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Full-Text Articles in Law
Regulation Room: Getting "More, Better" Civic Participation In Complex Government Policymaking, Cynthia R. Farina, Dmitry Epstein, Josiah Heidt, Mary J. Newhart
Regulation Room: Getting "More, Better" Civic Participation In Complex Government Policymaking, Cynthia R. Farina, Dmitry Epstein, Josiah Heidt, Mary J. Newhart
Cynthia R. Farina
Purpose – Rulemaking (the process agencies use to make new health, safety, social and economic regulations) is one of the US Government’s most important policymaking methods and has long been a target for e-government efforts. Although broad transparency and participation rights are part of its legal structure, significant barriers prevent effective engagement by many citizens. The paper aims to discuss these issues. Design/methodology/approach – RegulationRoom.org is an online experimental e-participation platform, designed and operated by Cornell e-rulemaking Initiative (CeRI), the cross-disciplinary CeRI. Using the Regulation Roomas a case study, this paper addresseswhat capacities are required for effective civic engagement and …
An Erulemaking Corpus: Identifying Substantive Issues In Public Comments, Claire Cardie, Cynthia R. Farina, Matt Rawding, Adil Aijaz
An Erulemaking Corpus: Identifying Substantive Issues In Public Comments, Claire Cardie, Cynthia R. Farina, Matt Rawding, Adil Aijaz
Cynthia R. Farina
We describe the creation of a corpus that supports a real-world hierarchical text categorization task in the domain of electronic rulemaking (eRulemaking). Features of the task and of the eRulemaking domain engender both a non-traditional text categorization corpus and a correspondingly difficult machine learning task. Interannotator agreement results are presented for a group of six annotators. We also briefly describe the results of experiments that apply standard and hierarchical text categorization techniques to the eRulemaking data sets. The corpus is the first in a series of related sentence-level text categorization corpora to be developed in the eRulemaking domain.
Balancing Inclusion And “Enlightened Understanding” In Designing Online Civic Participation Systems: Experiences From Regulation Room, Cynthia R. Farina, Mary J. Newhart, Josiah Heidt, Jackeline Solivan
Balancing Inclusion And “Enlightened Understanding” In Designing Online Civic Participation Systems: Experiences From Regulation Room, Cynthia R. Farina, Mary J. Newhart, Josiah Heidt, Jackeline Solivan
Cynthia R. Farina
New forms of online citizen participation in government decision making have been fostered in the United States (U.S.) under the Obama Administration. Use of Web information technologies have been encouraged in an effort to create more back-and-forth communication between citizens and their government. These “Civic Participation 2.0” attempts to open the government up to broader public participation are based on three pillars of open government—transparency, participation, and collaboration. Thus far, the Administration has modeled Civic Participation 2.0 almost exclusively on the Web 2.0 ethos, in which users are enabled to shape the discussion and encouraged to assess the value of …
Regulation Room: How The Internet Improves Public Participation In Rulemaking, Jackeline Solivan, Cynthia R. Farina
Regulation Room: How The Internet Improves Public Participation In Rulemaking, Jackeline Solivan, Cynthia R. Farina
Cynthia R. Farina
Cornell eRulemaking Initiative (CeRI) designed and operated Regulation Room, a pilot project that provides an online environment for people and groups to learn about, discuss, and react to selected proposed federal rules. The project is a unique collaboration between CeRI academic researchers and the government. The U.S. Department of Transportation (USDOT) was CeRI's first agency partner and chose Regulation Room as its first open government "flagship initiative." USDOT received a White House Open Government Leading Practices Award for its collaboration in the project. CeRI owns, designs, operates, and controls Regulation Room, but works closely with partner agencies to identify suitable …
Facilitating Issue Categorization & Analysis In Rulemaking, Thomas R. Bruce, Claire Cardie, Cynthia R. Farina, Stephen Purpura
Facilitating Issue Categorization & Analysis In Rulemaking, Thomas R. Bruce, Claire Cardie, Cynthia R. Farina, Stephen Purpura
Cynthia R. Farina
One task common to all notice-and-comment rulemaking is identifying substantive claims and arguments made in the comments by stakeholders and other members of the public. Extracting and summarizing this material may be helpful to internal decisionmaking; to produce the legally required public explanation of the final rule, it is essential. When comments are lengthy or numerous, natural language processing and machine learning techniques can help the rulewriter work more quickly and comprehensively. Even when a smaller volume of comment material is received, the ability to annotate relevant portions and store information about them in a way that permits retrieval and …
Using Natural Language Processing To Improve Erulemaking [Project Highlight], Claire Cardie, Cynthia R. Farina, Thomas R. Bruce
Using Natural Language Processing To Improve Erulemaking [Project Highlight], Claire Cardie, Cynthia R. Farina, Thomas R. Bruce
Cynthia R. Farina
This paper describes in brief Cornell’s interdisciplinary eRulemaking project that was recently funded (December, 2005) by the National Science Foundation.