27-31 JANUARY 2020, CAPE TOWN, SOUTH AFRICA

AFIRM: ACM SIGIR/SIGKDD Africa Summer School on Machine Learning for Data Mining and Search

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

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Provisional Programme

Monday 27 January 2020
0845 Welcome (Ben Carterette)
0900 Lecture - Introduction to Information Retrieval (Charlie Clarke, Zeynep Akkalyoncu Yilmaz)
1015 Coffee Break
1045 Lecture - Introduction to Information Retrieval (Charlie Clarke, Zeynep Akkalyoncu Yilmaz)
1200 Lunch
1300 Lab - Introduction to Information Retrieval (Charlie Clarke, Zeynep Akkalyoncu Yilmaz)
1430 Coffee Break
1500 Lab - Introduction to Information Retrieval (Charlie Clarke, Zeynep Akkalyoncu Yilmaz)
1630 Break
1700-1800 Keynote - IR4All: Building Search Engines for Everyone (Doug Oard)
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)
1015 Coffee Break
1045 Lecture - Data Mining: From an ad-hoc art form to solid, reproducible processes leading to transparent and accountable outcomes (Andreas Rauber)
1200 Lunch
1300 Lab - Data Mining: From an ad-hoc art form to solid, reproducible processes leading to transparent and accountable outcomes (Andreas Rauber)
1430 Coffee Break
1500 Lab - Data Mining: From an ad-hoc art form to solid, reproducible processes leading to transparent and accountable outcomes (Andreas Rauber)
1630 Break
1700-1800 Poster Reception
Wednesday 29 January 2020
0900 Lecture - The Role of Evaluation for Search (Nicola Ferro and Maria Maistro) 0900 Lecture - Fact Checking (Axel-Cyrille Ngonga Ngomo)
1015 Coffee Break
1045 Lecture - The Role of Evaluation for Search (Nicola Ferro and Maria Maistro) 1045 Lecture - Fact Checking (Axel-Cyrille Ngonga Ngomo)
1200 Lunch
1300 Lab - The Role of Evaluation for Search (Nicola Ferro and Maria Maistro) 1300 Lab - Fact Checking (Axel-Cyrille Ngonga Ngomo)
1430 Coffee Break
1500 Lab - The Role of Evaluation for Search (Nicola Ferro and Maria Maistro) 1500 Lab - Fact Checking (Axel-Cyrille Ngonga Ngomo)
1630 Break
1700-1800 Keynote - IR and DM for Development (Hussein Suleman
2100 (Optional) Panel - How to do research
Thursday 30 January 2020
0900 Lecture - Crowdsourcing for Language and Multimedia Research (Gareth Jones and Maria Eskevich) 0900 Lecture - Spatio-Temporal Data Mining: Methods and applications to ocean data (Stan Matwin and Luis Torgo)
1015 Coffee Break
1045 Lecture - Crowdsourcing for Language and Multimedia Research (Gareth Jones and Maria Eskevich) 1045 Lecture - Spatio-Temporal Data Mining: Methods and applications to ocean data (Stan Matwin and Luis Torgo)
1200 Lunch
1300 Lab - Crowdsourcing for Language and Multimedia Research (Gareth Jones and Maria Eskevich) 1300 Lab - Spatio-Temporal Data Mining: Methods and applications to ocean data (Stan Matwin and Luis Torgo)
1430 Coffee Break
1500 Lab - Crowdsourcing for Language and Multimedia Research (Gareth Jones and Maria Eskevich) 1500 Lab - Spatio-Temporal Data Mining: Methods and applications to ocean data (Stan Matwin and Luis Torgo)
1630 Break
1700-1800 Panel on Research in ML for IR and DM in Africa (Chair: Tamer Elsayed)
1900 School Dinner
Friday 31 January 2020
0900 Lecture - Learning to Rank for Information Retrieval with Neural Networks (Bhaskar Mitra, Nick Craswell, Emine Yilmaz and Daniel Campos) 0900 Lecture - Explainable Machine Learning for Trustworthy Artificial Intelligence (Fosca Giannotti and Dino Pedreschi)
1015 Coffee Break
1045 Lecture - Learning to Rank for Information Retrieval with Neural Networks (Bhaskar Mitra, Nick Craswell, Emine Yilmaz and Daniel Campos) 1045 Lecture - Explainable Machine Learning for Trustworthy Artificial Intelligence (Fosca Giannotti and Dino Pedreschi)
1200 Lunch
1300 Lab - Learning to Rank for Information Retrieval with Neural Networks (Bhaskar Mitra, Nick Craswell, Emine Yilmaz and Daniel Campos) 1300 Lab - Explainable Machine Learning for Trustworthy Artificial Intelligence (Fosca Giannotti and Dino Pedreschi)
1430 Coffee Break
1500 Lab - Learning to Rank for Information Retrieval with Neural Networks (Bhaskar Mitra, Nick Craswell, Emine Yilmaz and Daniel Campos) 1500 Lab - Explainable Machine Learning for Trustworthy Artificial Intelligence (Fosca Giannotti and Dino Pedreschi)
1630 Break
1700-1800 Keynote - Bias on Search and Recommender Systems (Ricardo Baeza-Yates)
1800 Closing Ceremony

Registration

All participants

USD100
  • All lectures, labs and keynotes
  • All lunches and coffee/tea, welcome reception and school reception
Register and pay registration fee

LOCATION

 
 

Main Venue

Upper Campus
University of Cape Town
Cape Town, South Africa
Directions to get to UCT Upper Campus

 
 

Lecture Venue (provisional)

Hlanganani Junction
Level 5
Chancellor Oppenheimer Library (Enter through Otto Beit Building)
UCT Upper Campus Map

 
 

Lab Venue (provisional)

Computer Science Senior Lab
Level 2A
Computer Science Building
UCT Upper Campus Map

Organisers

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Tamer Elsayed Qatar University, Qatar AFIRM 2020 General Co-Chair

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Hussein Suleman University of Cape Town, South Africa AFIRM 2020 General Co-Chair

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Tanya Berger-Wolf University of Illinois at Chicago, USA Programme Co-Chair

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Maria Keet University of Cape Town, South Africa Programme Co-Chair

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Fabrizio Sebastiani Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, Italy Programme Co-Chair

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Benjamin Carterette Spotify Research and University of Delaware, 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
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