Documents.irevues.inist.fr/bitstream/handle/2042/28893/Sur la transdisciplinarité.pdf?sequence=3. Why open access makes no sense. The fundamental argument for providing open access to academic research is that research that is funded by the tax-payer should be available to the tax-payer.
Those who have paid for the research, it is urged, should not have to pay a second time for access to the publication of that research. Proponents of what has come to be called 'open access' claim that this is simply obvious, but in fact this argument mistakes the fundamental nature of academic research, it mistakes nature and process of academic publication, and it mistakes what is involved in providing access to academic research.
I shall limit my claims here to research in the Humanities, but very similar arguments apply to research in the sciences also. The problem is that the two situations are quite different. In the first case, I propose both the research questions and the dataset to which I apply them. But the differences go further than this important question of who sets the agenda. Eprints.rclis.org/5463/1/do_open_access_CRL.pdf. TF-IDF. Un article de Wikipédia, l'encyclopédie libre.
How We Help. PDFMiner. Last Modified: Mon Mar 24 12:02:47 UTC 2014 Python PDF parser and analyzer Homepage Recent Changes PDFMiner API.
Www.cs.rutgers.edu/~mlittman/courses/ml03/iCML03/papers/ramos.pdf. MyScienceWork. Quick Start. Available in other languages: Japanese Tutorial: Download it in PDF.
The tutorial follows the following steps with LesMiserables sample dataset. You can find other network datasets on the wiki. Import file Visualization Layout Ranking (color) Metrics Ranking (size) Layout again Show labels Community-detection Partition Filter Preview Export Save. Choose Dataset(s) — Open Data Handbook. Choosing the dataset(s) you plan to make open is the first step – though remember that the whole process of opening up data is iterative and you can return to this step if you encounter problems later on.
If you already know exactly what dataset(s) you plan to open up you can move straight on to the next section. However, in many cases, especially for large institutions, choosing which datasets to focus on is a challenge.
IBM. The Opportunity in Big Data Analytics and Social Business. Big Data Means Big Potential for Taiwanese Social Enterprise (Op-Ed) By Remi Kanji on 10 Jan 2013 / 0 Comment Robust public health data offers social innovators a myriad of potential opportunities, and Taiwan is sitting on a data goldmine.
Taiwanese health records are digitized, kept on a Java Virtual Machine chip attached to each individual’s health card and updated in a central system. The cards almost look like a credit or debit card, save for the photo and vital statistics. And carrying a Taiwanese health card is a bit like carrying a folder with your medical history: the chip stores individual patient data including information on allergies, medical history, and past test results. It even allows for efficient billing, so that hospitals are quickly reimbursed for their services.
While many in the medical field already consider these health cards cutting edge, the data generated by health cards should be used for more than simply informing government programs. 10 ways big data changes everything. Code For America - Big Data For Public Good. Eric Stowe Joins Do Good Data 2013. ESS: Big Data for Social Good. Big data constitute a huge opportunity.
Never before have researchers had the opportunity to mine such a wealth of information that promises to provide insights about the complex behavior of human societies. While the privacy implications of this data should not be understated, we aim to show that these types of massive datasets can be leveraged to better serve both the billions of people who generate the data, and ultimately the societies in which they live. The Causal Structure of Food Shortage in Uganda How soon in advance can we predict a food shortage? Variables such as market prices, drought, migrations, previous regional production, and seasonal variations all play a role in this classification and causal structure learning model to predict whether a rural inhabitant is likely to encounter difficulty in obtaining food. - G. A Causal Model for Quality of Schooling. The Obama Campaign’s Chief Data Scientist on the Future of Civic Data.
Photo: Courtesy of the University of Chicago Arguably Chicago’s most important and most successful startup in recent years was the Obama campaign and its celebrated data, analytics, and technical staff, which attracted some of the city’s best brains and re-elected a president.
Basically every politico I’ve ever talked to describes campaigns as start-ups: a small group of smart people working impossible hours and trying to remake the industry on the fly. But unlike start-up companies, campaigns have a strict end date, disappearing as quickly as they’re begun, and leaving a group of top talent on the job market. What the Obama campaign’s talent will do has been a topic of speculation. Les Big Data dans tous leurs états. Harnessing big data to address the world’s problems. Jonathan Bays McKinsey & Company Jonathan Bays is a consultant in McKinsey & Company’s Social Sector Office, which helps organizations address societal challenges.
Based in New York, he specializes in philanthropy and economic development, working primarily with grant makers and nonprofits on issues of strategy. Before joining the Social Sector Office in 2005, Bays worked as a policy advisor in the Office of the Prime Minister of Canada. He was previously a consultant in McKinsey’s Toronto office. Bays graduated from the University of Toronto with a BA and MA in history. Steve Davis President & CEO PATH Steve Davis is President and CEO of PATH, an international nonprofit health organization that develops and delivers high-impact, low-cost health solutions. The Takeaway Big data—giant datasets amassed by companies, governments, and others—can be used by social innovators to better understand problems and formulate responses. Fortunately, data saves the situation. Data for Social Good: A Beginners Guide for Nonprofits and Social Ventures.
Data is gaining tremendous prominence in the business world.
Companies are becoming highly data driven in every aspect of their business – from gaining new customers, providing better personalized services, cutting costs, to developing new products. With the visible benefits of increased profits and efficiency, companies are spending more resources than ever to understand, visualize and monetize data. Nexleaf Analytics & New Technology to Measure Impact. DemystData. How can big data be used for social good?
Big Data Means More Than Big Profits - Jim Fruchterman. By Jim Fruchterman | 8:00 AM March 19, 2013 Big Data is all the rage in Silicon Valley. From Facebook to Netflix, companies are tracking and analyzing our searches, our purchases, and just about every other online activity that will give them more insight into who we are and what we want. Crowdmap.