埃尼Mustafaraj
Associate 教授essor of 计算机科学
我喜欢数据、网络和网络数据. I aim to understand, critique, and transform web-based sociotechnical systems using data & 网络科学.
I am a computational data scientist who studies the online information environment shaped by the interactions of algorithms, 人类, 和组织. I typically focus on one web-based sociotechnical system at a time. I have studied 推特, Google, Wikipedia, and YouTube. Since November 2023, I have turned my focus to TikTok. 我实验室里的学生, 韦尔斯利信用实验室, 在我的300级课程中, cs315网络数据科学, are building tools to audit TikTok’s recommendation algorithm and study the flow of information in this platform.
我喜欢合作! Since my arrival at 韦尔斯利 in 2008, I have had many long and rewarding research collaborations. During 2008-2014, I collaborated with 教授. 塔迈塔克瑟白兰地, Samantha Finn ‘12 and a large number of 韦尔斯利 students in studying how rumors or other kinds of information spread in social networks like 推特. From 2013-2017 I collaborated with 教授. 富兰克林Turbak, Maja Svanberg, 18岁, and Isabelle Li '20 on using data science and machine learning to understand how people learn to program in the MIT App Inventor online platform. Since 2015 I have been collaborating with 教授. Julie Walsh (Philosophy) on ways of integrating ethics of technology in our computer science and data science curriculum. 最近，我们 获得了国家科学基金会的资助 支持我们的工作. 作为我们项目的一部分, we are co-teaching a cross-listed CS/PHIL course on Methods for Ethics of Technology and have started LEED (Laboratory on Ethics and Equity in Digital tech). Collaborating with other 韦尔斯利 faculty, I have co-founded the 数据科学专业; the 韦尔斯利 CAPS (Computational Analysis for Political Science) Lab with 教授. Maneesh Arora, and the 韦尔斯利 CHEL (Computational 住房 Economics Lab) with 教授. Kyung公园.
I am particularly proud of the students of my research lab, the 韦尔斯利信用实验室. 很多实验室的校友, with whom I have co-authored research papers while they were undergraduate students are excelling in graduate school, 艾玛·卢里，19岁, Khonzoda Umarova, 20岁, 安娜贝尔·罗斯柴尔德，20岁, 安娜·川上21岁, Junita Sirait, 22岁. Mentoring undergraduate students is one of the main joys of my work at 韦尔斯利 and I have been fortunate to receive the NSF终身成就奖 to support this kind of research-foc使用d teaching and mentoring.
Other courses I teach are CS111 Computer Programming and Problem Solving, one of the most fun and challenging intro courses at 韦尔斯利, and two data science related courses: CS 234 Data, 分析, and Visualization and cs315网络数据科学, in which my students work on real-world projects closely related to my research and learn how to 使用 data science to make a social impact.
I love listening to podcasts and audiobooks. Some of my favorite living authors are Kazuo Ishiguro, 尼尔。斯蒂芬森, 雷切尔•卡斯克, 和Elif Batuman. I like both speculative/science fiction (Ishiguro, Stephenson, etc.) and fictionalized memoirs (Cusk, Batuman, etc.).
最后更新于2024年2月.
教育
- M.英格., Polytechnic University of Tirana (Albania)
- Ph.D., Philipps-Universität Marburg (Germany)
当前和即将开设的课程
An introduction to problem-solving through computer programming. Students learn how to read, modify, design, debug, and test algorithms that solve problems. Programming concepts include control structures, 数据结构, 抽象, 递归, 和模块化. Students explore these concepts in the context of interactive programs, 数据处理, 图像或音频, using the Python programming language.
Students are required to attend an additional two-hour laboratory section each week.
[Registration as of Tuesday, September 3] This course is currently full and the Workday waitlist is closed. If a spot becomes available during the add period a student from the (now closed) waitlist will be contacted by course faculty and allowed to register by permission of instructor (POI). Students on the Fall 2024 waitlist will be given priority status for initial Spring 2025 registration; note that this priority does not guarantee a seat in the class.
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How do we educate the next generation of data scientists, 软件工程师, and 使用r experience designers to think of their work as not just technical but also ethical? What moral responsibilities come with the design, 采用, 使用, and consumption of digital technology? The way that these questions are interrogated, 讨论了, and the sort of answers we might propose will be informed by a thoroughgoing interdisciplinary lens. Students will learn theoretical frameworks from both Philosophy and Computational and 数据科学s and work together to see how knowledge of frameworks from both disciplines serves to enrich our understanding of the ethical issues that face the development and employment of digital technologies, as well as empower us to find creative solutions. This course includes a sustained, semester-long research project, hence the additional meeting time.. Enrollment in this course is by permission of the instructor. Interested students should fill out this Google Form. (CS 299 and PHIL 222 are cross-listed courses.)
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How do we educate the next generation of data scientists, 软件工程师, and 使用r experience designers to think of their work as not just technical but also ethical? What moral responsibilities come with the design, 采用, 使用, and consumption of digital technology? The way that these questions are interrogated, 讨论了, and the sort of answers we might propose will be informed by a thoroughgoing interdisciplinary lens. Students will learn theoretical frameworks from both Philosophy and Computational and 数据科学s and work together to see how knowledge of frameworks from both disciplines serves to enrich our understanding of the ethical issues that face the development and employment of digital technologies, as well as empower us to find creative solutions. This course includes a sustained, semester-long research project, hence the additional meeting time.. Enrollment in this course is by permission of the instructor. Interested students should fill out this Google Form. (CS 299 and PHIL 222 are cross-listed courses.)