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DTSTART;TZID=Europe/Oslo:20260904T100000
DTEND;TZID=Europe/Oslo:20260904T120000
DTSTAMP:20261006T162052
CREATED:20260825T092058Z
LAST-MODIFIED:20260904T080458Z
UID:23244-1788516000-1788523200@mediafutures.no
SUMMARY:Talks & Panel Event: From Memes to Mass Movements: How India's Gen Z is Shaping the Future
DESCRIPTION:CANCELLED / POSTPONED\nUnfortunately\, our joint event with Det Moderne India has been postponed at short notice. \nOur main speaker\, Saurav Das of the Cockroach Janta Party movement\, is no longer able to join us due to recent political developments in India. A second speaker has also had to withdraw. \nAt the heart of this event is the exchange between voices from inside the movement and researchers working across media\, technology and political science. We therefore want to bring the conversation back when this exchange can take place as intended. \nWe are working on a new date and will share more information as soon as possible. Everyone who has registered for the event will be notified directly. \nStay tuned for a new date. \n MediaFutures × Det Moderne India\nWelcome to our joint event:India’s Digital Generation: From Memes to Mass Movements \nWhat happens when memes turn into a mass movement?\nIn India\, a new generation is finding its own ways to speak up\, organise and challenge established politics. The Cockroach Janta Party grew from digital satire and memes among Gen Z into a large protest movement – bringing questions of unemployment\, education and political accountability from social media into the streets. \nOn October 2\, MediaFutures and The Modern India (Det Moderne India) bring together an exceptional group of researchers and voices to explore what this tells us about the changing relationship between media\, technology\, political communication and democracy. \nWe are especially excited to welcome Saurav Das\, Chief Spokesperson of the Cockroach Janta Party\, joining us directly from India. \nHe will be joined by Rina Sunder\, Anwesha Dutta\, Siri Gloppen\, Özlem Demirkol-Tønnesen\, Manisha Pathak-Shelat and Chris Senf\, Ph.D.\, for talks and a panel discussion.From Memes to Mass Movements: How India’s Gen Z is Shaping the Future \nJoin us in Bergen (SFI MediaFutures\, Media City Bergen)Or join online More information & registration ↓ \n \nTentative event timeline \nFriday\, 4. September\n\n\n\nTime\nProgram\nDetails\n\n\n\n\n10:15\nWelcome\nChristopher Senf & Rina Sunder (SFI MediaFutures & Det Moderne India)\n\n\n10:20\nSetting the scene\nRina Sunder (Det Moderne India)\n\n\n10:30\nInside the Movement\nSaurav Das (Chief spokesperson of Cockroach Janta Party) /Online\n\n\n11:00\nTitle TBA\n Manisha Pathak-Shelat\, Associate Professor\, University of Wisconsin-Madinson /Recorded\n\n\n11:05\nWeapon & Shields: Law and protest movements in India\nSiri Gloppen\, Professor\, Department of Government (UiB)\n\n\n11:15\nPlayful\, Subversive\, Vernacular: Language of dissent and protest in a digital world\nOzlem Demirkol Tønnesen\, Postdoc Research Fellow\, Department of Infomedia (UiB)\n\n\n11:25\nMillennial with Gen Z: From the India We Inherited to the India We Imagine!!\nAnwesha Dutta\, Senior Researcher\, Chr. Michelsen Institute (UiB)\n\n\n11:35\nPanel Debate\nSaurav Das\, Siri Gloppen\, Ozlem Demirkol Tønnesen and Anwesha DuttaModerated by Christopher Senf\n\n\n11:55\nClosing\n\n\n\n\n\n\n\n\n\nLink to the event.  \nJoin on Zoom. \n 
URL:https://mediafutures.no/event/indias-digital-generation-from-memes-to-mass-movements/
LOCATION:SFI MediaFutures\, MCB
CATEGORIES:Events
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DTSTART;TZID=Europe/Oslo:20260912T111000
DTEND;TZID=Europe/Oslo:20260912T121000
DTSTAMP:20261006T162052
CREATED:20260811T093805Z
LAST-MODIFIED:20260813T080846Z
UID:23212-1789211400-1789215000@mediafutures.no
SUMMARY:PYData Seminar: Stop Early\, Decide Smarter: Bayesian Sequential Testing for LLM Benchmarking
DESCRIPTION:Ryan Marinelli will be holding a tutorial at PyData\, Amsterdam. \nEvaluating large language models is expensive. Standard benchmarking practices run fixed numbers of trials regardless of how quickly signal emerges\, wasting compute when differences are obvious and under-sampling when they are subtle. \nThis talk introduces Bayesian sequential stopping rules as a principled alternative. Rather than committing to a sample size upfront\, sequential methods continuously update a posterior over model performance and halt evaluation once sufficient evidence has accumulated\, or once further sampling is unlikely to change the conclusion. \nWe walk through the statistical foundations\, show how this framework applies to common benchmarking scenarios (accuracy comparisons\, pass@k\, agent task completion)\, and demonstrate a practical open-source Python implementation attendees can use immediately. Real benchmark datasets are used throughout to ground the approach. \nAudience: ML engineers\, researchers\, and data scientists who run model evaluations and care about making reliable comparisons without burning unnecessary compute. \nTakeaways: A conceptual understanding of sequential testing\, practical guidance on when and how to apply it\, and a working tool to take home. \nFixed-sample benchmarking is the default in NLP and LLM evaluation\, but it has two failure modes: it over-runs when models are clearly different early on\, and under-runs when tight comparisons require more evidence than the budget allows. Sequential hypothesis testing\, long standard in clinical trials and A/B testing\, offers a cleaner framework: keep sampling until a decision threshold is crossed\, or until a maximum budget is exhausted. \nThis talk applies that framework specifically to LLM and agent benchmarking and covers: \n\nThe statistical case: Why pass@k evaluation is often wasteful\, and what sequential Bayes factors and posterior stopping criteria offer instead\nDesign choices: Prior elicitation\, stopping thresholds\, and how to handle multi-model comparisons without inflating error rates\nPractical implementation: A walkthrough of a pip-installable Python package built on this framework\nLimitations and scope: When sequential testing helps\, when it doesn’t\, and how to sanity-check results\n\nThe talk is self-contained; attendees need only basic familiarity with probability and Python. \nOutline (30 min):\nMotivation: the cost of fixed-N benchmarking — 5 min\nSequential testing foundations (Bayes factors\, stopping rules) — 8 min\nDemo: the Python package on real benchmark data — 10 min\nDesign guidance\, edge cases\, and Q&A — 7 min
URL:https://mediafutures.no/event/pydata-seminar-stop-early-decide-smarter-bayesian-sequential-testing-for-llm-benchmarking/
LOCATION:NDSM-Plein 85 1033 WC Amsterdam\, NDSM-Plein 85 1033 WC Amsterdam\, Netherlands
CATEGORIES:Events
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