May 2024 - dataanalyticsmaprogram@lists.qc.cuny.edu

[DataAnalyticsMAProgram 0161] SAVE THE DATE - JUNE 27 - TRANSITIONING TO WORKPLACE WORKSHOP
by Mindy Rhindress 17 Jun '24

17 Jun '24

Dear Students. We will be holding the next workshop on Transitioning to the Workplace on Thursday June 27 at 6:30 for an hour plus. Virtual on Zoom. This semester's workshop will concentrate on the wide variety of industries where there are opportunities that fit our MA Degree in Data Analytics and Applied Social Research. On tap are alumni who will speak about their experiences in the job market. Come, there is a lot to learn. Free, of course. More information will follow. Meantime, if you plan to attend, please let me know by email. To receive the link, you must register by sending me an email. Mindy Rhindress, PhD Sociology and Data Undergraduate Departments MA Program in Data Analytics and Applied Social Research Mentor-in-Residence

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[DataAnalyticsMAProgram 0172] Internship Opportunity
by Ryan Sperry 27 May '24

27 May '24

CUNY Internship Opportunities for students. https://cunyinternship-oaa-csm.symplicity.com/ ______________________________________________________ Professor Ryan C. Sperry, PhD Department of Sociology, Queens College City University of New York Director, MA in Data Analytics & Applied Social Research email: ryan.sperry(a)qc.cuny.edu<mailto:ryan.sperry@qc.cuny.edu> http://qcbigdata.org<http://qcbigdata.org/>

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[DataAnalyticsMAProgram 0171] Fw: Data Scientist Jobs at U.S. Census Bureau
by Mindy Rhindress 20 May '24

20 May '24

Mindy Rhindress, PhD Sociology and Data Undergraduate Departments MA Program in Data Analytics and Applied Social Research Mentor-in-Residence ________________________________ From: Jenny Hunter Childs (CENSUS/ADDP FED) (via aapor-net list) <aapor-net(a)groups.aapor.org> Sent: Monday, May 20, 2024 1:10 PM To: AAPORnet <aapor-net(a)groups.aapor.org> Subject: [aapor-net] - Data Scientist Jobs at U.S. Census Bureau * This email originates from a sender outside of CUNY. Verify the sender before replying or clicking on links and attachments. * The U.S. Census Bureau just posted several Data Scientist vacancies. Please apply and/or share! Data Scientist, GS-1560-13, USAJOBS - Job Announcement<https://www.usajobs.gov/job/791887200?PostingChannelID=> Data Scientist, GS-1560-12, USAJOBS - Job Announcement<https://www.usajobs.gov/job/791886900?PostingChannelID=> Data Scientist, GS-1560-11, USAJOBS - Job Announcement<https://www.usajobs.gov/job/791887100?PostingChannelID=> Note that if you are currently in the Federal Service, there are two job announcements for each of these that you may qualify for. There's a note to this effect under Qualifications. Thanks! Jenny Jennifer Hunter Childs, Senior Statistician for Demographic Research Demographic Directorate U.S. Census Bureau O: 301-763-4927| M: 202-603-4827 census.gov<https://www.census.gov/en.html> | @uscensusbureau<https://www.census.gov/about/contact-us/social_media.html> To change your mail delivery preferences, visit your deliverability preferences page<https://groups.aapor.org/> To view the archives for this list, visit the list archives<http://groups.aapor.org/aapor-net> To view the archives for messages posted prior to 7/12/2019, visit this page<https://www.aapor.org/My-AAPOR/List-Archives/aapor-net.aspx>

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[DataAnalyticsMAProgram 0170] Tomorrow: Wednesday (May 13th) | Sociology Department Seminar Series with Sam Stabler
by Anna Skarpelis 14 May '24

14 May '24

Dear colleagues and friends, We are excited to announce that our next meeting will take place tomorrow, Wednesday at 12:15 p.m. in PH-347. We will have the wonderful Sam Stabler of Hunter College, CUNY as speaker. Sam will present on a book he authored with Shai Dromi that was just published with the University of Chicago Press: “Moral Minefields: How Sociologists Debate Good Science.” It is hard to overstate just how timely their book is for making sence of the present. Please find more details in the attached flyer. This meeting will be in person. Food and beverages will be served! We look forward to seeing many of you tomorrow! Best regards, Anna, Christine, Peter & Yinxian [cid:image001.png@01DAA5E5.278A7490] -- A.K.M. Skarpelis, Ph.D. Assistant Professor of Sociology Richard Lachmann Chair of Sociology www.skarpelis.com<http://www.skarpelis.com>

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[DataAnalyticsMAProgram 0169] Wednesday (May 13th) | Sociology Department Seminar Series with Sam Stabler
by Anna Skarpelis 09 May '24

09 May '24

Dear colleagues and friends, We are excited to announce that our next meeting will take place coming Wednesday at 12:15 p.m. in PH-347. We will have the wonderful Sam Stabler of Hunter College, CUNY as speaker. Sam will present on a book he authored with Shai Dromi that was just published with the University of Chicago Press: “Moral Minefields: How Sociologists Debate Good Science.” It is hard to overstate just how timely their book is for making sence of the present. Please find more details in the attached flyer. This meeting will be in person. Food and beverages will be served! We look forward to seeing many of you on Wednesday! Best regards, Anna, Christine, Peter & Yinxian [cid:image001.png@01DAA163.C47AB020] -- A.K.M. Skarpelis, Ph.D. Assistant Professor of Sociology Richard Lachmann Chair of Sociology www.skarpelis.com<http://www.skarpelis.com>

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[DataAnalyticsMAProgram 0168] Fw: Coming soon! GS-12/13 Research Statistician vacancy at the Bureau of Labor Statistics
by Mindy Rhindress 07 May '24

07 May '24

Mindy Rhindress, PhD Sociology and Data Undergraduate Departments MA Program in Data Analytics and Applied Social Research Mentor-in-Residence ________________________________ From: Morrison, Rebecca - BLS (via aapor-net list) <aapor-net(a)groups.aapor.org> Sent: Tuesday, May 7, 2024 3:31 PM To: aapor-net(a)groups.aapor.org <aapor-net(a)groups.aapor.org> Subject: [aapor-net] - Coming soon! GS-12/13 Research Statistician vacancy at the Bureau of Labor Statistics * This email originates from a sender outside of CUNY. Verify the sender before replying or clicking on links and attachments. * Do you enjoy conducting survey methodological research? Do you like mixing qualitative and quantitative research to solve problems related to surveys of households, individuals, and establishments? Do you like working in a group to address issues related to user experience, measurement error, or nonresponse error? Does a federal job that emphasizes work-life balance and is committed to your professional development sound right for you? If the answers to those questions is yes, then consider applying to the U.S. Bureau of Labor Statistics<https://www.bls.gov/> (BLS) Office of Survey Methods Research! We will be hiring one GS-12 or GS-13 Research Statistician to join the Behavioral Science Research Center (BSRC<https://www.bls.gov/osmr/overview.htm#BSRC>). In the coming weeks, two vacancy announcements will be posted on USAJobs.gov<https://www.usajobs.gov/>: one for members of the public, and one for federal employees. U.S. citizenship is required. Candidates may apply at the GS-12 or GS-13 level, with promotion potential up to a GS-14. (More information about government pay scales can be found here<https://www.opm.gov/policy-data-oversight/pay-leave/salaries-wages/fact-she…>, here<https://www.opm.gov/policy-data-oversight/pay-leave/salaries-wages/2023/gen…>, and here<https://www.opm.gov/policy-data-oversight/pay-leave/pay-systems/general-sch…>.) Telework is available. Interested applicants are encouraged to set up accounts in USAJobs and start preparing their application materials in advance of the announcement, as it may close quickly. USAJobs also allows users to save their searches<https://www.usajobs.gov/Help/how-to/search/save/> and set up notifications for future vacancy announcements<https://www.usajobs.gov/Help/faq/search/job/not-posted/>. In 2023, AAPOR hosted a webinar on revamping resumes<https://youtu.be/RjOcWj9MO5k?si=p65oINF9fVtlZl1r>, which included a segment (starting around 42:45) on applying to positions in the federal government. A few tips for a successful application process are outlined here: • Review the required documentation (including resumes and unofficial transcripts) to ensure the application is complete. • Provide transcripts that document the degree requirements listed in the Qualifications section of the announcement. Provide all relevant transcripts, not just your most recent one. If the transcripts are not self-explanatory, add a section for "relevant coursework" to the education section of your resume or CV, highlighting the courses and credits that should count toward the requirement. • Tailor your resume or CV to the vacancy announcement. Document your relevant work experience through bullet points in your resume or CV. Reflect the language used in the announcement where applicable (see Duties and Specialized Experience under Qualifications). Resumes are first reviewed by non-technical human resources staff that determine whether you are minimally qualified by ensuring your resume corresponds to the requirements listed in the announcement. • Ensure that your work experience is tied to specific position titles and dates. Do NOT list all work experience in one section. For each position, list start and stop dates (using “MM/YYYY” format), and include information about the number of hours worked per week. This is how human resources staff determine whether your cumulative experience meets the work threshold (see Specialized Experience under Qualifications). • You do not have to limit your resume or CV to one or two pages. You can take as much room as you need (within reason) to convey your qualifications. • Proofread your resume or CV before you submit your application. • For more information on writing an effective Federal resume, read: Tips for Writing a Federal Resume | U.S. Department of Labor (dol.gov)<https://www.dol.gov/general/jobs/tips-for-writing-a-federal-resume#:~:text=….> If you have any questions about the position, please contact Kristen Nathe at the Department of Labor Office of Human Resources (312-353-2364 or Nathe.Kristen.A(a)dol.gov<mailto:Nathe.Kristen.A@dol.gov>). Rebecca L. Morrison (she/her/hers) Director, Behavioral Science Research Center Office of Survey Methods Research Bureau of Labor Statistics 202-691-5715 To change your mail delivery preferences, visit your deliverability preferences page<https://groups.aapor.org/> To view the archives for this list, visit the list archives<http://groups.aapor.org/aapor-net> To view the archives for messages posted prior to 7/12/2019, visit this page<https://www.aapor.org/My-AAPOR/List-Archives/aapor-net.aspx>

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[DataAnalyticsMAProgram 0167] Wednesday (May 8) | Sociology Department Seminar Series with Shige Song
by Yinxian Zhang 06 May '24

06 May '24

Dear colleagues and friends, We are excited to announce that our next meeting will take place this Wednesday at 12:15 p.m. in PH-333. We will have our very own Shige Song as the speaker. Shige will workshop an exciting research project applying agent-based models to explore the relationship between fertility change and cultural change. Please find more details in the flyer below. This meeting will primarily be in person. Food and beverages will be served! However, if you are unable to come in person, you can also join the talk via Zoom: https://us02web.zoom.us/j/84511579035?pwd=YzRGUTkvT0pzeHo3K1BTbWUvOXJDZz09 We look forward to seeing many of you on Wednesday! Best regards, Anna, Christine, Peter & Yinxian [cid:164b789b-8895-4618-aa07-0dd386a0a0bf] Yinxian Zhang Assistant Professor of Sociology Queens College, CUNY

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[DataAnalyticsMAProgram 0166] LOOK! Our MA Program is Offering a Summer Course
by Mindy Rhindress 03 May '24

03 May '24

Topic: Data and Transportation Professor: Mindy Rhindress Dates: June 3-27 Instruction Mode: Online asynchronous, no class meeting times, you move at your own pace Type of course: Elective but fills the requirement for one of the following....survey, theory, methods Support: Clear instructions on Brightspace (the new Blackboard) with my personal assistance as needed More details: We will look at 3 topics: (1) infrastructure improvements and innovations including transit to metro airports, bike lanes and electric vehicles; (2) cost equity including payment methods, congestion pricing and rideshare, and (3) data privacy including GPS, digital payments and apps. Of these 3, you will select one to investigate further during June. You will learn how to design and implement an online survey research project using Survey Monkey. The class is asynchronous and you will be able to move at your own pace through the materials. However, there are strict due dates for assignments. There will be clear instructions on how to proceed on Brightspace and I will stand by to give you personal assistance by email or via zoom with an appointment. Please contact Dr. Sperry if you want to register. Please contact me (Prof Rhindress at mindy.rhindress(a)qc.cuny.edu) if you want more information. Mindy Rhindress, PhD Sociology and Data Undergraduate Departments MA Program in Data Analytics and Applied Social Research Mentor-in-Residence

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[DataAnalyticsMAProgram 0165] Fw: NSF/NCSES ORISE Fellow Opportunity
by Mindy Rhindress 03 May '24

03 May '24

Mindy Rhindress, PhD Sociology and Data Undergraduate Departments MA Program in Data Analytics and Applied Social Research Mentor-in-Residence ________________________________ From: Finamore, John M. (via aapor-net list) <aapor-net(a)groups.aapor.org> Sent: Friday, May 3, 2024 2:01 PM To: aapor-net(a)groups.aapor.org <aapor-net(a)groups.aapor.org> Subject: [aapor-net] - NSF/NCSES ORISE Fellow Opportunity * This email originates from a sender outside of CUNY. Verify the sender before replying or clicking on links and attachments. * The National Center for Science and Engineering Statistics (NCSES) within the U.S. National Science Foundation (NSF) has an available opportunity for an ORISE Fellow. Under direction from a mentor, the ORISE Fellow will learn about the National Secure Data Service (NSDS) Demonstration Project and its associated data linking and analytical activities. The ORISE Fellow will directly participate in projects implementing privacy preserving record linkage (PPRL), synthetic data creation, and noise infusion. The ORISE Fellow will learn about data quality assessments and analysis of linked and synthetic datasets via programming and analytic skills. The application can be found here: https://www.zintellect.com/Opportunity/Details/NSF-NCSES-2024-0003 For more information about NSF-NCSES, please visit https://ncses.nsf.gov/ If you have any questions about this ORISE Fellow opportunity, please contact Lisa Mirel at lbmirel(a)nsf.gov<mailto:lbmirel@nsf.gov> John Finamore Chief Statistician National Center for Science and Engineering Statistics National Science Foundation 703-292-2258 jfinamor(a)nsf.gov<mailto:jfinamor@nsf.gov> www.nsf.gov/statistics<http://www.nsf.gov/statistics/srvygrads> To change your mail delivery preferences, visit your deliverability preferences page<https://groups.aapor.org/> To view the archives for this list, visit the list archives<http://groups.aapor.org/aapor-net> To view the archives for messages posted prior to 7/12/2019, visit this page<https://www.aapor.org/My-AAPOR/List-Archives/aapor-net.aspx>

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[DataAnalyticsMAProgram 0164] Schedule Your Course Registration Appointment
by Ryan Sperry 02 May '24

02 May '24

Dear Master's Students, Thank you to the students who have already scheduled their registration appointments with me. To all of you who have not done so yet, I am resending my previous email below. All students must meet with me to review their progress in the program if we have not met already. Failure to do so may put your graduation schedule in jeopardy. To facilitate the registration process, I am asking each of you to schedule an appointment with me. During our meeting, we will discuss your current academic standing and your future goals. This is a valuable opportunity to make informed decisions about your academic journey and to address any questions or concerns you might have. I can meet on campus during my office hours (Mondays 3:30 – 5:30 PM), outside of my office hours on campus by appointment, remotely on other days. To schedule your appointment, please email me directly at ryan.sperry(a)qc.cuny.edu Sincerely, Prof. Sperry ______________________________________________________ Professor Ryan C. Sperry, PhD Department of Sociology, Queens College City University of New York Director, MA in Data Analytics & Applied Social Research https://qcsociology.commons.gc.cuny.edu/ email: ryan.sperry(a)qc.cuny.edu<mailto:ryan.sperry@qc.cuny.edu>

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