MIT Institute for Data, Systems, and Society (IDSS)

“The skills I have learned are truly transformative. I can now analyze and extract insights from any data flow,” says Berthy Buah, Regional STMIE Coordinator at Ghana Education Service and a proud alumna of the Data Science and Machine Learning Program. Despite having no prior background in statistics or coding, Berthy successfully completed the program and is now committed to becoming a leading Data Scientist. If you, too, aspire to kickstart your journey in Data Science and Machine Learning, explore the details of our program through the link below.? https://bit.ly/4hVtJqb MIT Institute for Data, Systems, and Society (IDSS) #GreatLearning #UpskillNow #DataScience #MachineLearning #GreatLearningsGreaterStories #LearnWithGL

MIT and IBM researchers including IDSS faculty Faez Ahmed are creating linkage mechanisms to innovate human-AI kinematic engineering. https://bit.ly/4esRjHJ

Join us Wednesday, November 20th at 3:30pm at MIT (32-155) to hear Manufacturing@MIT Distinguished Speaker Dr. Arati Prabhakar’s talk, “The President's science and technology advisor on creating a better tomorrow.” She is Director of the White House Office of Science and Technology Policy (OSTP) and co-chair of the President’s Council of Advisors for Science and Technology (PCAST). She was director of the Defense Advanced Research Projects Agency (DARPA) from 2012 to 2017 and director of the National Institute of Standards and Technology (NIST) from 1993 to 1997. Register here: https://lnkd.in/eSu2vB4a

By sidestepping the need for costly interventions, a new method from researchers including IDSS faculty Caroline Uhler could potentially reveal gene regulatory programs, paving the way for targeted treatments. https://bit.ly/4hDnoj3

Our three-part machine learning challenge is live and the instructions and dataset for Crunch 1 have been released! Join now: broad.io/MLC-2024 To learn more about the biology, technology, and data backgrounds needed to participate in the competition, watch our lecture series: broad.io/MLC-2024-Lectures We need computational approaches to connect pathology images and spatial genomics measurements. You will develop algorithms that use the images of a tissue collected by a pathologist to infer the high-resolution view of tissue visible in spatial genomics: the cells and genes driving disease. We will use your models to predict genes that are markers of potential cancerous regions in the gut, and we will then perform experiments to test these predicted genes in patient samples. In Crunch 1, you will predict gene expression in spatial transcriptomics data from matched pathology images. Learn more and start the challenge: broad.io/MLC-2024 Eric and Wendy Schmidt Center, #KlarmanCellObservatory, Broad Institute of MIT and Harvard,?Crunch Lab, Foundry, Laboratory for Innovation Science at Harvard, MIT EECS, MIT Institute for Data, Systems, and Society (IDSS), Mass General Hospital Center for the Study of Inflammatory Bowel Disease #ML #MachineLearningCompetition #MLCompetition #DataScienceChallenge #AutoimmuneDiseases #IBD #CSIBD #Pathology #SpatialTranscriptomics #MLinBio

"Just as we need engineers who understand the principles behind bridges and power grids, we need individuals who can grasp the underlying concepts behind AI to truly leverage its potential.” - Devavrat Shah https://lnkd.in/e6uPNy6x

IDSS researchers in the MIT Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and health care. https://bit.ly/3NSptdh

Here’s what Scott Tranter of Decision Desk HQ wants Americans to know as the election approaches. Listen to the full conversation on MIT Data Nation Podcast! https://bit.ly/3ZM3ysx

How do campaigns target Americans? Scott Tranter of Decision Desk HQ discusses how campaign marketing strategies navigate a world of fast information on MIT Data Nation Podcast https://bit.ly/3ZM3ysx

How do new voters get information today? Learn more about Gen-Z media consumption and voting, alongside Scott Tranter of Decision Desk HQ, and John Della Volpe, director of polling at the Harvard Kennedy School, on MIT Data Nation Podcast. https://bit.ly/3ZM3ysx