Building: 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.

Learn about Tufts in Paris from the program director and Tufts Global Education staff.

Building: 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.

Online Location Details: Tufts University School of Medicine Building: Tufts Center for Medical Education City: Boston, MA 02111 Location Details: 145 Harrison Ave., first floor Boston, MA 02111 Wheelchair Accessible: Yes Open to Public: Yes Primary Audience: Alumni and Friends,Faculty,Interns and Residents,Postdoctoral Fellows,Staff,Students (Graduate),Students (Postdoctoral),Students (Undergraduate) Event Type: Conference/Panel Event/Symposium,Lecture/Presentation/Seminar Event Subject: Business,Clinical Care,Engineering/Technology,Health/Wellness,Innovation,Medicine,Research,Science Event Sponsor Details: Tufts CTSI RSVP Information: https://airtable.com/appWk1nJxJp9lKvfc/pagTct0TqzwabynIS/form Admission/Cost: Free Event Contact Name: Erin Gibson Event Contact Email: erin.gibson@tuftsmedicine.org Link: https://www.tuftsctsi.org/innovate2impact/ Do you have an idea or solution to a health or healthcare problem? Accelerate your drug, device, biologic, behavioral health intervention, or other innovation to the next level! Innovate2Impact is designed to propel your health-related innovation or idea through the next steps. Join us to showcase your early-stage concept or well-tested design, receive input from innovation experts, industry leaders, and clinical specialists, build collaborations, and explore funding opportunities. This four-part program is open to both emerging and experienced investigators working on health-related innovations. The series kicks off on Tuesday, October 21 with an Innovation Expo. The expo will showcase a variety of health-related innovations grounded in research, and teams developing innovations, investors, and anyone interested in improving health and healthcare are encouraged to attend. Emerging and experienced researchers may also submit abstracts via the registration link to participate in the lightning talks or poster session to gain valuable connections and potential funding opportunities.

Building: Aidekman Arts Center City: Medford, MA 02155 Campus: Medford/Somerville campus Location Details: Alumnae Lounge Open to Public: No Primary Audience: Faculty Event Sponsor: Office of the Provost RSVP Information: https://tufts.qualtrics.com/jfe/form/SV_0ApT2n02xBvtt1I Link: https://provost.tufts.edu/faculty-engagement/ Please join Provost Caroline Genco for the Fall Faculty Reception.

Building: Dowling Hall City: Medford, MA 02155 Campus: Medford/Somerville campus Location Details: Millmore Room 740P Open to Public: No Engage with TGE and returned study abroad students in a dialogue about race and ethnicity and how they factor into the education abroad experience! Food will be provided, so please register in advance for an accurate catering order.