Information to Action: Strengthening EPA Citizen Science Partnerships for Environmental Protection

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Report by the National Advisory Council for Environmental Policy and Technology: “Citizen science is catalyzing collaboration; new data and information brought about by greater public participation in environmental research are helping to drive a new era of environmental protection. As the body of citizen-generated data and information in the public realm continues to grow, EPA must develop a clear strategy to lead change and encourage action beyond the collection of data. EPA should recognize the variety of opportunities that it has to act as a conduit between the public and key partners, including state, territorial, tribal and local governments; nongovernmental organizations; and leading technology groups in the private sector. The Agency should build collaborations with new partners, identify opportunities to integrate equity into all relationships, and ensure that grassroots and community-based organizations are well supported and fairly resourced in funding strategies.

Key recommendations under this theme:

  • Recommendation 1. Catalyze action from citizen science data and information by providing guidance and leveraging collaboration.
  • Recommendation 2. Build inclusive and equitable partnerships by understanding partners’ diverse concerns and needs, including prioritizing better support for grassroots and community-based partnerships in EPA grantfunding strategies.

Increase state, territorial, tribal and local government engagement with citizen science

The Agency should reach out to tribes, states, territories and local governments throughout the country to understand the best practices and strategies for encouraging and incorporating citizen science in environmental protection. For states and territories looking for ways to engage in citizen science, EPA can help design strategies that recognize the community perspectives while building capacity in state and territorial governments. Recognizing the direct Executive Summary Information to Action: Strengthening EPA Citizen Science Partnerships for Environmental Protection connection between EPA and tribes, the Agency should seek tribal input and support tribes in using citizen science for environmental priorities. EPA should help to increase awareness for citizen science and where jurisdictional efforts already exist, assist in making citizen science accessible through local government agencies. EPA should more proactively listen to the voices of local stakeholders and encourage partners to embrace a vision for citizen science to accelerate the achievement of environmental goals. As part of this approach, EPA should find ways to define and communicate the Agency’s role as a resource in helping communities achieve environmental outcomes.

Key recommendations under this theme:

  • Recommendation 3. Provide EPA support and engage states and territories to better integrate citizen science into program goals.
  • Recommendation 4. Build on the unique strengths of EPA-tribal relationships.
  • Recommendation 5. Align EPA citizen science work to the priorities of local governments.

Leverage external organizations for expertise and project level support

Collaborations between communities and other external organizations—including educational institutions, civic organizations, and community-based organizations— are accelerating the growth of citizen science. Because EPA’s direct connection with members of the public often is limited, the Agency could benefit significantly by consulting with key external organizations to leverage citizen science efforts to provide the greatest benefit for the protection of human health and the environment. EPA should look to external organizations as vital connections to communities engaged in collaboratively led scientific investigation to address community-defined questions, referred to as community citizen science. External organizations can help EPA in assessing gaps in community-driven research and help the Agency to design effective support tools and best management practices for facilitating effective environmental citizen science programs….(More)”.

4 reasons why Data Collaboratives are key to addressing migration

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Stefaan Verhulst and Andrew Young at the Migration Data Portal: “If every era poses its dilemmas, then our current decade will surely be defined by questions over the challenges and opportunities of a surge in migration. The issues in addressing migration safely, humanely, and for the benefit of communities of origin and destination are varied and complex, and today’s public policy practices and tools are not adequate. Increasingly, it is clear, we need not only new solutions but also new, more agile, methods for arriving at solutions.

Data are central to meeting these challenges and to enabling public policy innovation in a variety of ways. Yet, for all of data’s potential to address public challenges, the truth remains that most data generated today are in fact collected by the private sector. These data contains tremendous possible insights and avenues for innovation in how we solve public problems. But because of access restrictions, privacy concerns and often limited data science capacity, their vast potential often goes untapped.

Data Collaboratives offer a way around this limitation.

Data Collaboratives: A new form of Public-Private Partnership for a Data Age

Data Collaboratives are an emerging form of partnership, typically between the private and public sectors, but often also involving civil society groups and the education sector. Now in use across various countries and sectors, from health to agriculture to economic development, they allow for the opening and sharing of information held in the private sector, in the process freeing data silos up to serve public ends.

Although still fledgling, we have begun to see instances of Data Collaboratives implemented toward solving specific challenges within the broad and complex refugee and migrant space. As the examples we describe below suggest (which we examine in more detail Stanford Social Innovation Review), the use of such Collaboratives is geographically dispersed and diffuse; there is an urgent need to pull together a cohesive body of knowledge to more systematically analyze what works, and what doesn’t.

This is something we have started to do at the GovLab. We have analyzed a wide variety of Data Collaborative efforts, across geographies and sectors, with a goal of understanding when and how they are most effective.

The benefits of Data Collaboratives in the migration field

As part of our research, we have identified four main value propositions for the use of Data Collaboratives in addressing different elements of the multi-faceted migration issue. …(More)”,

This is your office on AI

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Article by Jeffrey Brown at a Special Issue of the Wilson Quarterly on AI: “The future has arrived and it’s your first day at your new job. You step across the threshold sporting a nervous smile and harboring visions of virtual handshakes and brain-computer interfaces. After all, this is one of those newfangled, modern offices that science-fiction writers have been dreaming up for ages. Then you bump up against something with a thud. No, it’s not one of the ubiquitous glass walls, but the harsh reality of an office that, at first glance, doesn’t appear much different from what you’re accustomed to. Your new colleagues shuffle between meetings clutching phones and laptops. A kitchenette stocked with stale donuts lurks in the background. And, by the way, you were fifteen minutes late because the commute is still hell.

So where is the fabled “office of the future”? After all, many of us have only ever fantasized about the ways in which technology – and especially artificial intelligence – might transform our working lives for the better. In fact, the AI-enabled office will usher in far more than next-generation desk supplies. It’s only over subsequent weeks that you come to appreciate how the office of the future feels, operates, and yes, senses. It also slowly dawns on you that work itself has changed and that what it means to be a worker has undergone a similar retrofit.

With AI already deployed in everything from the fight against ISIS to the hunt for exoplanets and your cat’s Alexa-enabled Friskies order, its application to the office should come as no surprise. As workers pretty much everywhere can attest, today’s office has issues: It can’t intuitively crack a window when your officemate decides to microwave leftover catfish. It seems to willfully disregard your noise, temperature, light, and workflow preferences. And it certainly doesn’t tell its designers – or your manager – what you are really thinking as you plop down in your annoyingly stiff chair to sip your morning cup of mud.

Now, you may be thinking to yourself, “These seem like trivial issues that can be worked out simply by chatting with another human being, so why do we even need AI in my office?” If so, read on. In your lifetime, companies and workers will channel AI to unlock new value – and immense competitive advantage….(More)”.

CrowdLaw Manifesto

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At the Rockefeller Foundation Bellagio Center this spring, assembled participants  met to discuss CrowdLaw, namely how to use technology to improve the quality and effectiveness of law and policymaking through greater public engagement. We put together and signed 12 principles to promote the use of CrowdLaw by local legislatures and national parliaments, calling for legislatures, technologists and the public to participate in creating more open and participatory lawmaking practices. We invite you to sign the Manifesto using the form below.

Draft dated May 29, 2018

  1. To improve public trust in democratic institutions, we must improve how we govern in the 21st century.
  2. CrowdLaw is any law, policy-making or public decision-making that offers a meaningful opportunity for the public to participate in one or multiples stages of decision-making, including but not limited to the processes of problem identification, solution identification, proposal drafting, ratification, implementation or evaluation.
  3. CrowdLaw draws on innovative processes and technologies and encompasses diverse forms of engagement among elected representatives, public officials, and those they represent.
  4. When designed well, CrowdLaw may help governing institutions obtain more relevant facts and knowledge as well as more diverse perspectives, opinions and ideas to inform governing at each stage and may help the public exercise political will.
  5. When designed well, CrowdLaw may help democratic institutions build trust and the public to play a more active role in their communities and strengthen both active citizenship and democratic culture.
  6. When designed well, CrowdLaw may enable engagement that is thoughtful, inclusive, informed but also efficient, manageable and sustainable.
  7. Therefore, governing institutions at every level should experiment and iterate with CrowdLaw initiatives in order to create formal processes for diverse members of society to participate in order to improve the legitimacy of decision-making, strengthen public trust and produce better outcomes.
  8. Governing institutions at every level should encourage research and learning about CrowdLaw and its impact on individuals, on institutions and on society.
  9. The public also has a responsibility to improve our democracy by demanding and creating opportunities to engage and then actively contributing expertise, experience, data and opinions.
  10. Technologists should work collaboratively across disciplines to develop, evaluate and iterate varied, ethical and secure CrowdLaw platforms and tools, keeping in mind that different participation mechanisms will achieve different goals.
  11. Governing institutions at every level should encourage collaboration across organizations and sectors to test what works and share good practices.
  12. Governing institutions at every level should create the legal and regulatory frameworks necessary to promote CrowdLaw and better forms of public engagement and usher in a new era of more open, participatory and effective governing.

The CrowdLaw Manifesto has been signed by the following individuals and organizations:

Individuals

  • Victoria Alsina, Senior Fellow at The GovLab and Faculty Associate at Harvard Kennedy School, Harvard University
  • Marta Poblet Balcell , Associate Professor, RMIT University
  • Robert Bjarnason — President & Co-founder, Citizens Foundation; Better Reykjavik
  • Pablo Collada — Former Executive Director, Fundación Ciudadano Inteligente
  • Mukelani Dimba — Co-chair, Open Government Partnership
  • Hélène Landemore, Associate Professor of Political Science, Yale University
  • Shu-Yang Lin, re:architect & co-founder, PDIS.tw
  • José Luis Martí , Vice-Rector for Innovation and Professor of Legal Philosophy, Pompeu Fabra University
  • Jessica Musila — Executive Director, Mzalendo
  • Sabine Romon — Chief Smart City Officer — General Secretariat, Paris City Council
  • Cristiano Ferri Faría — Director, Hacker Lab, Brazilian House of Representatives
  • Nicola Forster — President and Founder, Swiss Forum on Foreign Policy
  • Raffaele Lillo — Chief Data Officer, Digital Transformation Team, Government of Italy
  • Tarik Nesh-Nash — CEO & Co-founder, GovRight; Ashoka Fellow
  • Beth Simone Noveck, Director, The GovLab and Professor at New York University Tandon School of Engineering
  • Ehud Shapiro , Professor of Computer Science and Biology, Weizmann Institute of Science

Organizations

  • Citizens Foundation, Iceland
  • Fundación Ciudadano Inteligente, Chile
  • International School for Transparency, South Africa
  • Mzalendo, Kenya
  • Smart Cities, Paris City Council, Paris, France
  • Hacker Lab, Brazilian House of Representatives, Brazil
  • Swiss Forum on Foreign Policy, Switzerland
  • Digital Transformation Team, Government of Italy, Italy
  • The Governance Lab, New York, United States
  • GovRight, Morocco
  • ICT4Dev, Morocco

Randomistas: How Radical Researchers Are Changing Our World

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Book by Andrew Leigh: “Experiments have consistently been used in the hard sciences, but in recent decades social scientists have adopted the practice. Randomized trials have been used to design policies to increase educational attainment, lower crime rates, elevate employment rates, and improve living standards among the poor.

This book tells the stories of radical researchers who have used experiments to overturn conventional wisdom. From finding the cure for scurvy to discovering what policies really improve literacy rates, Leigh shows how randomistas have shaped life as we know it. Written in a “Gladwell-esque” style, this book provides a fascinating account of key randomized control trial studies from across the globe and the challenges that randomistas have faced in getting their studies accepted and their findings implemented. In telling these stories, Leigh draws out key lessons learned and shows the most effective way to conduct these trials….(More)”.

Inclusive Innovation in Biohacker Spaces: The Role of Systems and Networks

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Paper by Jeremy de Beer and Vipal Jain in Technology Innovation Management Review: “The biohacking movement is changing who can innovate in biotechnology. Driven by principles of inclusivity and open science, the biohacking movement encourages sharing and transparency of data, ideas, and resources. As a result, innovation is now happening outside of traditional research labs, in unconventional spaces – do-it-yourself (DIY) biology labs known as “biohacker spaces”. Labelled like “maker spaces” (which contain the fabrication, metal/woodworking, additive manufacturing/3D printing, digitization, and related tools that “makers” use to tinker with hardware and software), biohacker spaces are attracting a growing number of entrepreneurs, students, scientists, and members of the public.

A biohacker space is a space where people with an interest in biotechnology gather to tinker with biological materials. These spaces, such as Genspace in New York, Biotown in Ottawa, and La Paillasse in Paris, exist outside of traditional academic and research labs with the aim of democratizing and advancing science by providing shared access to tools and resources (Scheifele & Burkett, 2016).

Biohacker spaces hold great potential for promoting innovation. Numerous innovative projects have emerged from these spaces. For example, biohackers have developed cheaper tools and equipment (Crook, 2011; see also Bancroft, 2016). They are also working to develop low-cost medicines for conditions such as diabetes (Ossolo, 2015). There is a general, often unspoken assumption that the openness of biohacker spaces facilitates greater participation in biotechnology research, and therefore, more inclusive innovation. In this article, we explore that assumption using the inclusive innovation framework developed by Schillo and Robinson (2017).

Inclusive innovation requires that opportunities for participation are broadly available to all and that the benefits of innovation are broadly shared by all (CSLS, 2016). In Schillo and Robinson’s framework, there are four dimensions along which innovation may be inclusive:

  1. The people involved in innovation (who)
  2. The type of innovation activities (what)
  3. The range of outcomes to be captured (why)
  4. The governance mechanism of innovation (how)…(More)”.

Superminds: The Surprising Power of People and Computers Thinking Together

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Book by Thomas W. Malone: “If you’re like most people, you probably believe that humans are the most intelligent animals on our planet. But there’s another kind of entity that can be far smarter: groups of people. In this groundbreaking book, Thomas Malone, the founding director of the MIT Center for Collective Intelligence, shows how groups of people working together in superminds — like hierarchies, markets, democracies, and communities — have been responsible for almost all human achievements in business, government, science, and beyond. And these collectively intelligent human groups are about to get much smarter.

Using dozens of striking examples and case studies, Malone shows how computers can help create more intelligent superminds not just with artificial intelligence, but perhaps even more importantly with hyperconnectivity:  connecting humans to one another at massive scales and in rich new ways. Together, these changes will have far-reaching implications for everything from the way we buy groceries and plan business strategies to how we respond to climate change, and even for democracy itself. By understanding how these collectively intelligent groups work, we can learn how to harness their genius to achieve our human goals….(More)”.

Help NASA create the world’s largest landslide database

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EarthSky: “Landslides cause thousands of deaths and billions of dollars in property damage each year. Surprisingly, very few centralized global landslide databases exist, especially those that are publicly available.

Now NASA scientists are working to fill the gap—and they want your help collecting information. In March 2018, NASA scientist Dalia Kirschbaum and several colleagues launched a citizen science project that will make it possible to report landslides you have witnessed, heard about in the news, or found on an online database. All you need to do is log into the Landslide Reporter portal and report the time, location, and date of the landslide – as well as your source of information. You are also encouraged to submit additional details, such as the size of the landslide and what triggered it. And if you have photos, you can upload them.

Kirschbaum’s team will review each entry and submit credible reports to the Cooperative Open Online Landslide Repository (COOLR) — which they hope will eventually be the largest global online landslide catalog available.

Landslide Reporter is designed to improve the quantity and quality of data in COOLR. Currently, COOLR contains NASA’s Global Landslide Catalog, which includes more than 11,000 reports on landslides, debris flows, and rock avalanches. Since the current catalog is based mainly on information from English-language news reports and journalists tend to cover only large and deadly landslides in densely populated areas, many landslides never make it into the database….(More)”.

Health Citizenship: A New Social Contract To Improve The Clinical Trial Process

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Essay by Cynthia Grossman  and Tanisha Carino: “…We call this new social contract health citizenship, which includes a set of implied rights and responsibilities for all parties.

Three fundamental truths underpin our efforts:

  1. The path to better health and the advancement of science begin and end with engaged patients.
  2. The biomedical research enterprise lives all around us — in clinical trials, the data in our wearables, electronic health records, and data used for payment.
  3. The stakeholders that fuel advancement — clinicians, academia, government, the private sector, and investors — must create a system focused on speeding medical research and ensuring that patients have appropriate access to treatments.

To find tomorrow’s cures, treatments, and prevention measures, every aspect of society needs to get involved. Health citizenship recognizes that the future of innovative research and development depends on both patients and the formal healthcare system stepping up to the plate.

Moving Toward A Culture Of Transparency  

Increasing clinical trials registration and posting of research results are steps in the direction of transparency. Access to information about clinical trials — enrollment criteria, endpoints, locations, and results — is critical to empowering patients, their families, and primary care physicians. Also, transparency has a cascading impact on the cost and speed of scientific discovery, through ensuring validation and reproducibility of results…..

Encouraging Data Sharing

Data is the currency of biomedical research, and now patients are poised to contribute more of it than ever. In fact, many patients who participate in clinical research expect that their data will be shared and want to be partners, not just participants, in how data is used to advance the science and clinical practice that impact their disease or condition.

Engaging more patients in data sharing is only one part of what is needed to advance a data-sharing ecosystem. The National Academies of Science, Engineering, and Medicine (formerly the Institute of Medicine) conducted a consensus study that details the challenges to clinical trial data sharing. Out of that study spun a new data-sharing platform, Vivli, which will publicly launch this year. The New England Journal of Medicine took an important step toward demonstrating the value of sharing clinical trial data through its SPRINT Data Challenge, where it opened up a data set and supported projects that sought to derive new insights from the existing data. Examples like these will go a long way toward demonstrating the value of data sharing to advancing science, academic careers, and, most importantly, patient health.

As the technology to share clinical trial data improves, it will become less of an impediment than aligning incentives. The academic environment incentivizes researchers through first author and top-tier journal publications, which contribute to investigators holding on to clinical trial data. A recent publication suggests a way to ensure academic credit, through publication credit, for sharing data sets and allows investigators to tag data sets with unique IDs.

While this effort could assist in incentivizing data sharing, we see the value of tagging data sets as a way to rapidly gather examples of the value of data sharing, including what types of data sets are taken up for analysis and what types of analyses or actions are most valuable. This type of information is currently missing, and, without the value proposition, it is difficult to encourage data sharing behavior.

The value of clinical trial data will need to be collectively reexamined through embracing the sharing of data both across clinical trials and combined with other types of data. Similar to the airline and car manufacturing industries sharing data in support of public safety,7 as more evidence is gathered to support the impact of clinical trial data sharing and as the technology is developed to do this safely and securely, the incentives, resources, and equity issues will need to be addressed collectively…(More)”.

Data sharing in PLOS ONE: An analysis of Data Availability Statements

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Lisa M. Federer et al at PLOS One: “A number of publishers and funders, including PLOS, have recently adopted policies requiring researchers to share the data underlying their results and publications. Such policies help increase the reproducibility of the published literature, as well as make a larger body of data available for reuse and re-analysis. In this study, we evaluate the extent to which authors have complied with this policy by analyzing Data Availability Statements from 47,593 papers published in PLOS ONE between March 2014 (when the policy went into effect) and May 2016. Our analysis shows that compliance with the policy has increased, with a significant decline over time in papers that did not include a Data Availability Statement. However, only about 20% of statements indicate that data are deposited in a repository, which the PLOS policy states is the preferred method. More commonly, authors state that their data are in the paper itself or in the supplemental information, though it is unclear whether these data meet the level of sharing required in the PLOS policy. These findings suggest that additional review of Data Availability Statements or more stringent policies may be needed to increase data sharing….(More)”.