27-31 JANUARY 2020, CAPE TOWN, SOUTH AFRICA
Call for Participation
We invite African students and researchers to participate in the 2nd Africa Summer School on Machine Learning for Data Mining and Search, sponsored by ACM SIGIR and SIGKDD, hosted at the University of Cape Town, and presented by leading international researchers.
The mission of the school is to enable students to learn about modern research challenges and methods in information retrieval and data mining; to stimulate scientific research and collaboration in these fields; and to grow a community of researchers, students, and industry professionals working on information retrieval and data mining across Africa with collaborations all around the world.
The target audience is junior faculty from institutions across Africa and advanced graduate students in Africa, with the vision that attendees take their new insights back to their home institutions to grow a vibrant research community in information retrieval and data mining. Some travel grants will be awarded to encourage participants who may not otherwise be able to attend.
The workshop will offer a week of lectures and labs for an audience of up to 50 students. Each day will centre around a broad theme in information retrieval and data mining and consist of lectures on aspects of that theme and hands-on lab time. The program will also include keynote addresses, panels, poster sessions and social events.
SPEAKERS
Daniel Campos is a Program Manager at Microsoft. He joined Microsoft in 2015 and Bing in 2017 where he has been working on offline relevance judgments, metrics, and applied research for document ranking. He has also been building MSMARCO dataset and exploring how the worlds of AI, Question Answering, and Information Retrieval all are connected. He is currently pursuing his MS in Computational Linguistics at the University of Washington and received his BS in Computer Science from Rensselaer Polytechnic Institute in 2015 where he focused on multi-lingual NLP.
Daniel Campos Microsoft AI & R and University of Washington, USA
Ben Carterette is an Associate Professor at the University of Delaware and a Senior Research Scientist and Lab Lead at Spotify Research. His research is on experimentation in search and recommender systems, novelty in search results, and user search sessions. He has published nearly a hundred papers, won several best paper awards, been awarded national research grants, and graduated four PhD students. He has chaired conferences such as the ACM International Conference on Web Search and Data Mining (WSDM) in 2014 and the ACM International Conference in the Theory of Information Retrieval (ICTIR) in 2016, co-coordinated tracks for the Text Retrieval Conference (TREC) for 10 years, and in 2016 was elected to the position of Treasurer for the ACM SIGIR Executive Committee.
Benjamin Carterette (AFIRM 2020 Dean and Moderator) Spotify Research, USA
Charles Clarke is a Professor in the School of Computer Science at the University of Waterloo, Canada. His research interests span the broad field of information retrieval, including search, question answering, and recommendation. He has published over 100 refereed contributions on a wide range of topics, including information retrieval evaluation, user interfaces, filesystem search, natural language processing, machine learning, databases, and XML. He is an ACM Distinguished Scientist and Past Chair of the ACM Special Interest Group on Information Retrieval (SIGIR). He frequently serves on the program committees of major information retrieval conferences, including WSDM, WWW, SIGIR, and CIKM. He was Program Co-Chair for SIGIR in 2007 and 2014. He is a co-author of the book Information Retrieval: Implementing and Evaluating Search Engines, MIT Press, 2010. From August 2016 to August 2018, while on leave from Waterloo, he was an engineering tech lead at Facebook, where he worked on metrics and machine learning for Facebook Search. He has previously worked at Microsoft and other companies in both engineering and research roles.
Charles Clarke School of Computer Science, University of Waterloo, Canada
Nick Craswell is a Principal Group Applied Science Manager at Microsoft USA. On the product side his team is responsible for a variety of relevance metrics at Bing, using online A/B testing to measure the utility of the system, as well as offline relevance judgments to monitor relevance and trustworthiness of results. His science team currently works on new search technology such as next-generation search data/metrics, how to optimize this using machine learning, and how to make information seeking more conversational. He joined Microsoft in Cambridge UK in 2004 and moved to Seattle in 2009 to work more directly on product development. He received his PhD from the Australian National University in 2000 and worked at CSIRO before joining Microsoft.
Nick Craswell Microsoft Research, USA
Maria Eskevich is CLARIN ERIC Central Office Coordinator. Her research interests lie in the field of digital
humanities; creation, development and use of technical infrastructures for social sciences and humanities;
multimedia search and hyperlinking, use of crowdsourcing technologies, with particular focus on research
evaluation. She received her Ph.D. in 2014 in the field of Speech Search from Dublin City University,
Ireland. The topic of her thesis was "Towards Effective Retrieval of Spontaneous Conversational Spoken
Content". As a post-doctoral researcher, she has worked on policies for text and data mining and
open access (H2020 Project FutureTDM at Radboud University, The Netherlands), and multimedia search
and hyperlinking (H2020 Project LinkedTV at EURECOM, France). She was one of the organisers of the
Rich Speech Retrieval and all editions of the Search and Hyperlinking Tasks at MediaEval Benchmark
Evaluation Series and TRECVid. Through her work on these benchmarks, she has extensive experience
in the benchmark tasks to support research in search technologies, and in particular the design and
implementation of crowdsourcing tasks to support this research. She is the lead of the organisers of two
special sessions dedicated to the topics of "User-centric Video Search and
Hyperlinking" at ICMR'2014 and "Identifying and Linking Interesting Content in Large Audiovisual
Repositories" at ICMR'2017. She served as Programme Co-Chair at 2nd Conference on
Language, Data and Knowledge (LDK) 2019.
Maria Eskevich CLARIN ERIC, The Netherlands
Nicola Ferro (http://www.dei.unipd.it/~ferro/) is full professor in computer science at the University of Padua, Italy. His research interests include information retrieval, its experimental evaluation, multilingual information access and digital libraries. He is the coordinator of the CLEF evaluation initiative, which involves more than 200 research groups world-wide in large-scale IR evaluation activities. He was the coordinator of the EU Seventh Framework Programme Network of Excellence PROMISE on information retrieval evaluation. He is associate editor of ACM TOIS and was general chair of ECIR 2016.
Nicola Ferro Department of Information Engineering, University of Padua, Italy
Fosca Giannotti is a director of research of computer science at the Information Science
and Technology Institute "A. Faedo" of the National Research Council, Pisa, Italy.
Fosca Giannotti is a pioneering scientist in mobility data mining, social network
analysis and privacy-preserving data mining. Fosca leads the Pisa KDD Lab - Knowledge Discovery
and Data Mining Laboratory http://kdd.isti.cnr.it,
a joint research initiative of the University of Pisa and ISTI-CNR, founded in 1994 as one of
the earliest research lab centered on data mining. Fosca's research focus is on social mining
from big data: smart cities, human dynamics, social and economic networks, ethics and trust,
diffusion of innovations. She has coordinated tens of European projects and industrial collaborations.
Fosca is currently the coordinator of SoBigData, the European research infrastructure on Big
Data Analytics and Social Mining http://www.sobigdata.eu,
an ecosystem of ten cutting edge European research centres providing an open platform for
interdisciplinary data science and data-driven innovation. Recently she became the recipient of
a prestigious ERC Advanced Grant entitled XAI – Science and technology for the explanation of
AI decision making. Contacts: email: fosca.giannotti@isti.cnr.it
Fosca Giannotti KDD Lab, ISTI-CNR, Italy
Gareth Jones is Professor of Computing in the School of Computing, and a Principal Investigator in
the ADAPT Research Centre, Dublin City University, Ireland. His research focuses on multiple topics
in information retrieval including adaptive search, multimedia information retrieval (particularly
for spoken content), multilingual information retrieval, interactive and algorithm search for
lifelogging. A particular focus in much of this work has been the development of evaluation frameworks
including task design, test collection specification and construction, and the introduction of new task
specific evaluation metrics. He is co-founder of the MediaEval multimedia benchmark evaluation initiative,
and since 2002 has coordinated a variety of benchmark tasks at CLEF, FIRE, NTCIR and TRECVid. He has
authored a book chapter on the use of crowdsourcing methods in language and multimedia research,
and co-authored a volume on Spoken Content Retrieval in the Foundation and Trends in Information
Retrieval series. He regularly serves on programme committees leading conferences in information retrieval,
multimedia, natural language processing and human-computer interaction. He served as Programme co-Chair
for ACM CIKM 2010 amd ECIR 2011, and as General co-Chair for ACM SIGIR 2013 and CLEF 2017.
Gareth Jones ADAPT Centre, Dublin City University, Ireland
Maria Keet is an Associate Professor with the Department of Computer Science, University of Cape Town. She focuses on knowledge engineering with ontologies, conceptual data modelling, and their interaction with natural language, and she leads the KEEN team. She is and has been PI and participated in several internationally and nationally funded projects on these themes, is currently PC chair of EKAW20 and has chaired for other scientific events, including FOIS18, ISAO18, ISWC19, and ESWC14, and is a member of the executive committee of the IAOA. She wrote the first textbook on ontology engineering for computer scientists.
Before her employment at UCT, Maria was a Senior lecturer at the School of Computer Science, University of KwaZulu-Natal, South Africa. Before that, she was an Assistant Professor at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy, where she also obtained her PhD in Computer Science (2008).
Maria Keet University of Cape Town, South Africa
Maria Maistro is a post-doctoral researcher in information retrieval (IR) at the Department of Computer science at the University of Copenhagen. She holds a PhD in Computer Science, and specifically IR (on the exploitation of user signals and stochastic models for IR evaluation) and an MSc in Mathematics (specialising in probability and stochastic financial methods, operational research, and optimal control theory), both from the University of Padua, Italy. Her research focuses on IR, and particularly on evaluation, reproducibility and replicability, click log analysis, learning to rank, expert search, and machine learning applied to IR.
Maria Maistro University of Copenhagen, Denmark
Stan Matwin is the Professor and Canada Research Chair (Tier 1) at the Faculty of Computer Science,
Dalhousie University, Canada, and the Director of the Institute for Big Data Analytics at Dalhousie.
Internationally recognized for his work in Machine Learning and Artificial Intelligence, author and
co-author of more than 300 refereed papers, and a supervisor of more than 70 graduate students. Stan
has taught Machine Learning, Data mining and Big Data at universities in Canada, the U.S, Europe, and
Latin America. He has designed and developed the M.Sc. in Electronic Commerce degree at the University
of Ottawa and the Graduate Certificate in Big Text Data at Dalhousie University. He currently leads
the pan-Canadian Marine Environmental Research Infrastructure for Data Integration and Application
Network (MERIDIAN).
Stan Matwin Faculty of Computer Science, Dalhousie University, Canada
Bhaskar Mitra is a Principal Applied Scientist at Bing in the Microsoft Research Montreal lab. He joined Microsoft in 2006 and Bing—then called Live Search—in 2007. Previously, he has been part of several Microsoft labs in Hyderabad (India), Bellevue (USA), and Cambridge (UK). Over the years in Bing, he worked on several problems related to document ranking, entity ranking, query formulation, and evaluation. His interests include machine learning and information retrieval, and in particular the topic of neural information retrieval (IR). He co-organized multiple workshops and tutorials on neural IR, and also served as a guest editor for the special issue of the Information Retrieval Journal on the same subject. He is currently pursuing a part-time doctorate at University College London under the supervision of Dr. Emine Yilmaz and Dr. David Barber.
Bhaskar Mitra Microsoft and University College London, Canada
Axel Ngonga studied Computer Science and Physics at Leipzig University. He completed his PhD on the extraction of knowledge graphs from text corpora in 2009. His habilitation on data integration for the Web of Data was completed in 2018. He is now a full professor at Paderborn University, Germany, where he leads the DICE research group (http://dice-research.org). In his research, Axel develops full-stack solutions for knowledge graphs at scale ranging from knowledge extraction from legacy data to scalable machine learning approaches. The evaluation of the veracity of facts in knowledge graphs is of particular interest to his team as a precursor to explainable and responsible AI solutions.
Axel-Cyrille Ngonga Ngomo Paderborn University, Department of Computer Science, Data Science Group, Germany
Douglas Oard is a Professor at the University of Maryland, College Park (USA), with joint appointments in the College of Information Studies (Maryland’s iSchool) and the University of Maryland Institute for Advanced Computer Studies (UMIACS). His research interests center around the use of emerging technologies to support information seeking by end users, including cross-language retrieval, speech retrieval, e-discovery in civil litigation, and protection of sensitive content during retrieval.
Additional information is available at http://terpconnect.umd.edu/~oard/.
Additional information is available at http://terpconnect.umd.edu/~oard/.
Doug Oard University of Maryland, College Park, USA
Dino Pedreschi is a professor of computer science at the University of Pisa, and a pioneering
scientist in data science. He co-leads the Pisa KDD Lab - Knowledge Discovery and Data Mining
Laboratory http://kdd.isti.cnr.it, a joint research
initiative of the University of Pisa and the Information Science and Technology Institute of
the Italian National Research Council. His research focus is on big data analytics and mining
and their impact on society. He is a founder of the Business Informatics MSc program at Univ.
Pisa, a course targeted at the education of interdisciplinary data scientists, and of SoBigData.eu,
the European H2020 Research Infrastructure "Big Data Analytics and Social Mining
Ecosystem" www.sobigdata.eu. Dino has been a visiting scientist at Barabasi Lab (Center for
Complex Network Research) of Northeastern University, Boston, and earlier at the University of
Texas at Austin, at CWI Amsterdam and at UCLA. In 2009, Dino received a Google Research Award
for his research on privacy-preserving data mining. Dino is a member of the expert group in
AI of the Italian Ministry of research and the director of the Data Science PhD program at
Scuola Normale Superiore in Pisa. Dino is a co-PI of the 2019 ERC grant XAI. Contacts:
email: dino.pedreschi@unipi.it
Dino Pedreschi KDD Lab, University of Pisa, Italy
Andreas Rauber is Head of the Information and Software Engineering Group (IFS) at the
Department of Information Systems Engineering (ISE) at the Vienna University of Technology
(TU Wien). He furthermore is president of AARIT, the Austrian Association for Research in IT
and a Key Researcher at Secure Business Austria (SBA-Research). He received his MSc and PhD
in Computer Science from the Vienna University of Technology in 1997 and 2000, respectively.
In 2001 he joined the National Research Council of Italy (CNR) in Pisa as an ERCIM Research
Fellow, followed by an ERCIM Research position at the French National Institute for Research
in Computer Science and Control (INRIA), at Rocquencourt, France, in 2002. From 2004-2008
he was also head of the iSpaces research group at the eCommerce Competence Center (ec3).
Andreas Rauber Department of Information Systems Engineering, TU Wien - Vienna University of Technology, Austria
Hussein Suleman is Head of Department and Professor in Computer Science at the University of Cape Town. His research is situated within the Centre for ICT for Development (ICT4D) and the Digital Libraries Laboratory. Hussein's main research interests are in digital libraries, ICT4D, African language information retrieval, cultural heritage preservation, Internet technology and educational technology. He has in the past worked extensively on architecture and interoperability issues related to digital library systems, with a growing emphasis on the relationship between low resource conditions and such architectures. This has evolved into a focus on ICT for development (ICT4D) and its alignment with digital libraries and IR.
More information can be found at http://www.husseinsspace.com/
Hussein Suleman University of Cape Town, South Africa
Luis Torgo is a Tier I Canada Research Chair in Spatiotemporal Ocean Data Analytics and a Professor of Computer Science at Dalhousie University. He also holds appointments at the University of Porto, Portugal and at New York University, USA, where he has been teaching at the Master of Science in Business Analytics since 2014. At Dalhousie University, L. Torgo carries out his research in the context of the Institute for Big Data Analytics. His research revolves around the general area of Data Science, with a strong focus on Predictive Analytics for data with spatial, temporal or spatiotemporal dependencies. Recently, he has been focusing his work on modelling rare events, with applications to fraud detection, prediction of extreme values and monitoring activities for anticipating anomalous behavior. L. Torgo is also the CEO and one of the founding partners of KNOYDA a company devoted to training and consulting within data science.
Luis Torgo Faculty of Computer Science, Dalhousie University, Canada
Zeynep Akkalyoncu Yilmaz received her BSc in Computer Engineering from the Middle East Technical
University, Turkey in 2017. Recently she has completed her MMath in Computer Science at the
University of Waterloo, Canada where she focused on information retrieval, particularly the application
of deep learning and language models, reproducibility and replicability.
Zeynep Akkalyoncu Yilmaz School of Computer Science, University of Waterloo, Canada
Emine Yilmaz is a Professor at University College London, Department of Computer Science. She also works as a research consultant for Microsoft. She is the recipient of Bloomberg Data Science Research Award in 2018, the Karen Sparck Jones 2015 Award and the Google Faculty Research Award in 2014. Emine's current research interests include information retrieval, data mining and applications of machine learning. She has published research papers extensively at major venues such as ACM SIGIR, CIKM and WSDM, gave several tutorials as part of top conferences, and organized various workshops. Her research has been widely adopted by the information retrieval community and the sampling methods she has designed for efficient retrieval evaluation have been commonly used and made publicly available by the Text Retrieval Conference (TREC). She has served in various roles including PC Chair for the ACM SIGIR 2018 and ACM ICTIR 2017 Conferences, Practice and Experience Chair for ACM WSDM 2017, and as the Doctoral Consortium Chair for ECIR 2017. She is an elected member of the executive committee of ACM SIGIR and serves as a co-editor-in-chief for the Information Retrieval Journal.
Emine Yilmaz University College London and Amazon
Provisional Programme
| Monday 27 January 2020 | |
|---|---|
|
0845 Welcome (Ben Carterette), LT2A 0900 Lecture - Introduction to Information Retrieval (Charlie Clarke, Zeynep Akkalyoncu Yilmaz), LT2A | |
| 1015 Coffee Break, Room 221 | |
| 1045 Lecture - Introduction to Information Retrieval (Charlie Clarke, Zeynep Akkalyoncu Yilmaz), LT2A | |
| 1200 Lunch, Room 221 | |
| 1300 Lab - Introduction to Information Retrieval (Charlie Clarke, Zeynep Akkalyoncu Yilmaz), Senior Lab | |
| 1430 Coffee Break, Room 221 | |
| 1500 Lab - Introduction to Information Retrieval (Charlie Clarke, Zeynep Akkalyoncu Yilmaz), Senior Lab | |
| 1630 Break | |
| 1700-1800 Keynote - IR4All: Building Search Engines for Everyone (Doug Oard), LT2A | |
| Tuesday 28 January 2020 | |
| 0900 Lecture - Data Mining: From an ad-hoc art form to solid, reproducible processes leading to transparent and accountable outcomes (Andreas Rauber), LT2A | |
| 1015 Coffee Break, Room 221 | |
| 1045 Lecture - Data Mining: From an ad-hoc art form to solid, reproducible processes leading to transparent and accountable outcomes (Andreas Rauber), LT2A | |
| 1200 Lunch, Room 221 | |
| 1300 Lab - Data Mining: From an ad-hoc art form to solid, reproducible processes leading to transparent and accountable outcomes (Andreas Rauber), Senior Lab | |
| 1430 Coffee Break, Room 221 | |
| 1500 Lab - Data Mining: From an ad-hoc art form to solid, reproducible processes leading to transparent and accountable outcomes (Andreas Rauber), Senior Lab | |
| 1630 Break | |
| 1700-1800 Poster Reception, Room 221 | |
| Wednesday 29 January 2020 | |
| 0900 Lecture - The Role of Evaluation for Search (Nicola Ferro and Maria Maistro), LT2A | 0900 Lecture - Fact Checking (Axel-Cyrille Ngonga Ngomo), Room 220 |
| 1015 Coffee Break, Room 221 | |
| 1045 Lecture - The Role of Evaluation for Search (Nicola Ferro and Maria Maistro), LT2A | 1045 Lecture - Fact Checking (Axel-Cyrille Ngonga Ngomo), Room 220 |
| 1200 Lunch, Room 221 | |
| 1300 Lab - The Role of Evaluation for Search (Nicola Ferro and Maria Maistro), Senior Lab | 1300 Lab - Fact Checking (Axel-Cyrille Ngonga Ngomo), Ishango Lab |
| 1430 Coffee Break, Room 221 | |
| 1500 Lab - The Role of Evaluation for Search (Nicola Ferro and Maria Maistro), Senior Lab | 1500 Lab - Fact Checking (Axel-Cyrille Ngonga Ngomo), Ishango Lab |
| 1630 Break | |
| 1700-1800 Keynote - IR and DM for Development (Hussein Suleman), LT2A | |
| 2100 (Optional) Panel - How to do research (Chairs: Ben Carterette, Lighton Phiri), All Africa House Seminar Room | |
| Thursday 30 January 2020 | |
| 0900 Lecture - Crowdsourcing for Language and Multimedia Research (Gareth Jones and Maria Eskevich), LT2A | 0900 Lecture - Spatio-Temporal Data Mining: Methods and applications to ocean data (Stan Matwin and Luis Torgo), Room 220 |
| 1015 Coffee Break, Room 221 | |
| 1045 Lecture - Crowdsourcing for Language and Multimedia Research (Gareth Jones and Maria Eskevich), LT2A | 1045 Lecture - Spatio-Temporal Data Mining: Methods and applications to ocean data (Stan Matwin and Luis Torgo), Room 220 |
| 1200 Lunch, Room 221 | |
| 1230 Optional External Event: School of IT Seminar, AI and Data Science for Conservation (Tanya Berger-Wolf), Room 302 | |
| 1330 Lab - Crowdsourcing for Language and Multimedia Research (Gareth Jones and Maria Eskevich), Senior Lab | 1330 Lab - Spatio-Temporal Data Mining: Methods and applications to ocean data (Stan Matwin and Luis Torgo), Ishango Lab |
| 1500 Coffee Break, Room 221 | |
| 1515 Lab - Crowdsourcing for Language and Multimedia Research (Gareth Jones and Maria Eskevich), Senior Lab | 1515 Lab - Spatio-Temporal Data Mining: Methods and applications to ocean data (Stan Matwin and Luis Torgo), Ishango Lab |
| 1645 Break | |
| 1700-1800 Keynote (Maria Keet), LT2A | |
| 1900 School Dinner, Gold Restaurant | |
| Friday 31 January 2020 | |
| 0900 Lecture - Learning to Rank for Information Retrieval with Neural Networks (Bhaskar Mitra, Nick Craswell, Emine Yilmaz and Daniel Campos), LT2A | 0900 Lecture - Explainable Machine Learning for Trustworthy Artificial Intelligence (Fosca Giannotti and Dino Pedreschi), Room 220 |
| 1015 Coffee Break, Room 221 | |
| 1045 Lecture - Learning to Rank for Information Retrieval with Neural Networks (Bhaskar Mitra, Nick Craswell, Emine Yilmaz and Daniel Campos), LT2A | 1045 Lecture - Explainable Machine Learning for Trustworthy Artificial Intelligence (Fosca Giannotti and Dino Pedreschi), Room 220 |
| 1200 Lunch, Room 221 | |
| 1300 Lab - Learning to Rank for Information Retrieval with Neural Networks (Bhaskar Mitra, Nick Craswell, Emine Yilmaz and Daniel Campos), Senior Lab | 1300 Lab - Explainable Machine Learning for Trustworthy Artificial Intelligence (Fosca Giannotti and Dino Pedreschi), Ishango Lab |
| 1430 Coffee Break, Room 221 | |
| 1500 Lab - Learning to Rank for Information Retrieval with Neural Networks (Bhaskar Mitra, Nick Craswell, Emine Yilmaz and Daniel Campos), Senior Lab | 1500 Lab - Explainable Machine Learning for Trustworthy Artificial Intelligence (Fosca Giannotti and Dino Pedreschi), Ishango Lab |
| 1630 Break | |
| 1700-1800 Panel on Research in ML for IR and DM in Africa (Chair: Tamer Elsayed), LT2A | |
| 1800 Closing Ceremony, LT2A | |
Registration
All participants
USD100- All lectures, labs and keynotes
- All lunches and coffee/tea, welcome reception and school reception
* Registration is closed *
LOCATION
Main Venue
Upper Campus
University of Cape Town
Cape Town, South Africa
Directions to get to UCT Upper Campus
Lab Venues
Computer Science Senior Lab / Ishango Lab
Level 2A / 1
Computer Science Building
UCT Upper Campus Map
TRAVEL AND ACCOMMODATION
Travel to Cape Town
There are regular direct flights to Cape Town International Airport from some international cities, and hourly connections from O R Tambo International Airport in Johannesburg.
Upon arrival, use a registered taxi or shuttle service (e.g., City Hopper, Sport Shuttle) or Uber taxi for the 15km journey to your accommodation. The MyCiti bus service only goes to the city centre.
Recommended Accommodation
UCT All Africa House ($/$$)
UCT offers basic visiting scholar accommodation for academics at All Africa House, which is close to the main campus.
Guesthouses near UCT ($$)
The following guesthouses are close to the university and may be booked online on hotels.com/booking.com.
- Devonshire House, 6 Lovers Walk, Rondebosch
- Knightsbury Guesthouse, 15 Linkoping Road, Rondebosch
- Little Scotia Guesthouse, 5 Rustenburg Avenue, Rondebosch
- Riversong Guesthouse, 14 Esme Road, Newlands
Hotels near UCT ($$$)
The following hotels are close to the university and may be booked online on hotels.com/booking.com.
- Park Inn by Radisson Newlands, 10 Hemlock Street, Newlands
- Southern Sun Newlands, 7 Main Road, Newlands
There will be a daily shuttle service to/from these hotels.
Organisers
Tamer Elsayed Qatar University, Qatar AFIRM 2020 General Co-Chair
Hussein Suleman University of Cape Town, South Africa AFIRM 2020 General Co-Chair
Tanya Berger-Wolf Director, Translational Data Analytics Institute, The Ohio State University, USA Programme Co-Chair
Maria Keet University of Cape Town, South Africa Programme Co-Chair
Fabrizio Sebastiani Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, Italy Programme Co-Chair
Benjamin Carterette Spotify Research, USA Steering Committee Chair
Programme Committee:
Ricardo Baeza-Yates, Universitat Pompeu Fabra, Spain
Maria Maistro, University of Copenhagen, Denmark
Douglas Oard, University of Maryland, USA
Iadh Ounis, University of Glasgow, UK
Lighton Phiri, University of Zambia, Zambia
Barbara Poblete, University of Chile, Chile
Matteo Riondato, Amherst College, USA
Mark Sanderson, RMIT University, Australia
Guido Zuccon, The University of Queensland, Australia
Maria Maistro, University of Copenhagen, Denmark
Douglas Oard, University of Maryland, USA
Iadh Ounis, University of Glasgow, UK
Lighton Phiri, University of Zambia, Zambia
Barbara Poblete, University of Chile, Chile
Matteo Riondato, Amherst College, USA
Mark Sanderson, RMIT University, Australia
Guido Zuccon, The University of Queensland, Australia
AFIRM Steering Committee:
Benjamin Carterette, Chair, Spotify
Diane Kelly, SIGIR representative, University of Tennessee Knoxville
Jian Pei, SIGKDD representative, Simon Fraser University
Abdigani Diriye, IBM Kenya
Ricardo Baeza-Yates, NTENT / Northeastern University
Lighton Phiri, University of Zambia
Reuben Dlamini, University of the Witwatersrand
Douglas Oard, University of Maryland
Diane Kelly, SIGIR representative, University of Tennessee Knoxville
Jian Pei, SIGKDD representative, Simon Fraser University
Abdigani Diriye, IBM Kenya
Ricardo Baeza-Yates, NTENT / Northeastern University
Lighton Phiri, University of Zambia
Reuben Dlamini, University of the Witwatersrand
Douglas Oard, University of Maryland
CONTACT
Hussein Suleman <hussein@cs.uct.ac.za>
Tamer Elsayed <telsayed@qu.edu.qa>
Host Organisations
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