Coronavirus Compels Congress to Modernize Communication Techniques


Congressional Management Foundation: “The Future of Citizen Engagement: Coronavirus, Congress, and Constituent Communications” explores how Members of Congress and their staff engaged with citizens while navigating the constraints posed by COVID-19, and offers examples of how Congress can substantively connect with constituents using modern technology against the backdrop of a global pandemic.

The report addresses the following questions:

  • How did congressional offices adapt their communications strategies to meet the immediate needs of their constituents during the onset of COVID-19?
  • What techniques did Members use to diversify their constituent outreach?
  • What methods of engagement is Congress using now, and likely to use in the future?

The findings are based on a survey of senior congressional staffers, comprising over 120 responses provided to CMF between May 26 and June 19, 2020. Additionally, CMF conducted 13 follow-up interviews with survey respondents who indicated they were willing to speak further about their office operations and constituent communications during COVID-19….(More)”.

Journalists’ guide to COVID data


Guide by RTDNA: “Watch a press conference, turn on a newscast, or overhear just about any phone conversation these days and you’ll hear mayors discussing R values, reporters announcing new fatalities and separated families comparing COVID case rolling averages in their counties. As coronavirus resurges across the country, medical data is no longer just the purview of epidemiologists (though a quick glance at any social media comments section shows an unlikely simultaneous surge in the number of virology experts and statisticians).

Journalists reporting on COVID, however, have a particular obligation to understand the data, to add context and to acknowledge uncertainty when reporting the numbers.

“Journalism requires more than merely reporting remarks, claims or comments. Journalism verifies, provides relevant context, tells the rest of the story and acknowledges the absence of important additional information.” – RTDNA Code of Ethics

This guide to common COVID metrics is designed to help journalists know how each data point is calculated, what it means and, importantly, what it doesn’t mean….(More)”.

Genomic Epidemiology Data Infrastructure Needs for SARS-CoV-2


Report by the National Academies of Sciences, Engineering, and Medicine: “In December 2019, new cases of severe pneumonia were first detected in Wuhan, China, and the cause was determined to be a novel beta coronavirus related to the severe acute respiratory syndrome (SARS) coronavirus that emerged from a bat reservoir in 2002. Within six months, this new virus—SARS coronavirus 2 (SARS-CoV-2)—has spread worldwide, infecting at least 10 million people with an estimated 500,000 deaths. COVID-19, the disease caused by SARS-CoV-2, was declared a public health emergency of international concern on January 30, 2020 by the World Health Organization (WHO) and a pandemic on March 11, 2020. To date, there is no approved effective treatment or vaccine for COVID-19, and it continues to spread in many countries.

Genomic Epidemiology Data Infrastructure Needs for SARS-CoV-2: Modernizing Pandemic Response Strategies lays out a framework to define and describe the data needs for a system to track and correlate viral genome sequences with clinical and epidemiological data. Such a system would help ensure the integration of data on viral evolution with detection, diagnostic, and countermeasure efforts. This report also explores data collection mechanisms to ensure a representative global sample set of all relevant extant sequences and considers challenges and opportunities for coordination across existing domestic, global, and regional data sources….(More)”.

Strengthening Privacy Protections in COVID-19 Mobile Phone–Enhanced Surveillance Programs


Rand Report: “Dozens of countries, including the United States, have been using mobile phone tools and data sources for COVID-19 surveillance activities, such as tracking infections and community spread, identifying populated areas at risk, and enforcing quarantine orders. These tools can augment traditional epidemiological interventions, such as contact tracing with technology-based data collection (e.g., automated signaling and record-keeping on mobile phone apps). As the response progresses, other beneficial technologies could include tools that authenticate those with low risk of contagion or that build community trust as stay-at-home orders are lifted.

However, the potential benefits that COVID-19 mobile phone–enhanced public health (“mobile”) surveillance program tools could provide are also accompanied by potential for harm. There are significant risks to citizens from the collection of sensitive data, including personal health, location, and contact data. People whose personal information is being collected might worry about who will receive the data, how those recipients might use the data, how the data might be shared with other entities, and what measures will be taken to safeguard the data from theft or abuse.

The risk of privacy violations can also impact government accountability and public trust. The possibility that one’s privacy will be violated by government officials or technology companies might dissuade citizens from getting tested for COVID-19, downloading public health–oriented mobile phone apps, or sharing symptom or location data. More broadly, real or perceived privacy violations might discourage citizens from believing government messaging or complying with government orders regarding COVID-19.

As U.S. public health agencies consider COVID-19-related mobile surveillance programs, they will need to address privacy concerns to encourage broad uptake and protect against privacy harms. Otherwise, COVID-19 mobile surveillance programs likely will be ineffective and the data collected unrepresentative of the situation on the ground….(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)”.

Coming Together While Staying Apart : Facilitating Collective Action through Trust and Social Connection in the Age of COVID-19


Worldbank Report: “Facing the COVID-19 pandemic requires an unprecedented degree of cooperation between governments and citizens and across all facets of society to implement spatial distancing and other policy measures. This paper proposes to think about handling the pandemic as a collective action problem that can be alleviated by policies that foster trust and social connection. Policy and institutional recommendations are presented according to a three-layered pandemic response generally corresponding to short-, medium-, and long-term needs. This paper focuses on building connection and cooperation as means to bring about better health and socioeconomic outcomes. Many factors outside the paper’s scope, such as health policy choices, will greatly affect the outcomes. As such, the paper explores the role of trust, communication, and collaboration conditional on sound health and economic policy choices…(More)”.

Nudging in Public Policy


Alice Moseley in the Oxford Research Encyclopedia of Politics: “Nudging” in public policy involves using behavioral, economic, and psychological insights to influence the behavior of policy targets in order to help achieve policy goals. This approach to public policy was advocated by Thaler and Sunstein in their book Nudge in 2008. Nudging is underpinned by a conception that individuals use mental shortcuts (heuristics) in day-to-day decision-making, shortcuts that do not always serve their long-term interests (for instance, in relation to eating and exercise patterns, road safety, or saving for the future). Nudging does not involve seeking to persuade individuals about the merits of pursuing particular courses of action that will better serve their long-term welfare. Rather, it involves altering the choice environment so that when people follow their instincts, using familiar mental shortcuts, the most prominent option available to the policy target will be one that is likely to promote their own welfare, and that of society more widely. Nudging has come to be considered a core part of the policy toolkit in many countries but academic scholarship has also debated the ethical dimensions of nudging, and there is a flourishing research literature on the efficacy, public acceptability, merits, and limitations of this approach within public policy….(More)”.

Creating a digital commons


Report by the IPPR (UK): ” There are, today, almost no parts of life that are untouched by the presence of data. Virtually every action we take produces some form of digital trail – our phones track our locations, our browsers track searches, our social network apps log our friends and family – even when we are only dimly aware of it.

It is the combination of this near-ubiquitous gathering of data with fast processing that has generated the economic and social transformation of the last few years – one that, if current developments in artificial intelligence (AI) continue, is only likely to accelerate. Combined with data-enabled technology, from the internet of things to 3D printing, we are potentially on the cusp of a radically different economy and society.

As the world emerges from the first phase of the pandemic, the demands for a socially just and sustainable recovery have grown. The data economy can and should be an essential part of that reconstruction, from the efficient management of energy systems to providing greater flexibility in working time. However, without effective public policy, and democratic oversight and management, the danger is that the tendencies in the data economy that we have already seen towards monopoly and opacity – reinforced, so far, by the crisis – will continue to dominate. It is essential, then, that planning for a fairer, more sustainable economy in the future build in active public policy for data…

This report focusses closely on data as the fundamental building block of the emerging economy, and argues that its use, management, ownership, and control as critical to shaping the future…(More)”.

20’s the limit: How to encourage speed reductions


Report by The Wales Centre for Public Policy: “This report has been prepared to support the Welsh Government’s plan to introduce a 20mph national default speed limit in 2022. It aims to address two main questions: 1) What specific behavioural interventions might be implemented to promote driver compliance with 20mph speed limits in residential areas; and 2) are there particular demographics, community characteristics or other features that should form the basis of a segmentation approach?

The reasons for speeding are complex, but many behaviour change
techniques have been successfully applied to road safety, including some which use behavioural insights or “nudges”.
Drivers can be segmented into three types: defiers (a small minority),
conformers (the majority) and champions (a minority). Conformers are law abiding citizens who respect social norms – getting this group to comply can achieve a tipping point.
Other sectors have shown that providing information is only effective if part of a wider package of measures and that people are most open to
change at times of disruption or learning (e.g. learner drivers)….(More)”.

Project Patient Voice


Press Release: “The U.S. Food and Drug Administration today launched Project Patient Voice, an initiative of the FDA’s Oncology Center of Excellence (OCE). Through a new website, Project Patient Voice creates a consistent source of publicly available information describing patient-reported symptoms from cancer trials for marketed treatments. While this patient-reported data has historically been analyzed by the FDA during the drug approval process, it is rarely included in product labeling and, therefore, is largely inaccessible to the public.

“Project Patient Voice has been initiated by the Oncology Center of Excellence to give patients and health care professionals unique information on symptomatic side effects to better inform their treatment choices,” said FDA Principal Deputy Commissioner Amy Abernethy, M.D., Ph.D. “The Project Patient Voice pilot is a significant step in advancing a patient-centered approach to oncology drug development. Where patient-reported symptom information is collected rigorously, this information should be readily available to patients.” 

Patient-reported outcome (PRO) data is collected using questionnaires that patients complete during clinical trials. These questionnaires are designed to capture important information about disease- or treatment-related symptoms. This includes how severe or how often a symptom or side effect occurs.

Patient-reported data can provide additional, complementary information for health care professionals to discuss with patients, specifically when discussing the potential side effects of a particular cancer treatment. In contrast to the clinician-reported safety data in product labeling, the data in Project Patient Voice is obtained directly from patients and can show symptoms before treatment starts and at multiple time points while receiving cancer treatment. 

The Project Patient Voice website will include a list of cancer clinical trials that have available patient-reported symptom data. Each trial will include a table of the patient-reported symptoms collected. Each patient-reported symptom can be selected to display a series of bar and pie charts describing the patient-reported symptom at baseline (before treatment starts) and over the first 6 months of treatment. This information provides insights into side effects not currently available in standard FDA safety tables, including existing symptoms before the start of treatment, symptoms over time, and the subset of patients who did not have a particular symptom prior to starting treatment….(More)”.