7:00 – 4:00 ASRC MKT
- Working on slides
- More LSTM? Nope
- Fika – Sy’s talk on effective conference presentations
7:00 – 4:00 ASRC MKT
7:00 – 8:00 ASRC MKT
9:00 – ASRC IRAD
7:00 – 5:30 ASRC
7:00 – 3:00 ASRC

7:00 – 3:00 ASRC MKT

7:00 – ASRC MKT
3:00 – 5:00 Fika & meeting with Wayne
Modeling relatedness and demography in social evolution
Listening to We Can’t Talk Anymore? Understanding the Structural Roots of Partisan Polarization and the Decline of Democratic Discourse in 21st Century America. Very Tajfel
Sent out a Doodle to nail down the time for the PhD review
Went looking for something that talks about the cognitive load for TIT-FOR-TAT in the Iterated Prisoner’s Dilemma and can’t find anything. Did find this though, that is kind of interesting: New tack wins prisoner’s dilemma. It’s a collective intelligence approach:
7:00 – 4:30 ASRC MKT
7:00 – 3:00 ASRC MKT

agentRelationships GreenFlockSh_1 sampleData 0.0 cell cell_[4, 6] influences AGENT influence GreenFlockSh_0 val = 0.8778825396520958 influence GreenFlockSh_2 val = 0.8859173062045552 influence GreenFlockSh_3 val = 0.9390368569108515 influence GreenFlockSh_4 val = 0.9774328763377834 influences SOURCE influence UL_point val = 0.032906293611796644
“There was no colusion“…”Anyone involved in that meddling to justice.“
Premises for Data Science Magical Realism
UMAP Uniform Manifold Approximation and Projection for Dimension Reduction | SciPy 2018 |(video) (paper)
7:00 – 5:00 ASRC MKT
I wrote up some thoughts about Trump’s press conference with Putin.
7:00 – 4:30 ASRC MKT
Vacation is over. Here are some pix
7:00 – 3:00 ASRC MKT
3:00 – 6:00 Fika, then meeting with Wayne
Stampede thinking:
From Alessandro Bozzon (Scholar):
My research lies at the intersection of crowdsourcing, user modeling, and web information retrieval. I study and build novel Social Data science methods and tools that combine the cognitive and reasoning abilities of individuals and crowds, with the computational powers of machines, and the value of big amounts of heterogeneous data.
I am currently active in three investigation lines related to Social Data Science: Intelligent Cities (SocialGlass; Crowdsourced Knowledge Creation in Online Social Communities (SEALINCMedia COMMIT/, StackOverflow); and Enterprise Crowdsourcing (with IBM Benelux CAS).
Scott Klemmer Keynote 2





Participated in the panel on innovation in crowds (invited). There is a video, so I can figure out who to add:
Eszter Hargitti – U of Zurich
When Ties Bind And When Ties Divide: The Effects Of Communication Networks On Group Processes And Performance 

Enhancing Collective Intelligence of Human-Machine Teams 

Implicit Coordination in Peer Production Networks 



Collective Intelligence Systems for Analogical Search (must read! Joel Chan is at UMD)
Rational Collective Learning in the Laboratory
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