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Tom Johnson

Investigative Dashboard - Resources | Resources for investigators - 0 views

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    The Investigative Dashboard (ID) is a work in progress, that is designed to showcase the potential for collaboration and data-sharing between investigative reporters across the world. The initiative is spearheaded by the Organized Crime and Corruption Reporting Project, the Romanian Center for Investigative Journalism, the Forum for African Investigative Reporters and the International Center for Journalists, and will expand to include other institutional members of the Global Investigative Journalism Network. The project is coordinated by Paul Cristian Radu (of OCCRP and CRJI) and Justin Arenstein (of FAIR) and was developed while both were in residence at Stanford University as Knight fellows. The John S. Knight Fellowships for Professional Journalists made possible the ID by providing access to the know-how of co-fellow journalists and of experts at Stanford University and in Silicon Valley. This first iteration of the ID website shares detailed methodologies, resources, and links for journalists to track money, shareholders, and company ownership across international borders. It also shares video tutorials, and other tools, to help journalists navigate often rapidly evolving data-sources. Future versions of ID will offer more advanced collaborative workspaces, data-archives, and discounted (or, where possible, free) access to expensive or proprietary research services. But, perhaps most importantly, the ID will campaign for investigative centres across the world to collaborate with each other to improve the depth and impact of their reportage.
Tom Johnson

Shorenstein Center paper argues for collaboration in investigative reporting | Harvard ... - 0 views

  • Shorenstein Center paper argues for collaboration in investigative reporting Thursday, June 2, 2011 Sandy Rowe, former editor of The Oregonian, and Knight Fellow at the Shorenstein Center fall 2010 and spring 2011. Photograph by Martha Stewart Shorenstein Center, Harvard Kennedy School Contact: Janell Simsjanell_sims@harvard.eduhttp://www.hks.harvard.edu/presspol/index.html Media organizations may be able to perform their watchdog roles more effectively working together than apart. That is one conclusion in a new paper, “Partners of Necessity: The Case for Collaboration in Local Investigative Reporting,” authored by Sandy Rowe, former editor of Portland’s The Oregonian. The paper is based on interviews and research that Rowe conducted while serving as a Knight Fellow at the Shorenstein Center on the Press, Politics and Public Policy at Harvard Kennedy School. Rowe’s research examines the theory underpinning collaborative work and shows emerging models of collaboration that can lead to more robust investigative and accountability reporting in local and regional markets. “Growing evidence suggests that collaborations and partnerships between new and established news organizations, universities and foundations may be the overlooked key for investigative journalism to thrive at the local and state levels,” Rowe writes. “These partnerships, variously and often loosely organized, can share responsibility for content creation, generate wider distribution of stories and spread the substantial cost of accountability journalism.” Rowe was editor of The Oregonian from 1993 until January 2010. Under her leadership, the newspaper won five Pulitzer Prizes including the Gold Medal for Public Service. Rowe chairs the Board of Visitors of The Knight Fellowships at Stanford University and is a board member of the Committee to Protect Journalists. From 1984 until April 1993, Rowe was executive editor and vice president of The Virginian-Pilot and The Ledger-Star, Norfolk and Virginia Beach, Virginia. The Virginian-Pilot won the Pulitzer Prize for general news reporting under her leadership. Rowe’s year-long fellowship at the Shorenstein Center was funded by the John S. and James L. Knight Foundation. Read the full paper on the Shorenstein Center’s website.
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    Shorenstein Center paper argues for collaboration in investigative reporting Thursday, June 2, 2011 Sandy Rowe, former editor of The Oregonian, and Knight Fellow at the Shorenstein Center fall 2010 and spring 2011. Photograph by Martha Stewart Shorenstein Center, Harvard Kennedy School Contact: Janell Sims janell_sims@harvard.edu http://www.hks.harvard.edu/presspol/index.html Media organizations may be able to perform their watchdog roles more effectively working together than apart. That is one conclusion in a new paper, "Partners of Necessity: The Case for Collaboration in Local Investigative Reporting," authored by Sandy Rowe, former editor of Portland's The Oregonian. The paper is based on interviews and research that Rowe conducted while serving as a Knight Fellow at the Shorenstein Center on the Press, Politics and Public Policy at Harvard Kennedy School. Rowe's research examines the theory underpinning collaborative work and shows emerging models of collaboration that can lead to more robust investigative and accountability reporting in local and regional markets. "Growing evidence suggests that collaborations and partnerships between new and established news organizations, universities and foundations may be the overlooked key for investigative journalism to thrive at the local and state levels," Rowe writes. "These partnerships, variously and often loosely organized, can share responsibility for content creation, generate wider distribution of stories and spread the substantial cost of accountability journalism." Rowe was editor of The Oregonian from 1993 until January 2010. Under her leadership, the newspaper won five Pulitzer Prizes including the Gold Medal for Public Service. Rowe chairs the Board of Visitors of The Knight Fellowships at Stanford University and is a board member of the Committee to Protect Journalists. From 1984 until April 1993, Rowe was executive editor and vice president of The Virginian-Pi
Tom Johnson

Introduction to Databases - Stanford University - 0 views

  • A bold experiment in distributed education, "Introduction to Databases" will be offered free and online to students worldwide during the fall of 2011. Students will have access to lecture videos, receive regular feedback on progress, and receive answers to questions. When you successfully complete this class, you will also receive a statement of accomplishment. Taught by Professor Jennifer Widom, the curriculum draws from Stanford's popular Introduction to Databases course. A syllabus and more information is available here. Sign up below to receive additional information about participating in the online version when it becomes available.
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    A bold experiment in distributed education, "Introduction to Databases" will be offered free and online to students worldwide during the fall of 2011. Students will have access to lecture videos, receive regular feedback on progress, and receive answers to questions. When you successfully complete this class, you will also receive a statement of accomplishment. Taught by Professor Jennifer Widom, the curriculum draws from Stanford's popular Introduction to Databases course. A syllabus and more information is available here. Sign up below to receive additional information about participating in the online version when it becomes available.
Tom Johnson

Interactive Dynamics for Visual Analysis - - 0 views

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    A taxonomy of tools that support the fluent and flexible use of visualizations Jeffrey Heer, Stanford University Ben Shneiderman, University of Maryland, College Park The increasing scale and availability of digital data provides an extraordinary resource for informing public policy, scientific discovery, business strategy, and even our personal lives. To get the most out of such data, however, users must be able to make sense of it: to pursue questions, uncover patterns of interest, and identify (and potentially correct) errors. In concert with data-management systems and statistical algorithms, analysis requires contextualized human judgments regarding the domain-specific significance of the clusters, trends, and outliers discovered in data.
Tom Johnson

Mining of Massive Datasets - 0 views

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    Mining of Massive Datasets The book has now been published by Cambridge University Press. A hardcopy can be obtained Here. By agreement with the publisher, you can still download it free from this page. Cambridge Press does, however, retain copyright on the work, and we expect that you will acknowledge our authorship if you republish parts or all of it. We are sorry to have to mention this point, but we have evidence that other items we have published on the Web have been appropriated and republished under other names. It is easy to detect such misuse, by the way, as you will learn in Chapter 3. --- Anand Rajaraman (@anand_raj) and Jeff Ullman Downloads Download the Complete Book (340 pages, approximately 2MB) Download chapters of the book: Preface and Table of Contents Chapter 1 Data Mining Chapter 2 Large-Scale File Systems and Map-Reduce Chapter 3 Finding Similar Items Chapter 4 Mining Data Streams Chapter 5 Link Analysis Chapter 6 Frequent Itemsets Chapter 7 Clustering Chapter 8 Advertising on the Web Chapter 9 Recommendation Systems Index
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