<div dir="ltr"><div class="gmail_quote"><div dir="ltr" class="gmail_attr"><span style="background-color:rgb(254,255,255);color:rgb(0,0,0);font-family:Arial;white-space:pre-wrap">**Apologies for cross-posting**</span><br></div><div dir="ltr"><div><span style="color:rgb(0,0,0);font-family:Arial;white-space:pre-wrap;background-color:rgb(254,255,255)"><br></span></div><div><b>BHCC 2022 - Call For Papers</b></div><div><font face="arial, sans-serif" style="font-style:italic">The Fourth Symposium On Biases In Human Computing And Crowdsourcing (</font><a href="https://bhcc2022.org/" style="font-style:italic" target="_blank">https://bhcc2022.org/</a><span style="font-family:arial,sans-serif"><i>) will take place in Rome (Italy), </i>on <i>12 - 14 October 2022.</i></span></div><div><br></div><div><span id="m_5484886782385279508gmail-m_2985680873081296981gmail-m_-7554227353322596117gmail-m_-7005476159332825136gmail-m_-7064892288007769198gmail-m_8357435706331979157gmail-m_-6001322693098493056m_3654309019651324142gmail-docs-internal-guid-948ca8e3-7fff-9f34-a39c-5cd679e34ce6"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">The goal of this symposium is to analyze both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures, and methods to track bias, as well as methodologies to prevent and solve bias.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We will provide a framework for discussion among scholars, practitioners, and other interested parties, including industry, crowd workers, requesters, and crowdsourcing platform managers. We expect contributions combining ideas from different disciplines, including computer science, psychology, economics, and social sciences.</span></p></span></div><span id="m_5484886782385279508gmail-m_2985680873081296981gmail-m_-7554227353322596117gmail-m_-7005476159332825136gmail-m_-7064892288007769198gmail-m_8357435706331979157gmail-m_-6001322693098493056m_3654309019651324142gmail-docs-internal-guid-1e8126c0-7fff-fdef-c5c3-b931332680c7"><font face="arial, sans-serif"><div><font color="#000000"><span style="white-space:pre-wrap"><br></span></font></div><b>Topics Of Interest</b></font></span><div><p dir="ltr" style="font-family:arial,sans-serif;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Topics of interest include (but are not limited to):</span></p><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Biases in Human Computation and Crowdsourcing</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Human sampling bias</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Effect of cultural, gender, and ethnic biases</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Effect of human in the loop training and past experiences</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Effect of human expertise vs interest</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Bias in experts vs. bias in crowdsourcing</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Bias in outsourcing vs bias in crowdsourcing</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Bias in task selection</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Task assignment/recommendation for reducing bias</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Effect of human engagement on the bias</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Responsibility and ethics in human computation and bias management</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Preventing bias in crowdsourcing and human computation</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Creating awareness of cognitive biases among human agents</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Measuring and addressing ambiguities and biases in human annotation</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Human factors in AI</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Using Human Computation and Crowdsourcing for Bias Understanding and Management</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Biases in Human-in-the-loop systems</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Identifying new types of cognitive bias in data or content</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Measuring bias in data or content</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Removing bias in data or content</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Dealing with algorithmic bias</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Fake news detection</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Diversification of sources by means</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Provenance and traceability</span></p></li></ul><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Long-term crowd engagement</span></p></li></ul><div style="font-family:arial,sans-serif"><font color="#000000"><span style="white-space:pre-wrap"><br></span></font></div><div style="font-family:arial,sans-serif"><font color="#000000"><span style="white-space:pre-wrap"><b>Submission Guidelines</b></span></font></div><div style="font-family:arial,sans-serif"><span id="m_5484886782385279508gmail-m_2985680873081296981gmail-m_-7554227353322596117gmail-m_-7005476159332825136gmail-m_-7064892288007769198gmail-m_8357435706331979157gmail-m_-6001322693098493056m_3654309019651324142gmail-docs-internal-guid-675acbbf-7fff-13e5-ca5b-d899cd0a9f8a"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We welcome the submission of research papers and abstracts which describe original work that has not been submitted or is currently under review, has not been previously published nor accepted for publication elsewhere, in any other journal or conference.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Submissions of the research papers must be in English, in PDF format, and be in the current CEUR-WS single-column conference format.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We will follow CEUR-WS guidelines, meet their preconditions, and expect to get the proceedings published. However, note that there is no guarantee that our volume will get published at CEUR-WS.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We welcome the submission of the following types of contributions:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Full papers should be at most 10 pages in length (including figures, tables, appendices, and references);</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Short papers should be at most 5 pages in length (including figures, tables, appendices, and references);</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Abstracts should be at most 1 page in length (including figures, tables, appendices, and references), should contain just a title and the abstract, and should detail demos or relevant work or ideas which are under development. They can not contain references.</span></p></li></ul><br><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">We implement a double-blind review process. Submissions must be anonymous and the submission must be made via EasyChair: </span><a href="https://easychair.org/conferences/?conf=bhcc2022" style="text-decoration-line:none" target="_blank"><span style="font-family:Arial;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">https://easychair.org/conferences/?conf=bhcc2022</span></a><span style="font-family:Arial;color:rgb(47,49,56);background-color:rgb(246,247,253);font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">.</span></span><font color="#000000"><span style="white-space:pre-wrap"><b><br></b></span></font></div><div style="font-family:arial,sans-serif"><font color="#000000"><span style="white-space:pre-wrap"><b><br></b></span></font></div><div style="font-family:arial,sans-serif"><font color="#000000"><span style="white-space:pre-wrap"><b>Important Dates</b></span></font></div><div><span id="m_5484886782385279508gmail-m_2985680873081296981gmail-m_-7554227353322596117gmail-m_-7005476159332825136gmail-m_-7064892288007769198gmail-m_8357435706331979157gmail-m_-6001322693098493056m_3654309019651324142gmail-docs-internal-guid-9c8011c1-7fff-ceb0-2609-c7de27558509"><ul style="font-family:arial,sans-serif;margin-top:0px;margin-bottom:0px"><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Full, Short, and Abstract papers due: 1 September 2022 AoE (firm deadline)</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Notifications: 10 September 2022</span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" role="presentation" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline">Conference: 12, 13, and 14 October 2022</span></p></li></ul><div><font color="#000000" face="Arial"><span style="white-space:pre-wrap"><br></span></font></div><div><font color="#000000" face="Arial"><span style="white-space:pre-wrap"><b>Chairs</b></span></font></div><div><ul><li style="margin-left:15px"><font color="#000000" face="Arial"><span style="white-space:pre-wrap">General Chair: </span></font>Lorenzo Bracciale (University of Rome "Tor Vergata")</li><li style="margin-left:15px"><font color="#000000" face="Arial"><span style="white-space:pre-wrap">General Chair: </span></font>Kevin Roitero (University of Udine)</li><li style="margin-left:15px"><font color="#000000" face="Arial"><span style="white-space:pre-wrap">Proceedings and Website Chair: Michael Soprano</span></font> (University of Udine)</li><li style="margin-left:15px"><font color="#000000" face="Arial"><span style="white-space:pre-wrap">Social Media Chair: David La Barbera</span></font> (University of Udine)</li><li style="margin-left:15px"><font color="#000000" face="Arial"><span style="white-space:pre-wrap">Sponsorship Chair: Danula Hettiachchi (RMIT University)</span></font></li></ul><div><font color="#000000" face="Arial"><span style="white-space:pre-wrap"><b>Contact</b></span></font></div><div><div style="margin-bottom:16px;color:rgba(0,0,0,0.87);font-family:Roboto,RobotoDraft,Helvetica,Arial,sans-serif;text-align:center;white-space:nowrap"><div style="text-align:left;color:rgb(95,99,104);font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:20px;letter-spacing:0.2px;vertical-align:middle;overflow:hidden;text-overflow:ellipsis"><a href="mailto:bhccsymposium2022@gmail.com" target="_blank">bhccsymposium2022@gmail.com</a></div></div></div></div></span></div></div></div>
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