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RSF welcomes Twitter’s clampdown on robotized censorship

By on June 12, 2021

first_img Twitter is setting stricter boundaries on bots, programs often used by press freedom’s predators to amplify their propaganda and to harass journalists An estimated 48 million accounts on the microblogging platform are thought to be fake and managed by bots. However, according to Twitter’s announcement on February 21, sending retweets, likes, or follows from multiple accounts simultaneously will now be forbidden. Users will no longer be able to disseminate content from dozens of accounts with a single click. “We welcome Twitter’s decision, as bots are often used by predators to artificially amplify their propaganda and to discredit journalists,” said Elodie Vialle, the head of RSF’s Journalism and Technology Bureau. “Such robotized censorship enables authoritarian regimes to silence dissent. Bots are used, for example, to create huge volumes of complaints about posts by journalists so that they are blocked on abusive content grounds. We have also seen how they are used to harass journalists by, for example, automatically retweeting death threat hashtags.” Robotized censorship is a disturbing phenomenon that works against the freedom to inform, and platforms must combat the massive use of automated fake accounts. RSF nonetheless points out that anonymity and the use of an account under a false name is often the only way journalists can share information in countries in which security concerns prevent them from revealing their real identity online. Organisation PredatorsInternet PredatorsInternet Reporters Without Borders (RSF) hails Twitter’s announcement that it is setting stricter boundaries on bots – programs that generate automated posts from multiple accounts. Press freedom’s predators often use these fake accounts both to amplify their propaganda and to harass journalists. center_img News RSF_en February 28, 2018 RSF welcomes Twitter’s clampdown on robotized censorship Help by sharing this informationlast_img read more

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Mathematics and Statistics, Assistant Professor, Bioinformatics and Data Science, Tenure Track

By on May 3, 2021

first_imgClose Date Job Number85TBD CampusRogers Park-Lake Shore Campus Duties and Responsibilities Organizational LocationPROVOST Quick Link for Postinghttps://www.careers.luc.edu/postings/14559 Job CategoryUniversity Faculty Desired Start Date08/09/2021 Is this split and/or fully grant funded?No Location CodeMATHEMATICS AND STATISTICS (02114A) Qualifications Position Details Physical DemandsNone The candidate will have a Ph.D. in statistics, bioinformatics, datascience, computer science, or a related field at the time ofappointment. Candidates for the position must clearly demonstratethe potential for excellence in research and teaching and have arecord of (or clear potential for) distinguished scholarship,grant-funded research, and student mentorship. Candidates pursuingresearch programs that focus on or address issues of social justiceand diversity are highly encouraged to apply. Commitment to andexpertise in inclusive teaching practices and experience mentoringstudents from under-represented populations is highly desirable.The candidate should be willing to support the mission of LUC andthe goals of a Jesuit Catholic Education. Number of Vacancies1 The Department of Mathematics and Statistics in the College of Artsand Sciences at Loyola University Chicago ( LUC ) invitesapplications for a full-time tenure-track position at the rank ofAssistant Professor, for the academic year 2021-22. The departmentseeks applicants with expertise in bioinformatics and data science.The successful candidate will be joining a department with morethan 35 full-time faculty members, over 380 majors and minorsacross 7 undergraduate programs in mathematics, statistics and datascience, and 2 graduate programs. For more information about thedepartment, please visit its website athttps://www.luc.edu/math/index.shtml.This search is part of a University-wide, multi-year hiringinitiative designed to hire outstanding researchers and teacherswho are reflective of our diverse student body and committed tointerdisciplinarity (i.e., working with colleagues across differentsubfields and disciplines) and the pursuit of external grants. Ofspecial interest are candidates who can further the University’sefforts to foster diversity, equity, and inclusion.The position involves teaching undergraduate and graduate coursesin support of the department’s B.S. in statistics, B.S. datascience program, B.S bioinformatics program, the M.S. in appliedstatistics and the M.S. in bioinformatics with a course load of twoclasses per semester. The successful candidate is expected topursue a strong research program, including the pursuit of externalgrants and perform service, such as mentoring underservedpopulations, at the department, college, and universitylevels. Position TitleMathematics and Statistics, Assistant Professor, Bioinformaticsand Data Science, Tenure Trackcenter_img Position End Date Open Until FilledYes Position Number Open Date11/23/2020 Special Instructions to Applicants Candidates should submit to www.careers.luc.edu (1) a brief letterof interest; (2) a current Curriculum Vitae; (3) a statementoutlining the applicant’s research agenda; (4) a statement onteaching experience; and (5) a statement addressing past and/orpotential contributions to mentoring a diverse student body throughresearch, teaching and other channels and engaging a diversecommunity through scholarship and service. Applicants should alsoarrange for three recommendations from individuals prepared tospeak to their professional qualifications for this position,especially in terms of scholarship, teaching and mentorship, to besubmitted electronically to the above website (letter writers willreceive an electronic prompt from LUC ).Additionally, applicants should submit all application materials,including letters of recommendation, to http://www.mathjobs.org. Atleast one of the letters should address teachingqualifications.Candidates may forward additional materials related to teachingexcellence and samples of scholarly publications to:Gregory J. Matthews, Ph.D., Search Committee [email protected] of applications will begin on December 7, 2020 and continueuntil the position is filled.LUC is an Equal Opportunity/Affirmative Action employer with astrong commitment to hiring for our mission and diversifying ourfaculty. The University seeks to increase the diversity of itsprofessoriate, workforce and undergraduate and graduate studentpopulations because broad diversity – including a wide range ofindividuals who contribute to a robust academic environment – iscritical to achieving the University’s mission of excellence ineducation, research, educational access and services in anincreasingly diverse society. Therefore, in holistically accessingthe many qualifications of each applicant, we would factorfavorably an individual’s record of conduct that includesexperience with an array of diverse perspectives, as well as a widevariety of different educational, research or other workactivities. Among other qualifications, we would also factorfavorably experience overcoming or helping others overcome barriersto an academic career or degrees.As a Jesuit Catholic institution of higher education, we seekcandidates who will contribute to our strategic plan to deliver atransformative education in the Jesuit tradition. To learn moreabout LUC’s mission, candidates should consult our website atwww.luc.edu/mission. For information about the university’s focuson transformative education, they should consult our website atwww.luc.edu/transformativeed. The candidate will have a Ph.D. in statistics, bioinformatics, datascience, computer science, or a related field at the time ofappointment. Candidates for the position must clearly demonstratethe potential for excellence in research and teaching and have arecord of (or clear potential for) distinguished scholarship,grant-funded research, and student mentorship. Candidates pursuingresearch programs that focus on or address issues of social justiceand diversity are highly encouraged to apply. Commitment to andexpertise in inclusive teaching practices and experience mentoringstudents from under-represented populations is highly desirable.The candidate should be willing to support the mission of LUC andthe goals of a Jesuit Catholic Education. FLSA StatusExempt Job TypeFull-Time Posting Details Working ConditionsNone Minimum Education and/or Work Experience Job TitleMathematics and Statistics, Assistant Professor, Bioinformaticsand Data Science, Tenure Track Applicant DocumentsRequired DocumentsCover Letter/Letter of ApplicationCurriculum VitaeTeaching StatementResearch StatementOther DocumentOptional Documents Supplemental QuestionsRequired fields are indicated with an asterisk (*). Department NameMATHEMATICSlast_img read more

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