘Strategy for National Open Digital Ecosystems (NODEs)’ published by MeitY in February 2020, to which ONI and BCG have contributed.
This website outlines the key findings of the study and introduces a new paradigm, i.e. ODEs, which recognizes the importance of a strong governance framework as well as the community of stakeholders that make them effective….(More)”.
TraceTogether
Case Notes by Mitchell B. Weiss and Sarah Mehta: “By April 7, 2020, over 1.4 million people worldwide had contracted the novel coronavirus (COVID-19). Governments raced to curb the spread of COVID-19 by scaling up testing, quarantining those infected, and tracing their possible contacts. It had taken Singapore’s Government Technology Agency (GovTech) and Ministry of Health (MOH) all of eight weeks to develop the world’s first nationwide deployment of a Bluetooth-based contact tracing system, TraceTogether, and deploy it in an attempt to slow the spread of COVID-19. From late January to mid-March 2020, GovTech’s Jason Bay and his team raced to create a technology that would supplement the work of Singapore’s human contact tracers. Days after its launch, Singapore’s foreign minister announced plans to open source the technology. Now, in early April, TraceTogether was a beta for the world. Whether the system would really help in Singapore, and whether other countries should adopt it was still a wide-open question….(More)”.
Policies and Strategies to Promote Grassroots Innovation Workbook
UN-ESCAP: “Grassroots innovation is a modality of inclusive innovation that enables extremely affordable, niche-adapted solutions to local problems, often unaided by public sector or outsiders.
In a context of rising income disparity among the have and have-nots, every effort should be made to convert the ideas and innovations of knowledge-rich but economically poor individuals and communities into viable means of raising income, addressing social needs, and conserving the environment. While grassroots innovation are typically bottom-up initiatives, public policies can also support the emergence, recognition and diffusion of grassroots innovations. The journey of developing a grassroots idea or invention into a viable product or service for commercial or social diffusion requires support from many actors at different stages and levels.
The Honey Bee Network has been leading the grassroots innovation movement in India. In the past three decades, it has strengthened the inclusive innovation ecosystem of the country and has become a global benchmark of frugal, friendly and flexible solutions for men and women farmers, pastoral and artisan households, mechanics, forest dwellers, fishermen etc. This workbook draws on the experience of the Honey Bee Network and discusses experiences, issues and strategies that could also be relevant for other countries….(More)”.
Monitoring Corruption: Can Top-down Monitoring Crowd-Out Grassroots Participation?
Paper by Robert M Gonzalez, Matthew Harvey and Foteini Tzachrista: “Empirical evidence on the effectiveness of grassroots monitoring is mixed. This paper proposes a previously unexplored mechanism that may explain this result. We argue that the presence of credible and effective top-down monitoring alternatives can undermine citizen participation in grassroots monitoring efforts. Building on Olken’s (2009) road-building field experiment in Indonesia; we find a large and robust effect of the participation interventions on missing expenditures in villages without an audit in place. However, this effect vanishes as soon as an audit is simultaneously implemented in the village. We find evidence of crowding-out effects: in government audit villages, individuals are less likely to attend, talk, and actively participate in accountability meetings. They are also significantly less likely to voice general problems, corruption-related problems, and to take serious actions to address these problems. Despite policies promoting joint implementation of top-down and bottom-up interventions, this paper shows that top-down monitoring can undermine rather than complement grassroots efforts….(More)”.
The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using crowdsourcing
Paper by Christopher Loynes, Jamal Ouenniche & Johannes De Smedt: “This paper provides the humanitarian community with an automated tool that can detect a disaster using tweets posted on Twitter, alongside a portal to identify local and regional Non-Governmental Organisations (NGOs) that are best-positioned to provide support to people adversely affected by a disaster. The proposed disaster detection tool uses a linear Support Vector Classifier (SVC) to detect man-made and natural disasters, and a density-based spatial clustering of applications with noise (DBSCAN) algorithm to accurately estimate a disaster’s geographic location. This paper provides two original contributions. The first is combining the automated disaster detection tool with the prototype portal for NGO identification. This unique combination could help reduce the time taken to raise awareness of the disaster detected, improve the coordination of aid, increase the amount of aid delivered as a percentage of initial donations and improve aid effectiveness. The second contribution is a general framework that categorises the different approaches that can be adopted for disaster detection. Furthermore, this paper uses responses obtained from an on-the-ground survey with NGOs in the disaster-hit region of Uttar Pradesh, India, to provide actionable insights into how the portal can be developed further…(More)”.