Karam Abdulahhad is a postdoctoral at GESIS - Leibniz Institute for the Social Sciences in Germany. He is engaged in the ExploreData project to build an advanced search engine for social science data. He has a Ph.D. degree in computer sciences from Grenoble-Alpes University in France, where he tackled the problem of term-mismatch. He proposed a new IR model by adapting an idea from physics. His research interests include IR theory, logical/conceptual/semantic IR, machine learning, and text mining. Recently, he is studying the profitability of the modern embedding technics in IR. He taught in several universities and developed several tools.
Palakorn Achananuparp is a senior research scientist at Living Analytics Research Centre (LARC), Singapore Management University. He is interested in developing and applying machine learning, natural language processing, and crowdsourcing techniques to solve problems in a variety of domains, including online social networks, politics, and public health.
Daniel Acuna is an Assistant Professor in the School of Information Studies at Syracuse University, Syracuse, NY. He runs the Science of Science and Computational Discovery Lab, supported by grants from NSF, DDHS, and DARPA and featured in Nature Podcast, The Chronicle of Higher Education, NPR, and the Scientist. The goal of his current research is to predict future academic success and remove potential biases that scientists and funding agencies commit during peer review. He has created tools to improve literature search, peer review, and detect scientific fraud.
Bob Allen is developing a model-oriented approach to information organization. His previous work ranged from recommender systems to neural networks. Bob studied at Reed College and UCSD. He joined the Research organization at Bell Laboratories. He then joined to the Bellcore Applied Research group in information science and digital libraries. He was the Editor-in-Chief of the ACM Transactions on Information Systems and later Chair of the ACM Publications Board. Since 1998 he has been a faculty member at number of universities around the world such as Maryland, Drexel, Victoria (NZ), Tsukuba (Japan), and Yonsei (Korea).
Waleed Ammar is a senior research scientist at Google, where he works on NLP-related problems in biomedical and clinical applications. Before joining Google, Waleed was a research scientist at the Allen Institute for Artificial Intelligence where he led the Semantic Scholar research team. In 2016, he received a Ph.D. degree in artificial intelligence from Carnegie Mellon University. Before pursuing the Ph.D., Waleed was a software developer at Microsoft Research, web developer at eSpace Technologies, and teaching assistant at Alexandria University.
Christine Betts is a software engineer working on human computation at Google AI. She graduated with honors in computer science from the University of Washington. While there, she was an intern at The Allen Institute for AI, and before that at Facebook and Google.
Katarina Boland is research associate in the department Knowledge Technologies for the Social Sciences at GESIS - Leibniz Institute for the Social Sciences. She joined GESIS in August 2011 after earning her Magistra Artium degree in Computational Linguistics, Computer Science and Psychology at Heidelberg University. Katarina has been part of the DFG projects InFoLiS I and InFoLiS II which addressed the automatic linking of research data and scientific publications. Katarina's main research interests lie in the field of Natural Language Processing and Text Mining. Currently, she is primarily involved in research on Information Extraction, NLP & Journalism and automatic fact-checking.
Minh-Son Cao is a Master student in School of Computing at KAIST, under the supervision of Professor Sung-Hyon Myaeng at Information Retrieval and Natural Language Processing Laboratory. Previously, he received his Bachelor Degree from the University of Engineering and Technology, Vietnam National University (VNU-UET) in June 2017. He was a member of Data Mining and Knowledge Technology Laboratory from August 2015 to June 2017, under the supervision of Associate Professor Xuan-Hieu Phan. His research focuses on the application of Deep Learning in Natural Language Processing, mainly on embedding problems.
Stefan Dietze is full professor for Data & Knowledge Engineering at the Institute for Computer Science at Heinrich-Heine-University Düsseldorf, Scientific Director of the department Knowledge Technologies for the Social Sciences at GESIS – Leibniz Institute for the Social Sciences and affiliated member at the L3S Research Center of the Leibniz University Hanover, Germany. His research interests are at the intersection of information retrieval, semantic technologies and artificial intelligence, and in particular, the extraction, fusion and search of knowledge and data on the Web. Stefan’s work has been published at major scientific venues, such as WWW/The Web Conf, SIGIR, CHI or ISWC, where he also frequently serves as PC and/or OC member.
Dimitar Dimitrov is a PostDoc at GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany. He obtained a Ph.D. from the University of Koblenz-Landau, Koblenz, Germany. Before that, he studied Software Engineering at the University of Applied Sciences Konstanz, Konstanz, Germany, where he also obtained his master's degree in Computer Science. At GESIS, Dimitar Dimitrov is working on the da|ra project aimed to deliver the software infrastructure for assigning DOI names to social and economic datasets. His research focuses on applying statistical and machine learning techniques to study user behavior in web-based systems.
Behnam Ghavimi is a research fellow in WTS department at GESIS – Leibniz Institute for the Social Sciences. He graduated from the University of Bonn with a Master's degree in Computer Science. His master thesis was about detecting dataset references in texts under the supervision of Prof. Sören Auer and Dr. Philipp Mayr. Since September 2016, he was involved in different projects focused on NLP (text analysis and text mining) and recommender systems. One of his projects was the EXCITE project - jointly run by WeST at the University of Koblenz-Landau and GESIS to extract citations from publications and make more citation data openly available.
Andrew Gordon is Senior Data Engineer at Columbia University Information Technology. Previously, Andrew was Research Information Scientist with the Coleridge Initiative at New York University. There, Andrew served as an information specialist, programmer, and ETL engineer supporting the full research and administrative data lifecycle for ingest, curation, facilitating data discovery, and providing access to sensitive, administrative data for academics and policy analysts. Andrew has a Master of Science degree in Information from the University of Michigan School of Information and a Bachelor of Arts degree in Cultural Anthropology from the University of Michigan.
Suchin Gururangan is a Predoctoral Young Investigator at the Allen Institute for AI (AI2). His research interests involve model evaluation and robustness in NLP, especially under low-resource settings and distant domains. Before joining AI2, Suchin was a master's student in NLP at the University of Washington, and before graduate school, Suchin was a data scientist at various companies in Boston in Seattle.
Giwon Hong is a master’s student in the School of Computing at KAIST and research assistant in IR&NLP Lab at KAIST. He graduated from Sungkyunkwan University with a degree in Computer Science in February 2018. His research lays in the area of Natural Language Processing, specifically in Question Answering and Relation Extraction
Rricha Jalota is a developer in the Computer Science department of Paderborn University. She works in the areas of data access and knowledge extraction. Her interests lie in the application of Machine Learning/Deep Learning approaches to solve NLP problems in the domain of Question Answering, Conversational AI and Information Retrieval.
Daniel King is a Predoctoral Young Investigator on the Semantic Scholar team at The Allen Institute for AI. He received his B.S. in Computer Science from Harvey Mudd College in May 2018. His research interests are generally in Natural Language Processing and using AI techniques to make useful tools. Outside of research and software engineering, he enjoys playing soccer, bughouse chess, and hiking.
Sebastian Kohlmeier is the Sr. Manager of Program Management and Business Operations at the Allen Institute for AI where he leads program management for applied research, business intelligence and data science and partner development. Prior to joining the Allen Institute for AI, Sebastian worked as a Technical Program Manager and Engineering Manager in a variety of roles at Amazon and Microsoft. Sebastian graduated with honors from Western Washington University in 2007.
Philips Kokoh Prasetyo Philips Kokoh Prasetyo is a principal research engineer at the Living Analytics Research Centre (LARC) in the Singapore Management University. He enjoys analyzing data from many different perspectives, and his current interests include machine learning, natural language processing, text mining, and deep learning. He received Master degree from National Cheng Kung University in Taiwan, and Bachelor degree from Sekolah Tinggi Teknik Surabaya in Indonesia. He received several awards including ACLCLP thesis award in 2009, and DPU scholarship from 2007 to 2009.
Julia Lane is a Professor at the NYU Wagner Graduate School of Public Service, at the NYU Center for Urban Science and Progress, and a NYU Provostial Fellow for Innovation Analytics. She cofounded the Coleridge Initiative, whose goal is to use data to transform the way governments access and use data for the social good through training programs, research projects and a secure data facility. The approach is attracting national attention, including the Commission on Evidence Based Policy and the Federal Data Strategy.
Ekaterina Levitskaya is an Associate Research Scientist at the Coleridge Initiative, New York University. She utilizes computational approaches to the social science research, with special focus on text analysis and natural language processing. Her background is in computational linguistics and applied data science. She is interested in applying computational skills for the projects with social impact and utilizing text as data in a variety of applications for the social science research.
Ee-Peng Lim Dr Ee-Peng Lim is the Lee Kong Chian Professor of Information Systems and Director of Living Analytics Research Center in the Singapore Management University. He received his PhD degree in Computer Science from the University of Minnesota. His research expertise covers social media mining, social/urban data analytics, and information retrieval. He has published more than 90 international journal papers and 280 conference papers, many of them appeared at top ACM and IEEE journals and conference venues. He is the recipient of the Distinguished Contribution Award at the 2019 Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD).
Jonathan Morgan is a Doctoral Candidate at the University of Mannheim. Jonathan has worked as a Senior Research Scientist at New York University; a Senior Data Scientist at the United States Census Bureau; a programmer, designer, and product manager for higher education systems integrations and data governance applications at various companies and institutions; and as an online producer for The New York Times and Multiplatform Editor for the Detroit News. He has a Bachelor of Arts in Computer Science from Wittenberg University, a Master of Arts in Journalism from NYU, and was a University Enrichment Fellow at Michigan State University.
Ian Mulvany is head of transformation at SAGE Publishing. He helped setup SAGE’s methods innovation incubator SAGE Ocean following a lean product development approach. Previously he ran technology operations for eLife, was head of product for Mendeley and ran a number of early web2.0 products for Nature Publishing Group. He is passionate about creating digital tools that support the research enterprise. He is interested in the interplay between different stakeholders that can lead to the sustainably of these kinds of tools.
Paco Nathan is a technologist, consultant, and evil mad scientist with deep experience in the areas of machine learning, human in the loop patterns for AI, and natural language work. He is advisor to several tech organizations including: NYU Coleridge Initiative, IBM Data Science Community, Amplify Partners, Recognai, Data Spartan, and Primer AI. He is co-chair for Rev conference by Domino Data Lab.
Axel-Cyrille Ngonga Ngomo is a full professor at the Computer Science department of Paderborn University. In his work, he focuses on the life cycle of knowledge graphs. He has hence been involved in the development of approaches for the extraction, storage, querying, integration and fusion as well as the exploitation of knowledge graphs. One core usage of knowledge graphs he explores is the development of explainable and responsible active machine learning algorithms. Axel is a proponent of open data, open research, and open science with a keen interest in paradigms and frameworks for reproducible scientific research.
Wolfgang Otto is a postgraduate and research associate at GESIS - Leibniz Institute for the Social Sciences in Germany. As part of the Knowledge Technologies for the Social Sciences Department under Stefan Dietze, he applies NLP-techniques on text and data corpora in the Social Sciences. After finishing with a master degree at the NLP Group at Leipzig University (Prof. Dr. Gerhard Heyer), he is part of a team in a third funded project (German Research Fund) to build up a Specialized Information Service for Political Scientists (pollux-fid.de). A Project the State and University Library Bremen (SuUB) is realizing in cooperation with GESIS. During his studies, he collaborated in Projects on Digital Humanities, Applied Text Mining, and Data Science.
Sophie Rand is an Associate Research Scientist working on the Rich Context project at the Coleridge Initiative. Previously, she was a Public Health Data Analyst at the New York City Department of Health and Mental Hygiene, first in the Bureau of Primary Care and Prevention, where she worked with data from Health Information Exchanges and Electronic Health Records in support of clinical-community public health programs; and in the Division of Disease Control, working with real-time Emergency Department, reportable infectious disease, and school health data. Sophie holds a Bachelors of Science in Engineering from the Cooper Union and a Master’s in Public Health from the CUNY School of Public Health.
Michael Röder is a research associate and a Ph.D. candidate in the Computer Science department of Paderborn University. His research focuses on data gathering, data analysis and benchmarking of linked data systems. He has been involved in several research projects and reviewed papers for different scientific journals and conferences.
Haritz Puerto San Roman is a master’s student in the School of Computing at KAIST and research assistant in IR&NLP Lab at KAIST. He graduated from the University of Malaga with a degree in Computer Science in July 2017. His research lays in the application of Machine Learning to Natural Language Processing, specifically to solve the problem of Question Answering.
Amila Silva Amila Silva is a graduate from University of Moratuwa, Sri Lanka, with a First-Class Honors degree in Electronics and Telecommunication Engineering, where he was placed second of the graduating class of 110 students. He is currently working towards a Ph.D. degree at the Department of Computing and Information Systems, the University of Melbourne, Australia. He was awarded the Melbourne Graduate Research Scholarship supporting his studies. Besides, he was awarded the Rowden White Scholarship, a prestigious scholarship provided by the University of Melbourne to talented Ph.D. students. His research interests include continual learning, graph analytics, and data mining.
René Speck is a research associate and a Ph.D. candidate in the data processing service center (Research and Development Department II) at Leipzig University. His work and research focus on knowledge extraction, knowledge graphs, natural language processing, and machine learning. René Speck has been involved in several projects at the Leipzig University since 2013. He has been a reviewer for several conferences and journals since then as well.
Nikit Srivastava is a master's student and a student research assistant in the Computer Science department at Paderborn University. His research mainly focuses on data science chatbots and word embeddings. He has been involved in the development of many proofs-of-concept and prototype demonstrations for different scientific research papers and conferences.
Narges Tavakolpoursaleh is a postgraduate and research fellow at GESIS - Leibniz Institute for the Social Sciences in Germany. At the moment, as a part of a team, she involves in a third-party funded project (STELLA) that aims to create an evaluation infrastructure for search and recommendation services within productive web-based search systems with real users.
Ricardo Usbeck is a senior (guest) researcher at Paderborn University focusing on data extraction and information retrieval. His main interest is the combination of machine learning, statistics, and linked data. Ricardo is leading and executing several national and international research projects concerned with searching large amounts of heterogeneous and small, specific datasets using natural language.
Daniel Vollmers is a research associate and a Ph.D. candidate in the Computer Science department of Paderborn University. His research focuses on Question Answering knowledge extraction and machine learning. He has been involved in several research projects in these domains.
Alex D. Wade is Program Manager for Knowledge Graphs and Open Science at the Chan Zuckerberg Initiative. Alex earned his master’s in library science from the University of Washington and has worked for the libraries at the University of California at Berkeley, the University of Michigan, and the University of Washington. Alex has spent his post-academic career working on problems in information retrieval, knowledge representation, and open science at Microsoft, Amazon, and Facebook, and currently works on the Meta service and the Open Science group at the Chan Zuckerberg Initiative.
Tong Zeng is a Ph.D. candidate in the School of Information Management at Nanjing University and a visiting scholar in the School of Information Studies at Syracuse University, working with Professor Daniel Acuna in the Science of Science and Computational Discovery Lab. Tong’s research interests lie within text mining and scientometrics. In particular, he is interested in applying natural language processing and network science techniques on scientific literature to investigate, understand, and facilitate various aspects of scientific communication. His recent projects involve detecting dataset mentions in full text, assigning credit to datasets, and disambiguating authors at scale.
Andrea Zielinski is a Senior Research Scientist at the Fraunhofer Institute for Systems and Innovation Research (ISI), Karlsruhe, Germany and conducts applied research in Machine Learning and Text Mining at the Innovation System Data Excellence Center (ISDEC). She studied Computer Science with a focus on Artificial Intelligence and Linguistics at the University of Hamburg. In 2002, she received her PhD in Computational Linguistics from Saarland University. Since 2008, she also serves as a lecturer for Text Mining at the Department of Computational Linguistics, Heidelberg University, Germany. Her research interests lie at the intersection of Natural Language Processing and Machine Learning, particularly on areas relating to Text Mining and Semantics.