The Experts below are selected from a list of 108 Experts worldwide ranked by ideXlab platform

Mihai Cristian Apostolache - One of the best experts on this subject based on the ideXlab platform.

  • the village delegate a local Elected Official with an unclear status
    Social Science Research Network, 2015
    Co-Authors: Mihai Cristian Apostolache
    Abstract:

    The article deals with the legal status of the village delegate which results from a combination of several legal provisions contained in different normative acts. The starting point of the village delegate matter is Article 53 of Law no. 215/2001 on local public administration. These provisions are completed by those in Article 51 paragraphs 5 and 6 of the same Law, as well as the provisions of Article 2 paragraph 1, Article 19 and Article 34 of Law no. 393/2004 on the status of local Elected Officials, and also from Article 37 of the Annex to the Government Ordinance no. 35/2002 approving the framework regulation for the organization and functioning of local councils. According to the legal provisions, the inhabitants of the villages composing a locality who are not represented by a councilor in the local council shall be represented by a village delegate. The village delegate is not a member of the local council, or of any of its specialized committees.

Kelli Marie Archie - One of the best experts on this subject based on the ideXlab platform.

  • Mountain communities and climate change adaptation: barriers to planning and hurdles to implementation in the Southern Rocky Mountain Region of North America
    Mitigation and Adaptation Strategies for Global Change, 2014
    Co-Authors: Kelli Marie Archie
    Abstract:

    Geographic factors make mountain communities around the world vulnerable to the direct effects of climate change, and reliance on recreation and tourism can increase vulnerability to the secondary economic impacts.The goal of this research was to investigate the current state of community adaptation planning in the Southern Rocky Mountain region of North America. Using original survey data this paper discusses the challenges that community and county Officials currently face, the perceived effects of future climate change in this region, and the perceived barriers to adaptation planning and hurdles to adaptation implementation. Results show lack of resources, information and political will are the most commonly reported barriers to adaptation. This paper also examines the connectivity between mountain communities and the surrounding federal public lands. Fifty one percent of respondents report that decisions made on nearby public lands frequently or always affect planning and decision making in their community. Collaborative efforts between these entities are proposed as a way to reduce the resource burden of adaptation planning for both entities. Finally, this paper discusses how attitudes and beliefs about climate change affect responses to questions about adaptation planning. On average, respondents who report higher levels of concern about and belief in climate change and those who are better informed about climate change report higher levels of adaptation planning. Elected Officials in this sample have, on average, lower concern about and belief in climate change than bureaucratic respondents. Thus changes in Elected Official composition or improved leadership on climate change planning by incumbent Officials could facilitate progress on adaptation

Richard Briffault - One of the best experts on this subject based on the ideXlab platform.

  • Elected Official affiliated nonprofits closing the public integrity gap
    Social Science Research Network, 2021
    Co-Authors: Richard Briffault
    Abstract:

    Recent years have witnessed the growing use by Elected Officials, particularly state and local chief executives, of affiliated nonprofit organizations to advance their policy goals. Some of these organizations engage in public advocacy to advance a governor’s or mayor’s legislative program. Others operate more like conventional charities, raising philanthropic support for a range of governmental social welfare programs. Elected Officials fundraise for these organizations, which are often staffed by close associates of those Elected Officials, and the organizations’ public communications frequently feature prominently the name or likeness of their Elected-Official sponsor. As these organizations do not engage in electioneering, they operate outside election law, and as they do not personally enrich their sponsors, they are usually not covered by ethics restrictions. Yet, due to their close connection to Elected Officials, their fundraising raises the same concerns of Official favoritism or the appearance of such favoritism to donors that lie at the heart of public integrity law. This article examines the rise of Elected Official affiliated nonprofits, the public integrity gap revealed by their activities. It presents proposals that would close that gap by requiring transparency and restricting pay to play donations, and considers the constitutional questions that likely would be raised by these proposals, The proliferation of Elected-Official-affiliated groups demonstrates that the connections between the Elected Officials and their supportive committees are real, as are the possibilities for undue influence and its appearance. It is past time to close the public integrity gap. Targeted disclosure requirements and limitations on pay to play donors are constitutionally appropriate mechanisms for doing so.

Swapna S Gokhale - One of the best experts on this subject based on the ideXlab platform.

  • predicting the political polarity of tweets using supervised machine learning
    Computer Software and Applications Conference, 2020
    Co-Authors: Michelle Voong, Keerthana Gunda, Swapna S Gokhale
    Abstract:

    With the advent of social media; politicians, media outlets, and ordinary citizens alike are routinely turning to Twitter to share their thoughts and feelings. Discerning politically biased tweets from neutral ones can assist in determining the propensity of an Elected Official or a media outlet in engaging in political rhetoric. This paper presents a supervised machine learning approach to predict whether a tweet is politically biased or neutral. The approach uses a labeled data set available at Crowdflower, where each tweet is tagged with a partisan/neutral label plus its message type and audience. The approach considers a combination of linguistic features including Term Frequency-Inverse Document Frequency (TF-IDF), bigrams, and trigrams along with metadata features including mentions, retweets, and URLs, as well as the additional labels of message type and audience. It trains both simple and ensemble classifiers and assesses their performance using precision, recall, and F1-score. The results demonstrate that the classifiers can predict the polarity of a tweet accurately when trained on a combination of TF-IDF and metadata features that can be extracted automatically from the tweets, eliminating the need for additional tagging which is manual, cumbersome and error prone.

Julia V Lelikova - One of the best experts on this subject based on the ideXlab platform.