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1st Workshop for Women and Underrepresented Minorities (WiNLP) at ACL 2017 - discussion tables

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1st Workshop for Women and Underrepresented Minorities (WiNLP) at ACL 2017 - discussion table topics and seed questions

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1st Workshop for Women and Underrepresented Minorities (WiNLP) at ACL 2017 - discussion tables

  1. 1. ACL 2017 – Vancouver, Canada
  2. 2. Mission of Mentoring Lunch •  Advice for next career stages and difficult decisions •  Best practices for common challenges researchers face •  “Group therapy” – everyone struggles / has struggled at some point, even now established researchers •  Opportunity to network with mentors and other attendees §  Encourage cohort forming
  3. 3. Mentoring Sessions •  Lunch round-table event §  Salon 3 – right next door §  Grab a plate and find a table – topic-based and sponsorship tables •  Topic-based tables: seed questions with 2 mentors •  Sponsorship tables: 1-3 representatives from each sponsor §  Move around §  ~12:00 – 13:00
  4. 4. Mentoring Sessions •  1-on-1 mentoring §  Introduction emails were sent to mentors/mentees §  Matching based on research interest §  Meet here after the talks (17:30) or during the day •  Not a mentor yet? Volunteer for next year’s event!
  5. 5. Mentoring Tables Table 1: Establishing collaborations & networking Mentors: Ted Pedersen, Svitlana Volkova Seed questions: •  How can I initiate research-inspiring conversations with my colleagues? •  What makes a good collaborator? (How can I be one? How can I tell if someone else will be?) •  When should I make someone a coauthor? •  Establishing interdisciplinary collaborations and doing interdisciplinary work •  How can I get noticed and express opinions without feeling bossy? •  How can I tell if a favor is too much to ask of a network connection? •  What is the best way to approach someone at a conference?
  6. 6. Mentoring Tables Table 2: Scientific communication Mentors: Karin Verspoor, Lisa Michaud Seed questions: •  How can I communicate my work to a lay audience? •  Fairness, accountability, transparency of ML from a communications perspective •  Which audiences should I reach out to communicate my work? •  How do I overcome my fear of giving talks?
  7. 7. Mentoring Tables Table 3: Choosing between academia and industry Mentors: Martha Palmer, Wei Xu Seed questions: •  Benefits and downsides of both •  What if I like doing research but don’t like teaching so much? •  Your story - how did you choose between academia and industry •  Transitioning between both, both directions
  8. 8. Mentoring Tables Table 4: Doing research in industry & keeping up with academia while in industry Mentors: Daniel Dahlmeier, Pascale Fung Seed questions: •  How can I balance the perhaps conflicting needs of short-term immediate results with tangible profits vs. long-term research goals? •  How to pick a job conducive to research •  Challenges of keeping up with academia while in industry •  Maintaining academic collaborations •  How to keep publishing
  9. 9. Mentoring Tables Table 5: Getting a faculty position Mentors: Hal Daumé III, Nanyun Peng Seed questions: •  What should I do at various stages of grad student / postdoc life to prepare for an academic job? •  How do I decide where to apply to? How important are factors such as prestige of university, existing NLP group, strong tech industry close by, etc.? •  Preparing for the interview •  Your job search experience •  What do you know now that you wish you knew before getting a faculty position?
  10. 10. Mentoring Tables Table 6: Surviving graduate school Mentors: Liang Huang, Ndapa Nakashole Seed questions: •  What were/are your biggest obstacles to progress and how did/do I overcome them? •  How do I know if I am making good progress? How does one evaluate academic success? •  What are good ways to juggle many academic responsibilities? (Teaching, coursework, research) •  How can I manage my time so that I can make regular progress on research? •  How should I manage my relationship with my advisor? •  How can I deal with failure?
  11. 11. Mentoring Tables Table 7: Work/Life Balance Mentors: Marek Rei, Veronika Vincze Seed questions: •  Anything specific to academia / industry? •  How do I know if I am working the right amount? •  How can I stop comparing myself to my colleagues? •  What should I do if my friends, family, partner, or colleagues are distracting me from research or pressuring me to succeed? •  How can I make more room in my life for friends, family, exercise, or hobbies? (without hurting my career)
  12. 12. Mentoring Tables Table 8: Long-term career planning, becoming a research leader & building your professional brand Mentors: Jason Eisner, Bonnie Webber Seed questions: •  What makes for long-term career satisfaction? •  What short-term sacrifices are and are not worth making? •  How can I keep my options open without appearing indecisive? •  What is the best way to handle not getting what you thought was the perfect next step? •  How do I pick a good long-term research agenda? •  How do I inspire people to work on my research agenda? •  How do I recognise impactful (in long term) research trends? •  What is the most important thing I should spend my time on? •  What do you know now, as an established scientist, that you wish you knew as an early-career researcher? •  How do I know which of my skills are most valuable? •  Social media tools - Twitter, LinkedIn? •  How to be your own advocate
  13. 13. Mentoring Tables Table 9: Being a non-native speaker in the ACL community Mentors: Jekaterina Novikova, Zhou Yu Seed questions: •  What challenges do non-native speakers in NLP face? •  How can one overcome such challenges? •  Your experience
  14. 14. Mentoring Tables Table 10: Getting a postdoc position & doing a postdoc Mentors: Timothy Baldwin, Natalie Schluter Seed questions: •  - Application process •  - What should I do at various stages of grad student life to prepare for an academic job? •  - How do I decide where to apply to? How important are factors such as topic, prestige of university, NLP group, etc? •  - Your postdoc search experience •  - What do you know now that you wish you knew before doing a postdoc? •  - How do criteria for a good postdoc position differ from those for a good PhD position? •  - What are the most crucial things to achieve during a postdoc?
  15. 15. Sponsorship Tables Table 11: Google (Gold sponsor) Table 12: IBM, Interdisciplinary Research - University Of Maryland (Silver sponsors) Table 13: Facebook, Thomson Reuters (Silver sponsors) Table 14: Amazon, KPMG (Silver sponsors) Table 15: Bloomberg, Elsevier, Microsoft, Qntfy, Talla (Bronze sponsors)

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