Live Session: Digital Technologies, Elections and Democracy in times of COVID-19

The video of the live session can be found here. Politics has now caught up with digitalization, but policy is still lagging behind. How can we improve electoral governance in the COVID-19 era? How can we hold electoral processes in the COVID-19 era while...

Science vs. Data: Contesting the Soul of Data Science

“Science vs. Data: Contesting the Soul of Data Science” is a talk of Professor Judea Pearl, given on July 30, 2020.  

How to Think Like an Epidemiologist

The original article can be found here.   How to Think Like an Epidemiologist Don’t worry, a little Bayesian analysis won’t hurt you. By Siobhan Roberts   There is a statistician’s rejoinder — sometimes offered as wry criticism,...

World Leadership Alliance-Club de Madrid and the Boston Global Forum co-organize Online AIWS Roundtable on Digital Technologies, Elections and Democracy in times of COVID-19

Time: 9:00 am, EST, August 5, 2020 Speakers: Professor Thomas Patterson, Harvard University, Research Director of Michael Dukakis Institute, Co-founder of AIWS.net Marc Rotenberg, Director of Center for AI and Digital Policy (CAIDP) at Michael Dukakis...

MIT Professor in History, Theory, and Criticism of Architecture joins the Board of the History of AI

Professor Caroline A. Jones, MIT, has joined the History of AI Board at AIWS.net.She is a Professor in History, Theory, and Criticism of the Architecture Department at MIT. She wrote a chapter of the book “Possible Minds: 25 Ways of Looking At AI”...

Ambassador Ichiro Fujisaki calls for leadership of the US in the world

There were recommendations and suggestions from this conference to establish alliances to protect and strengthen democracy to face threats that undermine democracy and threats from China. In July, there were statements and speeches of leaders echoing...

Probabilistic Programming and Bayesian Inference for Time Series Analysis and Forecasting in Python

The original article can be found here at Towards Data Science Probabilistic Programming and Bayesian Inference for Time Series Analysis and Forecasting in Python: A Bayesian Method for Time Series Data Analysis and Forecasting in Python – by Yuefeng...

Radical Empiricism and Machine Learning Research

A speaker at a lecture that I have attended recently summarized the philosophy of machine learning this way: “All knowledge comes from observed data, some from direct sensory experience and some from indirect experience, transmitted to us either culturally...

United Nations 2045 Initiative – Building a Trustworthy Economy

Dr. Ramu Damodaran, Chief of United Nations Academic Impact, chaired and moderated a fascinating UN 2045 Roundtable on July 24, 2020. Alex Pentland, Professor of MIT Connection Science, Co-founder of AIWS.net, presented a new model, term: The Trustworthy...