The Decision Sciences Institute (DSI) is a professional association of university professors, graduate students, and practitioners whose interest lies in the application of quantitative research and qualitative research to the decision problems of individuals, organizations, and society. Many of the members of this academic organization are faculty members in business schools. The DSI currently is hosted in the C.T. Bauer College of Business at the University of Houston. Members of the Institute share their research findings at DSI's Annual Meeting (DSI's main academic conference), international DSI meetings, or regional conferences. The Decision Sciences Institute also publishes two journals and hosts annual award competitions for contributions to innovation education, the best case study, and best doctoral dissertation. In addition, the Institute offers job placement services, doctoral student and new faculty consortia, and a variety of professional development activities. (Wikipedia).
What is The Alan Turing Institute?
Take a look at what it means to be the national institute for data science and artificial intelligence (AI). From tackling cutting edge, real-world challenges to training the next generation of leaders in data science and AI. Find out more at turing.ac.uk About the Turing The Alan Turing
From playlist About the Turing
Decision trees are powerful and surprisingly straightforward. Here's how they are grown. Code: https://github.com/brohrer/brohrer.github.io/blob/master/code/decision_tree.py Slides: https://docs.google.com/presentation/d/1fyGhGxdGcwt_eg-xjlMKiVxstLhw42XfGz3wftSzRjc/edit?usp=sharing PERM
From playlist Data Science
01 Decision analysis as a science
Introduction to decision making under uncertainty
From playlist QUSS GS 260
Better Decisions with Machine Learning - Peter Flach
About the conference: The 1st International ‘Turing’ conference on decision support and recommender systems will bring together junior and experienced researchers, industry professionals and domain experts to discuss latest trends and ongoing challenges in: - Human and AI-driven complex
From playlist 1st International conference on decision support and recommender systems
A hybrid decision making system using image analysis to detect human falls - Pingfan Wang
About the conference: The 1st International ‘Turing’ conference on decision support and recommender systems will bring together junior and experienced researchers, industry professionals and domain experts to discuss latest trends and ongoing challenges in: - Human and AI-driven complex
From playlist 1st International conference on decision support and recommender systems
Decision making model based on expert evaluations - Cristina Zuheros Montes
About the conference: The 1st International ‘Turing’ conference on decision support and recommender systems will bring together junior and experienced researchers, industry professionals and domain experts to discuss latest trends and ongoing challenges in: - Human and AI-driven complex
From playlist 1st International conference on decision support and recommender systems
AI For Decision Making : Business Strategies And Applications Program | Enroll Now | Simplilearn
This AI program with Wharton Online gives you a competitive edge in emerging business technologies. The AI program delivers a foundational understanding of today’s top technologies, including big data, AI, and machine learning, and how you can use them to support your organization’s strate
From playlist AI & Machine Learning | Ronald Van Loon [2022 Updated]
Value of Information in the Earth Sciences
Overview, narrated by Tapan Mukerji Eidsvik, J., Mukerji, T. and Bhattacharjya, D., 2015. Value of information in the earth sciences: Integrating spatial modeling and decision analysis. Cambridge University Press.
From playlist Uncertainty Quantification
Science, the fulcrum for social and economic change by K VijayRaghavan
KAAPI WITH KURIOSITY SCIENCE, THE FULCRUM FOR SOCIAL AND ECONOMIC CHANGE SPEAKER: K. VijayRaghavan (Principal Scientific Adviser to the Govt. Of India) WHEN: 4pm to 6pm Sunday, 14 October 2018 WHERE: J. N. Planetarium, Sri T. Chowdaiah Road, High Grounds, Bangalore RESOURCES: Scienc
From playlist Kaapi With Kuriosity (A Monthly Public Lecture Series)
Reforming the CDC and U.S. Public Health: Reflections from Former Directors of the CDC
Started in 1946 to prevent malaria from spreading across the United States, the mission of the Centers for Disease Control and Prevention (CDC) is to promote health and quality of life by preventing and controlling disease, injury, and disability. The COVID-19 pandemic has catapulted the C
From playlist YIGH Global Health Conversation Series
Q&A - The Science of Collaboration - with Uta and Chris Frith
How can scientific research be applied in the board room? Is the internet bringing us together or driving us apart? Chris and Uta Frith answer questions after their discourse. Subscribe for regular science videos: http://bit.ly/RiSubscRibe Watch the talk here: https://youtu.be/ONgGRIe5tAU
From playlist Ri Talks
Alasdair MacIntyre on the Sources of Unpredictability in Human Affairs (1972)
This lecture explicates an early form of the argument, developed in MacIntyre’s 1972 paper “Predictability and Explanation in the Social Sciences,” that becomes the central claim of chapter 8 of After Virtue. Namely, that generalizations in social science lack predictive power or value. Ma
From playlist Social & Political Philosophy
Artificial Intelligence for Military Use and National Security
Courtney Bowman (Privacy and Civil Liberties Team Lead, Palantir), Avril Haines (Former White House Deputy National Security Advisor; Former Deputy Director, CIA), and Mike Kaul (CEO in Residence, Defense Innovation Unit Experimental) join the Stanford teaching team, Rob Reich, Mehran Saha
From playlist POL 55: The Ethics of Technological Disruption: A Conversation with Silicon Valley Leaders and Beyond
Exigencies: From Impermanent Emergencies to Enduring Exceptions: Dahl’s Nightmare
Professor Katznelson is Ruggles Professor of Political Science and History at Columbia University. He is also a member of the American Academy of Arts and Sciences and the American Philosophical Society. Katznelson is a former president both of the American Political Science Association an
From playlist The MacMillan Center
(ML 11.2) Decision theory terminology in different contexts
Comparison of decision theory terminology and notation in three different contexts: in general, for estimators, and for regression/classification.
From playlist Machine Learning
Math, Finance & Decisions: Career Paths in Financial Services - Margaret Holen
Spring Opportunities Workshop 2023 Topic: Math, Finance & Decisions: Career Paths in Financial Services Speaker: Margaret Holen Affiliation: Princeton University Date: January 13, 2023 We face financial choices every day. From buying a morning coffee, to an online shopping errand in the
From playlist Spring Opportunities Workshop 2023
Exigencies: From Impermanent Emergencies to Enduring Exceptions: Negotiating the Rule of Law
Professor Katznelson is Ruggles Professor of Political Science and History at Columbia University. He is also a member of the American Academy of Arts and Sciences and the American Philosophical Society. Katznelson is a former president both of the American Political Science Association an
From playlist The MacMillan Center
The Arduous Path of Refugees in the Changing Landscape of Asylum | Didier Fassin
The Arduous Path of Refugees in the Changing Landscape of Asylum Didier Fassin, James D. Wolfensohn Professor, School of Social Science, Institute for Advanced Study http://www.ias.edu/people/faculty-and-emeriti/fassin April 3, 2013 An institution dating from antiquity whose formal reco
From playlist Social Science
Mod-01 Lec-34 From Schumpeter to neo Schumpetarian evolutionism
History of Economic Theory by Dr. Shivakumar, Department of Humanities and Social Sciences IIT Madras, For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Madras: History of Economic Theory | CosmoLearning.org Economics
(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning