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DTSTART;TZID=Europe/Berlin:20191021T110000
DTEND;TZID=Europe/Berlin:20191021T120000
DTSTAMP:20260409T181808
CREATED:20190916T123748Z
LAST-MODIFIED:20190917T093257Z
UID:39910-1571655600-1571659200@www.h-its.org
SUMMARY:Colloquium Nicholas G. Reich: The Computational Science of Real-time Influenza Forecasting
DESCRIPTION:By Nicholas G. Reich\, Department of Biostatistics and Epidemiology\, University of Massachusetts\, School of Public Health and Health Sciences\, Amherst\, USA \nSeasonal influenza outbreaks cause substantial annual morbidity and mortality worldwide. Accurate forecasts of key features of influenza epidemics\, such as the timing and severity of the peak incidence in a given season\, can inform public health response to outbreaks. As part of ongoing efforts to incorporate real-time data and advanced computational methods into public health decision-making\, the United States Centers for Disease Control and Prevention (CDC) has organized real-time seasonal influenza forecasting challenges since 2013. This talk will summarize the recent collaborative efforts by the FluSight Network consortium to improve real-time forecast accuracy through multi-model ensemble forecasting. We will discuss the process of building and evaluating ensemble approaches\, each of which combines over 20 separate component model predictions into a single probabilistic forecast. During the Northern hemisphere winter influenza season\, the forecasts from the FluSight Network are publicly reported by the CDC as part of an official weekly communication to inform health practitioners about seasonal influenza trends. Past forecasts are available via an interactive data visualization at http://flusightnetwork.io. This talk will highlight the interdisciplinary challenges in designing\, implementing\, evaluating\, and communicating forecasts in a public health context.  \nCurriculum vitae:\nNicholas G Reich is an Associate Professor of Biostatistics at the University of Massachusetts – Amherst. His research group\, the Reich Lab (https://reichlab.io)\, focuses on developing statistical models for infectious disease dynamics. To forecast outbreaks of diverse infectious diseases (including dengue fever and influenza) and to assist with other outbreak response efforts\, his team has developed computational methods and user-friendly tools for analyzing real-time infectious disease surveillance data. He received a Young Faculty Director’s Award from the U.S. Defense Advanced Research Projects Agency (DARPA) and in 2015 earned first place for Outstanding Research Articles in Biosurveillance from the International Society of Disease Surveillance. Dr. Reich is the director of an Influenza Forecasting Center of Excellence\, funded by the U.S. Centers for Disease Control and Prevention (CDC). For the 2019/2020 academic year\, Dr. Reich is a visiting scholar at the LMU-Munich Department of Statistics\, supported by an Alexander von Humboldt Fellowship.  \nREGISTRATION: \n\nFor registration please contact Benedicta Frech: benedicta.frech@h-its.org \nIn case you are not able to attend in person\, you can watch the talk afterwards on the HITS YouTube channel: https://www.youtube.com/user/TheHITSters.\nThe colloquium will be live streamed\, please use the following link: https://hitsmediaweb.h-its.org/Mediasite/Play/a7cd0da6511c4d42b4460b003c537c981d
URL:https://www.h-its.org/event/colloquium-reich/
LOCATION:Studio Villa Bosch\, Schloss-Wolfsbrunnenweg 33\, Heidelberg\, 69118\, Germany
CATEGORIES:Colloquia,Public Events
ATTACH;FMTTYPE=image/jpeg:https://www.h-its.org/wp-content/uploads/2019/09/Nicholas_Reich.jpeg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20191007T160000
DTEND;TZID=Europe/Berlin:20191007T170000
DTSTAMP:20260409T181808
CREATED:20190902T134100Z
LAST-MODIFIED:20190905T104540Z
UID:39315-1570464000-1570467600@www.h-its.org
SUMMARY:Vortrag Prof. Dr. Andreas von Bubnoff\, HITS Journalist in Residence 2019: Auf der Suche nach der Wahrheit - Wissenschaftsjournalismus in Zeiten von post-truth und reproducibility crisis
DESCRIPTION:Die Wahrheit\, so scheint es\, hat es schwer heutzutage: Oxford Dictionaries erklärte “post-truth” zum internationalen Wort des Jahres 2016; Fake News verbreiten sich oft schneller\, als sie entlarvt werden können; und der Relotius-Skandal offenbarte Schwachstellen beim Faktencheck im deutschen Journalismus. Auch in der Wissenschaft gibt es Probleme: Wissenschaftliche Studien\, etwa zur Ernährung\, widersprechen sich allzu oft; zahlreiche Studien sind nicht reproduzierbar; und schwach belegte oder sogar widerlegte Theorien halten sich bisweilen überraschend lange.​ \nWie ernst sind diese Probleme wirklich\, wie konnte es dazu kommen\, und wie können wir das Vertrauen der Bevölkerung in die Wissenschaft und den Journalismus erhalten bzw. wiederherstellen? HITS Journalist in Residence Prof. Dr. Andreas von Bubnoff\, der lange Jahre als Wissenschaftsjournalist in den USA tätig war\, wird versuchen\, diese Fragen zu beantworten. \nCV: http://andreasvonbubnoff.squarespace.com/ \n  \nREGISTRIERUNG: \n\nFalls Sie an der Veranstaltung teilnehmen möchten\, wenden Sie sich bitte an Benedicta Frech (Benedicta.frech@hits.org).\nFür alle\, die nicht persönlich zur Veranstaltung kommen können: Das Kolloquium wird live gestreamt. Bitte benutzen Sie den folgenden Link: https://hitsmediaweb.h-its.org/Mediasite/Play/fa84ced26eec44369988b7a1b68a92001d\nDas Video des Vortrags wird außerdem im Anschluss auch auf dem HITS YouTube Kanal verfügbar sein: https://www.youtube.com/user/TheHITSters.
URL:https://www.h-its.org/event/vortrag-prof-dr-andreas-von-bubnoff/
CATEGORIES:Colloquia,Public Events
ATTACH;FMTTYPE=image/jpeg:https://www.h-its.org/wp-content/uploads/2019/08/Bubnoff.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190909T110000
DTEND;TZID=Europe/Berlin:20190909T120000
DTSTAMP:20260409T181808
CREATED:20190715T122756Z
LAST-MODIFIED:20190827T150307Z
UID:38362-1568026800-1568030400@www.h-its.org
SUMMARY:Colloquium Richard A. Bonneau: Large Scale Machine Learning Methods for Predicting Protein Functions from integration of Sequence\, Structure and Networks
DESCRIPTION:By Prof. Dr. Richard A. Bonneau\, Professor of Biology and Computer Science; Director\, NYU Center for Data Science\, New York\, USA \nVladimir Gligorijevic\, P Douglas Renfrew and Richard Bonneau. \nDue to limitations of existing experimental methods for determining protein functions and the high cost of experiments\, the vast majority of proteins across many organisms remain unannotated.  Developing ML methods for combining large-scale genome-wide heterogeneous data to extract useful protein feature representations for function prediction thus remains a key problem in biology.   This problem also serves to illustrate many general aspects of multiple applications of machine learning to biological sequences. We will review a few of our recent deep learning-based methods for predicting function from various data types\, including protein sequences\, structures and protein-protein interaction networks. We will first present our recent integrative method\, deepNF (deep network fusion) that integrates different protein-protein interaction networks using multi-modal network auto-encoders to construct a shared protein feature representation indicative of protein function. In the second part of the talk\, we will focus on methods for predicting function from combining protein sequence and structure. This discussion will center on a method based on graph convolutional networks (GCNs) which extracts features from protein contact maps and sequences while learning to predict function. We will discuss the performance of GCN in predicting functions of experimentally determined structures from PDB and how we are planning on applying this method on Rosetta-predicted structures.  Our hope is to predict protein function in a manner that allows us to map the predicted function back to residues\, locations on structures\, and network neighborhoods in manner that facilitates experimental followup. \nCurriculum vitae: \nDr. Bonneau is Group Leader for Systems Biology at the newly founded Flatiron Institute in New York City and also Director of the New York University Center for Data Science.  His group works on inferring and modeling both biological and social networks (at the Simons foundation and the SMaPP lab at NYU respectively)\, developing new methods to learn very large networks from large collections of genomics data.   His group actively participates in applying these methods to ongoing systems biology consortia efforts that span bacteria\, model systems\, bacteria\, the immune system and crop plants. His group also develops methods for the prediction and design of bio molecular polymers (and polymers that mimic biological structure).  To carry out this work his group develops Rosetta as a core member of the RosettaCommons; Dr. Bonneau is a founding member of the Rosetta commons and a member of the RosettaCommons executive board. Dr. Bonneau is committed to doing all he can to leverage his position as Director of the Center for Data Science to help increase diversity in the many computational fields that comprise what we today refer to as the field of data science. \nREGISTRATION: \n\nFor registration please contact Benedicta Frech: benedicta.frech@h-its.org \nIn case you are not able to attend in person\, you can watch the talk afterwards on the HITS YouTube channel: https://www.youtube.com/user/TheHITSters.\nThe colloquium will be live streamed\, please use the following link: https://hitsmediaweb.h-its.org/Mediasite/Play/0d38e9bc22344589b572c45a711af3671d
URL:https://www.h-its.org/event/colloquium-richard-bonneau/
LOCATION:Studio Villa Bosch\, Schloss-Wolfsbrunnenweg 33\, Heidelberg\, 69118\, Germany
CATEGORIES:Colloquia,Public Events
ATTACH;FMTTYPE=image/jpeg:https://www.h-its.org/wp-content/uploads/2019/07/Rich-Bonneau.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190715T110000
DTEND;TZID=Europe/Berlin:20190715T120000
DTSTAMP:20260409T181808
CREATED:20190709T083656Z
LAST-MODIFIED:20190709T122906Z
UID:38274-1563188400-1563192000@www.h-its.org
SUMMARY:Colloquium Peter Hunter: Computational Physiology and the Physiome Project
DESCRIPTION:By Prof. Dr. Peter Hunter\, Auckland Bioengineering Institute\, University of Auckland\, New Zealand \nComputational physiological models deal with multiple physical processes (coupled tissue mechanics\, electrical activity\, fluid flow\, etc) at multiple spatial and temporal scales. In many cases the goal is to understand integrative biological function in terms of underlying tissue structure and molecular mechanisms. These models are intended both to help understand physiological function and to provide a basis for diagnosing and treating pathologies in a clinical setting. The Physiome Project is developing model and data encoding standards\, web accessible databases and open source software for multiscale modelling (e.g. www.cellml.org). A new journal called Physiome will soon be launched to publish reproducible and reusable models. The talk will discuss the current state of the Physiome Project\, including a summary of a multi-physics mathematical framework based on port-Hamiltonians for modelling physiology\, and a project to map the pathways of the autonomic nervous system (commonfund.nih.gov/sparc). \nCurriculum vitae: \nProfessor Peter Hunter is Director of the Auckland Bioengineering Institute (ABI) at the University of Auckland\, and founding Director of the Medical Technologies Centre of Research Excellence (MedTech CoRE). His research interests are in modeling human physiology using an anatomical and biophysically-based multiscale approach that links molecular processes to tissue level phenotypes. He was awarded the Rutherford Medal and a KEA World Class NZ award in 2009 and appointed to the NZ Order of Merit in 2010. He is an elected Fellow of the Royal Society (London and NZ)\, President of the World Council of Biomechanics\, 2nd Vice-President of the International Union of Physiological Sciences (IUPS)\, and past-Chair of the International Academy of Medical and Biological Engineering. \nRegistration is closed. \nThe colloquium will be live streamed\, please use the following link: https://hitsmediaweb.h-its.org/Mediasite/Play/22f74231fb8f494ab7b719c52b17d5a01d
URL:https://www.h-its.org/event/colloquium-peter-hunter/
LOCATION:Studio Villa Bosch\, Schloss-Wolfsbrunnenweg 33\, Heidelberg\, 69118\, Germany
CATEGORIES:Colloquia,Public Events
ATTACH;FMTTYPE=image/jpeg:https://www.h-its.org/wp-content/uploads/2019/07/Hunter.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190712T160000
DTEND;TZID=Europe/Berlin:20190712T170000
DTSTAMP:20260409T181808
CREATED:20190517T134433Z
LAST-MODIFIED:20190627T123325Z
UID:35866-1562947200-1562950800@www.h-its.org
SUMMARY:Colloquium Rainer Malaka: Empowering People with Digital Media: Playful and Natural Human Computer Interaction
DESCRIPTION:By Prof. Dr. Rainer Malaka\, Technology Center Informatics and Information Technology (TZI)\, University of Bremen\nDigital Media are omnipresent and ubiquitous phenomena. The digital revolution has already transformed our lives and societies. This trend will continue and include more devices in our surrounding such as cars and household robots. In this new digital society\, Human Computer Interaction (HCI) will shape the way we think\, communicate\, and work. We co-exist in a digital society with a global infrastructure of information technology. The talk will look at perspectives of HCI that supports humans in their abilities and motivates them in solving their everyday tasks. Playful elements and computer games seem to be promising tools to shape new forms of interaction that turn tedious work into playful activities. We will look at some techniques from entertainment computing and discuss their potential for HCI and serious applications.\nThe talk will give a number of examples of systems that show how natural and playful interaction can be used for empowering people with digital media. \nCurriculum vitae:\nRainer Malaka is Professor for Digital Media at the University of Bremen since 2006. The focus of Dr. Malaka’s work is Digital Media\, Interaction\, and Entertainment Computing. At the University of Bremen\, he directs a Graduate College “Empowering Digital Media” funded by the Klaus Tschira Foundation. He is also director of the TZI\, the center for computing technologies at the University of Bremen. Before joining the University of Bremen\, he led a research group at the European Media Lab in Heidelberg. He did his PhD at the University of Karlsruhe on modeling brain structures using neural networks. He is also steering board member of the Interdisciplinary College for multiple years\, a multidisciplinary international spring school on cognitive science\, neurosciences and AI.\nRainer Malaka is the German representative in and chair of IFIP’s technical committee TC14 for Entertainment Computing. \nREGISTRATION: \n\nFor registration please contact Benedicta Frech: benedicta.frech@h-its.org \nIn case you are not able to attend in person\, you can watch the talk afterwards on the HITS YouTube channel: https://www.youtube.com/user/TheHITSters.
URL:https://www.h-its.org/event/colloquium-rainer-malaka/
LOCATION:Studio Villa Bosch\, Schloss-Wolfsbrunnenweg 33\, Heidelberg\, 69118\, Germany
CATEGORIES:Colloquia,Public Events
ATTACH;FMTTYPE=image/jpeg:https://www.h-its.org/wp-content/uploads/2019/05/Rainer-Malaka2.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20190206T110000
DTEND;TZID=Europe/Berlin:20190206T150000
DTSTAMP:20260409T181808
CREATED:20190128T163816Z
LAST-MODIFIED:20260126T100139Z
UID:28844-1549450800-1549465200@www.h-its.org
SUMMARY:Colloquium Alexander Mäder: How AI could help journalists
DESCRIPTION:By Prof. Alexander Mäder\, Hochschule der Medien\, Crossmedia-Redaktion/Public Relations\, Stuttgart \nIn the old days\, not long ago\, journalists found out what happened and then reported it. But digitalization has changed this fundamentally. Not only is there less time to do the research but also other actors are weighing in with their own take of what’s happening. However\, digitalization also offers new tools to make reporting more thorough: Artificial intelligence could help journalists find credible sources and integrate their reader’s expertise. \nCurriculum vitae \nAlexander Mäder teaches digital news journalism at the Hochschule der Medien in Stuttgart. He has worked as a science journalist for 15 years at several newspapers\, magazines and websites. His PhD is in Philosophy of Science. \n  \nRegistration \nFor registration please contact Benedicta Frech: benedicta.frech@h-its.org\nPLEASE CLICK HERE FOR THE LIVE STREAM.
URL:https://www.h-its.org/event/colloquium-alexander-maeder-how-ai-could-help-journalists/
LOCATION:Studio Villa Bosch\, Schloss-Wolfsbrunnenweg 33\, Heidelberg\, 69118\, Germany
CATEGORIES:Public Events
ATTACH;FMTTYPE=image/jpeg:https://www.h-its.org/wp-content/uploads/2019/01/annasch_photo.jpg
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