Why no one is reading your coronavirus emails


Opinion by Todd Rogers: “…As a behavioral scientist, I study how people make decisions and process information, and I develop communications to change behavior for the better. And if there’s one lesson all the coronavirus email writers should take, it’s this: Messages should be as easy to understand as possible. This is difficult in normal times — and is no doubt much more so with facts on the ground changing as rapidly as they are….

As an illustration of how potent simplifying messaging can be, Carly Robinson at Harvard, Jessica Lasky-Fink of the University of California, Berkeley, Hedy Chang of Attendance Works and I conducted an experiment with a large school district, in which we rewrote a state-required notification about attendance.All schools in California are required to send a truancy notification to families after a student is late or absent three times. The state legislature offered recommended language for the notice that was written at a college-reading level and contained 342 words in seven-point font. We rewrote the letter at a 5th grade reading level, in 14-point font and with half as many words. We then randomly assigned 131,312 families to either receive the state-recommended language or a version of our simplified letter.The best version of our simplified letters was an estimated 40% more effective at reducing absences during the subsequent 30 days than the state-recommended language. Writing with an understanding of how humans work turns out to be more effective than writing with the sole goal of complying with the delivery of mandatory written information.So, what can be done to make coronavirus messages, so critical to the functioning of our country right now, easier to understand — and more likely to be read?

  • Write in the most accessible way possible. Use the Flesch-Kincaid readability test (built into Microsoft Word and Google Docs) to test the reading-level complexity of your writing.
  • Use as few words as possible. Shorter messages are more likely to be read (see the long email in your inbox from three months ago that you still have not read).
  • Write in a larger font. This makes long messages look ridiculous and makes it easier to read for recipients with eyesight issues. It also reduces the chance of the accidental — but way too common — occurrence of emails appearing in inboxes with absurdly small font.
  • Eliminate gratuitous borders and images. These can often distract from the message you are trying to send.
  • Use a clear structure. People skim, so help them. As opposed to a multi-paragraph email written in normal prose, consider categorizing information under headings like, “What we want you to know” (or just “KNOW”) and “what we would like you to do” (or, concisely, “DO”). Consider putting content within each category in bullet points….(More)”

Coronavirus: seven ways collective intelligence is tackling the pandemic


Article by Kathy Peach: “Tackling the emergence of a new global pandemic is a complex task. But collective intelligence is now being used around the world by communities and governments to respond.

At its simplest, collective intelligence is the enhanced capacity created when distributed groups of people work together, often with the help of technology, to mobilise more information, ideas and insights to solve a problem.

Advances in digital technologies have transformed what can be achieved through collective intelligence in recent years – connecting more of us, augmenting human intelligence with machine intelligence, and helping us to generate new insights from novel sources of data. It is particularly suited to addressing fast-evolving, complex global problems such as disease outbreaks.

Here are seven ways it is tackling the coronavirus pandemic:

1. Predicting and modelling outbreaks

On the December 31, 2019, health monitoring platform Blue Dot alerted its clients to the outbreak of a flu-like virus in Wuhan, China – nine days before the World Health Organization (WHO) released a statement about it. It then correctly predicted that the virus would jump from Wuhan to Bangkok, Seoul, Taipei and Tokyo.

Blue Dot combines existing data sets to create new insights. Natural language processing, the AI methods that understand and translate human-generated text, and machine learning techniques that learn from large volumes of data, sift through reports of disease outbreaks in animals, news reports in 65 languages, and airline passenger information. It supplements the machine-generated model with human intelligence, drawing on diverse expertise from epidemiologists to veterinarians and ecologists to ensure that its conclusions are valid.

2. Citizen science

The BBC carried out a citizen science project in 2018, which involved members of the public in generating new scientific data about how infections spread. People downloaded an app that monitored their GPS position every hour, and asked them to report who they had encountered or had contact with that day….(More).

Crowdsourcing Geographic Information


Paper by Dieter Pfoser: “The crowdsourcing of geographic information addresses the collection of geospatial data contributed by non-expert users and the aggregation of these data into meaningful geospatial datasets. While crowdsourcing generally implies a coordinated bottom-up
grass-roots effort to contribute information, in the context of geospatial data the term volunteered geographic information (VGI) specifically refers to a dedicated collection effort inviting non-expert users to contribute. A prominent example here is the OpenStreetMap effort focusing on map datasets. Crowdsourcing geospatial data is an evolving research area that covers efforts ranging from mining GPS tracking data to using social media content to profile population dynamics…(More)”.

Partisan responses to democracy promotion – Estimating the causal effect of a civic information portal


Paper by Peter John and Fredrik M. Sjoberg: “Citizens respond to information about democracy according to whether they are electoral winners or losers. This difference occurs both at the national and constituency level. Democratic interventions that seek to promote accountability and transparency might therefore impact citizens differentially depending on the political party that people support. In a placebo-controlled experimental design, carried out in Kenya, we find that democracy promotion boosts the external efficacy and political participation of ruling party partisans, but leaves those from the opposition unaffected. These responses—based on national incumbency—are further conditioned by the partisanship of the MP of the constituency where the voter resides. These findings throw new light on the impact of civic interventions, such as Get Out the Vote (GOTV) and civic education, common in Africa as well as elsewhere, as we show their benefits accrue to the electoral winners rather than to the losers…(More)”.

Civic Engagement Frameworks and Strategic Leadership Practices for Organization Development


Book by Susheel Chhabra: “In recent years, the engagement of stakeholders has become imperative for the overall success of an organization. As the global business landscape continues to evolve, promoting modern leadership techniques and engagement with the community have become two key tactics for organizations to remain competitive in the current market. Understanding and implementing these methodologies is pivotal for professionals and researchers around the globe.

Civic Engagement Frameworks and Strategic Leadership Practices for Organization Development is a critical reference source that provides vital research on the implementation of strategic leadership techniques for promoting civic engagement and sustaining organizational success. While highlighting topics such as social media strategies, analytical tools, and ethical interventions, this book is ideally designed for managers, executives, politicians, researchers, business specialists, government professionals, consultants, academicians, and students seeking current research on the use of civic engagement and strategic leadership initiatives for the overall development of organizations….(More)”.

France asks its citizens how to meet its climate-change targets


The Economist on “An experiment in consultative democracy”: “A nurse, a roofer, an electrician, a former fireman, a lycée pupil, a photographer, a teacher, a marketing manager, an entrepreneur and a civil servant. Sitting on red velvet benches in a domed art-deco amphitheatre in Paris, they and 140 colleagues are part of an unusual democratic experiment in a famously centralised country. Their mission: to draw up measures to reduce French greenhouse-gas emissions by at least 40% by 2030, in line with an eu target that is otherwise in danger of being missed (and which the European Commission now wants to tighten). Six months ago, none of them had met. Now, they have just one month left to show that they can reinvent the French democratic process—and help save the planet. “It’s our moment,” Sylvain, one of the delegates, tells his colleagues from the podium. “We have the chance to propose something historic.”

On March 6th the “citizens’ climate convention” was due to begin its penultimate three-day sitting, the sixth since it began work last October. The convention is made up of a representative sample of the French population, selected by randomly generated telephone numbers. President Emmanuel Macron devised it in an attempt to calm the country after the gilets jaunes (yellow jackets) crisis of 2018. In response to the demand for less top-down decision-making, he first launched what he grandly called a “great national debate”, which took place a year ago. He also pledged the creation of a citizens’ assembly. It is designed to focus on precisely the conundrum that provoked the original protests against a rise in the carbon tax on motor fuel: how to make green policy palatable, efficient and fair.Already signed up?…(More)”.

Reimagining Democracy: Lessons in Deliberative Democracy from the Irish Front Line


Open Access Book: “The Lawrence and Lynne Brown Democracy Medal, presented by the McCourtney Institute for Democracy at Penn State, recognizes outstanding individuals, groups, and organizations that produce innovations to further democracy in the United States or around the world.

2019 Brown Democracy Medal winners David M. Farrell and Jane Suiter are co-leads on the Irish Citizens’ Assembly Project, which has transformed Irish politics over the past decade. The project started in 2011 and led to a series of significant policy decisions, including successful referenda on abortion and marriage equality….(More)”.

How Singapore sends daily Whatsapp updates on coronavirus


Medha Basu at GovInsider: “How do you communicate with citizens as a pandemic stirs fear and spreads false news? Singapore has trialled WhatsApp to give daily updates on the Covid-19 virus.

The World Health Organisation’s chief praised Singapore’s reaction to the outbreak. “We are very impressed with the efforts they are making to find every case, follow up with contacts, and stop transmission,” Tedros Adhanom Ghebreyesus said.

Since late January, the government has been providing two to three daily updates on cases via the messaging app. “Fake news is typically propagated through Whatsapp, so messaging with the same interface can help stem this flow,” Sarah Espaldon, Operations Marketing Manager from Singapore’s Open Government Products unit told GovInsider….

The niche system became newly vital as Covid-19 arrived, with fake news and fear following quickly in a nation that still remembers the fatal SARS outbreak of 2003. The tech had to be upgraded to ensure it could cope with new demand, and get information out rapidly before misinformation could sow discord.

The Open Government Products team used three tools to adapt Whatsapp and create a rapid information sharing system.

1. AI Translation

Singapore has four official languages – Chinese, English, Malay and Tamil. Government used an AI tool to rapidly translate the material from English, so that every community receives the information as quickly as possible.

An algorithm produces the initial draft of the translation, which is then vetted by civil servants before being sent out on WhatsApp. The AI was trained using text from local government communications so is able to translate references and names of Singapore government schemes. This project was built by the Ministry of Communication and Information and Agency for Science, Technology and Research in collaboration with GovTech.

2. Make it easy to sign up

People specify their desired language through an easy sign up form. Singapore used Form.Sg, a tool that allows officials to launch a new mailing list in 30 minutes and connect to other government systems. A government-built form ensures that data is end-to-end encrypted and connected to the government cloud.

3. Fast updates

The updates were initially too slow in reaching people. It took four hours to add new subscribers to the recipient list and the system could send only 10 messages per second. “With 500,000 subscribers, it would take almost 14 hours for the last person to get the message,” Espaldon says….(More)”.

Decide Madrid: A Critical Analysis of an Award-Winning e-Participation Initiative


Paper by Sonia Royo, Vicente Pina and Jaime Garcia-Rayado: “This paper analyzes the award-winning e-participation initiative of the city council of Madrid, Decide Madrid, to identify the critical success factors and the main barriers that are conditioning its performance. An exploratory case study is used as a research technique, including desk research and semi-structured interviews. The analysis distinguishes contextual, organizational and individual level factors; it considers whether the factors or barriers are more related to the information and communication technology (ICT) component, public sector context or democratic participation; it also differentiates among the different stages of the development of the initiative. Results show that individual and organizational factors related to the public sector context and democratic participation are the most relevant success factors.

The high expectations of citizens explain the high levels of participation in the initial stages of Decide Madrid. However, the lack of transparency and poor functioning of some of its participatory activities (organizational factors related to the ICT and democratic dimensions) are negatively affecting its performance. The software created for this platform, Consul, has been adopted or it is in the process of being implemented in more than 100 institutions in 33 countries. Therefore, the findings of this research can potentially be useful to improve the performance and sustainability of e-participation platforms worldwide…(More)”.

Frameworks for Collective Intelligence: A Systematic Literature Review


Paper by Shweta Suran, Vishwajeet Pattanaik, and Dirk Draheim: “Over the last few years, Collective Intelligence (CI) platforms have become a vital resource for learning, problem solving, decision-making, and predictions. This rising interest in the topic has to led to the development of several models and frameworks available in published literature.

Unfortunately, most of these models are built around domain-specific requirements, i.e., they are often based on the intuitions of their domain experts and developers. This has created a gap in our knowledge in the theoretical foundations of CI systems and models, in general. In this article, we attempt to fill this gap by conducting a systematic review of CI models and frameworks, identified from a collection of 9,418 scholarly articles published since 2000. Eventually, we contribute by aggregating the available knowledge from 12 CI models into one novel framework and present a generic model that describes CI systems irrespective of their domains. We add to the previously available CI models by providing a more granular view of how different components of CI systems interact. We evaluate the proposed model by examining it with respect to six popular, ongoing CI initiatives available on the Web….(More)”.