The Food Aid Delivery App


Essay by Trish Bendix: “Between 30 and 40 percent of the US food supply goes to waste each year. The US Environmental Protection Agency estimates that nearly 80 billion pounds of food end up in landfills annually. This figure takes on a greater significance in the context of another food crisis: food insecurity. More than 10 percent of US households are food insecure, and the nonprofit Feeding America reports that this number will increase due to the economic and unemployment consequences of the COVID-19 pandemic.

The food waste crisis is not new. Wasted, a 2012 report from the Natural Resources Defense Council, recorded Americans’ annual food waste at 40 percent. Horrified by the report’s findings, Leah Lizarondo, a food and health advocate who began her career working in consumer-packaged goods and technology, was inspired to find a solution.

“I tried to figure out why this inefficiency was happening—where the failing was in the supply chain,” Lizarondo says. She knew that consumer-facing businesses such as grocery stores and restaurants were the second-biggest culprits of food waste—behind American households. And even though these businesses didn’t intend to waste food, they lacked the logistics, structures, or incentives to redirect the food surplus to people experiencing food insecurity. Furthermore, because most wasted food is perishable, traditional waste methods didn’t work within the food-banking structure.

“It was so cheap to just throw food in a landfill,” Lizarondo comments. “There’s no legislation [in the United States] that prevents us from doing that, unlike other countries.” For example, France banned food waste in 2016, while Norway has stores that sell food past their sell-by dates, and Asian countries like Japan and South Korea have adopted their own regulations, including the latter charging a fee to citizens for each pound of food waste. Currently, California, Connecticut, Massachusetts, Rhode Island, and Vermont are the only US states with legislation enforcing organic waste bans.

In 2016, Lizarondo launched the nonprofit Food Rescue Hero, a technology platform that redirects food waste to the food insecure in cities across America.

Since its launch, Food Rescue Hero has given more than 68 million pounds of food to people in need. Currently, it operates in 12 cities in the United States and Canada, with more than 22,000 drivers volunteering their time….(More)”.

GovTech Case Studies: Solutions that Work


Worldbank: “A series of GovTech case study notes — GovTech Case Studies: Solutions that Work — provides a better understanding of GovTech focus areas by introducing concrete experiences of adopting GovTech solutions, lessons learned and what worked or did not work.

Take a sneak peek at the first set of case studies which explores GovTech solutions implemented in Brazil, Cambodia, Georgia, Lesotho, Myanmar, and Nigeria….

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Read Brazil GovTech Case Study…(More)”.

GovTech Practices in the EU


Report by Kuziemski, M., Mergel, I., Ulrich, P. and Martinez, A.: “To support governments in the EU embracing GovTech, this report provides an overview of the diversity of GovTech programmes and shares lessons learnt for setting up government-run GovTech programmes. While the focus of this report is on national GovTech programmes, its findings and conclusions can be applied to others levels of government as well. The term GovTech refers to the use of emerging technologies and digital products and services by government from start-ups and SMEs – instead of relying on large system integrators. This report presents an overview of how the existing GovTech programmes are set up in different EU member states and introduces practical case studies. This is followed by a discussion of the rationale of governments’ investment in GovTech and the barriers countries have encountered when engaging with the GovTech ecosystem. The report then distils important lessons learned for setting up government-run GovTech programmes. This report is aimed at anyone wanting to understand how governments are already supporting GovTech, and especially public sector managers who are looking for a starting point for establishing or improving a GovTech programme. It is part of two twin reports on GovTech developed by the JRC with support from the ISA² programme…(More)”.

A new data deal: the case of Barcelona


Paper by Fernando Monge, Sarah Barns, Rainer Kattel and Francesca Bria: “Cities today are key sites for the operation of global digital marketplaces. It is at the curbsides and the intersections of cities where global digital platforms gain access to valuable urban data to be used in the delivery of data-driven urban services. Signalling an emerging role for city governments in contributing to regulatory responses to global digital platforms, a number of cities have in recent years tested their capacity to reclaim the urban data that is ‘harvested’ and monetised by digital platforms for improved local governance and participation. Focusing on the City of Barcelona, this paper investigates the conditions that enabled Barcelona to pivot from its strong focus on attracting commercial platforms under the rubric of smart city programs, to becoming one of the leading advocates of a citizen-first data rights and data sovereignty agenda. Through a series of interviews with key participants involved in the design and implementation of Barcelona’s data sovereignty program under Mayor Ada Colau, the paper examines the policy and governance instruments deployed by the city to regain access and control over data and discusses the challenges and tensions it faced during the implementation phases of the program. Finally, the paper presents the main lessons of the Barcelona experience for other cities, including a reflection on the role that cities can play in shaping a global agenda around improved data governance….(More)”.

When Do Informational Interventions Work? Experimental Evidence from New York City High School Choice


Paper by Sarah Cohodes, Sean Corcoran, Jennifer Jennings & Carolyn Sattin-Bajaj: “This paper reports the results of a large, school-level randomized controlled trial evaluating a set of three informational interventions for young people choosing high schools in 473 middle schools, serving over 115,000 8th graders. The interventions differed in their level of customization to the student and their mode of delivery (paper or online); all treated schools received identical materials to scaffold the decision-making process. Every intervention reduced likelihood of application to and enrollment in schools with graduation rates below the city median (75 percent). An important channel is their effect on reducing nonoptimal first choice application strategies. Providing a simplified, middle-school specific list of relatively high graduation rate schools had the largest impacts, causing students to enroll in high schools with 1.5-percentage point higher graduation rates. Providing the same information online, however, did not alter students’ choices or enrollment. This appears to be due to low utilization. Online interventions with individual customization, including a recommendation tool and search engine, induced students to enroll in high schools with 1-percentage point higher graduation rates, but with more variance in impact. Together, these results show that successful informational interventions must generate engagement with the material, and this is possible through multiple channels…(More)”.

Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments


Paper by Joy Hsu, Ramya Ravichandran, Edwin Zhang, and Christine Keung: “There is an increasing need for open data in governments and systems to analyze equity at large scale. Local governments often lack the necessary technical tools to identify and tackle inequities in their communities. Moreover, these tools may not generalize across departments and cities nor be accessible to the public. To this end, we propose a system that facilitates centralized analyses of publicly available government datasets through 1) a US Census-linked API, 2) an equity analysis playbook, and 3) an open data standard to regulate data intake and support equitable policymaking….(More)”.

Design for Social Innovation: Case Studies from Around the World


Book edited By Mariana Amatullo, Bryan Boyer, Jennifer May and Andrew Shea: “The United Nations, Australia Post, and governments in the UK, Finland, Taiwan, France, Brazil, and Israel are just a few of the organizations and groups utilizing design to drive social change. Grounded by a global survey in sectors as diverse as public health, urban planning, economic development, education, humanitarian response, cultural heritage, and civil rights, Design for Social Innovation captures these stories and more through 45 richly illustrated case studies from six continents.

From advocating to understanding and everything in between, these cases demonstrate how designers shape new products, services, and systems while transforming organizations and supporting individual growth.

How is this work similar or different around the world? How are designers building sustainable business practices with this work? Why are organizations investing in design capabilities? What evidence do we have of impact by design? Leading practitioners and educators, brought together in seven dynamic roundtable discussions, provide context to the case studies.

Design for Social Innovation is a must-have for professionals, organizations, and educators in design, philanthropy, social innovation, and entrepreneurship. This book marks the first attempt to define the contours of a global overview that showcases the cultural, economic, and organizational levers propelling design for social innovation forward today…(More)”

Data for Children Collaborative Designs Responsible Data Solutions for Cross-Sector Services


Impact story by data.org: “That is the question that the Collaborative set out to answer: how do we define and support strong data ethics in a way that ensures it is no longer an afterthought? How do we empower organizations to make it their priority?…

Fassio, Data for Children Collaborative Director Alex Hutchison, and the rest of their five-person team set out to create a roadmap for data responsibility. They started with their own experiences and followed the lifecycle of a non-profit project from conception to communicating results.

The journey begins – for project leaders and for the Collaborative – with an ethical assessment before any research or intervention has been conducted. The assessment calls on project teams to reflect on their motivations and ethical issues at the start, midpoint, and results stages of a project, ensuring that the priority stakeholder remains at the center. Some of the elements are directly tied to data, like data collection, security, and anonymization, but the assessment goes beyond the hard data and into its applications and analysis, including understanding stakeholder landscape and even the appropriate language to use when communicating outputs.

For the Collaborative, that priority is children. But they’ve designed the assessment, which maps across to UNICEF’s Responsible Data for Children (RD4C) toolkit, and other responsible innovation resources to be adaptable for other sectors.

“We wanted to make it really accessible for people with no background in ethics or data. We wanted anyone to be able to approach it,” Fassio said. “Because it is data-focused, there’s actually a very wide application. A lot of the questions we ask are very transferable to other groups.”

The same is true for their youth participation workbook – another resource in the toolkit. The team engaged young people to help co-create the process, staying open to revisions and iterations based on people’s experiences and feedback….(More)”

Morocco finds a new source of policy expertise — its own citizens


Participo: “This spring saw the release of a long-awaited report by the Commission Spéciale sur le modèle de developpement (CSMD), created in 2019 by His Majesty King Mohammed VI….

“Blue ribbon” commissions to tackle thorny issues are nothing new. But the methods employed by Morocco’s CSMD, and the proposals which resulted from them, point the way toward an entirely new approach to governance in the Middle East and North Africa (MENA) region.

Morocco’s new model of development was created through methods of collective intelligence, an emerging science that explores how groups can outperform individuals in learning, decision making, and problem-solving.

It is an ability that has long defined our species, from coordinated bands of hunters on the savannah to the networks of scientists that develop coronavirus vaccines. A complex environment has conditioned humans to pool their knowledge to survive. But collective intelligence doesn’t just happen; for the “wisdom of crowds” to emerge, a group must be organized in the right way, with the right methods and tools….

Beginning in January 2020, the CSMD launched a broad national consultation open to all Moroccan citizens, aimed at harnessing a wide variety of expertise from local communities, government, NGOs, and the private sector.

Its multi-channel approach was designed to reflect four indicators that studies suggest are critical to producing collective intelligence: a diversity of participants and information sources; a critical mass of contributions; a sufficiently rich exchange of information at each “touch point”; and an effective process to synthesize contributions into a coherent whole.

The CSMD created an online platform with opportunities to give quick feedback (“What is one thing you want to change about Morocco?”), as well as more detailed proposals on themes like health care and territorial inequality. A social media campaign reached an estimated 3.2 million citizens, with dozens of “participatory workshops” live-streamed on Facebook and YouTube.

To seek out the knowledge of those least connected to these channels, the CSMD conducted 30 field visits to struggling urban districts, universities, and remote villages in the High Atlas mountains. These field visits featured learning sessions with social innovators and rencontres citoyennes (“citizen encounters”) where groups of 20 to 30 local residents, balanced by age and gender, shared stories and aspirations….(More)”.

The Secret Bias Hidden in Mortgage-Approval Algorithms


An investigation by The Markup: “…has found that lenders in 2019 were more likely to deny home loans to people of color than to White people with similar financial characteristics—even when we controlled for newly available financial factors that the mortgage industry for years has said would explain racial disparities in lending.

Holding 17 different factors steady in a complex statistical analysis of more than two million conventional mortgage applications for home purchases, we found that lenders were 40 percent more likely to turn down Latino applicants for loans, 50 percent more likely to deny Asian/Pacific Islander applicants, and 70 percent more likely to deny Native American applicants than similar White applicants. Lenders were 80 percent more likely to reject Black applicants than similar White applicants. These are national rates.

In every case, the prospective borrowers of color looked almost exactly the same on paper as the White applicants, except for their race.

The industry had criticized previous similar analyses for not including financial factors they said would explain disparities in lending rates but were not public at the time: debts as a percentage of income, how much of the property’s assessed worth the person is asking to borrow, and the applicant’s credit score.

The first two are now public in the Home Mortgage Disclosure Act data. Including these financial data points in our analysis not only failed to eliminate racial disparities in loan denials, it highlighted new, devastating ones.

We found that lenders gave fewer loans to Black applicants than White applicants even when their incomes were high—$100,000 a year or more—and had the same debt ratios. In fact, high-earning Black applicants with less debt were rejected more often than high-earning White applicants who have more debt….(More)”