[x3d-public] Fwd: [Junk] VIP Reminder: April 30 Talk on Responsible Data Use with ACM Fellow Jeannette Wing

Wed Apr 22 09:10:05 PDT 2020

Of general interest to multiple X3D application areas.

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Subject: 	[Junk] VIP Reminder: April 30 Talk on Responsible Data Use with ACM Fellow Jeannette Wing
Date: 	Wed, 22 Apr 2020 12:02:09 -0400
From: 	ACM Learning Center <learning at acm.org>
To: 	(No Name Available) <brutzman at NPS.EDU>

ACM Bulletin
ACM TechTalks <https://learning.acm.org/techtalks>

April 22, 2020

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*VIP Reminder: April 30 Talk on Responsible Data Use with ACM Fellow Jeannette Wing*
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You are receiving this email because you registered for a previous ACM TechTalk. As such, we consider you a TechTalk VIP.

If you haven't done so already, register now <https://webinars.on24.com/acm/wing?partnerref=vip> for the next free ACM TechTalk, *"Data for Good: Ensuring the Responsible Use of Data to Benefit Society,"* presented on *April 30 at 12:00 PM ET/9:00 AM PT* by *Jeanette Wing*, Director of the Data Science Institute at Columbia University and ACM Fellow. *Paul Leidig*, Professor and Director of the School of Computing and Information Systems at Grand Valley State University, and Co-Chair of the ACM Data Science Task Force, will moderate the questions and answers session following the talk.

Leave your comments and questions with our speaker now and any time before the live event on ACM's Discourse Page <https://on.acm.org/t/data-for-good-ensuring-the-responsible-use-of-data-to-benefit-society/1629>. And check out the page after the webcast for extended discussion with your peers in the computing community, as well as further resources on data science and responsible use of data.

(/If you'd like to attend but can't make it to the virtual event, you still need to register to receive a recording of the TechTalk when it becomes available/.)

_/Note/_: You can stream this and all ACM TechTalks on your mobile device, including smartphones and tablets.

Every field has data. We use data to discover new knowledge, to interpret the world, to make decisions, and even to predict the future. The recent convergence of big data, cloud computing, and novel machine learning algorithms and statistical methods is causing an explosive interest in data science and its applicability to all fields. This convergence has already enabled the automation of some tasks that better human performance. The novel capabilities we derive from data science will drive our cars, treat disease, and keep us safe. At the same time, such capabilities risk leading to biased, inappropriate, or unintended action. The design of data science solutions requires both excellence in the fundamentals of the field and expertise to develop applications which meet human challenges without creating even greater risk.

The Data Science Institute at Columbia University promotes "Data for Good": using data to address societal challenges and bringing humanistic perspectives as–not after–new science and technology is invented. Started in 2012, the Institute is now a university-level institute representing over 350 affiliated faculty from 16 different schools and institutes across campus. Data science literally touches every corner of the university.

In this talk, I will present the mission of the Institute and highlights of our educational and research activities–all with the aim of ensuring the responsible use of data to benefit society.

*Duration*: 60 minutes (including audience Q&A)

_*Presenter*:_
*Jeannette M. Wing*, /, Director of Data Science Institute, Columbia University; ACM Fellow/
Jeannette M. Wing is Avanessians Director of the Data Science Institute and Professor of Computer Science at Columbia University. Previously, she was a Corporate Vice President of Microsoft Research. She is Adjunct Professor of Computer Science at Carnegie Mellon where she twice served as the Head of the Computer Science Department. From 2007-2010 she was the Assistant Director of the Computer and Information Science and Engineering Directorate at the National Science Foundation.

Professor Wing's general research interests are in the areas of trustworthy computing, specification and verification, concurrent and distributed systems, programming languages, and software engineering. Her current interests are in the foundations of security and privacy, with a new focus on trustworthy AI. She was or is on the editorial board of 12 journals, including the Journal of the ACM and Communications of the ACM. Professor Wing is known for her work on linearizability, behavioral subtyping, attack graphs, and privacy-compliance checkers. Her 2006 seminal essay, titled "Computational Thinking," is credited with helping to establish the centrality of CS to problem-solving in fields where previously it had not been embraced.

Professor Wing is currently a member of numerous academic, government, and industry advisory boards and technical committees, and in the past has been chair and/or a member of many others. She received the CRA Distinguished Service Award in 2011 and the ACM Distinguished Service Award in 2014. She is a Fellow of the American Academy of Arts and Sciences, American Association for the Advancement of Science, the Association for Computing Machinery (ACM), and the Institute of Electrical and Electronic Engineers (IEEE).

_*Moderator*:_
*Paul M. Leidig*, /Professor and Director, School of Computing and Information Systems, Grand Valley State University, Co-Chair of the ACM Data Science Task Force/
Paul Leidig is Professor and Director of the School of Computing and Information Systems at Grand Valley State University. Leidig holds several positions of leadership in computing boards and organizations, including the Computing Sciences Accreditation Board (CSAB), the Association of Computing Machinery (ACM) Education Advisory Committee, and was a Commissioner on the Computing Accreditation Commission of ABET. Leidig currently serves as chair of the CSAB Criteria Committee, co-chair of the ACM Data Science Taskforce, co-chair of the Information Systems 2020 Curriculum Taskforce, and the Computing Curricula 2020 Report group. He is a past-president of the Association of Information Technology Professionals (AITP) Education Special Interest Group (EDSIG), and was named an EDSIG Fellow. In addition, he serves as Grand Valley's Faculty Athletics Representative to the National Collegiate Athletics Association (NCAA), served as the chair of the NCAA Academic Requirements
Committee, and a member of the NCAA DII Management Council. He began his career over 40 years ago as the data processing director of a regional hospital. His academic career includes serving eight years on the faculty of James Madison University prior to joining Grand Valley State University in 1991. He teaches courses on the management of information systems and information systems policy, and has authored several textbooks on database systems and applications. Each summer he leads a study-abroad program in Switzerland. Leidig received his PhD from Virginia Commonwealth University, MBA from James Madison University, and BS from Eastern Mennonite University.

Visit *learning.acm.org/techtalks-archive <https://learning.acm.org/techtalks-archive>* for our full archive of past TechTalks.

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all the best, Don
-- 
Don Brutzman  Naval Postgraduate School, Code USW/Br       brutzman at nps.edu
Watkins 270,  MOVES Institute, Monterey CA 93943-5000 USA   +1.831.656.2149
X3D graphics, virtual worlds, navy robotics http://faculty.nps.edu/brutzman