Events

June 08, 2020

Solving Global Grand Challenges with High Performance Data Analytics

David A. Bader

New Jersey Institute of Technology

Part Of

Fast Code Seminar 2019

2:00P

- 3:00P

Location

https://mit.zoom.us/j/536883569 Password 008943

https://mit.zoom.us/j/536883569 Password 008943

Add to Calendar 2020-06-08 14:00:00 2020-06-08 15:00:00 America/New_York Solving Global Grand Challenges with High Performance Data Analytics Abstract:Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community structure in large social networks; protecting our elections from cyber-threats, and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale often raises new challenges because of the sparsity and lack of locality in the data, the need for research on scalable algorithms and architectures, and development of frameworks for solving these real-world problems on high performance computers, and for improved models that capture the noise and bias inherent in the torrential data streams. In this talk, Bader will discuss the opportunities and challenges in massive data science for applications in social sciences, physical sciences, and engineering.Biography:David A. Bader is a Distinguished Professor in the Department of Computer Science at New Jersey Institute of Technology. Prior to this, he served as founding Professor and Chair of the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology. He is a Fellow of the IEEE, AAAS, and SIAM, and advises the White House, most recently on the National Strategic Computing Initiative (NSCI). Bader serves on the leadership team of Northeast Big Data Innovation Hub as the inaugural chair of the Seed Fund Steering Committee. Dr. Bader is a leading expert in solving global grand challenges in science, engineering, computing, and data science. His interests are at the intersection of high-performance computing and real-world applications, including cybersecurity, massive-scale analytics, and computational genomics, and he has co-authored over 250 scholarly papers. Dr. Bader has served as a lead scientist in several DARPA programs including High Productivity Computing Systems (HPCS) with IBM, Ubiquitous High Performance Computing (UHPC) with NVIDIA, Anomaly Detection at Multiple Scales (ADAMS), Power Efficiency Revolution For Embedded Computing Technologies (PERFECT), Hierarchical Identify Verify Exploit (HIVE), and Software-Defined Hardware (SDH). Bader is Editor-in-Chief of the ACM Transactions on Parallel Computing, and will serve as General Co-Chair of IPDPS 2021. He has also served as Director of the Sony-Toshiba-IBM Center of Competence for the Cell Broadband Engine Processor. Bader is a cofounder of the Graph500 List for benchmarking "Big Data" computing platforms. Bader is recognized as a "RockStar" of High Performance Computing by InsideHPC and as HPCwire's People to Watch in 2012 and 2014. Recently, Bader received an NVIDIA AI Lab (NVAIL) award (2019), and a Facebook Research AI Hardware/Software Co-Design award (2019). https://mit.zoom.us/j/536883569 Password 008943 Belfer sarah_donahue@hks.harvard.edu

June 09, 2020

Private Event

A Multi-Risk SIR Model with Optimally Targeted Lockdown

Daron Acemoglu

Part Of

Hot Topics in Computing

2:00P

- 3:00P

Location

virtual via Zoom

Add to Calendar 2020-06-09 14:00:00 2020-06-09 15:00:00 America/New_York A Multi-Risk SIR Model with Optimally Targeted Lockdown Zoom accessible to MIT community members with Touchstone authentication: https://mit.zoom.us/j/97293316637Abstract:We develop a multi-risk SIR model (MR-SIR) where infection, hospitalization and fatality rates vary between groups—in particular between the “young”, “the middle aged” and the “old”. Our MR-SIR model enables a tractable quantitative analysis of optimal policy similar to those already developed in the context of the homogeneous agent SIR models. For baseline parameter values for the COVID-19 pandemic applied to the US, we find that optimal policies differentially targeting risk/age groups significantly outperform optimal uniform policies and most of the gains can be realized by having stricter lockdown policies on the oldest group. Intuitively, a strict and long lockdown for the most vulnerable group both reduces infections and enables less strict lockdowns for the lower-risk groups. We also study the impacts of social distancing, the matching technology, the expected arrival time of a vaccine, and testing with or without tracing on optimal policies. Overall, targeted policies that are combined with measures that reduce interactions between groups and increase testing and isolation of the infected can minimize both economic losses and deaths in our model.Bio:Daron Acemoglu an Institute Professor at MIT and an elected fellow of the National Academy of Sciences, the Turkish Academy of Sciences, the American Academy of Arts and Sciences, the Econometric Society, the European Economic Association, and the Society of Labor Economists.He is the author of five books, including Why Nations Fail: Power, Prosperity, and Poverty and The Narrow Corridor: States, Societies, and the Fate of Liberty (both with James A. Robinson). His academic work covers a wide range of areas, including political economy, economic development, economic growth, inequality, labor economics and economics of networks.Daron Acemoglu has received the inaugural T. W. Shultz Prize from the University of Chicago in 2004, and the inaugural Sherwin Rosen Award for outstanding contribution to labor economics in 2004, Distinguished Science Award from the Turkish Sciences Association in 2006, the John von Neumann Award, Rajk College, Budapest in 2007, the Carnegie Fellowship in 2017, the Jean-Jacques Laffont Prize in 2018, and the Global Economy Prize in 2019. He was awarded the John Bates Clark Medal in 2005, the Erwin Plein Nemmers Prize in 2012, and the 2016 BBVA Frontiers of Knowledge Award. He holds Honorary Doctorates from the University of Utrecht, the Bosporus University, University of Athens, Bilkent University, the University of Bath, the Ecole Normale Superieure, Saclay Paris, and the London Business School. Belfer sarah_donahue@hks.harvard.edu

November 18, 2020

Save the Date: AI and the Work of the Future Congress 2020

MIT CSAIL, MIT Work of the Future Task Force, MIT IDE

8:00A

- 5:00P

Location

Building W16: Kresge Auditorium

Add to Calendar 2020-11-18 8:00:00 2020-11-18 17:00:00 America/New_York Save the Date: AI and the Work of the Future Congress 2020 The MIT Computer Science and Artificial Intelligence Lab (CSAIL), MIT Work of the Future (WOTF), MIT Initiative on the Digital Economy (IDE) present the MIT AI & the Work of the Future Congress.The AI age is here, transforming work and the skills required for humans to thrive. Join us as we gather leading academics, business leaders, entrepreneurs, education and labor leaders, and policy makersto explore the impact and future trends of technological disruption, rethink the nature of work, and chart a course for catalyzing innovation for inclusion and economic opportunity for all.Join MIT on November 18 to explore, rethink, and chart a course for the work of the future.The remarkable progression of technological innovation is ushering in a new era of unprecedented health, convenience, and prosperity. But the machines imbued with human and superhuman capabilities also bring a flood of collective uncertainty and anxiety about the impact on work and economies. How can we create a future of work that complements and augments human potential while contributing to shared economic prosperity?To help us understand and meet this grand challenge, three of MIT’s most innovative, future-focused initiatives have joined forces to present the MIT AI & the Work of the Future Congress. This year’s Congress will convene the leaders and visionaries on the front line that are: Rigorously measuring technological impact on enterprises, governments, and societies Generating solutions for organizations and policymakers that are working today Crafting strategies and guidelines for the futureMIT believes the challenge of building an equitable and prosperous future of work is an urgent imperative. The question we should be asking ourselves at this historic moment isn’t “what is technology going to do to our economy and society,” but rather “what will we do with technology?” Audience participation and break out sessions will be available.Don’t miss the opportunity to meet the leaders reinventing the work of the future and to engage in this important conversation.Registration information will be available soon. Members of the MIT community can reach out to alliances@csail.mit.edu for ticket information. Building W16: Kresge Auditorium Belfer sarah_donahue@hks.harvard.edu