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Spartan Daily, April 30, 2024
Volume 162, Issue 38https://scholarworks.sjsu.edu/spartan_daily_2024/1038/thumbnail.jp
Andalusian Electoral Campaign 2022: Analysis of the Relationships Between Interest, Media Use and Citizen Participation
This paper analyzes the media coverage of the 2022 Andalusian election campaign and its connection to the interest expressed by citizens in the campaign, as well as their participation through voting and as transmitters of campaign-related content. To determine the existence of relationships between the variables considered, the chi-square hypothesis test is used. The strength of the associations is measured using Cramer’s V and the contingency coefficient. The results show an association between interest in the campaign and media coverage. Television is the preferred medium for staying informed, followed by digital press and radio. Debates and interviews are the most consumed content. Participation through conversations primarily occurs in family settings. However, no relationship is observed between interest in media coverage of the campaign and participation through voting. Even those who followed the campaign with greater interest seemed to have decided their vote before the elections
Kimbarow, Michael L.
University of Minnesota, Minneapolis, MN, 1982 Ph.D.
University of Michigan, Ann Arbor, MI, 1976 M.S.
Herbert H. Lehman College, Bronx, New York , 1975 B.A.https://scholarworks.sjsu.edu/erfa_bios/1323/thumbnail.jp
Guerrazzi, Diane
University of Southern California, Journalism Department, MA in Print Journalism, 1982.
University of California at Berkeley, Italian and Political Science Departments, College of Letters & Science, BA in Italian and Political Science (double major), 1979.
University of Pisa, Italy, One year of graduate study, 1980-81,
University of Padova, Italy, One year of undergraduate study, 1977-78.https://scholarworks.sjsu.edu/erfa_bios/1358/thumbnail.jp
Comparison of different drought monitoring indices in different climatic conditions in Iran
This study evaluates drought in different climate zones (Rasht, Shiraz, and Birjand) in Iran, using meteorological, agricultural, and remote sensing drought indices. For this purpose, NDVI, SAVI, and SR were extracted from Landsat images for 2002 and 2014–2020. Then, these indices were compared with the SPI, SPEI, and PDSI. The results indicate an increase in drought and a decrease in vegetation cover in the study area. In Rasht, where the vegetation cover is high, NDVI and SAVI were equal. In Shiraz and Birjand, where the soil effect is more significant, the distance between these two indices increased, which shows that SAVI performs better than NDVI for Shiraz and Birjand. The results also show that the drought severity could grow with decreasing rainfall and more water demand due to temperature increases, according to SPI, SPEI, and PDSI criteria. The comparison of drought indices showed that the highest correlations were between NDVI plus SAVI and SPI in Rasht, SR and SPEI in Shiraz, and NDVI and SPEI in Birjand. Based on the results of the Mann-Kendall test, the increasing trend of drought in the studied area is confirmed based on the SPI, SPEI, and PDSI. Therefore, it is suggested that remote sensing techniques combined with drought indices can be considered a suitable tool for optimal management of water resources, land use planning, and reduction of costs due to drought
Bridging Sociotechnical Divides: Trustworthy AI for Community Well-Being and Fair Decision-Making
The tremendous potential of AI to improve community well-being is hindered by the potential harm AI-based systems can cause. In this presentation, Dr. Ghosh will present his ongoing projects on automated decision-making and conversational chatbots. He will also discuss his upcoming work on trustworthy AI, and how they can improve the lives of marginalized communities by addressing biases and promoting equitable access to information. Dr. Ghosh is also heavily invested in AI education and outreach, which demystifies technology and empower communities with the tools to harness its potential responsibly. He will discuss some of his latest efforts in educating library and information (LIS) professionals about the latest AI developments and their ethical application in libraries.https://scholarworks.sjsu.edu/uss/1063/thumbnail.jp
Spartan Daily, December 3, 2024
Volume 163, Issue 40https://scholarworks.sjsu.edu/spartan_daily_2024/1084/thumbnail.jp
Wood, Robert Chapman
Harvard Business School, Post-Doctoral Research Fellow, 2000-2001
Boston University, School of Management, DBA 2000
Williams College, BA 1971https://scholarworks.sjsu.edu/erfa_bios/1394/thumbnail.jp