Understanding feminist themes in the most recent albums of the Billboard Top 10 Female Artists of 2022

themes, feminism, communication, lyric analysis, human brand

Research Mentor: Ms. Ashley Johns, She/her
Department, College, Affiliation: School of Communication, Communication and Information
Contact Email: ajohns@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Open to all majors
Project Location: On FSU Main Campus
Research Assistant Transportation Required:
Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-7 hours per week, flexible schedule, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Not participating in the Roundtable

Project Description

Using a thematic analysis approach, the aim of this project will be to explore the feminist themes in the most recent albums of the Billboard Top 10 Female Artists of 2022: https://www.billboard.com/charts/year-end/top-artists-female/.

Research Tasks: Literature Review, Data Coding, Data Analysis

Skills that research assistant(s) may need: Prior to applying to the assistantship position, students should research about thematic analysis. Here are a few resources/ places to start:
-- Wæraas, A. (2022). Thematic analysis: Making values emerge from texts. In Researching values: Methodological approaches for understanding values work in organisations and leadership (pp. 153-170). Cham: Springer International Publishing. https://library.oapen.org/bitstream/handle/20.500.12657/53343/1/978-3-030-90769-3.pdf#page=163
-- Stuckey, H. L. (2015). The second step in data analysis: Coding qualitative research data. Journal of Social Health and Diabetes, 3(01), 007-010. https://www.thieme-connect.com/products/ejournals/pdf/10.4103/2321-0656.140875.pdf
-- Delve. (2022). Thematic Analysis | Explanation and Step by Step Example [video]. Youtube. https://www.youtube.com/watch?v=rvMf1cbctYM

Students will be expected to have knowledge of OR be willing to learn about: navigating library resources and database, utilizing online resources for research (i.e. Research Rabbit, Google Scholar)

Unmasking Public Leadership through Tweets: A Machine Learning Analysis of U.S. City Officials’ Social Media Use

public leadership, social media use, local government officials, machine learning methods, twitter

Research Mentor: Ms. Guimin Zheng, She/Her
Department, College, Affiliation: Askew School of Public Administration, Social Sciences and Public Policy
Contact Email: gzheng@fsu.edu
Research Assistant Supervisor (if different from mentor): Ms. Jing He She/Her
Research Assistant Supervisor Email: jhe@fsu.edu
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Open to all majors, but prefer students from all social science majors, statistics, and computer science.
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote
Remote or In-person: Fully Remote
Approximate Weekly Hours: 8, During business hours
Roundtable Times and Zoom Link: Not participating in the Roundtable

Project Description

Leadership is among the core concepts in public administration (PA) (Chapman et al., 2016; Crosby & Bryson, 2018; Ospina, 2017; Van Wart, 2013). Public leadership is a phenomenon worth studying because, in an increasingly complex and ambiguous world, new challenges and pressures are placed on public organizations and their leaders (Van Wart, 2013). A growing body of literature has examined transformational leadership, but many more public leadership styles have recently been identified yet underexamined. Moreover, while many studies measure public leadership through interviews and survey questions, which is quite helpful in obtaining first-hand perspectives, there is a lack of objective measures. Therefore, this study aims to bridge the gap by facilitating a comprehensive grasp of how different types of public leadership orientations are manifested by local governmental leaders within the succinct medium of Tweets. Relying on posts published by verified city leaders’ Twitter accounts, we use BERTweet, a pre-trained machine learning language model for English Tweets, to conduct a partly automated content analysis to elucidate distinct leadership patterns exhibited within these digital communications.

Specifically, we will focus on four public leadership styles that government leaders actively use in dealing with public sector issues: (1) accountability leadership, (2) rule-following leadership, (3) political loyalty leadership, and (4) network governance leadership. First, accountability leadership promotes dialogue and encourages employees to justify their actions to their wider stakeholders, including politicians, citizens, and nongovernmental organizations (Roberts 2003). Accountable leaders encourage employees to be open and honest with their internal and external stakeholders and keep them informed of their progress and decisions. Second, rule-following leaders encourage rule-driven behavior that is trans-situational and not actor-specific (Klijn and Koppenjan 2016), urge employees to adhere to government rules and regulations, and take active steps to ensure that these rules and regulations are followed (Tummers and Knies 2016). Third, political loyalty leadership is defined as motivating employees to follow through on politicians’ decisions, even when they are costly to them. Leaders with high levels of political loyalty encourage and reward employees for following through on policy directives, even when they personally disagree and or when a bill negatively affects their own department (Heidari-Robinson 2017). Finally, network governance leadership is shown when public leaders actively encourage employees to network and connect with various stakeholders in their own organizations and in the wider community (Tummers and Knies 2016). These leaders expand employees’ network and knowledge of who their stakeholders actually are, which helps employees to put a face to the departments, agencies, and communities they serve.

For future agendas, there will be more exciting research ideas and questions we can explore with the Twitter data we collect.

Research Tasks: (1) Student research assistants will help manually collect social media accounts data, including the Twitter and Facebook accounts of about 1,200 incumbent mayors, public managers, and/ or city councilors, based on a full name list we already have. These city leaders come from over 200 U.S. cities with populations of 30,000 to over 500,000, according to the 2020 U.S. Census.
(2) They will do the human annotation tasks on the scraped posts. High-quality annotated data is very important to the later machine learning training and testing analysis.
(3) If possible, they will read relevant documents, news, and journal articles to understand how researchers use Twitter data to conduct research and share their new ideas and thoughts on interesting research questions or topics with Twitter data.
(4) If time permits, they will help analyze the data with us and interpret the statistical results.

Skills that research assistant(s) may need: Required:
- Use Microsoft Office software (e.g., Word, Excel, PowerPoint)
Recommended:
- Read articles from academic journals
- Use data analysis software, like R, Python, or STATA

MicroRobotic 3D-Printed Swimmers for Biological & Biomedical Applications

biological materials, nanomaterials, microfabrication, 3D Printing

Research Mentor: Dr. Jamel Ali,
Department, College, Affiliation: Chemical and Biomedical Engineering, FAMU-FSU College of Engineering
Contact Email: jali@eng.famu.fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Open to all majors
Project Location: On FSU Main Campus
Research Assistant Transportation Required:
Remote or In-person: In-person
Approximate Weekly Hours: 4-6, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Tuesday, Sept. 5 from 6 – 7 PM : https://fsu.zoom.us/j/95173209253
-or-
You are welcome to email me to schedule a time to meet in the MagLab or in in B373F on the Engineering Campus, Building B.

Project Description

There is growing interest in developing tiny wireless swimming devices capable of preforming a variety of tasks, ranging from environmental and industrial to agricultural and biomedical, in low Reynolds number fluids. Over the past two decades these devices have been fabricated though a number of methods, but often involve some form of traditional micromachining, which is costly in terms of time, materials, and fabrication steps.
Alternatively, additive manufacturing holds the potential to produce similarly small structured devices at higher scale and lower cost. However, so far
there are few reports that focus on additive manufacturing for producing small-scale robotic swimmers. In this proposed work, we will utilize additive
manufacturing methods and magnetic wireless control methods to explore the production of swimmers of various geometry for propulsion in viscous
biological media.

Research Tasks: Student(s) will: (1) conduct a brief literature review of additive manufacturing of micromachines, (2) use CAD software (e.g. solidworks) along with a mulit-nozzle 3D printers to produce chiral and achiral swimmers (3) assist with wet-lab experiments including (a) magnetic control experiments (b) high-resolution high-speed optical imaging, and (c) rheological characterization of viscous media. The student is expected to document all laboratory
activities and write up a report hich outlines specific printing parameters for effective robotic swimmers fabrication and control, in addition to their required research poster.

Skills that research assistant(s) may need: Passion for science and engineering along with willingness to learn and ability to balance time to work on the project while taking classes and managing other responsibilities and social activities.

Investigation of Bioprinting Parameters for Human Cancer Co-culture Models

biological materials, nanomaterials, microfabrication, 3D BioPrinting

Research Mentor: Dr. Jamel Ali,
Department, College, Affiliation: Chemical and Biomedical Engineering, FAMU-FSU College of Engineering
Contact Email: jali@eng.famu.fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Open to all majors
Project Location: On FSU Main Campus
Research Assistant Transportation Required: Yes
Remote or In-person: In-person
Approximate Weekly Hours: 4-6, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Tuesday, Sept. 5 from 6 – 7 PM : https://fsu.zoom.us/j/95173209253
-or-
You are welcome to email me to schedule a time to meet in the MagLab or in in B373F on the Engineering Campus, Building B.

Project Description

In nature, cancer tissues are heterogeneous, composed of various species surround by a polysaccharide network, and are most often spatial segregated in to distant zones which can be porous and have their own distinct mechanical proprieties. There is a growing need to fabricate model 3D structures which closely mimic the microenvironments of natural cancer tissue. However, so far there are few reports that focus on additive manufacturing detailing the rheological and structural characterization of printed cancer tissue. In this proposed work, we will utilize shear rheology and fluorescent microscopy to explore the impact of flow on cellular bioink deposition.

Research Tasks: Student(s) will (1) conduct a brief literature review of additive biomanufacturing, (2) assist with wet-lab experiments including (a) bacterial cell culture (b) production and rheological characterization of a polysaccharide based bio-inks and (c) florescent imaging of cells/tissue (3) Students will also use CAD software (e.g. solidworks) along with a mulit-nozzle 3D bioprinter. The student is expected to document all laboratory activities and write up a report by the end of the summer which outlines specific printing parameters for effective fabrication, in addition to their required research poster.

Skills that research assistant(s) may need: Passion for science and engineering along with willingness to learn and ability to balance time to work on the project while taking classes and managing other responsibilities and social activities.

Denying Human Rights Abuses

political science; international relations; human rights; political communication

Research Mentor: Mr. Damian Boldt,
Department, College, Affiliation: Political Science, Social Sciences and Public Policy
Contact Email: dmb19d@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Political Science
International Affairs
Economics
Project Location: On FSU Main Campus
Research Assistant Transportation Required:
Remote or In-person: In-person
Approximate Weekly Hours: 8-10 hours, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Thursday, Sept. 7 5:30-6:00pm, Recording: https://fsu.zoom.us/rec/share/1sfS7ZXuSkyYv_oBOlrnXq3W5mPt8KycwpNYQzFSG8MB5kQBU5T9-XtG9LmaRNEg.-RdUuwqu-M_3hokJ
Friday, Sept. 8 1:00-1:30pm, Recording: https://fsu.zoom.us/rec/share/7jZXyvjq6mlsvCO9IWsf5YLUDCAehU1SfOlS7NU5TiyYMtGILvQhstxCfLOgLEKL.M_5wrSqhBCbWul56
Friday, Sept. 8 3:00-3:30pm, Zoom link: https://fsu.zoom.us/j/98230486255

Project Description

This project aims to collect data on when and how political leaders and other elites publicly deny allegations of human rights abuses. Anecdotally, in response to accusations of human rights abuses, political elites frequently employ communication strategies that deny and distract away from these accusations. However, we currently lack data to systematically examine both the use of denials and the different types of denials that are used. This project represents the first attempt to gather this data in the context of Targeted Mass Killings (human rights abuses on a mass scale up to and including genocide). For each instance of a Targeted Mass Killing, this project will use international media resources (e.g., Associated Press, New York Times, Washington Post, etc.) to determine 1) whether domestic political elites employed a strategy of denial, and 2) what type of denial they used. This data will allow for a systematic investigation of the conditions when political leaders employ public denials and the types of denials they use. The goals of this project include a novel data set of leader denials, academic research output (e.g., peer-reviewed publications) and public-facing research output (e.g., policy recommendations and public awareness of denial).

Research Tasks: 1. Data collection
2. Preliminary data analysis
3. Literature review

Skills that research assistant(s) may need: Required:
1. Database search skills (library search, Google Scholar etc.)
2. Beginning Excel data management (entering data into columns, etc.)

Research Study on Beginning Teacher’s Use of a High Leverage Practice During Math

beginning teachers, students with disabilities, mathematics, academics

Research Mentor: Ms. Danielle Morsching, She/Her
Department, College, Affiliation: School of Teacher Education, Education
Contact Email: dpm02@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: Yes
Number of Research Assistants: 1
Relevant Majors: Education
Psychology
Communication disorders

Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote
Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Tue, Sept 5 4:45-5:00
Fri, Sept 8 12:30-1:00
https://fsu.zoom.us/my/dpm02
If you cannot attend the round table times, you can find more information at the following video link:
https://fsu.zoom.us/rec/share/e194SxCvhEUnOZgVrVJZ2j0zfdn4QhjLpGDF6tlRAVQ7qa9OysSHuCXZ-RcvDa5U.HDPdqz6OQ6pnBIEz

Project Description

During this project, we will be working with beginning teachers who teach students with disabilities to increase teacher's use of a high-leverage teaching practice during mathematics instruction. Teachers will complete an asynchronous training on the high-leverage practice, then we will monitor the teachers' implementation and provide daily feedback on instructional sessions.

Research Tasks: Tasks may focus on single case research design (e.g. coding videos, recording data, and interpreting findings). Task may focus on material development (e.g. printing, cutting, laminating, and organizing materials)

Skills that research assistant(s) may need: Recommended: interest in education

Enhancing Patient Care and Resource Allocation in Florida Healthcare: A Data-Driven Approach

Healthcare Optimization, Data Analysis, Resource Management, Data-Driven Healthcare, Patient Care Improvement

Research Mentor: Dr. Arda Vanli,
Department, College, Affiliation: Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering
Contact Email: oavanli@eng.famu.fsu.edu
Research Assistant Supervisor (if different from mentor): Reza Abazari
Research Assistant Supervisor Email: sa21g@fsu.edu
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: No
Number of Research Assistants: 1
Relevant Majors: Open to All Majors with Emphasis on Mathematical Modeling, Statistical Analysis, Operations Research, and Healthcare Informatics and Management Backgrounds
Project Location: 2525 Pottsdamer St.
Research Assistant Transportation Required: University busing
Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10 hours a week, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Not participating in the Roundtable

Project Description

In the world of healthcare, using data to improve patient care and make healthcare systems more efficient is a big opportunity. We need to include these data-driven ideas in the complex world of healthcare. The usual ways of deciding where to put patients and how to use resources need new and creative solutions that consider different patient needs, local conditions, and changing diseases. Our research plan is about using data and math to change how we assign patients in Florida's healthcare places. This is important because in healthcare, we need to make sure patients get the right care. We want to build a system that matches patients with the right places for their needs. In this project, we will create a way to match patients with places to get care. We'll think about things like patient health, how many people a place can take, where places are, and how much disease is spreading. We will use math and smart ways of looking at data to help us make these decisions. Our goal is to make a tool that changes and adapts as healthcare changes. We'll use tools like R, Python, Excel, Minitab, and JMP to look at data and understand what it tells us. These tools will help us figure out what patients need and where we should put resources. We'll also use Python or GAMS to solve math problems that come up. In the end, our project wants to give healthcare professionals useful information so they can make good decisions. We want to make healthcare better by using data to help patients get the care they need. Our project will help improve how we decide where to put patients and how to use resources in healthcare.



Research Tasks: Data Exploration and Cleaning, Literature Review, Statistical Analysis and Prediction, Mathematical Modeling


Skills that research assistant(s) may need: Skills Recommended (but Not Required):
• Programming: Some familiarity with Python and R programming languages would be beneficial. However, no prior experience is necessary as we will provide guidance and support.
• Basic Data Handling: Basic knowledge of Excel and Minitab will be helpful for managing and organizing data.

Interventions on eating disorders amongst college-aged LGBTQ+ populations

eating disorders; LGBTQ+; college-aged; disordered eating

Research Mentor: Megan Megan Bell, she/her/hers
Department, College, Affiliation: Educational Psychology & Learning Systems, Education
Contact Email: mcb18f@fsu.edu
Research Assistant Supervisor (if different from mentor): Dr. Shengli Dong he/him/his
Research Assistant Supervisor Email: sdong3@fsu.edu
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Psychology, Sociology, Interdisciplinary Social Science, Social Work. However, I am open to all who are interested in this project.
Project Location: On FSU Main Campus
Research Assistant Transportation Required:
Remote or In-person: Fully Remote
Approximate Weekly Hours: 5-10 hours a week , Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Not participating in the Roundtable

Project Description

This project is a comprehensive literature review that will review the existing literature amongst discrepancies in eating
disorder symptomatology and treatment that may exist within the demographic population of college-aged LGBTQ+ individuals with eating disorders. Here, this comprehensive literature review will identify gaps in the research by asking
these questions: 1) How do interventions intersect with ED/DEB symptomatology in college-aged LGBTQ individuals?
2) What does the current literature say about ED/DEB in other college-aged groups (college-aged athletes, college-aged ethnic/racial minorities).

Research Tasks: literature review

Skills that research assistant(s) may need: Research assistants are expected to have the ability to read and analyze articles and screen out articles that do not meet inclusion criteria
Research assistants are expected to have the ability to write a coherent synthesis
Research assistants are expected to have proficiency in using Word and Excel.

Culture, Conversations and Social Networks in 18th- & 19th- Century Italy

Women writing, social networks, arts, science, music

Research Mentor: Dr. Irene Zanini-Cordi, She/her/hers
Department, College, Affiliation: Department of Modern Languages and Linguistics, Arts and Sciences
Contact Email: izaninicordi@fsu.edu
Research Assistant Supervisor (if different from mentor): n/a
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: No
Number of Research Assistants: 4
Relevant Majors: Open to all majors, however it is ideal for students who have a keen eye for editing, are detail oriented, inquisitive and love to read.
Project Location: On FSU Main Campus
Research Assistant Transportation Required:
Remote or In-person: Partially Remote
Approximate Weekly Hours: 8, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Friday, September 8, 2:00-3:00pm Irene Zanini Cordi is inviting you to a scheduled Zoom meeting.
Topic: Irene Zanini Cordi's Personal Meeting Room
Join Zoom Meeting
Irene Zanini Cordi is inviting you to a scheduled Zoom meeting.

Topic: Irene Zanini Cordi's Urop Zoom Meeting
Time: Sep 8, 2023 02:00 PM Eastern Time (US and Canada)

Join Zoom Meeting
https://fsu.zoom.us/j/91200857762

Meeting ID: 912 0085 7762

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Project Description

The project is centered on the book I am completing, titled "Fashioning Italian Women, Fashioning a Nation 1780s-1860s," a monograph on Italian sociability and the writings of women who animated literary salons and "salotti di cultura" from just before the French Revolution to Italian Unification. Spanning a period of 100 years,, from just before the French Revolution (1789) to the Italian Unification (1861), my book looks at the multiple ways Italian women participated in and shaped their current cultural discourse, by facilitating the creation of social, cultural and political networks through their salon gatherings. Because of its roots in sociability, and the variety of 'characters' it focuses on, this project considers multiple aspects of culture from fashion, hospitality, art, tourism and music to the medical and experimental sciences, religion and politics. The book manuscript is grounded on Social Network Theory and considers aspects of celebrity culture, political theory, scientific dissemination, journalism and translation studies.


Research Tasks: Research tasks will include: literature review, bibliographical work, online research and retrieval of texts, reading and editing book chapters, helping with dissemination of findings through social media.

Skills that research assistant(s) may need: Required: ability to carry out research independently, intellectual curiosity, very good English writing skills, an eye for detail and a drive towards critical inquiry.
Knowledge of Italian or French is not necessary at all but could come in handy!

Theory and Hypothesis Testing with Panel Data

political science; data science; hypothesis testing; causal inference; panel data

Research Mentor: Mr. Damian Boldt,
Department, College, Affiliation: Political Science, Social Sciences and Public Policy
Contact Email: dmb19d@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:

Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Political Science
Economics
Project Location: On FSU Main Campus
Research Assistant Transportation Required:
Remote or In-person: In-person
Approximate Weekly Hours: 8-10 hours, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Thursday, Sept. 7 from 6:00 to 6:30pm (Zoom link: https://fsu.zoom.us/j/99415704736)
Friday, Sept. 8 from 1:30 to 2:00pm (Zoom link: https://fsu.zoom.us/j/96301462218)
Friday, Sept. 8 from 3:30 to 4:00pm (Zoom link: https://fsu.zoom.us/j/96321700237)

Project Description

This project aims to understand how political scientists typically formulate hypotheses and test null hypotheses using panel data (i.e., multiple units observed over multiple time periods). Panel data are frequently used to test theories in a variety of sub-fields of political science including international relations, comparative politics, American politics, and public policy. Recent advances in political methodology suggest that statistical models such as linear regression and fixed effects regression estimate different quantities of interest than what social scientists believed for many years. This project seeks to understand how political scientists typically formulate hypotheses in panel data settings to understand the theoretical comparisons that political scientists view as reasonable. The project also aims to compare these hypotheses to the null hypothesis tests that are actually implemented in quantitative analysis. To accomplish these goals, we will collect data on hypotheses and empirical tests that use panel data and appear in the top journals in Political Science (APSR, AJPS, and JOP), in addition to sub-field journals such as International Organization, Comparitive Politics, Journal of Conflict Resolution, and more. This data will be used to quantify how political scientists formulate hypotheses and the extent to which their empirical approaches match theoretically relevant hypotheses, in an attempt to understand how large the gap between theory and empirical tests is in practice. This project aims to produce a publicly available data set, in addition to academic output (e.g., peer-reviewed publications), and public-facing output.

Research Tasks: Data Collection
Literature Review
Preliminary Data Analysis

Skills that research assistant(s) may need: Required:
Library database research skills
Preliminary data entry and management skills

Recommended:
Familiarity with hypothesis testing
Familiarity with social science research methods