Paper presented by A Goncalves, C Silva, P Morreale, J Bonafide at Systems Conference (SysCon), 2014: “With advances in mobile technology, the ability to get real-time geographically accurate data, including photos and videos, becomes integrated into daily activities. Businesses use this technology edge to stay ahead of their competitors. Social media has made photo and video sharing a widely accepted and adopted behavior. This real-time data and information exchange, crowdsourcing, can be used to help first responders and personnel in emergency situations caused by extreme weather such as earthquakes, hurricanes, floods, and snow storms. Using smartphones, civilians can contribute data and images to the recovery process and make it more efficient, which can ultimately save lives and decrease the economic impact caused by extreme weather conditions.”
E-Expertise: Modern Collective Intelligence
Book by Gubanov, D., Korgin, N., Novikov, D., Raikov, A.: “This book focuses on organization and mechanisms of expert decision-making support using modern information and communication technologies, as well as information analysis and collective intelligence technologies (electronic expertise or simply e-expertise).
Chapter 1 (E-Expertise) discusses the role of e-expertise in decision-making processes. The procedures of e-expertise are classified, their benefits and shortcomings are identified, and the efficiency conditions are considered.
Chapter 2 (Expert Technologies and Principles) provides a comprehensive overview of modern expert technologies. A special emphasis is placed on the specifics of e-expertise. Moreover, the authors study the feasibility and reasonability of employing well-known methods and approaches in e-expertise.
Chapter 3 (E-Expertise: Organization and Technologies) describes some examples of up-to-date technologies to perform e-expertise.
Chapter 4 (Trust Networks and Competence Networks) deals with the problems of expert finding and grouping by information and communication technologies.
Chapter 5 (Active Expertise) treats the problem of expertise stability against any strategic manipulation by experts or coordinators pursuing individual goals.
The book addresses a wide range of readers interested in management, decision-making and expert activity in political, economic, social and industrial spheres.”
Crowdsourcing platform for museums
Thesis by Kræn Vesterberg Hansen: “This thesis addresses a strategic challenge at National Museum of Denmark to engage with external people, interested in contributing information about their collection of more than half a million coins and medals. This approach of getting outsiders to help with the completion of many small tasks are popularly known as crowdsourcing. This entails a need for the transcription of handwritten protocols, establishment of references between of entries in protocols and photographs of coins. These coins also references both structured and non-structured metadata.
Does a digital platformfor crowd engagement, in the museum’s context, exist? And how is such a platform integrated with the existing infrastructure of the museum? The report considers the MediaWiki, Amazon’s Mechanical Turk and Zooniverse’s Scribe transcription interface, and finds that the MediaWiki fits approximately 70% of the requirements.
Existing cases of successful crowdsourcing projects, national as well international is mentioned and the solution builds upon APIs of existing infrastructure components (such as the existing collection management system GenReg Mønt and the Canto Cumulus digital asset management system) in a modular and reusable architecture.
The report approaches the challenge in a three part process, greatly inspired by the software process model of “Reuse-oriented software engineering” proposed by Professor of Software engineering at the University of St Andrews, Ian Summerville.”
The Weird, Wild World of Citizen Science Is Already Here
David Lang in Wired: “Up and down the west coast of North America, countless numbers of starfish are dying. The affliction, known as Sea Star Wasting Syndrome, is already being called the biggest die-off of sea stars in recorded history, and we’re still in the dark as to what’s causing it or what it means. It remains an unsolved scientific mystery. The situation is also shaping up as a case study of an unsung scientific opportunity: the rise of citizen science and exploration.
The sea star condition was first noticed by Laura James, a diver and underwater videographer based in Seattle. As they began washing up on the shore near her home with lesions and missing limbs, she became concerned and notified scientists. Similar sightings started cropping up all along the West Coast, with gruesome descriptions of sea stars that were disintegrating in a matter of days, and populations that had been decimated. As scientists race to understand what’s happening, they’ve enlisted the help of amateurs like James, to move faster. Pete Raimondi’s lab at UC Santa Cruz has created the Sea Star Wasting Map, the baseline for monitoring the issue, to capture the diverse set of contributors and collaborators.
The map is one of many new models of citizen-powered science–a blend of amateurs and professionals, looking and learning together–that are beginning to emerge. Just this week, NASA endorsed a group of amateur astronomers to attempt to rescue a vintage U.S. spacecraft. NASA doesn’t have the money to do it, and this passionate group of citizen scientists can handle it.
Unfortunately, the term “citizen science” is terrible. It’s vague enough to be confusing, yet specific enough to seem exclusive. It’s too bad, too, because the idea of citizen science is thrilling. I love the notion that I can participate in the expanding pool of human knowledge and understanding, even though the extent of my formal science education is a high school biology class. To me, it seemed a genuine invitation to be curious. A safe haven for beginners. A license to explore.
Not everyone shares my romantic perspective, though. If you ask a university researcher, they’re likely to explain citizen science as a way for the public to contribute data points to larger, professionally run studies, like participating in the galaxy-spotting website Zooniverse or taking part in the annual Christmas Bird Count with the Audubon Society. It’s a model on the scientific fringes; using broad participation to fill the gaps in necessary data.
There’s power in this diffuse definition, though, as long as new interpretations are welcomed and encouraged. By inviting and inspiring people to ask their own questions, citizen science can become much more than a way of measuring bird populations. From the drone-wielding conservationists in South Africa to the makeshift biolabs in Brooklyn, a widening circle of participants are wearing the amateur badge with honor. And all of these groups–the makers, the scientists, the hobbyists–are converging to create a new model for discovery. In other words, the maker movement and the traditional science world are on a collision course.
To understand the intersection, it helps to know where each of those groups is coming from….”
The Golden Record 2.0 Will Crowdsource A Selfie of Human Culture
Helen Thompson in the Smithsonian: “In 1977, the Voyager 1 and 2 spacecraft left our solar system, carrying a “Golden Record”—a gold-plated phonograph record containing analogue images, greetings, and music from Earth. It was meant to be a snapshot of humanity. On the small chance that an alien lifeform encountered Voyager, they could get a sense of who made it.
“This record represents our hope and our determination and our goodwill in a vast and awesome universe,” said Carl Sagan who led the six-member team that created the Golden Record.
No spacecraft has left our solar system since Voyager, but in the next few years, NASA’s New Horizons probe, launched in 2006, will reach Pluto and then pass into the far edges of the solar system and beyond. A new project aims to create a “Golden Record 2.0”. Just like the original record, this new version will represent a sampling of human culture for NASA to transmit to New Horizons just before it soars off into the rest of the universe.
The genesis of the project came from Jon Lomberg, a scientific artist and the designer of the original Golden Record. Over the last year he’s recruited experts in a variety of fields to back the project. To convince NASA of public support, he launched a website and put together a petition, signed by over 10,000 people in 140 countries. When Lomberg presented the idea to NASA earlier this year, the agency was receptive and will be releasing a statement with further details on the project on August 25. In the meantime, he and his colleague Albert Yu-Min Lin, a research scientist at the University of California in San Diego, gave a preview of their plan at Smithsonian’s Future Is Here event in Washington, DC, today.
New Horizons will likely only have a small amount of memory space available for the content, so what should make the cut? Photos of landscapes and animals (including humans), sound bites of great speakers, popular music, or even videos could end up on the digital record. Lin is developing a platform where people will be able to explore and critique the submissions on the site. “We wanted to make this a democratic discussion,” says Lin. “How do we make this not a conversation about cute cats and Justin Beiber?” One can only guess what aliens might make of the Earth’s YouTube video fodder.
What sets this new effort apart from the original is that the content will be crowdsourced. “We thought this time why not let the people of earth speak for themselves,” says Lomberg. “Why not figure out a way to crowd source this message so that people would be able to decide what they wanted to say?” Lomberg has teamed up with Lin, who specializes in crowdsourcing technology, to create a platform where people from all over the world can submit content to be included on the record…”
A New Approach to Research
The map illustrates how ideas build and flow, merge, and then diverge again over time. Diverse paths are taken to arrive at the final ideas in the article. It also shows how metrics we might presume are meaningful—comments on a post, for example—don’t always correlate with actual influence. We felt the approach we were taking to writing the article was different and disruptive. This visualization confirmed that for us, and helped us learn about crowdsourcing ideas, too.”
Free Online Lawmaking Platform for Washington, D.C.
OpenGov Foundation: “At-Large Councilmember David Grosso and The OpenGov Foundation today launched the beta version of MadisonDC, a free online lawmaking tool that empowers citizens to engage directly with their elected officials – and the policymaking process itself – by commenting on, proposing changes to, and debating real D.C. Council legislation. Grosso is the first-ever District elected official to give citizens the opportunity to log on and legislate, putting him at the forefront of a nation-wide movement reinventing local legislatures with technology. Three bills are now open for crowdsourcing on MadisonDC: a plan to fully legalize marijuana, a proposal to make zoning laws more friendly to urban farmers, and legislation to create open primary elections….
MadisonDC is the District of Columbia’s version of the freeMadison software that reinvents government for the Internet Age. Madison 1.0 powered the American people’s successful defense of Internet freedom from Congressional threats. It delivered the first crowdsourced bill in the history of the U.S. Congress. And now, the non-partisan, non-profit OpenGov Foundation has released Madison 2.0, empowering you to participate in your government, efficiently access your elected officials, and hold them accountable.”
The Collective Intelligence Handbook: an open experiment
Michael Bernstein: “Is there really a wisdom of the crowd? How do we get at it and understand it, utilize it, empower it?
You probably have some ideas about this. I certainly do. But I represent just one perspective. What would an economist say? A biologist? A cognitive or social psychologist? An artificial intelligence or human-computer interaction researcher? A communications scholar?
For the last two years, Tom Malone (MIT Sloan) and I (Stanford CS) have worked to bring together all these perspectives into one book. We are nearing completion, and the Collective Intelligence Handbook will be published by the MIT Press later this year. I’m still relatively dumbfounded by the rockstar lineup we have managed to convince to join up.
It’s live.
Today we went live with the authors’ current drafts of the chapters. All the current preprints are here: http://cci.mit.edu/CIchapterlinks.html
And now is when you come in.
But we’re not done. We’d love for you — the crowd — to help us make this book better. We envisioned this as an open process, and we’re excited that all the chapters are now at a point where we’re ready for critique, feedback, and your contributions.
There are two ways you can help:
- Read the current drafts and leave comments inline in the Google Docs to help us make them better.
- Drop suggestions in the separate recommended reading list for each chapter. We (the editors) will be using that material to help us write an introduction to each chapter.
We have one month. The authors’ final chapters are due to us in mid-June. So off we go!”
Here’s what’s in the book:
Chapter 1. Introduction
Thomas W. Malone (MIT) and Michael S. Bernstein (Stanford University)
What is collective intelligence, anyway?
Chapter 2. Human-Computer Interaction and Collective Intelligence
Jeffrey P. Bigham (Carnegie Mellon University), Michael S. Bernstein (Stanford University), and Eytan Adar (University of Michigan)
How computation can help gather groups of people to tackle tough problems together.
Chapter 3. Artificial Intelligence and Collective Intelligence
Daniel S. Weld (University of Washington), Mausam (IIT Delhi), Christopher H. Lin (University of Washington), and Jonathan Bragg (University of Washington)
Mixing machine intelligence with human intelligence could enable a synthesized intelligent actor that brings together the best of both worlds.
Chapter 4. Collective Behavior in Animals: An Ecological Perspective
Deborah M. Gordon (Stanford University)
How do groups of animals work together in distributed ways to solve difficult problems?
Chapter 5. The Wisdom of Crowds vs. the Madness of Mobs
Andrew W. Lo (MIT)
Economics has studied a collectively intelligent forum — the market — for a long time. But are we as smart as we think we are?
Chapter 6. Collective Intelligence in Teams and Organizations
Anita Williams Woolley (Carnegie Mellon University), Ishani Aggarwal (Georgia Tech), Thomas W. Malone (MIT)
How do the interactions between groups of people impact how intelligently that group acts?
Chapter 7. Cognition and Collective Intelligence
Mark Steyvers (University of California, Irvine), Brent Miller (University of California, Irvine)
Understanding the conditions under which people are smart individually can help us predict when they might be smart collectively.
Chapter 8. Peer Production: A Modality of Collective Intelligence
Yochai Benkler (Harvard University), Aaron Shaw (Northwestern University), Benjamin Mako Hill (University of Washington)
What have collective efforts such as Wikipedia taught us about how large groups come together to create knowledge and creative artifacts?
CrowdOut: A mobile crowdsourcing service for road safety in digital cities
New paper by Aubry, Elian: “Nowadays cities invest more in their public services, and particularly digital ones, to improve their resident’s quality of life and attract more people. Thus, new crowdsourcing services appear and they are based on contributions made by mobile users equipped with smartphones. For example, the respect of the traffic code is essential to ensure citizens’ security and welfare in their city. In this paper, we present CrowdOut, a new mobile crowdsourcing service for improving road safety in cities. CrowdOut allows users to report traffic offence they witness in real time and to map them on a city plan. CrowdOut service has been implemented and experiments and demonstrations have been performed in the urban environment of the Grand Nancy, in France. This service allows users appropriating their urban environment with an active participation regarding the collectivity. This service also represents a tool for city administrators to help for decisions and improve their urbanization policy, or to check the impact of their policy in the city environment.”
ShouldWe
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ShouldWe.org is a non-partisan, crowd-sourced, online guide to policy debates and the evidence which informs them. We serve journalists, analysts and advocates by aggregating the most authoritative policy information, from both sides, in one place. Our mission is to improve democratic scrutiny by resourcing journalists and other active citizens to learn more about the causes and consequences of the decisions which affect our lives.
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