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  1. Article ; Online: Collective privacy recovery: Data-sharing coordination via decentralized artificial intelligence.

    Pournaras, Evangelos / Ballandies, Mark Christopher / Bennati, Stefano / Chen, Chien-Fei

    PNAS nexus

    2024  Volume 3, Issue 2, Page(s) pgae029

    Abstract: Collective privacy loss becomes a colossal problem, an emergency for personal freedoms and democracy. But, are we prepared to handle personal data as scarce resource and collectively share data under the doctrine: as little as possible, as much as ... ...

    Abstract Collective privacy loss becomes a colossal problem, an emergency for personal freedoms and democracy. But, are we prepared to handle personal data as scarce resource and collectively share data under the doctrine: as little as possible, as much as necessary? We hypothesize a significant privacy recovery if a population of individuals, the data collective, coordinates to share minimum data for running online services with the required quality. Here, we show how to automate and scale-up complex collective arrangements for privacy recovery using decentralized artificial intelligence. For this, we compare for the first time attitudinal, intrinsic, rewarded, and coordinated data sharing in a rigorous living-lab experiment of high realism involving
    Language English
    Publishing date 2024-01-22
    Publishing country England
    Document type Journal Article
    ISSN 2752-6542
    ISSN (online) 2752-6542
    DOI 10.1093/pnasnexus/pgae029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book: Cao ping ying yang yu shi fei

    Huang, Bizhi / Cao Wenbo / Chen, Zuozhong

    (Cao ping quan jing)

    1999  

    Author's details Huang Bizhi, Cao Wenbo, Chen Zuozhong zhu bian
    Series title Cao ping quan jing
    Keywords Turf management. ; Turfgrasses/Nutrition. ; Fertilizers. ; Soil chemistry.
    Language Chinese
    Size 1, 3, 212 p. [2] leaves of plates :, ill. (some col.) ;, 23 m.
    Edition Di 1 ban.
    Publisher Zhongguo ling ye chu ban she ; Xin hua shu dian Beijing fa xing suo fa xing
    Publishing place Beijing Shi
    Document type Book
    ISBN 7503822465 ; 9787503822469
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Localized energy burden, concentrated disadvantage, and the feminization of energy poverty

    Chien-fei Chen / Jimmy Feng / Nikki Luke / Cheng-Pin Kuo / Joshua S. Fu

    iScience, Vol 25, Iss 4, Pp 104139- (2022)

    2022  

    Abstract: Summary: Energy burden directly influences households' health and safety. Amid a growing literature on energy, poverty and gender remains relatively understudied. We evaluate socioeconomic, geographic, and health factors as multidimensions of ... ...

    Abstract Summary: Energy burden directly influences households' health and safety. Amid a growing literature on energy, poverty and gender remains relatively understudied. We evaluate socioeconomic, geographic, and health factors as multidimensions of concentrated disadvantage that magnify energy burden in the United States over time. We show that the energy burden is more pronounced in disadvantaged counties with larger elderly, impoverished, disabled people, and racialized populations where people do not have health insurance. Neighborhoods with households headed by women of color (especially Black women) are more likely to face a high energy burden, which worsened during the COVID-19 pandemic. Although energy costs are often regarded as an individual responsibility, these findings illustrate the feminization of energy poverty and indicate the need for an intersectional and interdisciplinary framework in devising energy policy directed to households with the most severe energy burden.
    Keywords Energy resources ; Energy policy ; Energy systems ; Energy management ; Science ; Q
    Subject code 690
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Collective Privacy Recovery

    Pournaras, Evangelos / Ballandies, Mark Christopher / Bennati, Stefano / Chen, Chien-fei

    Data-sharing Coordination via Decentralized Artificial Intelligence

    2023  

    Abstract: Collective privacy loss becomes a colossal problem, an emergency for personal freedoms and democracy. But, are we prepared to handle personal data as scarce resource and collectively share data under the doctrine: as little as possible, as much as ... ...

    Abstract Collective privacy loss becomes a colossal problem, an emergency for personal freedoms and democracy. But, are we prepared to handle personal data as scarce resource and collectively share data under the doctrine: as little as possible, as much as necessary? We hypothesize a significant privacy recovery if a population of individuals, the data collective, coordinates to share minimum data for running online services with the required quality. Here we show how to automate and scale-up complex collective arrangements for privacy recovery using decentralized artificial intelligence. For this, we compare for first time attitudinal, intrinsic, rewarded and coordinated data sharing in a rigorous living-lab experiment of high realism involving >27,000 real data disclosures. Using causal inference and cluster analysis, we differentiate criteria predicting privacy and five key data-sharing behaviors. Strikingly, data-sharing coordination proves to be a win-win for all: remarkable privacy recovery for people with evident costs reduction for service providers.

    Comment: Contains Supplementary Information
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Computers and Society ; Computer Science - Distributed ; Parallel ; and Cluster Computing ; Computer Science - Information Retrieval ; Computer Science - Multiagent Systems
    Subject code 303
    Publishing date 2023-01-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Energy efficiency and energy justice for U.S. low-income households: An analysis of multifaceted challenges and potential

    Xu, Xiaojing / Chen, Chien-fei

    Energy policy. 2019 May, v. 128

    2019  

    Abstract: Energy poverty intertwines with the issues of energy inequality and energy justice, presenting a particular challenge for low-income households (LIHs). This study explores energy justice in the U.S. through the lens of several interconnected questions: ... ...

    Abstract Energy poverty intertwines with the issues of energy inequality and energy justice, presenting a particular challenge for low-income households (LIHs). This study explores energy justice in the U.S. through the lens of several interconnected questions: Do energy assistance programs have adequate participation rates? How accessible are energy efficiency (EE) appliances? Are there different energy practices across income groups? How does time schedule of energy practices differ across income groups, and how is it connected to energy demand flexibility? Based on two representative data sets, this study finds that affordability and accessibility remain serious problems for LIHs. LIHs have lower participation rates in many EE programs and own fewer EE appliances and smart grid technologies. Additionally, thermostat control strategies are different across income levels. LIHs tend to set one fixed temperature, even when they own a programmable thermostat, which is less energy efficient. LIHs engage in more energy practices throughout the daytime than their counterparts and show the least pronounced morning and evening peaks, indicating a relatively inflexible schedule and barriers to accepting demand response programs. This study concludes with policy implications for making energy more affordable, accessible, flexible, and better for the environment, while being fair to those often underserved.
    Keywords affordability ; data collection ; electrical equipment ; energy efficiency ; energy poverty ; issues and policy ; low income households ; temperature ; United States
    Language English
    Dates of publication 2019-05
    Size p. 763-774.
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0301-4215
    DOI 10.1016/j.enpol.2019.01.020
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: The impacts of COVID-19 on clean energy labor markets: Evidence from multifaceted analysis of public health interventions and COVID-health factors

    Chen, Chien-fei / Liu, Yuanyang / Greig, Jamie Alexander / Shen, Zhenglai / Shi, Yunye

    Energy policy. 2022 May, v. 164

    2022  

    Abstract: COVID-19 pandemic has affected clean energy labor market. Using real-time job vacancy data, this study analyzes the impacts of the pandemic on the U.S. clean energy labor market in 2020, including biomass, energy efficiency (EE), electric vehicle (EV), ... ...

    Abstract COVID-19 pandemic has affected clean energy labor market. Using real-time job vacancy data, this study analyzes the impacts of the pandemic on the U.S. clean energy labor market in 2020, including biomass, energy efficiency (EE), electric vehicle (EV), power/microgrid, solar, and wind industries. This study identifies how COVID-health factors and public health interventions influence clean energy job availability during the early COVID pandemic. Overall, California had the most energy jobs and experienced a significant decrease in April 2020. EV and solar had the highest percentages of job vacancies during the pandemic in general. Still, lockdowns had the most severe influence on EE and wind jobs. Stay-at-home orders negatively affected clean energy job vacancies in biomass, EV, power/microgrid, and wind. Social-gathering restrictions, however, did not have much influence. Increased COVID tests at the state level had the strongest and most positive influence on clean energy job postings, indicating the importance of a state's ability to manage public health infrastructure or crisis issues. COVID hospitalizations negatively influenced the job vacancies in biomass and wind but did not affect the other four sectors; conversely, as COVID death numbers increased, the number of jobs in biomass, EV, power grid, solar, and wind decreased, but not in EE jobs.
    Keywords COVID-19 infection ; biomass ; clean energy ; death ; electric vehicles ; employment opportunities ; energy efficiency ; energy policy ; infrastructure ; labor ; labor market ; pandemic ; public health ; wind ; California
    Language English
    Dates of publication 2022-05
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0301-4215
    DOI 10.1016/j.enpol.2022.112880
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Exploring the factors that influence energy use intensity across low-, middle-, and high-income households in the United States

    Chen, Chien-fei / Xu, Xiaojing / Adua, Lazarus / Briggs, Morgan / Nelson, Hannah

    Energy policy. 2022 May 02,

    2022  

    Abstract: This study examines the relationships between energy use intensity, which is considered as an indicator of energy efficiency, and dwelling or housing characteristics, technology (appliances), socio-demographic characteristics, geographic factors, and ... ...

    Abstract This study examines the relationships between energy use intensity, which is considered as an indicator of energy efficiency, and dwelling or housing characteristics, technology (appliances), socio-demographic characteristics, geographic factors, and energy-related behavioral actions. Additionally, it explores whether these relationships vary across low-, medium-, and high-income households. The study is based on regression analysis of the representative sample of 2015 U.S. Residential Energy Consumption Survey. Overall, the analysis revealed two important findings. First, residential energy use intensity is shaped significantly by housing characteristics, socio-demographic factors, technology, and energy-related behavioral actions. Second, the relationships between the factors examined and energy use intensity vary quite substantially across income groups. Lower income households have a higher EUI than higher income households. The policy implications of these findings are that reducing EUI in the residential sector, which may help with addressing energy burdens and poverty among low-income households, will require paying careful attention to these factors and their dynamic impacts across income groups.
    Keywords energy efficiency ; energy policy ; poverty ; regression analysis ; surveys
    Language English
    Dates of publication 2022-0502
    Publishing place Elsevier Ltd
    Document type Article
    Note Pre-press version
    ISSN 0301-4215
    DOI 10.1016/j.enpol.2022.113071
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Localized energy burden, concentrated disadvantage, and the feminization of energy poverty.

    Chen, Chien-Fei / Feng, Jimmy / Luke, Nikki / Kuo, Cheng-Pin / Fu, Joshua S

    iScience

    2022  Volume 25, Issue 4, Page(s) 104139

    Abstract: Energy burden directly influences households' health and safety. Amid a growing literature on energy, poverty and gender remains relatively understudied. We evaluate socioeconomic, geographic, and health factors as multidimensions of concentrated ... ...

    Abstract Energy burden directly influences households' health and safety. Amid a growing literature on energy, poverty and gender remains relatively understudied. We evaluate socioeconomic, geographic, and health factors as multidimensions of concentrated disadvantage that magnify energy burden in the United States over time. We show that the energy burden is more pronounced in disadvantaged counties with larger elderly, impoverished, disabled people, and racialized populations where people do not have health insurance. Neighborhoods with households headed by women of color (especially Black women) are more likely to face a high energy burden, which worsened during the COVID-19 pandemic. Although energy costs are often regarded as an individual responsibility, these findings illustrate the feminization of energy poverty and indicate the need for an intersectional and interdisciplinary framework in devising energy policy directed to households with the most severe energy burden.
    Language English
    Publishing date 2022-03-24
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2022.104139
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

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  9. Article: The impacts of COVID-19 on clean energy labor markets: Evidence from multifaceted analysis of public health interventions and COVID-health factors.

    Chen, Chien-Fei / Liu, Yuanyang / Greig, Jamie Alexander / Shen, Zhenglai / Shi, Yunye

    Energy policy

    2022  Volume 164, Page(s) 112880

    Abstract: COVID-19 pandemic has affected clean energy labor market. Using real-time job vacancy data, this study analyzes the impacts of the pandemic on the U.S. clean energy labor market in 2020, including biomass, energy efficiency (EE), electric vehicle (EV), ... ...

    Abstract COVID-19 pandemic has affected clean energy labor market. Using real-time job vacancy data, this study analyzes the impacts of the pandemic on the U.S. clean energy labor market in 2020, including biomass, energy efficiency (EE), electric vehicle (EV), power/microgrid, solar, and wind industries. This study identifies how COVID-health factors and public health interventions influence clean energy job availability during the early COVID pandemic. Overall, California had the most energy jobs and experienced a significant decrease in April 2020. EV and solar had the highest percentages of job vacancies during the pandemic in general. Still, lockdowns had the most severe influence on EE and wind jobs. Stay-at-home orders negatively affected clean energy job vacancies in biomass, EV, power/microgrid, and wind. Social-gathering restrictions, however, did not have much influence. Increased COVID tests at the state level had the strongest and most positive influence on clean energy job postings, indicating the importance of a state's ability to manage public health infrastructure or crisis issues. COVID hospitalizations negatively influenced the job vacancies in biomass and wind but did not affect the other four sectors; conversely, as COVID death numbers increased, the number of jobs in biomass, EV, power grid, solar, and wind decreased, but not in EE jobs.
    Language English
    Publishing date 2022-03-11
    Publishing country England
    Document type Journal Article
    ISSN 0301-4215
    ISSN 0301-4215
    DOI 10.1016/j.enpol.2022.112880
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  10. Article ; Online: How limitations in energy access, poverty, and socioeconomic disparities compromise health interventions for outbreaks in urban settings

    Nina Fefferman / Chien-Fei Chen / Gregory Bonilla / Hannah Nelson / Cheng-Pin Kuo

    iScience, Vol 24, Iss 12, Pp 103389- (2021)

    2021  

    Abstract: Summary: Low-income households (LIHs) have experienced increased poverty and inaccess to healthcare services during the COVID-19 pandemic, limiting their ability to adhere to health-protective behaviors. We use an epidemiological model to show how a ... ...

    Abstract Summary: Low-income households (LIHs) have experienced increased poverty and inaccess to healthcare services during the COVID-19 pandemic, limiting their ability to adhere to health-protective behaviors. We use an epidemiological model to show how a households' inability to adopt social distancing, owing to constraints in utility and healthcare expenditure, can drastically impact the course of disease outbreaks in five urban U.S. counties. LIHs suffer greater burdens of disease and death than higher income households, while functioning as a consistent source of virus exposure for the entire community due to socioeconomic barriers to following public health guidelines. These impacts worsened when social distancing policy could not be imposed. Health interventions combining social distancing and LIH resource protection strategies (e.g., utility and healthcare access) were the most effective in limiting virus spread for all income levels. Policies need to address the multidimensionality of energy, housing, and healthcare access for future disaster management.
    Keywords Energy policy ; Energy sustainability ; Social sciences ; Sociology ; Science ; Q
    Subject code 360
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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