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<p class="MsoNormal"><b><i><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpubsonline.informs.org%2Fpage%2Fijds%2Fcalls-for-papers&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7C638ea6e5cc3841a06bae08dd8bd0abd8%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638820450817900622%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=VoKNBSQObrEfcBwTgjX%2Fq6eUIRrnaZ1q5P%2FAQk4tUaI%3D&reserved=0" originalSrc="https://pubsonline.informs.org/page/ijds/calls-for-papers">INFORMS Journal on Data Science
<span style="font-style:normal">Special Issue on GenAI, Foundation Models, and Deep Learning with Applications to Business Analytics</span></a></span></i></b><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-CA" style="font-size:12.0pt;font-family:"Aptos",sans-serif">The rapid advancement of generative AI (GenAI), foundation models (large language models in particular), and deep learning more broadly has ushered in a new era
of data science, fundamentally transforming how organizations and individuals approach problem-solving and analytics. These tools can significantly enhance the capabilities of organizations and individuals in decision-making, problem-solving, and analytics.
These technologies are not only pushing the boundaries of what is possible in data science but also presenting remarkable opportunities and significant research challenges for the INFORMS community. This special issue seeks to explore the transformative potential
of GenAI, foundation models, large language models (LLMs) and deep learning across three key areas: (1)
</span><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Innovative applications in data science. (2) Understanding GenAI, LLMs, and Deep Learning in a practical context. (3) Societal impact and policy implications.<o:p></o:p></span></p>
<p class="MsoNormal"><b><i><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p> </o:p></span></i></b></p>
<p class="MsoNormal"><b><i><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:#0000CC">Although the guest editors are all from business schools, papers from engineering schools are also welcome</span></i></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:#0000CC">.<b><i><o:p></o:p></i></b></span></p>
<p class="MsoNormal"><b><i><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p> </o:p></span></i></b></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Submission<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">To be considered for the special issue on Generative AI, Foundation Models, and Deep Learning with Applications to Business Analytics, submit your manuscript online via<br>
</span><span lang="DE" style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmc.manuscriptcentral.com%2Fijds&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7C638ea6e5cc3841a06bae08dd8bd0abd8%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638820450817921191%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=E6Ow5D%2FcUoiXseq4IVKOgEqo5S6J6PF8PJDRMwj7bIY%3D&reserved=0" originalSrc="https://mc.manuscriptcentral.com/ijds"><span lang="EN-US">https://mc.manuscriptcentral.com/ijds</span></a></span><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">.
Select “</span><span lang="DE" style="font-size:12.0pt;font-family:"Aptos",sans-serif">Virtual Special Issue om GenAI etc. for Business Analytics</span><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">” as the manuscript type in Step 1. Manuscripts
will be assigned to one of the guest editors for this issue.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">The virtual special issue aims to provide timely outlets for innovative, cutting-edge research on the aforementioned topics and beyond. A paper submitted to the virtual special
issue will be processed right away, and accepted papers will be published in regular issues without delay. As such, authors are encouraged to submit as soon as they are ready. This virtual special issue will be an online collection of all these articles tied
together under a unifying editorial article for greater impact and outreach.<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Important Timelines<o:p></o:p></span></b></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="mso-list:l0 level1 lfo3"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Submission deadline
<b><span style="color:red">September 1, 2025</span></b>. Manuscripts will be reviewed as they are received.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo3"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">First round of decision by December 1, 2025.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo3"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Guest editors are committed to completing revision review within 60 days.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo3"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Maximum two rounds of revisions.<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l0 level1 lfo3"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">All final decisions are expected to be made by August 1, 2026.<o:p></o:p></span></li></ul>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Guest Editors<o:p></o:p></span></b></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="mso-list:l3 level1 lfo6"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Ahmed Abbasi, University of Notre Dame<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l3 level1 lfo6"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Ningyuan Chen, University of Toronto<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l3 level1 lfo6"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Xiaocheng Li, Imperial College London<o:p></o:p></span></li><li class="MsoNormal" style="mso-list:l3 level1 lfo6"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Xiao Liu, New York University<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span lang="EN-CA" style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p> </o:p></span></p>
</div>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p> </o:p></span></p>
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