research paper / thesis / dissertation

We Need To Innovate The Science Business Model

Curated on February 24, 2015August 3, 2018 by Stefaan Verhulst

Greg Satell at Forbes: “In 1945, Vannevar Bush, the man that led the nation’s scientific efforts during World War II, delivered a proposal to President Truman for funding scientific research in the post-war world. Titled Science, The Endless Frontier, it led to the formation of the NSF, NIH, DARPA and other agencies….
One assumption inherent in Bush’s proposal was that institutions would be at the center of scientific life. Scientists from disparate labs could read each others papers and meet at an occasional conference, but for the most part, they would be dependent on the network of researchers within their organization and those close by.
Sometimes, the interplay between institutions had major, even historical, impacts, such as John von Neumann’s sponsorship of Alan Turing, but mostly the work you did was largely a function of where you did it. The proximity of Watson, Crick, Rosalind Franklin and Maurice Wilkins, for example, played a major role in the discovery of the structure of DNA.
Yet today, digital technology is changing not only the speed and ease of how we communicate, but the very nature of how we are able to collaborate. When I spoke to Jonathan Adams, Chief Scientist at Digital Science, which develops and invests in software that makes science more efficient, he noted that there is a generational shift underway and said this:

When you talk to people like me, we’re established scientists who are still stuck in the old system of institutions and conferences. But the younger scientists are using technology to access networks and they do so on an ongoing, rather than a punctuated basis. Today, you don’t have to go to a conference or write a paper to exchange ideas.

Evidence would seem to bear this out. The prestigious journal Nature recently noted that the average scientific paper has four times as many authors as it did in the 1950’s, when Bush’s career was at its height. Moreover, it’s become common for co-authors to work at far-flung institutions. Scientific practice needs to adopt to this scientific reality.
There has been some progress in this area. The Internet, in fact, was created for the the explicit purpose of scientific collaboration. Yet still, the way in which scientists report and share their findings remains much the same as a century ago.
Moving From Publications To Platforms For Discovery
One especially ripe area for innovation is publishing. Typically, a researcher with a new discovery waits six months to a year for the peer review process to run its course before the work can be published. Even then, many of the results are questionable at best. Nature recently reported that the overwhelming majority of studies can’t be replicated…(More)”

City Governments Are Using Yelp to Tell You Where Not to Eat

Curated on February 24, 2015November 20, 2018 by Stefaan Verhulst

Michael Luca and Luther Lowe at HBR Blog: “…in recent years consumer-feedback platforms like TripAdvisor, Foursquare, and Chowhound have transformed the restaurant industry (as well as the hospitality industry), becoming important guides for consumers. Yelp has amassed about 67 million reviews in the last decade. So it’s logical to think that these platforms could transform hygiene awareness too — after all, people who contribute to review sites focus on some of the same things inspectors look for.

It turns out that one way user reviews can transform hygiene awareness is by helping health departments better utilize their resources. The deployment of inspectors is usually fairly random, which means time is often wasted on spot checks at clean, rule-abiding restaurants. Social media can help narrow the search for violators.
Within a given city or area, it’s possible to merge the entire history of Yelp reviews and ratings — some of which contain telltale words or phrases such as “dirty” and “made me sick” — with the history of hygiene violations and feed them into an algorithm that can predict the likelihood of finding problems at reviewed restaurants. Thus inspectors can be allocated more efficiently.
In San Francisco, for example, we broke restaurants into the top half and bottom half of hygiene scores. In a recent paper, one of us (Michael Luca, with coauthor Yejin Choi and her graduate students) showed that we could correctly classify more than 80% of restaurants into these two buckets using only Yelp text and ratings. In the next month, we plan to hold a contest on DrivenData to get even better algorithms to help cities out (we are jointly running the contest). Similar algorithms could be applied in any city and in other sorts of prediction tasks.
Another means for transforming hygiene awareness is through the sharing of health-department data with online review sites. The logic is simple: Diners should be informed about violations before they decide on a destination, rather than after.
Over the past two years, we have been working with cities to help them share inspection data with Yelp through an open-data standard that Yelp created in 2012 to encourage officials to put their information in places that are more useful to consumers. In San Francisco, Los Angeles, Raleigh, and Louisville, Kentucky, customers now see hygiene data alongside Yelp reviews. There’s evidence that users are starting to pay attention to this data — click-through rates are similar to those for other features on Yelp ….

And there’s no reason this type of data sharing should be limited to restaurant-inspection reports. Why not disclose data about dentists’ quality and regulatory compliance via Yelp? Why not use data from TripAdvisor to help spot bedbugs? Why not use Twitter to understand what citizens are concerned about, and what cities can do about it? Uses of social media data for policy, and widespread dissemination of official data through social media, have the potential to become important means of public accountability. (More)

Data for good

Curated on February 22, 2015August 3, 2018 by Stefaan Verhulst

NESTA: “This report explores how capturing, sharing and analysing data in new ways can transform how charities work and how social action happens.

Key Findings

Citizens Advice (CAB) and Data Kind partnered to develop the Civic Dashboard. A tool which mines data from CAB consultations to understand emerging social issues in the UK.
Shooting Star Chase volunteers streamlined the referral paths of how children come to be at the hospices saving up to £90,000 for children’s hospices around the country by refining the referral system.
In a study of open grant funding data, NCVO identified 33,000 ‘below the radar organisations’ not currently registered in registers and databases on the third sector
In their social media analysis of tweets related to the Somerset Floods, Demos found that 39,000 tweets were related to social action

New ways of capturing, sharing and analysing data have the potential to transform how community and voluntary sector organisations work and how social action happens. However, while analysing and using data is core to how some of the world’s fastest growing businesses understand their customers and develop new products and services, civil society organisations are still some way off from making the most of this potential.
Over the last 12 months Nesta has grant funded a number of research projects that explore two dimensions of how big and open data can be used for the common good. Firstly, how it can be used by charities to develop better products and services and secondly, how it can help those interested in civil society better understand social action and civil society activity.

Citizens Advice Bureau (CAB) and Datakind, a global community of data scientists interested in how data can be used for a social purpose, were grant funded to explore how a datadriven approach to mining the rich data that CAB holds on social issues in the UK could be used to develop a real–time dashboard to identify emerging social issues. The project also explored how data–driven methods could better help other charities such as St Mungo’s and Buttle UK, and how data could be shared more effectively between charities as part of this process, to create collaborative data–driven projects.
Five organisations (The RSA, Cardiff University, The Demos Centre for Analysis of Social Media, NCVO and European Alternatives) were grant funded to explore how data–driven methods, such as open data analysis and social media analysis, can help us understand informal social action, often referred to as ‘below the radar activity’ in new ways.

This paper is not the definitive story of the opportunities in using big and open data for the common good, but it can hopefully provide insight on what can be done and lessons for others interested in exploring the opportunities in these methods….(More).”

'From Atoms to Bits': A Visual History of American Ideas

Curated on February 19, 2015October 30, 2018 by Stefaan Verhulst

Derek Thompson in The Atlantic: “A new paper employs a simple technique—counting words in patent texts—to trace the history of American invention, from chemistry to computers….in a new paper, Mikko Packalen at the University of Waterloo and Jay Bhattacharya of Stanford University, devised a brilliant way to address this question empirically. In short, they counted words in patent texts.

In a series of papers studying the history of American innovation, Packalen and Bhattacharya indexed every one-word, two-word, and three-word phrase that appeared in more than 4 million patent texts in the last 175 years. To focus their search on truly new concepts, they recorded the year those phrases first appeared in a patent. Finally, they ranked each concept’s popularity based on how many times it reappeared in later patents. Essentially, they trawled the billion-word literature of patents to document the birth-year and the lifespan of American concepts, from “plastic” to “world wide web” and “instant messaging.”

Here are the 20 most popular sequences of words in each decade from the 1840s to the 2000s. You can see polymerase chain reactions in the middle of the 1980s stack. Since the timeline, as it appears in the paper, is too wide to be visible on this article page, I’ve chopped it up and inserted the color code both above and below the timeline….

Another theme of Packalen and Bhattacharya’s research is that innovation has become more collaborative. Indeed, computers have not only taken over the world of inventions, but also they have changed the geography of innovation, Bhattacharya said. Larger cities have historically held an innovative advantage, because (the theory goes) their density of smarties speeds up debate on the merits of new ideas, which are often born raw and poorly understood. But the researchers found that in the last few decades, larger cities are no more likely to produce new ideas in patents than smaller cities that can just as easily connect online with their co-authors. “Perhaps due to the Internet, the advantage of larger cities appears to be eroding,” Packalen wrote in an email….(More)”

Ad hoc encounters with big data: Engaging citizens in conversations around tabletops

Curated on February 19, 2015August 3, 2018 by Stefaan Verhulst

Morten Fjeld, Paweł Woźniak, Josh Cowls, Bonnie Nardi at FirstMonday: “The increasing abundance of data creates new opportunities for communities of interest and communities of practice. We believe that interactive tabletops will allow users to explore data in familiar places such as living rooms, cafés, and public spaces. We propose informal, mobile possibilities for future generations of flexible and portable tabletops. In this paper, we build upon current advances in sensing and in organic user interfaces to propose how tabletops in the future could encourage collaboration and engage users in socially relevant data-oriented activities. Our work focuses on the socio-technical challenges of future democratic deliberation. As part of our vision, we suggest switching from fixed to mobile tabletops and provide two examples of hypothetical interface types: TableTiles and Moldable Displays. We consider how tabletops could foster future civic communities, expanding modes of participation originating in the Greek Agora and in European notions of cafés as locales of political deliberation….(More)”

Fifty Shades of Manipulation

Curated on February 19, 2015August 3, 2018 by Stefaan Verhulst

New paper by Cass Sunstein: “A statement or action can be said to be manipulative if it does not sufficiently engage or appeal to people’s capacity for reflective and deliberative choice. One problem with manipulation, thus understood, is that it fails to respect people’s autonomy and is an affront to their dignity. Another problem is that if they are products of manipulation, people’s choices might fail to promote their own welfare, and might instead promote the welfare of the manipulator. To that extent, the central objection to manipulation is rooted in a version of Mill’s Harm Principle: People know what is in their best interests and should have a (manipulation-free) opportunity to make that decision. On welfarist grounds, the norm against manipulation can be seen as a kind of heuristic, one that generally works well, but that can also lead to serious errors, at least when the manipulator is both informed and genuinely interested in the welfare of the chooser.
For the legal system, a pervasive puzzle is why manipulation is rarely policed. The simplest answer is that manipulation has so many shades, and in a social order that values free markets and is committed to freedom of expression, it is exceptionally difficult to regulate manipulation as such. But as the manipulator’s motives become more self-interested or venal, and as efforts to bypass people’s deliberative capacities becomes more successful, the ethical objections to manipulation become very forceful, and the argument for a legal response is fortified. The analysis of manipulation bears on emerging first amendment issues raised by compelled speech, especially in the context of graphic health warnings. Importantly, it can also help orient the regulation of financial products, where manipulation of consumer choices is an evident but rarely explicit concern….(More)”.

Medical Wikis Dedicated to Clinical Practice: A Systematic Review

Curated on February 19, 2015August 3, 2018 by Stefaan Verhulst

New paper by Alexandre Brulet et al: “Wikis may give clinician communities the opportunity to build knowledge relevant to their practice. The only previous study reviewing a set of health-related wikis, without specification of purpose or audience, globally showed a poor reliability…. Our aim was to review medical wiki websites dedicated to clinical practices…..Among 25 wikis included, 11 aimed at building an encyclopedia, five a textbook, three lessons, two oncology protocols, one a single article, and three at reporting clinical cases. Sixteen wikis were specialized with specific themes or disciplines. Fifteen wikis were using MediaWiki software as-is, three were hosted by online wiki farms, and seven were purpose-built. Except for one MediaWiki-based site, only purpose-built platforms managed detailed user disclosures. ….The 25 medical wikis we studied present various limitations in their format, management, and collaborative features. Professional medical wikis may be improved by using clinical cases, developing more detailed transparency and editorial policies, and involving postgraduate and continuing medical education learners….(More)”

Crowdsourcing Dilemma

Curated on February 19, 2015August 3, 2018 by Stefaan Verhulst

New paper by Victor Naroditskiy, Nicholas R. Jennings, Pascal Van Hentenryck, Manuel Cebrian: “Crowdsourcing offers unprecedented potential for solving tasks efficiently by tapping into the skills of large groups of people. A salient feature of crowdsourcing—its openness of entry—makes it vulnerable to malicious behavior. Such behavior took place in a number of recent popular crowdsourcing competitions. We provide game-theoretic analysis of a fundamental tradeoff between the potential for increased productivity and the possibility of being set back by malicious behavior. Our results show that in crowdsourcing competitions malicious behavior is the norm, not the anomaly—a result contrary to the conventional wisdom in the area. Counterintuitively, making the attacks more costly does not deter them but leads to a less desirable outcome. These findings have cautionary implications for the design of crowdsourcing competitions…(More)”

The Internet’s hidden science factory

Curated on February 18, 2015August 3, 2018 by Stefaan Verhulst

Jenny Marder at PBS Newshour: “….Marshall is a worker for Amazon’s Mechanical Turk, an online job forum where “requesters” post jobs, and an army of crowdsourced workers complete them, earning fantastically small fees for each task. The work has been called microlabor, and the jobs, known as Human Intelligence Tasks, or HITs, range wildly. Some are tedious: transcribing interviews or cropping photos. Some are funny: prank calling someone’s buddy (that’s worth $1) or writing the title to a pornographic movie based on a collection of dirty screen grabs (6 cents). And others are downright bizarre. One task, for example, asked workers to strap live fish to their chests and upload the photos. That paid $5 — a lot by Mechanical Turk standards….
These aren’t obscure studies that Turkers are feeding. They span dozens of fields of research, including social, cognitive and clinical psychology, economics, political science and medicine. They teach us about human behavior. They deal in subjects like energy conservation, adolescent alcohol use, managing money and developing effective teaching methods.

….In 2010, the researcher Joseph Henrich and his team published a paper showing that an American undergraduate was about 4,000 times more likely than an average American to be the subject of a research study.
But that output pales in comparison to Mechanical Turk workers. The typical “Turker” completes more studies in a week than the typical undergraduate completes in a lifetime. That’s according to research by Rand, who surveyed both groups. Among those he surveyed, he found that the median traditional lab subject had completed 15 total academic studies — an average of one per week. The median Turker, on the other hand, had completed 300 total academic studies — an average of 20 per week….(More)”