[AISWorld] HICSS Symposium on Regulating Digital Innovation
Anna Essén
Anna.Essen at hhs.se
Thu Jun 1 13:42:04 EDT 2023
Hi all,
Welcome to join us on a symposium part of the 2024 HICSS conference<https://hicss.hawaii.edu/> on January 2-6 2024. The symposium 'Regulating digital innovation: policies, practices, and potentials' will take place on January 3. Please register here<https://hicss.hawaii.edu/registration/> from June 2023.
This symposium will build on and extend current conversations about regulation and digital technology in the IS field, including the recent special issue “Regulation in the Age of Digitalization” in the Journal of Information Technology (JIT) (forthcoming 2023). The symposium will be structured as follows:
09.00-09.30:
Opening Keynote by Alberto Gago Fernandes, International and EU Digital Affairs Advisor, Cabinet of the Secretary of State for Digital and AI
09.30-10.15:
Research and Involvement in IT and Regulatory Challenges with panelists including
* Kalle Lyytinen, Professor, Weatherhead School of Management, Case Western Reserve University
* Sirkka Jarvenpaa, Professor, McCombs School of Business, University of Texas at Austin
* Lauri Wessel, Professor, European New School of Digital Studies
* Paula deWitte, Professor of Practice, Texas A&M University as well as Licensed Attorney (Texas) and Registered Patent Attorney (US Patent and Trademark Office)
10.15-10.30:
Break
10.30-11.30:
Workshop on Scholary Action and Research: The Case of the Use of Robots/Drones in Response to the COVID Pandemic led by:
* Robin Murphy, Raytheon Professor of Computer Science and Engineering, Texas A&M University
* Paula deWitte, Professor of Practice, Texas A&M University as well as Licensed Attorney (Texas) and Registered Patent Attorney (US Patent and Trademark Office)
11.45-12.00:
Report back/integration
SWT Leaders:
Anna Essén (Primary Contact)
Stockholm School of Economics
Anna.essen at hhs.se<mailto:Anna.essen at hhs.se>
Paula S. deWitte
Texas A&M University
paula.dewitte at tamu.edu<mailto:paula.dewitte at tamu.edu>
Hannes Rothe
University of Duisburg-Essen
hannes.rothe at icb.uni-due.de<mailto:hannes.rothe at icb.uni-due.de>
Elizabeth Davidson
University of Hawaii at Manoa
edavidso at hawaii.edu<mailto:edavidso at hawaii.edu>
Robin Murphy
Texas A&M University
robin.r.murphy at tamu.edu<mailto:robin.r.murphy at tamu.edu>
More information here jhttps://www.hhs.se/en/research/research-houses/house-of-innovation/outreach/calendar/hicss-track/
Anna Essén, Elisabeth Davidson,
Anna Essén
Associate Professor, Handelshögskolan i Stockholm
Stockholm School of Economics
House of Innovation
My publications<https://www.researchgate.net/profile/Anna-Essen/publications>
Staff page<https://www.hhs.se/en/research/research-houses/house-of-innovation/our-people/-/anna-essen/>
One of my projects – about ignoring<https://youtu.be/fVcy0gXY0Xc>
Office: Norrtullsgatan 2, 2nd floor
113 29 Stockholm
+46 705 888 264
[cidimage001.png at 01D706A3.4EDA1530]
--
From: AISWorld <aisworld-bounces at lists.aisnet.org> on behalf of Mochen Yang <yang3653 at umn.edu>
Date: Friday, 26 May 2023 at 20:24
To: aisworld at lists.aisnet.org <aisworld at lists.aisnet.org>
Subject: [AISWorld] CFP for 2023 INFORMS Workshop on Data Science
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Dear AIS World,
My name is Mochen Yang and I'm an organizer for the 2023 INFORMS Workshop
on Data Science. Could you please help send the following message to
AISWorld subscribers? I'm also attaching the PDF version of the CFP just in
case it's easier to send that. Much appreciated!
-----Beginning of message-----
The 2023 INFORMS Workshop on Data Science
Hosted by The INFORMS College on Artificial Intelligence
Conference date: Saturday, October 14, 2023
Location: Phoenix, Arizona
Conference website: https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2Fdata-science-2023%2F&data=05%7C01%7Canna.essen%40hhs.se%7C1086a47d159b49ff2a5008db5e165039%7Cbb8ce15bd4e14149ad64662d32c03d02%7C0%7C0%7C638207222591178105%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=nDRL78XL907v71stAF1BsF0n7fGM3IUHuvGugjjXnDo%3D&reserved=0<https://sites.google.com/view/data-science-2023/>
The INFORMS Workshop on Data Science is a premier research conference
dedicated to developing data science theories, methods, and algorithms to
solve challenging problems and benefit businesses and society at large. The
workshop invites innovative data science research contributions that
address business and societal challenges from the lens of statistical
learning, data mining, machine learning, deep learning, reinforcement
learning, network science, and artificial intelligence. The workshop
welcomes original research addressing non-trivial data analytical
challenges and problems in marketing, finance, supply chain, healthcare,
energy, cybersecurity, social network services, privacy, credibility, etc.
Contributions to novel methods may be motivated by insightful observations
on the limitations of existing data science methods to address practical
challenges or by studying entirely new data science problems. Similarly,
novel techniques may be inspired based on the unique characteristics of a
particular application environment. Research contributions on theoretical
and methodological foundations of data science, such as optimization for
machine learning and new algorithms for data mining, are also welcome.
Research Contributions May Include:
-
Models for data science and predictive analytics
-
Performance measures in data science with important practical
implications
-
Computational methods for big data, text mining, and natural language
processing
-
Innovative methods for social network analytics on individuals and firms
-
Data acquisition, cleaning, integration, and best practices
-
Data-driven methods for cybersecurity and data privacy problems
-
Prediction of rare events, anomaly detection, and fraud detection
-
Methods for induction and inference with missing values
-
Data-driven methods for effective risk management
-
Data science for healthcare: chronic disease management, preventative
care, etc.
-
Data science for industrial applications: energy, education, finance,
supply chain, etc.
-
Large-scale recommendation systems and social media systems
-
Visual analytics for business data in image and video formats
-
Mobile analytics and spatial-temporal data mining
-
Experiences with big data project deployments
-
Machine learning, reinforcement learning, and AI for business
applications
-
Adaptation of emerging deep learning techniques, e.g., transformers,
graph embedding approaches for targeted business applications
-
Generative AI and its various impacts on individuals, organizations, and
societies.
Important Dates:
Paper Submission Open: May 19, 2023
Paper Submission Deadline June 30, 2023
Notification of Paper Acceptance: August 11, 2023
Early Registration Deadline (INFORMS early registration): August 31, 2023
Workshop Date: October 14, 2023
Information for Authors:
-
Conference submission website:
https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcmt3.research.microsoft.com%2FWDS2023&data=05%7C01%7Canna.essen%40hhs.se%7C1086a47d159b49ff2a5008db5e165039%7Cbb8ce15bd4e14149ad64662d32c03d02%7C0%7C0%7C638207222591178105%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=8uE1x6kljgzNcESDskVWP%2BYV9sdYRJ786gbdZzcgDks%3D&reserved=0<https://cmt3.research.microsoft.com/WDS2023>
-
Submissions in the form of complete papers or short papers are welcome.
-
Complete paper submissions should be a maximum of 10 pages, including
tables and figures.
-
Short paper submissions (which could be extended abstracts or
work-in-progress papers) should be a maximum of 5 pages, including tables
and figures.
-
References (irrespective of complete paper or short paper submissions)
do not count towards the page limit.
-
Use single-spaced text with 12-point font and one-inch margins on four
sides, printable on 8.5 x 11-inch paper.
-
Submissions must be blinded. No author information should appear
anywhere in the document.
-
INFORMS or Workshop on Data Science does not take ownership of paper
copyrights.
-
When uploading papers to the submission portal, the authors can indicate
whether or not the paper’s main contributor is a student (so as to be
considered for the best student paper award).
Student Scholarship:
We will provide a scholarship to some student authors or student co-authors
of accepted workshop papers. This scholarship will cover the registration
fees for the INFORMS meeting and the INFORMS Data Science Workshop. More
details will be provided upon paper acceptance notifications.
Best Paper Awards:
The INFORMS College on Artificial Intelligence, which hosts the Workshop on
Data Science, will be sponsoring three categories of awards: the best
complete paper, the best short paper, and the best student paper.
Opportunity for Invited Journal Submission:
Selected full papers on relevant topics will also be invited to submit the
extended abstract to the Special Issue of Responsible AI and Data Science
for Social Good at INFORMS Journal on Computing. Details of the special
issue call for papers can be found at INFORMS Journal on Computing
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpubsonline.informs.org%2Fpage%2Fijoc%2Fcalls-for-papers&data=05%7C01%7Canna.essen%40hhs.se%7C1086a47d159b49ff2a5008db5e165039%7Cbb8ce15bd4e14149ad64662d32c03d02%7C0%7C0%7C638207222591178105%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=p4aa2cIkLB2MmF%2BCqYcAFadL2K5%2FCB5oX8a54XENGOw%3D&reserved=0<https://pubsonline.informs.org/page/ijoc/calls-for-papers>> website.
Organizing Committee:
Honorary Chairs
Olivia Sheng, University of Utah
Alexander S. Tuzhilin, New York University
Conference Chairs
Jingjing Li, University of Virginia, jl9rf at virginia.edu
Xiao Liu, Arizona State University, xiao.liu.10 at asu.edu
Sagar Samtani, Indiana University, ssamtani at iu.edu
Program Chairs
Victor Benjamin, Arizona State University, Victor.Benjamin at asu.edu
Yingfei Wang, University of Washington, yingfei at uw.edu
Mochen Yang, University of Minnesota, yang3653 at umn.edu
Publicity Chairs
Konstantin Bauman, Temple University, tuh42084 at temple.edu
Dokyun (DK) Lee, Boston University, dokyun at bu.edu
Konstantina Valogianni, IE Business School, konstantina.valogianni at ie.edu
Junjie Wu, Beihang University, wujj at buaa.edu.cn
Local Chairs
Reihane Boghrati, Arizona State University, reihane.boghrati at asu.edu
Katsiaryna (Katja) Siamionava, Arizona State University,
katsiaryna.siamionava at asu.edu
Finance Chair
Brent Kitchens, University of Virginia, bmk2a at comm.virginia.edu
Webmaster
Liben Chen, University of Minnesota, chen7954 at umn.edu
------------End Message-------------
--
Mochen Yang
Assistant Professor
Department of Information and Decision Sciences
Carlson School of Management
University of Minnesota
Webpage: mochenyang.github.io
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