More from Tufts Events
- Oct 21All dayDiwali (Mahavir Nirvana)Event Type: Multifaith Observance Event Sponsor: University Chaplaincy (Jainism) This "Festival of Lamps" celebrates the attainment of Moksa by Lord Mahavira. A burning lamp symbolizes the "light of knowledge," which dispels the darkness of delusion and ignorance.
- Oct 219:00 AMTufts Community Workshop Day 2025 on CybersecurityBuilding: Alumnae Hall City: Medford, MA 02155 Campus: Medford/Somerville campus Location Details: Alumnae Lounge Open to Public: Yes Primary Audience: Alumni and Friends,Interns and Residents Event Type: Community Engagement Event Subject: Education,Global Engagement,Public Service/Government Event Sponsor Details: Computer Science Speaker Name: Ming Chow RSVP Information: https://forms.gle/NQzkMkeManXXq91Z9 Event Contact Name: Ming Chow Event Contact Email: ming.chow@tufts.edu Event Contact Phone: 617-627-2225 This is a two-hour workshop day on cybersecurity where people can learn from Tufts University faculty, students, community, and industry leaders, in short sessions. This workshop day coincides with National Cybersecurity Awareness Month. Each workshop will provide tangible knowledge that can be used immediately. This community workshop is a partnership between the Department of Computer Science and Tisch College. This event is free and open to the public. Neighbors, community partners, and small business owners in Medford, Somerville, and Boston are welcome to attend. Registration is required.
- Oct 2112:00 PMDrop-In Journaling at Goddard ChapelBuilding: Goddard Chapel City: Medford, MA 02155 Campus: Medford/Somerville campus Wheelchair Accessible: Yes Open to Public: No Event Subject: Religion/Spirituality Event Sponsor: Tufts University RSVP Information: Tufts University Journaling can be a rich spiritual practice but in our busy days, it can be hard to find time and space to sit down with pen and paper. This drop-in space offers just that—a judgement-free zone where you can drink tea, nibble a snack, and see where the pen takes you. Weekly prompts will be provided but feel free to use this time as you see fit. For students, faculty, and staff, starting September 9.
- Oct 2112:00 PMStanislav Stanskikh: Political Repression in RussiaCampus: Medford/Somerville campus Location Details: Fletcher Russia & Eurasia Program 114 Curtis Street, Somerville MA Open to Public: Yes Stanislav Stanskikh: Political Repression in Russia—From Forced Mobilization to the Persecution of Navalny’s Supporters and Jehovah’s Witnesses Stanskikh will frame the conversation around the current state of political repression in Russia and how the country’s system of political control has evolved during the war—from forced mobilization and the criminalization of Navalny’s supporters to the ongoing persecution of Jehovah’s Witnesses. He will examine the tools of repression used by the Russian government to suppress dissent and enforce ideological conformity. In addition, Stanskikh will share his experience as an expert witness in U.S. immigration courts, offering insight into how U.S. adjudicators approach Russian country conditions in asylum proceedings. He will also discuss the current position of the U.S. Department of State on human rights practices in Russia, situating his analysis within the broader international understanding of the country’s political climate. Stanislav Stanskikh is an expert on Russia’s constitutional system, human rights practices, and political repression. Affiliated with Harvard’s Davis Center and the University of North Carolina Center for Slavic, Eurasian and East European Studies, he has combined his academic work with expert testimony on Russian country conditions in asylum cases before USCIS and U.S. immigration courts. Over the years, his research has focused on the mechanism of political repression in the USSR and contemporary Russia; evolution of Russia’s constitutional system, including its origins, model of justice, separation of powers, and federalism; as well as on the assessment of Russian legislation and practice of its implementation by international organizations, such as the Council of Europe’s Venice Commission and the European Court of Human Rights.
- Oct 2112:00 PMTufts in Paris: Info Session (Virtual)Learn about Tufts in Paris from the program director and Tufts Global Education staff.
- Oct 2112:00 PMUsing Large Language Model Annotations for the Social SciencesBuilding: Cabot Intercultural Center City: Medford, MA 02155 Campus: Medford/Somerville campus Location Details: Cabot 702 Open to Public: Yes Link: https://forms.office.com/r/1DA2DnC1rz Today, social scientists increasingly rely on automated tools—like supervised machine learning and, more recently, large language models (LLMs)—to analyze vast amounts of text. For example, these tools can help classify whether a political speech promotes nationalism or detect misinformation in international news. But there is a catch: even when these automated methods are “highly accurate” (e.g., accuracy is more than 90%), the small share of mistakes can distort the final research findings if we treat the machine-generated outputs as error-free. In this talk, Naoki Egami introduces a framework called design-based supervised learning (DSL) that addresses this problem. DSL combines the power of automated annotation with a modest amount of careful human coding by experts. The method uses a doubly robust strategy, ensuring that even when prediction errors are not random, the overall statistical conclusions remain valid. In sum, DSL lets researchers take advantage of cutting-edge tools like LLMs while still producing reliable evidence for policymaking and social science. Egami illustrates the framework with two examples where both the key outcome and the main explanatory variables come from text data. Naoki Egami is an Associate Professor in the Department of Political Science at the Massachusetts Institute of Technology and a faculty affiliate of the Institute for Data, Systems, and Society (IDSS) at MIT. Egami specializes in political methodology and developing statistical methods for questions in political science and the social sciences. Specifically, he works on causal inference and machine learning methods.